Textbook Factor Demand Curves.

Science.gov (United States)

Davis, Joe C.

1994-01-01

Maintains that teachers and textbook graphics follow the same basic pattern in illustrating changes in demand curves when product prices increase. Asserts that the use of computer graphics will enable teachers to be more precise in their graphic presentation of price elasticity. (CFR)

MNE SPECIFIC FACTORS OF CORPORATE CAPITAL STRUCTURE: COMPARATIVE ANALYSIS IN TERMS OF FINANCIAL RESOURCES DEMAND AND SUPPLY

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Sergiy Tsyganov

2015-11-01

Full Text Available This paper investigates corporate capital structure of multinational enterprises. Its core subject is focused on corporate capital structure defining factors that are specific for MNE rather than for domestic corporations. Substantial part of scientific literature concentrates on country specific and firm specific factors of corporate capital structure with most research devoted to domestic corporations. The main goal of our paper is to discover among plenty of corporate capital structure factors those that are specific for MNE and to develop a new approach for analyzing these factors in terms of financial resources demand and supply. There are some corporate capital structure factors that influence directly and some that have indirect influence while there is also another set of factors having both direct and indirect influence on indebtedness. Different theoretical and empirical research confirm different directions. Methodology of our study is based on analysis of two fundamental market driving forces that are demand and supply. Their influence on corporate capital structure is of a primary origin and that is why the suggested approach is to our mind theoretically significant and practically important. Demand factors imply that a corporation creates demand for financial resources and its capital structure is defined internally. Supply factors imply an external capital structure since it is created by external investors’ supply of financial resources. On empirical level, we use the primary data of corporate financial statements to analyze the leverage of MNE based in different countries and representing different industries. The key results of our study show that the main MNE specific factors of capital structure include such demand factors as multinationality level, assets tangibility and political risk. The first two are firm specific factors that can influence corporate capital structure either directly or indirectly according to

Assessment of patients' awareness and factors influencing patients' demands for sedation in endodontics.

Science.gov (United States)

Huh, Yoo Kyeom; Montagnese, Thomas A; Harding, Jarrod; Aminoshariae, Anita; Mickel, Andre

2015-02-01

Endodontic therapy is perceived by many as a procedure to be feared. Many studies have reported that fear and anxiety are major deterrents to seeking dental care in general, but only a few deal with the use of sedation in endodontic therapies. The purpose of this study was to assess patients' awareness of and factors influencing the potential demand for sedation in endodontics. We hypothesized that there is an association between demographic factors and the demand for sedation in endodontics. A survey consisting of 24 questions was given to patients 18 years and older who presented to the graduate endodontic clinic. Results were collected and statistically analyzed. Thirty-six percent of patients reported that their perception of sedation was being put to sleep, and 27% perceived it as related to or reducing pain. Concerns associated with endodontic therapy were the fear of pain (35%), fear of needles (16%), difficulty getting numb (10%), and anxiety (7%). The 2 major demographic factors that influenced the demand for sedation were cost and the level of anxiety (P endodontic therapy if the option of sedation was available. The demand for sedation in endodontics is high. Patients' understanding of sedation varies. More patients would consider having endodontic procedures if sedation was available. The provision of sedation by endodontists could result in more patients accepting endodontic therapies. Copyright © 2015 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

Analysis Of Factors Affecting Demand Red Chili Pepper Capsicum Annum L In Solok And Effort Fulfillment

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Zulfitriyana

2015-08-01

Full Text Available Research on the analysis of the factors that influence the demand for red chilli Capsicum annuum L in Solok and compliance efforts implemented in March s.d April 2016. The purpose of this study consisted of 1 analyze the factors affecting the demand for red chili in Solok 2 analyze the elasticity of demand for red chili in Solok 3 know the effort that can be done to meet the demand of red chilli in Solok. To achieve the objectives of the first and second use secondary data for 15 fifteen years and to achieve the objectives the third used primary data. The method used is descriptive analytical method a method that is used to describe phenomena that exist which takes place in the present or past. The variables were observed in this study is the X1 price of red chilli X2 the price of green chili X3 onion prices X4 population X5 income and Y the number of requests red chili which is then analyzed by multiple linear regression elasticity of demand and SWOT. The results of that research addressing the factors that influence the demand for red chili in Solok is the price of red chilli itself the price of green chili as a substitute goods the number of population and income while onion prices affect the amount of red chili demand in Solok. But simultaneously variable X1 red chili prices X2 the price of green chili X3 onion prices X4 population and X5 income strongly influence demand red chili in Solok where the F test results show that F count F table 212.262 3600 with a significance level 0.000 0.010 and the most influential variable is the variable X4 population with the greatest value of beta Coefficients is 1100. Based on analysis of the elasticity of demand is known that red chili pepper is a normal good is inelastic to price elasticity coefficient value amp603p of -0.120. Green chili is substituting goods and shallots are complements of red chili with cross elasticity coefficient amp603px1 and amp603px2 respectively by 0293 and -0.635. While the

Linking demand and supply factors in identifying cultural ecosystem services of urban green infrastructures

DEFF Research Database (Denmark)

Hegetschweiler, K. Tessa; de Vries, Sjerp; Arnberger, Arne

2017-01-01

and supply factors together. The aim was to provide an overview of this highly interdisciplinary research, to describe how these linkages are being made and to identify which factors significantly influence dependent variables such as levels of use, activities or health and well-being benefits. Commonly used......Urban green infrastructure provides a number of cultural ecosystem services that are greatly appreciated by the public. In order to benefit from these services, actual contact with the respective ecosystem is often required. Furthermore, the type of services offered depend on the physical...... characteristics of the ecosystem. We conducted a review of publications dealing with demand or social factors such as user needs, preferences and values as well as spatially explicit supply or physical factors such as amount of green space, (bio)diversity, recreational infrastructure, etc. and linking demand...

Evaluation of socio-economic factors affecting the demand for health

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Abdosaleh Jafari

2014-04-01

Full Text Available Introduction: Individual health has been proved to be under the influence of various factors such as the use of health care services, diet, smoking and alcohol, physical environment, and health-related behaviors. Therefore, the main determinants of health are factors such as income, education, and access to health services, and systematic changes in these factors lead to socio-economic injustice in health. The present study was carried out through library and internet search. Medline and Google Scholar databases were also utilized. Combining Contents and Results: According to the present study, an increase in health input expenses would inevitably lead to aggravation of the health situation and decrease in income would result in the worst health status of the poor. Moreover, people with higher education use less health inputs; however, they enjoy higher status than those with lower educational levels. Conclusion: Health demand approach provides only a part of the information needed for policy-makers and decision-makers in health system. Theoretical and empirical analyses of the health claim could indicate that policy actions are likely to be more effective in overcoming barriers to health but are not capable of determining which one is likely to be more cost-effective . The demand for information about the health only provides the necessary tools about the benefits of special policy making decisions. So the tool should be combined with other techniques including cost-effectiveness and cost-benefit analyses.

Economic, demographic and social factors of energy demand in Mexican households, 2008-2014

Science.gov (United States)

Perez Pena, Rafael

This research project focuses on estimating the effect of economic, demographic, and social factors in residential energy demand in Mexico from 2008 to 2014. Therefore, it estimates demand equations for electricity, natural gas, liquefied petroleum gas (LPG), coal and natural gas using Mexican household data from 2008 to 2014. It also applies accessibility theory and it estimates energy access indicators using different specifications of demand for LPG in 2014. Sprawl measures, gravity model, and central place theory are the accessibility theory supporting the energy access indicators. Results suggest the greater the household income, the population size, the educational level of the householder, the energy access, and the lower the energy price and the household size, the greater the demand for energy in Mexico from 2008 to 2014. The greater the education, the lower the demand for firewood and coal. LPG and firewood have a monopolistically competitive market structure. Energy access indicators informed by accessibility theory are statistically significant and show the expected sign when applied to LPG in Mexican household in 2014.

FACTORS DECREASING HOUSEHOLD ELECTRICITY DEMAND – A QUALITATIVE APPROACH

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Shimon ELBAZ

2018-05-01

Full Text Available Reducing energy consumption through changes in individual consumers’ behaviors is one of the most important challenges of the present society and near future. Our qualitative study, based on semi-structured interviews, deals with the investigation of household consumer behavior, in order to explore ways for reducing the electricity demand, in the particular cultural context of a country with high levels of energy consumption in both summer and winter times – Israel. Various approaches, coming from economics, sociology, psychology or education were tested, for limiting the use of a particular, invisible and intangible merchandise - electricity. The main objective of the present study was to determine consumers’ perceptions about the various approaches that could be used to decrease the domestic demand and consumption of electricity. A secondary objective was to identify, based on consumers’ perceptions, the factors of influence that could be used in future quantitative researches and governance strategies. We found out that investigated families have a high level of education in the field of electricity consumption and marketing campaigns, which would make the classic energy educational approach less efficient. Household electricity consumers in Israel have awareness and willingness not to waste or consume electricity beyond what is necessary, but the necessary level is positioned quite high. The social comparison approach appears to be ineffective, as well, even if it proved its efficiency in other cultures. The psychological and the economic approach could be partially efficient, if certain influence factors are widely used. These factors include mainly the magnitude of the savings, the perceived behavioral control, the personal thermal comfort and the pro-environmental attitude. The most important managerial implication concerns the strategies that could be conceived by electricity companies and national authorities – based on un

19 CFR 103.23 - Factors in determining whether to disclose information pursuant to a demand.

Science.gov (United States)

2010-04-01

... 19 Customs Duties 1 2010-04-01 2010-04-01 false Factors in determining whether to disclose... Disclosure in Federal, State, Local, and Foreign Proceedings § 103.23 Factors in determining whether to... those demands with respect to which any of the following factors exist: (1) Disclosure would violate a...

A Budget Impact Model of Hemophilia Bypassing Agent Prophylaxis Relative to Recombinant Factor VIIa On-Demand.

Science.gov (United States)

Mehta, Darshan A; Oladapo, Abiola O; Epstein, Joshua D; Novack, Aaron R; Neufeld, Ellis J; Hay, Joel W

2016-02-01

Hemophilia patients use factor-clotting concentrates (factor VIII for hemophilia A and factor IX for hemophilia B) for improved blood clotting. These products are used to prevent or stop bleeding episodes. However, some hemophilia patients develop inhibitors (i.e., the patient's immune system develops antibodies against these factor concentrates). Hence, these patients do not respond well to the factor concentrates. A majority of hemophilia patients with inhibitors are managed on-demand with the following bypassing agents: recombinant factor VIIa (rFVIIa) and activated prothrombin complex concentrate (aPCC). The recently published U.S. registries Dosing Observational Study in Hemophilia (DOSE) and Hemostasis and Thrombosis Research Society (HTRS) reported higher rFVIIa on-demand use for bleed management than previously described. To estimate aPCC and rFVIIa prophylaxis costs relative to rFVIIa on-demand treatment cost based on rFVIIa doses reported in U.S. registries. A literature-based cost model was developed assuming a base case on-demand annual bleed rate (ABR) of 28.7 per inhibitor patient, which was taken from a randomized phase 3 clinical trial. The doses for rFVIIa on-demand were taken from the median dose per bleed reported by the DOSE and HTRS registries. Model inputs for aPCC and rFVIIa prophylaxis (i.e., dosing and efficacy) were derived from respective randomized clinical trials. Cost analysis was from the U.S. payer perspective, and only direct drug costs were considered. The drug cost was based on the Medicare Part B 2014 average sale price (ASP). Two-way sensitivity and threshold analyses were performed by simultaneously varying on-demand ABR, prophylaxis efficacy, and unit drug cost. In addition to studying relative costs associated with on-demand and prophylaxis treatments, relative cost per bleeding episode avoided were also calculated for aPCC and rFVIIa prophylaxis treatments. The prophylaxis efficacy reported in the trials were used to

The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis

International Nuclear Information System (INIS)

Wu, Ya; Zhang, Wanying

2016-01-01

With the rapid development of economy, especially the constant progress in industrialisation and urbanisation, China's energy consumption has increased annually. Coal consumption, which accounts for about 70% of total energy consumption, is of particular concern. Hence, it is crucial to study the driving factors behind coal demand in China. This work uses an input-output structural decomposition analysis (I-O SDA) model to decompose the increments of coal demand in China from 1997 to 2012 into the sum of the weighted average for eight driving factors from three aspects, including: domestic demand, foreign trade and industrial upgrading. Results show that: during the research period, the demand for coal increases by 153.3%, which is increased by 185.4% and 76.4% respectively due to the driving forces of domestic demand and foreign trade; in addition, industrial upgrading can effectively restrain the growth in coal demand with a contribution rate of −108.6%. On this basis, we mainly studied the driving factors of coal demand in six high energy-consuming industries, namely the electrical power, energy processing, metals, mining, building materials and chemical industries. Finally, we proposed targeted policy suggestions for the realisation of energy conservation and emissions reduction in China. - Highlights: •The driving factors behind coal demand in China from 1997 to 2012 are studied. •An input-output structural decomposition analysis is developed. •A fresh perspective of domestic demand, foreign trade, and industrial upgrading is employed. •The influences of these affecting factors on China's coal demand from six high energy-consuming industries are investigated. •Targeted policy suggestions for energy conservation and emissions reduction are suggested.

Demand Forecasting at Low Aggregation Levels using Factored Conditional Restricted Boltzmann Machine

DEFF Research Database (Denmark)

Mocanu, Elena; Nguyen, Phuong H.; Gibescu, Madeleine

2016-01-01

electric power consumption, local price and meteorological data collected from 1900 customers. The households are equipped with local generation and smart appliances capable of responding to realtime pricing signals. The results show that for the short-term (5 minute to 1 day ahead) prediction problems......The electrical demand forecasting problem can be regarded as a nonlinear time series prediction problem depending on many complex factors since it is required at various aggregation levels and at high temporal resolution. To solve this challenging problem, various time series and machine learning...... developed deep learning model for time series prediction, namely Factored Conditional Restricted Boltzmann Machine (FCRBM), and extend it for electrical demand forecasting. The assessment is made on the EcoGrid dataset, originating from the Bornholm island experiment in Denmark, consisting of aggregated...

Global sugar market – the analysis of factors influencing supply and demand

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Lenka Rumánková

2013-01-01

Full Text Available This article deals with an analysis of the world sugar market, and specifically focuses on the supply and demand of refined sugar and their main determinants. The article first identifies the main determinants of the world supply of and demand for sugar, and further, their effect on such variables is quantified. Further, the component correlations on the selected market are analyzed. This consists of the identification of the factors affecting the production of refined sugar, as one of the main elements of the supply of sugar, as well as an analysis of the world price of sugar, as one of the significant factors affecting the world sugar market. The said correlations are quantified with the utilization of regression analysis on the basis of time series of the individual variables within the years 1980–2010. On the basis of the conducted analysis, the main determinants of the sugar supply on the world market within the analyzed period, for which an effect has been established both from an economic viewpoint, as well as from a statistical viewpoint, can be considered to be sugar reserves, its price and the acreage of sugarcane. The main determinant of the demand for sugar is, according to the conducted analysis, the global GDP on a new value level, as well as converted to one inhabitant. Further, the analysis also established the effect of the price of sugar and its reserves on the world production of refined sugar, and, last but not least, also the long-term tendency in the development of the world price of sugar. The analysis has proven significant influence of refined sugar supply, reserves of refined sugar, its price and area of sugar cane on sugar supply. Then, the analysis detected GDP as the main determinant of the sugar demand and the long memory in sugar prices. Finally, the influence of delayed price, reserves and delayed reserves on production has been proven.

Risk factors for ischaemic heart disease mortality among men with different occupational physical demands. A 30-year prospective cohort study

DEFF Research Database (Denmark)

Holtermann, Andreas; Mortensen, Ole Steen; Søgaard, Karen

2012-01-01

, but less pronounced differences in risk factors for all-cause mortality between groups were found. Conclusions The risk factors for IHD and all-cause mortality, low physical fitness and low leisure-time physical activity are not identical for men with different physical work demands. Preventive initiatives......Objectives Men with high physical work demands have elevated cardiovascular strain, which may lead to enhanced atherosclerosis. Theoretically, the impact of risk factors for ischaemic heart disease (IHD) may thus depend on physical work demands. The authors investigated this hypothesis. Design.......7%) from all-cause mortality. Similarities and differences in risk predictors were found between men with low (n=1219), medium (n=2636) and high (n=846) physical work demands. After control for potential confounders, high physical fitness conferred a reduced risk of IHD mortality only among men with high...

Demand for long acting and permanent contraceptive methods and associated factors among family planning service users, Batu town, Central Ethiopia.

Science.gov (United States)

Haile, Anley; Fantahun, Mesganaw

2012-01-01

Evidence suggests a high unsatisfied demand for long acting and permanent contraceptive methods in sub-Saharan Africa. However, there is limited knowledge on demand for long acting and permanent contraceptive methods and associated factors in Ethiopia. The objective of this study was to assess demand for long acting and permanent contraceptive methods and associated factors among women of age group 18-49 years in Batu town, East Shoa Zone, Ethiopia. A facility based cross-sectional survey was conducted in six service delivery points from March to April 2009 on 398 women of age 18-49 years old. Thirteen (3%) were using long acting and permanent contraceptive methods and 89 (22.4%) wanted no more child in the future making the total demand of long acting and permanent contraceptive methods 24.4%. Older age group, multiparty, that the provider asked about reproductive intention, and the provider explained side effects of method selected were significantly associated with using LA and MPs (P demand and several socio demographic and family planning service quality related factors were associated with demand for long acting and permanent contraceptive methods indicating that multi-dimensional measures are needed to improve the use of long acting and permanent contraceptive methods.

The energy demand in the British and German industrial sectors. Heterogeneity and common factors

International Nuclear Information System (INIS)

Agnolucci, Paolo

2009-01-01

This paper estimates energy demands for the German and British industrial sectors over the 1978-2004 and the 1991-2004 samples. From time series models we can conclude that there is a considerable variation in the value of the coefficients across sectors, even though energy demands with sensible parameters can rarely be estimated. When using a panel approach, the ability of some estimators to allow for diversity across subsectors was an important factor in explaining the estimates for price elasticity. On the other hand, correlation across panel members or common factors did not markedly influence our results. With regard to the estimated parameters, our preferred choice for elasticity of economic activity and price in the longer sample is 0.52 and - 0.64. Similar values are found in the case of the shorter samples. Bearing in mind the high price elasticity, energy taxes can be considered an effective strategy for reducing energy consumption. (author)

Job demands and job strain as risk factors for employee wellbeing in elderly care: an instrumental-variables analysis.

Science.gov (United States)

Elovainio, Marko; Heponiemi, Tarja; Kuusio, Hannamaria; Jokela, Markus; Aalto, Anna-Mari; Pekkarinen, Laura; Noro, Anja; Finne-Soveri, Harriet; Kivimäki, Mika; Sinervo, Timo

2015-02-01

The association between psychosocial work environment and employee wellbeing has repeatedly been shown. However, as environmental evaluations have typically been self-reported, the observed associations may be attributable to reporting bias. Applying instrumental-variable regression, we used staffing level (the ratio of staff to residents) as an unconfounded instrument for self-reported job demands and job strain to predict various indicators of wellbeing (perceived stress, psychological distress and sleeping problems) among 1525 registered nurses, practical nurses and nursing assistants working in elderly care wards. In ordinary regression, higher self-reported job demands and job strain were associated with increased risk of perceived stress, psychological distress and sleeping problems. The effect estimates for the associations of these psychosocial factors with perceived stress and psychological distress were greater, but less precisely estimated, in an instrumental-variables analysis which took into account only the variation in self-reported job demands and job strain that was explained by staffing level. No association between psychosocial factors and sleeping problems was observed with the instrumental-variable analysis. These results support a causal interpretation of high self-reported job demands and job strain being risk factors for employee wellbeing. © The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Innovation and Demand

DEFF Research Database (Denmark)

Andersen, Esben Sloth

2007-01-01

the demand-side of markets in the simplest possible way. This strategy has allowed a gradual increase in the sophistication of supply-side aspects of economic evolution, but the one-sided focus on supply is facing diminishing returns. Therefore, demand-side aspects of economic evolution have in recent years...... received increased attention. The present paper argues that the new emphasis on demand-side factors is quite crucial for a deepened understanding of economic evolution. The major reasons are the following: First, demand represents the core force of selection that gives direction to the evolutionary process....... Second, firms' innovative activities relate, directly or indirectly, to the structure of expected and actual demand. Third, the demand side represents the most obvious way of turning to the much-needed analysis of macro-evolutionary change of the economic system....

Factors influencing the demand of the service of community based animal health care in Zimbabwe.

Science.gov (United States)

Mutambara, J; Dube, I; Matangi, E; Majeke, F

2013-11-01

This study was done to find out about animal health service providers and factors that determined demand for community based veterinary service delivery in smallholder sector of Zimbabwe. Focus group discussions and a questionnaire was used to collect data on veterinary services providers and socio-economic factors related to animal health from a sample (N=333) smallholder livestock farmers from Gutu district of Masvingo province in Zimbabwe. Analytical techniques used were descriptive statistics, K-mean cluster analysis and Tobit regression model. Results showed that the majority of farmers (45%) obtained services from both Community Based Animal Health Workers (CBAHWs) and Department of Veterinary Service (DVS), 25% DVS only, 20% used CBAHWs while 10% did not seek any services. Further analysis showed that distance to CBAHW, distance to AHMC and employment status were significantly related to demand for CBAHWs with coefficients of -1.5, 0.7 and -10.3, respectively. The study thus concluded that CBAHW is an alternative animal health service delivery approach already practiced in smallholder farming sectors of Zimbabwe. Socio-economic factors significantly influenced the demand for CBAHW services. Given limited resources by state sponsored veterinary services, it is recommended that the CBAHWs approach should be encouraged as supplementary service provider especially in areas further DVS. These community organizations can be empowered by the state to deliver more improved services based on hygiene and modern science at a relatively low cost to farmers. Copyright © 2013 Elsevier B.V. All rights reserved.

Electricity demand forecasting techniques

International Nuclear Information System (INIS)

Gnanalingam, K.

1994-01-01

Electricity demand forecasting plays an important role in power generation. The two areas of data that have to be forecasted in a power system are peak demand which determines the capacity (MW) of the plant required and annual energy demand (GWH). Methods used in electricity demand forecasting include time trend analysis and econometric methods. In forecasting, identification of manpower demand, identification of key planning factors, decision on planning horizon, differentiation between prediction and projection (i.e. development of different scenarios) and choosing from different forecasting techniques are important

High quantitative job demands and low coworker support as risk factors for neck pain: Results of a prospective cohort study

NARCIS (Netherlands)

Ariëns, G.A.M.; Bongers, P.M.; Hoogendoorn, W.E.; Houtman, I.L.D.; Wal, G. van der; Mechelen, W. van

2001-01-01

Study Design. A 3-year prospective cohort study among 1334 workers was conducted. Objective. To determine whether the work-related psychosocial factors of quantitative job demands, conflicting job demands, skill discretion, decision authority, supervisor support, coworker support, and job security

Factors Affecting Individual Education Demand at the Entrance to University: Adnan Menderes University Sample

Science.gov (United States)

Sarpkaya, Ruhi

2010-01-01

The aim of this research is to determine the factors affecting individual education demands at the entrance to university. The research is in survey model. The universe of the study consists of 1630 freshmen at the faculties and vocational schools of Adnan Menderes University, Aydin. 574 students from 7 schools were included in the sample. The…

The importance of genetic and shared environmental factors for the associations between job demands, control, support and burnout.

Directory of Open Access Journals (Sweden)

Victoria Blom

Full Text Available Within occupational health research, one of the most influential models is the Job Demands-Control-Support model. Numerous studies have applied the model to different domains, with both physical and psychological health outcomes, such as burnout. The twin design provides a unique and powerful research methodology for examining the effects of environmental risk factors on burnout while taking familial factors (genetic and shared environment into account. The aim of the present study was to investigate the impact of familial factors on the associations of burnout with job demands, control and support. A total of 14,516 individuals from the Swedish Twin Registry, who were born between 1959 and 1986, and who participated in the Study of Twin Adults: Genes and Environment (STAGE by responding to a web-based questionnaire in 2005, were included in the analyses. Of these, there were 5108 individuals in complete same-sex twin pairs. Co-twin control analyses were performed using linear mixed modeling, comparing between-pairs effects and within-pair effects, stratified also by zygosity and sex. The results indicate that familial factors are of importance in the association between support and burnout in both women and men, but not between job demands and burnout. There are also tendencies towards familial factors being involved in the association between control and burnout in men. These results offer increased understanding of the mechanisms involved in the associations between work stress and burnout.

ANALISIS PERMINTAAN (DEMAND ANALYSIS PELAYANAN KESEHATAN PUSKESMAS DI KABUPATEN MOJOKERTO

Directory of Open Access Journals (Sweden)

Wasis Budiarto

2012-09-01

Full Text Available A study on demand for health centre was carried out at Mojokerto Regency, East Java. The study convered 300 respondents (15 years old and over which were collected from two areas, urban (Kecamatan Bangsal and rural (Kecamatan Puri. The objectives of this study were to measure the demand for health centre services and to determine the influencing factors. A household survey was conducted in this study, using household and individual as unit of analysis and a multiple linier regression technique was used as analysis. In general, the result showed that needs were the most important factor affecting demand. In the urban health centres positive factor affecting individual demand were distance, family size and need, however in the rural health centre were cost, time and need were factors affecting demand. Factors affecting family demand for health services is different from individual demand. In urban and rural areas, family demand for health center was substitute alternative of the demand for the phycisian services.

Predicted coal production trends in Kentucky: The results of available coal resources, coal quality demands, and regulatory factors

International Nuclear Information System (INIS)

Watson, W.D.

1993-01-01

Many factors affect the viability of regional coal production markets including (1) coal quality and recoverable tonnage, (2) coal mining cost, (3) the regional and time varying patterns of coal demand growth, (4) regulations and other institutional constraints that affect coal demand and utilization, and (5) the regional array of coal transport modes and rates. This analysis integrates these factors into an assessment of coal production prospects (separately) for eastern and western Kentucky coal producing counties for the decade of the 90's. The integration indicates that eastern Kentucky coal production will peak and begin to decline by the end of the decade whereas western Kentucky coal production will continue to grow. No single factor explains these trends. There is plenty of available minable coal. The combination of changes in environmental regulations, some increase in coal mining costs, and the mining-out of low sulfur reserves are the main factors that account for the production trends

Early postnatal hyperglycaemia is a risk factor for treatment-demanding retinopathy of prematurity.

Science.gov (United States)

Slidsborg, Carina; Jensen, Louise Bering; Rasmussen, Steen Christian; Fledelius, Hans Callø; Greisen, Gorm; Cour, Morten de la

2018-01-01

To investigate whether neonatal hyperglycaemia in the first postnatal week is associated with treatment-demanding retinopathy of prematurity (ROP). This is a Danish national, retrospective, case-control study of premature infants (birth period 2003-2006). Three national registers were searched, and data were linked through a unique civil registration number. The study sample consisted of 106 cases each matched with two comparison infants. Matching criteria were gestational age (GA) at birth, ROP not registered and born at the same neonatal intensive care unit. Potential 'new' risk factors were analysed in a multivariate logistic regression model, while adjusted for previously recognised risk factors (ie, GA at birth, small for gestational age, multiple birth and male sex). Hospital records of 310 preterm infants (106 treated; 204 comparison infants) were available. Nutrition in terms of energy (kcal/kg/week) and protein (g/kg/week) given to the preterm infants during the first postnatal week were statistically insignificant between the study groups (Mann-Whitney U test; p=0.165/p=0.163). Early postnatal weight gain between the two study groups was borderline significant (t-test; p=0.047). Hyperglycaemic events (indexed value) were statistically significantly different between the two study groups (Mann-Whitney U test; p<0.001). Hyperglycaemia was a statistically independent risk factor (OR: 1.022; 95% CI 1.002 to 1.042; p=0.031). An independent association was found between the occurrence of hyperglycaemic events during the first postnatal week and later development of treatment-demanding ROP, when adjusted for known risk factors. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Estimation of energy storage capacity in power system in japan under future demand and supply factors

International Nuclear Information System (INIS)

Kurihara, Ikuo; Tanaka, Toshikatsu

1996-01-01

The desirable capacity of future energy storage facility in power system in Japan is discussed in this paper, putting emphasis on future new electric demand/supply factors such as CO 2 emission problems and social structure change. The two fundamental demand scenarios are considered; one is base case scenario which extrapolates the trend until now and the other is social structure change scenario. The desirable capacity of the energy storage facility is obtained from the result of optimum generation mix which minimizes the yearly expenses of the target year (2030 and 2050). The result shows that the optimum capacity of energy storage facility is about 10 to 15%. The social structure change and demand side energy storage have great influences on the optimum capacity of supply side storage. The former increases storage capacity. The latter reduces it and also contributes to the reduction of generation cost. Suppression of CO 2 emission basically affects to reduce the storage capacity. The load following operation of nuclear plant also reduces the optimum storage capacity in the case it produces surplus energy at night. Though there exist many factors which increase or decrease the capacity of energy storage facility, as a whole, it is concluded that the development of new energy storage technology is necessary for future. (author)

The relationship investigation between factors affecting demand for broadband and the level of satisfaction among broadband customers in the South East Coast of Sabah, Malaysia

Science.gov (United States)

Hashim, S. H. A.; Hamid, F. A.; Kiram, J. J.; Sulaiman, J.

2017-09-01

This paper aims to investigate the relationship between factors that affecting the demand for broadband and the level of satisfaction. Previous researchers have found that the adoption of broadband is greatly influenced by many factors. Thus, in this study, a self-administered questionnaire was developed to obtain the factors affecting demand for broadband among broadband customers as well as their level of satisfaction. Pearson correlation, one-way analysis of variance (ANOVA) and t-test were used for statistical interpretation of the relationship. This study shows that there are better relationships between several factors over demand for broadband and satisfaction level.

Modelling the Effects of Teacher Demand Factors on Teacher Understaffing in Public Secondary Schools in Kenya

Science.gov (United States)

Wamukuru, David Kuria

2016-01-01

The secondary school teacher labour market faces many challenges including, escalating teacher wage bill, teacher shortages that occur alongside teacher surpluses, inadequate teacher distribution and inefficient teacher utilization. There is the need therefore to understand the effects of the factors determining demand for secondary school…

BALANCE OF SUPPLY AND DEMAND OF THE CEREAL AND INFLUENCING FACTORS IN CHINA: FROM THE PERSPECTIVE OF THE COST

Directory of Open Access Journals (Sweden)

Bingqiang Li

2017-09-01

Full Text Available The balanced supply and demand of the cereal is essential for achieving economic sustainable development in China. The wheat and products, the rice (including the milled equivalent, and the maize and products are three main cereals in China, the three cereals but the rice (including the milled equivalent in China were enerally seriously comparatively insufficient before 1997, and then became fully sufficient. The co-integrative test demonstrated that there existed long-term equilibrium between balance of supply and demand and influencing factors, and the correcting coefficient was about 2.2 percent. As for balance degree of supply and demand, increase of machinery cost, daily-average labor price and indirect cost would improve it, increase of fertilizer expenditure and labor-input quantity would deteriorate it at short-term. The Granger causality test implied that balance of supply and demand owned interactive effect with laborer-input quantity, but not with the other cost. The highlight of this article was evaluating hypothesis of “Who will feed China” and influencing factors from perspective of the cost, achieving that the above hypothesis was not a real problem in China.

Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model

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Jinchao Li

2018-01-01

Full Text Available Electric grid investment demand analysis is significant to reasonably arranging construction funds for the electric grid and reduce costs. This paper used the panel data of electric grid investment from 23 provinces of China between 2004 and 2016 as samples to analyze the influence between electric grid investment demand and GDP, population scale, social electricity consumption, installed electrical capacity, and peak load based on co-integration tests. We find that GDP and peak load have positive influences on electric grid investment demand, but the impact of population scale, social electricity consumption, and installed electrical capacity on electric grid investment is not remarkable. We divide different regions in China into the eastern region, central region, and western region to analyze influence factors of electric grid investment, finally obtaining key factors in the eastern, central, and western regions. In the end, according to the analysis of key factors, we make a prediction about China’s electric grid investment for 2020 in different scenarios. The results offer a certain understanding for the development trend of China’s electric grid investment and contribute to the future development of electric grid investment.

Demand and supply factors affecting the rising overmedicalization of birth in India.

Science.gov (United States)

Leone, Tiziana

2014-11-01

To understand the interaction between health systems and individual factors in determining the probability of a cesarean delivery in India. In a retrospective study, data from the 2007-2008 District Level Household and Facility Survey was used to determine the risk of cesarean delivery in six states (Punjab, Delhi, Maharashtra, Andhra Pradesh, Kerala, and Tamil Nadu). Multilevel modeling was used to account for district and community effects. After controlling for key risk factors, the analysis showed that cesareans were more likely at private than public institutions (Pdemand, higher education levels rather than wealth seemed to increase the likelihood of a cesarean delivery. District-level effects were significant in almost all states (Pfactors. Supply factors might contribute more to the rise in cesarean delivery than does demand. Further research is needed to understand whether the quest for increased institutional deliveries in a country with high maternal mortality might be compromised by pressures for overmedicalization. Copyright © 2014 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.

Uranium supply and demand

International Nuclear Information System (INIS)

1984-05-01

This report covers the period 1983 to 1995. It draws together the industry's latest views on future trends in supply and demand, and sets them in their historical context. It devotes less discussion than its predecessors to the technical influences underpinning the Institute's supply and demand forecasts, and more to the factors which influence the market behaviour of the industry's various participants. As the last decade has clearly shown, these latter influences can easily be overlooked when undue attention is given to physical imbalances between supply and demand. (author)

The determining factors of natural gas demand in domestic sector

International Nuclear Information System (INIS)

Cadoret, I.

1992-01-01

Natural gas plays an important role in domestic sector. For example, in France, Italy, Germany and United-Kingdom the natural gas share in energy demand of domestic sector is respectively 26%, 44%, 34% and 63%. A study of energy policies, natural gas industry structure and tarification system of this four countries indicates that gas development is linked to the government and petroleum companies policy. Econometric models estimation show by another way that when natural gas is introduced in domestic sector, the demand follows the distribution network. When the market is saturated, the demand changes with energy price and household income. 8 refs., 2 tabs., 5 figs

Social support and its interrelationships with demand-control model factors on presenteeism and absenteeism in Japanese civil servants.

Science.gov (United States)

Saijo, Yasuaki; Yoshioka, Eiji; Nakagi, Yoshihiko; Kawanishi, Yasuyuki; Hanley, Sharon J B; Yoshida, Takahiko

2017-08-01

To elucidate the impact of social support and its interrelations with other demand-control-support (DCS) model factors on presenteeism and absenteeism, and to determine which DCS factors were most influential. Questionnaires from 2535 local government employees were analyzed. The Brief Job Stress Questionnaire (BJSQ) was used to assess DCS factors including job demand, job control, and social support from supervisors and coworkers. The Stanford Presenteeism Scale 13-item version (SPS-13) was used to evaluate both absenteeism (absent days) and presenteeism. For the latter, the Work Impairment Score (WIS) and the Work Output Score (WOS) were also used. Possible confounder-adjusted logistic and negative binomial regression analyses were performed to obtain odds ratios (ORs) for WIS and WOS and relative risks (RRs) for absenteeism according to DCS factors. Higher job control had a significantly protective effect on higher WIS in both males and females and a lower WOS in males. Based on a point estimate of an OR per 1 standard deviation change of each DCS factor, job control had the strongest effect on higher WIS in both males and females and a lower WOS in males. Higher job demand resulted in significantly higher ORs for both male and female WIS, and a lower WOS in females. Support from supervisors had a significantly protective effect on higher WIS in females and a lower WOS in males. Support from coworkers had a significantly protective effect on higher WIS in males. Higher support from coworkers had a significantly protective effect on absenteeism among both males and females, and higher job control had a significantly protective effect in females. The combination of high job strain and low support from supervisors had a significantly worsening effect, except for absenteeism in females. High job strain and low support from coworkers had a significantly worsening effect except for WOS in males. The results suggest job control was the DCS factor most related to

Endogenous Money Supply and Money Demand

OpenAIRE

Woon Gyu Choi; Seonghwan Oh

2000-01-01

This paper explores the behavior of money demand by explicitly accounting for the money supply endogeneity arising from endogenous monetary policy and financial innovations. Our theoretical analysis indicates that money supply factors matter in the money demand function when the money supply partially responds to money demand. Our empirical results with U.S. data provide strong evidence for the relevance of the policy stance to the demand for MI under a regime in which monetary policy is subs...

Work related musculoskeletal disorders amongst therapists in physically demanding roles: qualitative analysis of risk factors and strategies for prevention.

Science.gov (United States)

Passier, Leanne; McPhail, Steven

2011-01-25

Physiotherapy and occupational therapy are two professions at high risk of work related musculoskeletal disorders (WRMD). This investigation aimed to identify risk factors for WRMD as perceived by the health professionals working in these roles (Aim 1), as well as current and future strategies they perceive will allow them to continue to work in physically demanding clinical roles (Aim 2). A two phase exploratory investigation was undertaken. The first phase included a survey administered via a web based platform with qualitative open response items. The second phase involved four focus group sessions which explored topics obtained from the survey. Thematic analysis of qualitative data from the survey and focus groups was undertaken. Overall 112 (34.3%) of invited health professionals completed the survey; 66 (58.9%) were physiotherapists and 46 (41.1%) were occupational therapists. Twenty-four health professionals participated in one of four focus groups. The risk factors most frequently perceived by health professionals included: work postures and movements, lifting or carrying, patient related factors and repetitive tasks. The six primary themes for strategies to allow therapists to continue to work in physically demanding clinical roles included: organisational strategies, workload or work allocation, work practices, work environment and equipment, physical condition and capacity, and education and training. Risk factors as well as current and potential strategies for reducing WRMD amongst these health professionals working in clinically demanding roles have been identified and discussed. Further investigation regarding the relative effectiveness of these strategies is warranted.

On-demand microbicide products: design matters.

Science.gov (United States)

Patel, Sravan Kumar; Rohan, Lisa Cencia

2017-12-01

Sexual intercourse (vaginal and anal) is the predominant mode of human immunodeficiency virus (HIV) transmission. Topical microbicides used in an on-demand format (i.e., immediately before or after sex) can be part of an effective tool kit utilized to prevent sexual transmission of HIV. The effectiveness of prevention products is positively correlated with adherence, which is likely to depend on user acceptability of the product. The development of an efficacious and acceptable product is therefore paramount for the success of an on-demand product. Acceptability of on-demand products (e.g., gels, films, and tablets) and their attributes is influenced by a multitude of user-specific factors that span behavioral, lifestyle, socio-economic, and cultural aspects. In addition, physicochemical properties of the drug, anatomical and physiological aspects of anorectal and vaginal compartments, issues relating to large-scale production, and cost can impact product development. These factors together with user preferences determine the design space of an effective, acceptable, and feasible on-demand product. In this review, we summarize the interacting factors that together determine product choice and its target product profile.

Oil prices: demand and supply. Lesson plan

OpenAIRE

anonymous

2005-01-01

Upon completion of this lesson, students will be able to list the determinants of demand and supply, recognize which factors will cause demand curves or supply curves to shift, determine equilibrium using a demand/supply graph, and show the effects on price and quantity when equilibrium changes.

Future Protein Supply and Demand: Strategies and Factors Influencing a Sustainable Equilibrium

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Maeve Henchion

2017-07-01

Full Text Available A growing global population, combined with factors such as changing socio-demographics, will place increased pressure on the world’s resources to provide not only more but also different types of food. Increased demand for animal-based protein in particular is expected to have a negative environmental impact, generating greenhouse gas emissions, requiring more water and more land. Addressing this “perfect storm” will necessitate more sustainable production of existing sources of protein as well as alternative sources for direct human consumption. This paper outlines some potential demand scenarios and provides an overview of selected existing and novel protein sources in terms of their potential to sustainably deliver protein for the future, considering drivers and challenges relating to nutritional, environmental, and technological and market/consumer domains. It concludes that different factors influence the potential of existing and novel sources. Existing protein sources are primarily hindered by their negative environmental impacts with some concerns around health. However, they offer social and economic benefits, and have a high level of consumer acceptance. Furthermore, recent research emphasizes the role of livestock as part of the solution to greenhouse gas emissions, and indicates that animal-based protein has an important role as part of a sustainable diet and as a contributor to food security. Novel proteins require the development of new value chains, and attention to issues such as production costs, food safety, scalability and consumer acceptance. Furthermore, positive environmental impacts cannot be assumed with novel protein sources and care must be taken to ensure that comparisons between novel and existing protein sources are valid. Greater alignment of political forces, and the involvement of wider stakeholders in a governance role, as well as development/commercialization role, is required to address both sources of

Future Protein Supply and Demand: Strategies and Factors Influencing a Sustainable Equilibrium

Science.gov (United States)

Henchion, Maeve; Hayes, Maria; Mullen, Anne Maria; Fenelon, Mark; Tiwari, Brijesh

2017-01-01

A growing global population, combined with factors such as changing socio-demographics, will place increased pressure on the world’s resources to provide not only more but also different types of food. Increased demand for animal-based protein in particular is expected to have a negative environmental impact, generating greenhouse gas emissions, requiring more water and more land. Addressing this “perfect storm” will necessitate more sustainable production of existing sources of protein as well as alternative sources for direct human consumption. This paper outlines some potential demand scenarios and provides an overview of selected existing and novel protein sources in terms of their potential to sustainably deliver protein for the future, considering drivers and challenges relating to nutritional, environmental, and technological and market/consumer domains. It concludes that different factors influence the potential of existing and novel sources. Existing protein sources are primarily hindered by their negative environmental impacts with some concerns around health. However, they offer social and economic benefits, and have a high level of consumer acceptance. Furthermore, recent research emphasizes the role of livestock as part of the solution to greenhouse gas emissions, and indicates that animal-based protein has an important role as part of a sustainable diet and as a contributor to food security. Novel proteins require the development of new value chains, and attention to issues such as production costs, food safety, scalability and consumer acceptance. Furthermore, positive environmental impacts cannot be assumed with novel protein sources and care must be taken to ensure that comparisons between novel and existing protein sources are valid. Greater alignment of political forces, and the involvement of wider stakeholders in a governance role, as well as development/commercialization role, is required to address both sources of protein and ensure

Energy demand in Portuguese manufacturing: a two-stage model

International Nuclear Information System (INIS)

Borges, A.M.; Pereira, A.M.

1992-01-01

We use a two-stage model of factor demand to estimate the parameters determining energy demand in Portuguese manufacturing. In the first stage, a capital-labor-energy-materials framework is used to analyze the substitutability between energy as a whole and other factors of production. In the second stage, total energy demand is decomposed into oil, coal and electricity demands. The two stages are fully integrated since the energy composite used in the first stage and its price are obtained from the second stage energy sub-model. The estimates obtained indicate that energy demand in manufacturing responds significantly to price changes. In addition, estimation results suggest that there are important substitution possibilities among energy forms and between energy and other factors of production. The role of price changes in energy-demand forecasting, as well as in energy policy in general, is clearly established. (author)

Modeling factors influencing the demand for emergency department services in ontario: a comparison of methods

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Meaney Christopher

2011-08-01

Full Text Available Abstract Background Emergency departments are medical treatment facilities, designed to provide episodic care to patients suffering from acute injuries and illnesses as well as patients who are experiencing sporadic flare-ups of underlying chronic medical conditions which require immediate attention. Supply and demand for emergency department services varies across geographic regions and time. Some persons do not rely on the service at all whereas; others use the service on repeated occasions. Issues regarding increased wait times for services and crowding illustrate the need to investigate which factors are associated with increased frequency of emergency department utilization. The evidence from this study can help inform policy makers on the appropriate mix of supply and demand targeted health care policies necessary to ensure that patients receive appropriate health care delivery in an efficient and cost-effective manner. The purpose of this report is to assess those factors resulting in increased demand for emergency department services in Ontario. We assess how utilization rates vary according to the severity of patient presentation in the emergency department. We are specifically interested in the impact that access to primary care physicians has on the demand for emergency department services. Additionally, we wish to investigate these trends using a series of novel regression models for count outcomes which have yet to be employed in the domain of emergency medical research. Methods Data regarding the frequency of emergency department visits for the respondents of Canadian Community Health Survey (CCHS during our study interval (2003-2005 are obtained from the National Ambulatory Care Reporting System (NACRS. Patients' emergency department utilizations were linked with information from the Canadian Community Health Survey (CCHS which provides individual level medical, socio-demographic, psychological and behavioral information for

Modeling factors influencing the demand for emergency department services in Ontario: a comparison of methods.

Science.gov (United States)

Moineddin, Rahim; Meaney, Christopher; Agha, Mohammad; Zagorski, Brandon; Glazier, Richard Henry

2011-08-19

Emergency departments are medical treatment facilities, designed to provide episodic care to patients suffering from acute injuries and illnesses as well as patients who are experiencing sporadic flare-ups of underlying chronic medical conditions which require immediate attention. Supply and demand for emergency department services varies across geographic regions and time. Some persons do not rely on the service at all whereas; others use the service on repeated occasions. Issues regarding increased wait times for services and crowding illustrate the need to investigate which factors are associated with increased frequency of emergency department utilization. The evidence from this study can help inform policy makers on the appropriate mix of supply and demand targeted health care policies necessary to ensure that patients receive appropriate health care delivery in an efficient and cost-effective manner. The purpose of this report is to assess those factors resulting in increased demand for emergency department services in Ontario. We assess how utilization rates vary according to the severity of patient presentation in the emergency department. We are specifically interested in the impact that access to primary care physicians has on the demand for emergency department services. Additionally, we wish to investigate these trends using a series of novel regression models for count outcomes which have yet to be employed in the domain of emergency medical research. Data regarding the frequency of emergency department visits for the respondents of Canadian Community Health Survey (CCHS) during our study interval (2003-2005) are obtained from the National Ambulatory Care Reporting System (NACRS). Patients' emergency department utilizations were linked with information from the Canadian Community Health Survey (CCHS) which provides individual level medical, socio-demographic, psychological and behavioral information for investigating predictors of increased emergency

Pricing of common cosmetic surgery procedures: local economic factors trump supply and demand.

Science.gov (United States)

Richardson, Clare; Mattison, Gennaya; Workman, Adrienne; Gupta, Subhas

2015-02-01

The pricing of cosmetic surgery procedures has long been thought to coincide with laws of basic economics, including the model of supply and demand. However, the highly variable prices of these procedures indicate that additional economic contributors are probable. The authors sought to reassess the fit of cosmetic surgery costs to the model of supply and demand and to determine the driving forces behind the pricing of cosmetic surgery procedures. Ten plastic surgery practices were randomly selected from each of 15 US cities of various population sizes. Average prices of breast augmentation, mastopexy, abdominoplasty, blepharoplasty, and rhytidectomy in each city were compared with economic and demographic statistics. The average price of cosmetic surgery procedures correlated substantially with population size (r = 0.767), cost-of-living index (r = 0.784), cost to own real estate (r = 0.714), and cost to rent real estate (r = 0.695) across the 15 US cities. Cosmetic surgery pricing also was found to correlate (albeit weakly) with household income (r = 0.436) and per capita income (r = 0.576). Virtually no correlations existed between pricing and the density of plastic surgeons (r = 0.185) or the average age of residents (r = 0.076). Results of this study demonstrate a correlation between costs of cosmetic surgery procedures and local economic factors. Cosmetic surgery pricing cannot be completely explained by the supply-and-demand model because no association was found between procedure cost and the density of plastic surgeons. © 2015 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission: journals.permissions@oup.com.

Supply- and Demand-Side Factors Influencing Utilization of Infant and Young Child Feeding Counselling Services in Viet Nam.

Science.gov (United States)

Nguyen, Phuong H; Kim, Sunny S; Nguyen, Tuan T; Tran, Lan M; Hajeebhoy, Nemat; Frongillo, Edward A; Ruel, Marie T; Rawat, Rahul; Menon, Purnima

2016-01-01

Adequate utilization of services is critical to maximize the impact of counselling on infant and young child feeding (IYCF), but little is known about factors affecting utilization. Our study examined supply- and demand-side factors associated with the utilization of IYCF counselling services in Viet Nam. We used survey data from mothers with children Viet Nam, and may be relevant for increasing and sustaining use of nutrition services in similar contexts.

Cognitive task demands, self-control demands and the mental well-being of office workers.

Science.gov (United States)

Bridger, Robert S; Brasher, Kate

2011-09-01

The cognitive task demands of office workers and the self-control demands of their work roles were measured in a sample of 196 employees in two different office layouts using a self-report questionnaire, which was circulated electronically. Multiple linear regression analysis revealed that both factors were associated with mental well-being, but not with physical well-being, while controlling for exposure to psychosocial stressors. The interaction between cognitive task demands and self-control demands had the strongest association with mental well-being, suggesting that the deleterious effect of one was greater when the other was present. An exploratory analysis revealed that the association was stronger for employees working in a large open-plan office than for those working in smaller offices with more privacy. Frustration of work goals was the cognitive task demand having the strongest negative impact on mental well-being. Methodological limitations and scale psychometrics (particularly the use of the NASA Task Load Index) are discussed. STATEMENT OF RELEVANCE: Modern office work has high mental demands and low physical demands and there is a need to design offices to prevent adverse psychological reactions. It is shown that cognitive task demands interact with self-control demands to degrade mental well-being. The association was stronger in an open-plan office.

Exploring energy consumption and demand in China

International Nuclear Information System (INIS)

Fan, Ying; Xia, Yan

2012-01-01

China has been experiencing industrialization and urbanization since reform and opening of its economy in 1978. Energy consumption in the country has featured issues such as a coal-dominated energy mix, low energy efficiency and high emissions. Thus, it is of great importance to explore the factors driving the increase in energy consumption in the past two decades and estimate the potential for decreasing energy demands in the future. In this paper a hybrid energy input–output model is used to decompose driving factors to identify how these factors impact changes in energy intensity. A modified RAS approach is applied to project energy requirements in a BAU scenario and an alternative scenario. The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. Energy demand in China will continue to increase at a rapid rate if the economy develops as in the past decades, and is projected to reach 4.7 billion tce in 2020. However, the huge potential for a decrease cannot be neglected, since growth could be better by adjusting the energy mix and industrial structure and enhancing technology improvements. The total energy demand could be less than 4.0 billion tce in 2020. -- Highlights: ► In this paper a hybrid energy input–output model is used to decompose driving factors to China’s energy intensity change. ► A modified RAS approach is applied to project energy requirements in China. ► The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. ► Energy demand in China will reach 4.7 billion ton in 2020 if the economy develops as in the past decades. ► There is a huge potential for a decrease of energy demand by adjusting the energy mix and industrial structure and enhancing technology improvements.

A Cross-National Analysis of the Student- and School-Level Factors Affecting the Demand for Private Tutoring

Science.gov (United States)

Song, Kyoung-Oh; Park, Hyun-Jeong; Sang, Kyong-Ah

2013-01-01

Private tutoring has become a worldwide phenomenon, yet there is little empirical evidence for the main factors leading the demand for private tutoring across nations. Using data from the Third International Mathematics and Science Study of 2003, this study classified the countries into four different groups according to the proportion of student…

Decomposing energy demand across BRIIC countries

International Nuclear Information System (INIS)

Adetutu, Morakinyo O.; Glass, Anthony J.; Weyman-Jones, Thomas G.

2016-01-01

Energy plays an important role within the production technology of fast emerging economies, such that firms' reaction to changes in energy prices provides useful information on factor productivity and factor intensity, as well as the likely outcome of energy policy initiatives, among other things. Drawing on duality theory, this paper decomposes changes in energy demand into substitution and output effects using annual sector-level production data for Brazil, Russia, India, Indonesia and China (BRIIC) for the period 1995–2009. Unlike previous studies, this study analyzed the economic properties of the underlying production technology. Results indicate that changes in energy demand are strongly dominated by substitution effects. More importantly, an intriguing finding that emerges from our analysis is the role of economies of scale and factor accumulation, as opposed to technical progress, in giving rise to the growth performance of sampled economies. - Highlights: • The analysis examines the structure and channels of changes in energy demand across productive sectors in BRIIC countries during 1995–2009. • We evaluate substitution and output effects as well as the nature of firm productivity across these countries. • Changes in energy demand arising from changes in (relative) price of energy is strongly dominated by substitution effects. • The main drivers of economic performance and energy use over the sample period are economies of scale and factor accumulation.

Energy demand: Facts and trends

Energy Technology Data Exchange (ETDEWEB)

Chateau, B; Lapillonne, B

1982-01-01

The relationship between economic development and energy demand is investigated in this book. It gives a detailed analysis of the energy demand dynamics in industrialized countries and compares the past evolution of the driving factors behind energy demand by sector and by end-uses for the main OECD countries: residential sector (space heating, water heating, cooking...), tertiary sector, passenger and goods transport by mode, and industry (with particular emphasis on the steel and cement industry). This analysis leads to a more precise understanding of the long-term trends of energy demand; highlighting the influence on these trends of energy prices, especially after the oil price shocks, and of the type of economic development pattern.

Factor structure and longitudinal measurement invariance of the demand control support model: an evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH).

Science.gov (United States)

Chungkham, Holendro Singh; Ingre, Michael; Karasek, Robert; Westerlund, Hugo; Theorell, Töres

2013-01-01

To examine the factor structure and to evaluate the longitudinal measurement invariance of the demand-control-support questionnaire (DCSQ), using the Swedish Longitudinal Occupational Survey of Health (SLOSH). A confirmatory factor analysis (CFA) and multi-group confirmatory factor analysis (MGCFA) models within the framework of structural equation modeling (SEM) have been used to examine the factor structure and invariance across time. Four factors: psychological demand, skill discretion, decision authority and social support, were confirmed by CFA at baseline, with the best fit obtained by removing the item repetitive work of skill discretion. A measurement error correlation (0.42) between work fast and work intensively for psychological demands was also detected. Acceptable composite reliability measures were obtained except for skill discretion (0.68). The invariance of the same factor structure was established, but caution in comparing mean levels of factors over time is warranted as lack of intercept invariance was evident. However, partial intercept invariance was established for work intensively. Our findings indicate that skill discretion and decision authority represent two distinct constructs in the retained model. However removing the item repetitive work along with either work fast or work intensively would improve model fit. Care should also be taken while making comparisons in the constructs across time. Further research should investigate invariance across occupations or socio-economic classes.

Factor structure and longitudinal measurement invariance of the demand control support model: an evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH.

Directory of Open Access Journals (Sweden)

Holendro Singh Chungkham

Full Text Available OBJECTIVES: To examine the factor structure and to evaluate the longitudinal measurement invariance of the demand-control-support questionnaire (DCSQ, using the Swedish Longitudinal Occupational Survey of Health (SLOSH. METHODS: A confirmatory factor analysis (CFA and multi-group confirmatory factor analysis (MGCFA models within the framework of structural equation modeling (SEM have been used to examine the factor structure and invariance across time. RESULTS: Four factors: psychological demand, skill discretion, decision authority and social support, were confirmed by CFA at baseline, with the best fit obtained by removing the item repetitive work of skill discretion. A measurement error correlation (0.42 between work fast and work intensively for psychological demands was also detected. Acceptable composite reliability measures were obtained except for skill discretion (0.68. The invariance of the same factor structure was established, but caution in comparing mean levels of factors over time is warranted as lack of intercept invariance was evident. However, partial intercept invariance was established for work intensively. CONCLUSION: Our findings indicate that skill discretion and decision authority represent two distinct constructs in the retained model. However removing the item repetitive work along with either work fast or work intensively would improve model fit. Care should also be taken while making comparisons in the constructs across time. Further research should investigate invariance across occupations or socio-economic classes.

Measuring Money Demand Function in Pakistan

OpenAIRE

Hassan, Shahid; Ali, Umbreen; Dawood, Mamoon

2016-01-01

This study investigates the factors such as interest rate, GDP per capita, exchange rate, fiscal deficit, urban and rural population to determine money demand function for Pakistan over the period from 1972-2013. We use ARDL Bound Testing approach in order to test long run relation between money demand and its factors whereas both long and short run coefficients will be found using similar approach. The results show that real interest rate exerts significant and negative effect upon money dem...

THE PRICE OF HIGHER EDUCATION AND INDIVIDUAL DEMAND

Directory of Open Access Journals (Sweden)

Filiz Golpek

2012-01-01

Full Text Available The rise in the living standards in most of the world, the rise in population and schooling rates have increased the demand for higher education. The attribution of semi public property becomes determinant to decide whom will provide the supply and the production in semi public properties is realized by means of a supply and demand mechanism. The supply of higher education is mostly secured in accordance with the public demand as well as the resources available.  In addition, the fact that higher education services have produced significant benefits has led to over demand. This situation relates to a simple economic rule that a commodity or service which costs almost nothing or little will increase until the mariginal benefit of its demand equals to 0 or almost 0. However, the educational supply and demand is difficult to identify in accordance to the supply and demand and balance of price as observed in the economic theory. The high profits that would be attracted in the future are significant factors influencing individual’s decisions for investment. The decision for investment depends on the possible return in the future, the cost of investment, and the current interest rates. Higher education with investment purposes is influenced by these three factors and higher education is demanded more and more by individuals on the expectation that they will gain high profits In theory, it is accepted that the basic factors identifying the demand for higher education are in harmony with empirical research results in several countries including Turkey.

The prospects for Russian gas demand and exports

International Nuclear Information System (INIS)

Stern, J.; Dobozi, I.; Maichel, G.; de Vries, R.

1995-01-01

Three contributions to the debate on the future of Russian internal gas demand and exports are presented. In the first, it is argued that Russia's domestic demand will continue to fall due to a combination of payment enforcement for large industrial enterprises and their closure arising from restructuring. Information on gas demand is difficult to interpret, but the most significant factor during 1993-94 was the non-payment of bills without supply disconnection. It is estimated that the falling internal demand will put Russia in the position by 2010 of being able roughly to double its exports to Europe compared with 1993. This could be at relatively low cost since the requirement for investment in production and transmission facilities will not be large. The second author examines economic factors that will decided the size of the Russian ''gas bubble''. Uncertainties in domestic demand open up a wide range of scenarios. The predictions of the first author are regarded as an extreme ''low demand case''. Factors which could increase demand are an anticipated turnaround in the Russian economy in the mid 1990s and the likelihood of energy intensive industries, in which gas would have a competitive advantage, remaining as the backbone of the economy. The third contribution discusses natural gas supply and demand forecasts for Western Europe and concludes that the completion of the Gamal-Europe project, completing a second gas supply line from Russia to Europe, is essential. (U.K.)

Price elasticity of demand: An overlooked concept

International Nuclear Information System (INIS)

Anon.

1995-01-01

An all-too-common mistake in analyzing the uranium market is to assume that demand for uranium is driven only by the design and operational parameters of nuclear power plants. Because it is generally accepted that demand for uranium is inelastic, not much attention has been given to how prices can indirectly affect demand. The purpose of this paper is to highlight the factors that are most sensitive to uranium prices, and to show how they alter uranium demand

Demand Forecasting in the Smart Grid Paradigm: Features and Challenges

Energy Technology Data Exchange (ETDEWEB)

Khodayar, Mohammad E.; Wu, Hongyu

2015-07-01

Demand forecasting faces challenges that include a large volume of data, increasing number of factors that affect the demand profile, uncertainties in the generation profile of the distributed and renewable generation resources and lack of historical data. A hierarchical demand forecasting framework can incorporate the new technologies, customer behaviors and preferences, and environmental factors.

Capital-Energy Substitution and Shifts in Factor Demand. A Meta-Analysis

Energy Technology Data Exchange (ETDEWEB)

Koetse, M.J. [Department of Spatial Economics, Vrije Universiteit Amsterdam (Netherlands); De Groot, Henri L.F. [Tinbergen Institute, Amsterdam (Netherlands); Florax, R.J.G.M. [Department of Agricultural Economics, Purdue University, West Lafayette (United States)

2006-07-01

This paper presents results of a meta-regression analysis on empirical estimates of capital-energy substitution. Theoretically it is clear that a distinction should be made between Morishima substitution elasticities and cross-price elasticities. The former represent purely technical substitution possibilities while the latter include an income effect and therefore represent economic substitution potential. We estimate a meta-regression model with separate coefficients for the two elasticity samples. Our findings suggest that primary model assumptions on returns to scale, technological change and separability of input factors matter for the outcome of a primary study. Aggregation of variables and the type of data used in empirical research are also relevant sources of systematic effect-size variation. Taking these factors into consideration, we compute ideal-typical elasticities for the short, medium and long run. The resulting figures clearly show that substitution elasticities are substantially higher than cross price elasticities. Therefore, despite considerable technical opportunities for capital-energy substitution, they are almost entirely outweighed by the negative income effect brought about by energy price increases; the short and medium run cross price elasticities are not statistically different from zero. In the long run this pattern does not hold. Our findings therefore suggest that actual changes in the demand for capital due to energy price increases take time.

An economic approach to abortion demand.

Science.gov (United States)

Rothstein, D S

1992-01-01

"This paper uses econometric multiple regression techniques in order to analyze the socioeconomic factors affecting the demand for abortion for the year 1985. A cross-section of the 50 [U.S.] states and Washington D.C. is examined and a household choice theoretical framework is utilized. The results suggest that average price of abortion, disposable personal per capita income, percentage of single women, whether abortions are state funded, unemployment rate, divorce rate, and if the state is located in the far West, are statistically significant factors in the determination of the demand for abortion." excerpt

Factors influencing car users propensity to shift to other modes and their impacts on demand for airport parking facilities

Directory of Open Access Journals (Sweden)

Konstantinos Panou

2014-01-01

Full Text Available Purpose: The aim of this paper is to analyse the factors influencing car user behaviour and examine the possible impacts of public transit improvements on the demand for airport long-term parking facilities. The case of the Athens International Airport (AIA is considered for the analysis. Design/methodology/approach: The followed approach comprises three steps: First the related literature is reviewed (section 2 and the methodological approach is presented (section 3. Then data collection is carried out through a survey questionnaire comprising a Revealed Preferences (RP and a Stated Preference (SP part (section 4. The compiled data is processed using factor analysis (section 5. Finally, the results are assessed leading to the drawing of final conclusions (section 6. Findings: The results of the analysis enable: (a to determine different user groups with different demand elasticities and likelihoods to shift to public transport, and (b to conclude from the quantitative representation of the different user groups the real impact on the car parking demand. Research limitations: The analysis gives no consideration to the mix of measures that can possibly increase competitiveness of parking services such as real-time information about availability of parking space to users; online booking and discount rates for early birds, etc. Originality/value: The paper includes original work based on primary data from a field survey, similar of which has not been published for the AIA. The results are important for airport authorities to keep a balance between parking demand and supply by formulating the right marketing policies.

Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception

International Nuclear Information System (INIS)

Bartusch, Cajsa; Wallin, Fredrik; Odlare, Monica; Vassileva, Iana; Wester, Lars

2011-01-01

Increased demand response is essential to fully exploit the Swedish power system, which in turn is an absolute prerequisite for meeting political goals related to energy efficiency and climate change. Demand response programs are, nonetheless, still exceptional in the residential sector of the Swedish electricity market, one contributory factor being lack of knowledge about the extent of the potential gains. In light of these circumstances, this empirical study set out with the intention of estimating the scope of households' response to, and assessing customers' perception of, a demand-based time-of-use electricity distribution tariff. The results show that households as a whole have a fairly high opinion of the demand-based tariff and act on its intrinsic price signals by decreasing peak demand in peak periods and shifting electricity use from peak to off-peak periods. - Highlights: → Households are sympathetic to demand-based tariffs, seeing as they relate to environmental issues. → Households adjust their electricity use to the price signals of demand-based tariffs. → Demand-based tariffs lead to a shift in electricity use from peak to off-peak hours. → Demand-based tariffs lead to a decrease in maximum demand in peak periods. → Magnitude of these effects increases over time.

Views of Health System Experts on Macro Factors of Induced Demand

Directory of Open Access Journals (Sweden)

Elahe Khorasani

2014-01-01

Conclusions: Results of this research present a framework for analyzing the major causes of induced demand. The causes identified here include complexity of medicine, information mismatch between service providers and consumers, clinical uncertainty, false beliefs, advertisements, insufficient supervision, scarcity of clinical guidelines, weakness of education system, and ignorance of medical ethics. These findings help policymakers to investigate the induced demand phenomenon clear-sighted.

Effects of Economic Factors on Demand for Luxury Hotel Rooms in the U.S.

Directory of Open Access Journals (Sweden)

Xuan V. TRAN

2015-06-01

Full Text Available The purpose of this study is to estimate the effects of economic factors on the demand for luxury hotel rooms in the United States during the 16-year period (1998 - 2013. The average daily rate of six types of hotel rooms, gross domestic product and two recessions (2001 and 2007-2009 are considered as independent variables in the sample of the time series data set of 192 points to predict luxury room night stays of customers by ex-post data. Autoregressive Distributed Lag Model is employed to select the best model of luxury hotel demand on its determinants in the short and long run relationships. Findings indicate that in the long run, (1 the US residents would stay more nights in luxury hotels when their income increases; (2 the Canadian and UK might not visit or stay in the luxury hotels in the U.S. when their income or luxury hotel price increases; and (3 the German, Japanese, Korean and Chinese visitors would stay in the luxury hotels in the U.S. when their incomes increase no matter what the luxury hotel price increases. In the short run, the Chinese, Japanese, and Korean might not stay in the luxury hotels in the U.S. when their income or hotel price increases. The English would stay in the luxury hotels when their income or luxury hotel price increases. Finally, the two US economy recessions in 2001 and 2007-2009 do not affect the demand for luxury hotel rooms in the long run.

Demand for long acting contraceptive methods and associated factors among family planning service users, Northwest Ethiopia: a health facility based cross sectional study.

Science.gov (United States)

Yalew, Saleamlak Adbaru; Zeleke, Berihun Megabiaw; Teferra, Alemayehu Shimeka

2015-02-04

Demand for long acting contraceptive methods is one of the key factors for total fertility rate and reproductive health issues. Increased demand for these methods can decline fertility rate through spacing and limiting family size in turn improving maternal and family health and socioeconomic development of a country. The aim of this study was to assess demand for long acting contraceptives and associated factors among family planning users in Debre-Tabor Town, Northwest Ethiopia. Facility based cross-sectional study was conducted from July to August 2013. Data was collected on 487 current family planning users through face to face interview using structured questionnaire. Study participants were selected by systematic sampling method. Data were entered in to Epi Info and analyzed by using SPSS version 20. Bi-variable and multi-variable regression analyses were done to identify factors associated with demand for long acting contraceptive methods. Odds ratio with 95% CI was used to assess the association between the independent variables and demand for long acting family planning methods. The study showed that, demand for long acting contraceptives was 17%. Only 9.2% of the women were using long acting contraceptive methods (met need). About 7.8% of women were using short acting methods while they actually want to use long acting methods (unmet need). Demand for LACMs was positively associated 3 with being a daily labour (AOR = 3.87, 95% CI = [1.06, 14.20]), being a student (AOR = 2.64, 95% CI = [1.27, 5.47]), no future birth intensions (AOR = 2.17, 95% CI = [1.12, 4.23]), having five or more children (AOR = 1.67, 95% CI = [1.58, 4.83]), deciding together with husbands for using the methods (AOR = 2.73, 95% CI = [1.40, 5.32]) and often having discussion with husband (AOR = 3.89, 95% CI = [1.98, 7.65]). Clients treated poorly by the health care providers during taking the services was negatively associated with demand for LACMs (AOR = 0.42, 95% CI = [0.24, 0

The pharmacist Aggregate Demand Index to explain changing pharmacist demand over a ten-year period.

Science.gov (United States)

Knapp, Katherine K; Shah, Bijal M; Barnett, Mitchell J

2010-12-15

To describe Aggregate Demand Index (ADI) trends from 1999-2010; to compare ADI time trends to concurrent data for US unemployment levels, US entry-level pharmacy graduates, and US retail prescription growth rate; and to determine which variables were significant predictors of ADI. Annual ADI data (dependent variable) were analyzed against annual unemployment rates, annual number of pharmacy graduates, and annual prescription growth rate (independent variables). ADI data trended toward lower demand levels for pharmacists since late 2006, paralleling the US economic downturn. National ADI data were most highly correlated with unemployment (p demand. Predictable increases in future graduates and other factors support revisiting the modeling process as new data accumulate.

Influential Factors for Accurate Load Prediction in a Demand Response Context

DEFF Research Database (Denmark)

Wollsen, Morten Gill; Kjærgaard, Mikkel Baun; Jørgensen, Bo Nørregaard

2016-01-01

Accurate prediction of a buildings electricity load is crucial to respond to Demand Response events with an assessable load change. However, previous work on load prediction lacks to consider a wider set of possible data sources. In this paper we study different data scenarios to map the influence....... Next, the time of day that is being predicted greatly influence the prediction which is related to the weather pattern. By presenting these results we hope to improve the modeling of building loads and algorithms for Demand Response planning.......Accurate prediction of a buildings electricity load is crucial to respond to Demand Response events with an assessable load change. However, previous work on load prediction lacks to consider a wider set of possible data sources. In this paper we study different data scenarios to map the influence...

The energy demand in the Narino Department

International Nuclear Information System (INIS)

Unidad de Planeacion Minero Energetica, UPME

2000-01-01

In the object of making a first approach of regional energy requirements analysis and the good way of satisfying them, the UPME undertook a global energy study for the Narino Department. In this study (UPME 1999) was carried out an analysis of the energy demand and of the socioeconomic factors that determine it; they were also studied the consumptions and the current energy offer and the alternatives of future evolution, with the purpose of having the basic tools of a departmental energy plan. The present article refers specifically to the analysis of the demand and it seeks to show the readers the complexity and the volume of necessary information to carry out the demand studies. They are multiple factors that determine the energy demand in the Narino Department. The size, growth populations, geographical distribution and cultural characteristic, the border condition, the faulty infrastructure of communications, the agricultural economic structure and the low entrance per capita

Society demands for the quality of education as a factor of modern education space forming

Directory of Open Access Journals (Sweden)

Ivanova Svetlana V.

2016-01-01

Full Text Available The authors research the problems of increasing in modern conditions society demands for qualitative characteristics of education services. The quality of education is considered as one of the determining factors of forming educational space. The paper analyzes the influence of social and economic conditions inherent in the post-industrial era on forming and transforming of education space at the modern stage of society development, shows the ways to overcome emerging contradictions. The authors pay special attention to the significance of project approach in solving the problems of improving education quality.

Individual-motivational factors in the acceptability of demand-side and supply-side measures to reduce carbon emissions

International Nuclear Information System (INIS)

Poortinga, Wouter; Spence, Alexa; Demski, Christina; Pidgeon, Nick F.

2012-01-01

As more than a third of all carbon dioxide emissions in the UK are generated by the domestic sector, individuals need to make drastic changes to their current lifestyle in order to play their part in climate change mitigation. Not only do they need to change their personal behaviour, they also have to accept new low-carbon technologies in order to decarbonise the energy they are using. This study uses an adapted version of the Value–Belief-Norm (VBN) model () to examine individual-motivational factors in the acceptability of demand-side and supply-side strategies to reduce carbon emissions. The study found that environmental identity, climate change concern, and personal norms are all significantly associated with the acceptability of both demand-side measures and supply-side technologies. While personal values were also important, their associations were mediated by more specific factors. Overall, the adapted VBN model was better able to explain the acceptability of low-carbon behaviours than of low-carbon energy-supply technologies. Concern about energy security appeared to be of limited importance. It was negatively associated with the willingness to engage in low-carbon behaviours, suggesting that a shift in focus towards energy security issues may not necessarily help a transition to a low-carbon society. - Highlights: ► An adapted VBN model is proposed to study environmentally significant behaviour.► Environmental identity is important for both demand-side and supply-side measures.► Energy security concern is of limited importance to support for supply-side measures.► Energy security concern reduces the willingness to engage in low-carbon behaviours.

The relationship between agricultural technology and energy demand in Pakistan

International Nuclear Information System (INIS)

Zaman, Khalid; Khan, Muhammad Mushtaq; Ahmad, Mehboob; Rustam, Rabiah

2012-01-01

The purpose of this study was two fold: (i) to investigate the casual relationship between energy consumption and agricultural technology factors, and (ii) electricity consumption and technological factors in the agricultural sector of Pakistan. The study further evaluates four alternative but equally plausible hypotheses, each with different policy implications. These are: (i) Agricultural technology factors cause energy demand (the conventional view), (ii) energy demand causes technological factors, (iii) There is a bi-directional causality between the two variables and (iv) Both variables are causality independent. By applying techniques of Cointegration and Granger causality tests on energy demand (i.e., total primary energy consumption and electricity consumption) and agricultural technology factors (such as, tractors, fertilizers, cereals production, agriculture irrigated land, high technology exports, livestock; agriculture value added; industry value added and subsides) over a period of 1975–2010. The results infer that tractor and energy demand has bi-directional relationship; while irrigated agricultural land; share of agriculture and industry value added and subsides have supported the conventional view i.e., agricultural technology cause energy consumption in Pakistan. On the other hand, neither fertilizer consumption and high technology exports nor energy demand affect each others. Government should form a policy of incentive-based supports which might be a good policy for increasing the use of energy level in agriculture. - Highlights: ► Find the direction between green technology factors and energy demand in Pakistan. ► The results indicate that there is a strong relationship between them. ► Agriculture machinery and energy demand has bi-directional relationship. ► Green technology causes energy consumption i.e., unidirectional relationship. ► Agriculture expansion is positive related to total primary energy consumption.

Seven Trends Driving U.S. Food Demands

OpenAIRE

Kinsey, Jean D.

1992-01-01

Seven trends have a great deal to say about how demand for food will evolve into the 21 st century. They relate to the slow growth in total food demand, diversity in foods, global homogenization of food consumption patterns, demand for convenience, public services related to food, relationships between food production and its distribution to the environment, and, better health. Paying close attention to these factors can help distinguish between fads that will soon be gone and more fundamenta...

[Application of job demands-resources model in research on relationships between job satisfaction, job resources, individual resources and job demands].

Science.gov (United States)

Potocka, Adrianna; Waszkowska, Małgorzata

2013-01-01

The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R) model in the explanation of these phenomena. The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaires were used to test the hypothesis. The results showed that job satisfaction increased with increasing job accessibility and personal resources (r = 0.44; r = 0.31; p job resources and job demands [F(1.474) = 4.004; F(1.474) = 4.166; p job satisfaction. Moreover, interactions between job demands and job resources [F(3,474) = 2.748; p job demands and personal resources [F(3.474) = 3.021; p job satisfaction. The post hoc tests showed that 1) in low job demands, but high job resources employees declared higher job satisfaction, than those who perceived them as medium (p = 0.0001) or low (p = 0.0157); 2) when the level of job demands was perceived as medium, employees with high personal resources declared significantly higher job satisfaction than those with low personal resources (p = 0.0001). The JD-R model can be used to investigate job satisfaction. Taking into account fundamental factors of this model, in organizational management there are possibilities of shaping job satisfaction among employees.

Opportunities for Automated Demand Response in California Wastewater Treatment Facilities

Energy Technology Data Exchange (ETDEWEB)

Aghajanzadeh, Arian [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wray, Craig [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); McKane, Aimee [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2015-08-30

Previous research over a period of six years has identified wastewater treatment facilities as good candidates for demand response (DR), automated demand response (Auto-­DR), and Energy Efficiency (EE) measures. This report summarizes that work, including the characteristics of wastewater treatment facilities, the nature of the wastewater stream, energy used and demand, as well as details of the wastewater treatment process. It also discusses control systems and automated demand response opportunities. Furthermore, this report summarizes the DR potential of three wastewater treatment facilities. In particular, Lawrence Berkeley National Laboratory (LBNL) has collected data at these facilities from control systems, submetered process equipment, utility electricity demand records, and governmental weather stations. The collected data were then used to generate a summary of wastewater power demand, factors affecting that demand, and demand response capabilities. These case studies show that facilities that have implemented energy efficiency measures and that have centralized control systems are well suited to shed or shift electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. In summary, municipal wastewater treatment energy demand in California is large, and energy-­intensive equipment offers significant potential for automated demand response. In particular, large load reductions were achieved by targeting effluent pumps and centrifuges. One of the limiting factors to implementing demand response is the reaction of effluent turbidity to reduced aeration at an earlier stage of the process. Another limiting factor is that cogeneration capabilities of municipal facilities, including existing power purchase agreements and utility receptiveness to purchasing electricity from cogeneration facilities, limit a facility’s potential to participate in other DR activities.

Job Demand and Job Resources related to the turnover intention of public health nurses: An analysis using a Job Demands-Resources model.

Science.gov (United States)

Iguchi, Aya

2016-01-01

Objectives The purpose of this study was to investigate the job demands and job resources of public health nurses based on the Job Demands-Resources (JD-R) model, and to build a model that can estimate turnover intention based on job demands and job resources.Method By adding 12 items to the existing questionnaire, the author created a questionnaire consisting of 10 factors and 167 items, and used statistical analysis to examine job demands and job resources in relation to turnover intention.Results Out of 2,668 questionnaires sent, 1993 (72.5%) were returned. Considering sex-based differences in occupational stress, I analyzed women's answers in 1766 (66.2%) mails among the 1798 valid responses. The average age of respondents was 41.0±9.8 years, and the mean service duration was 17.0±10.0 years. For public health nurses, there was a turnover intention of 9.2%. The "job demands" section consisted of 29 items and 10 factors, while the "job resources" section consisted of 54 items and 22 factors. The result of examining the structure of job demands and job resources, leading to turnover intention was supported by the JD-R model. Turnover intention was strong and the Mental Component Summary (MCS) is low in those who had many job demands and few job resources (experiencing 'burn-out'). Enhancement of work engagement and turnover intention was weak in those who had many job resources. This explained approximately 60% of the dispersion to "burn-out", and approximately 40% to "work engagement", with four factors: work suitability, work significance, positive work self-balance, and growth opportunity of job resources.Conclusion This study revealed that turnover intention is strong in those who are burned out because of many job demands. Enhancement of work engagement and turnover intention is weak in those with many job resources. This suggests that suitable staffing and organized efforts to raise awareness of job significance are effective in reducing

Communication technologies for demand side management

Energy Technology Data Exchange (ETDEWEB)

Uuspaeae, P [VTT Energy, Espoo (Finland)

1998-08-01

The scope of this research is data communications for electric utilities, specifically for the purposes of Demand Side Management (DSM). Demand Side Management has the objective to change the customer`s end use of energy in a manner that benefits both the customer and the utility. For example, peak demand may be reduced, and the peak demand may be relocated to off peak periods. Thus additional investments in generation and network may be avoided. A number of Demand Side Management functions can be implemented if a communication system is available between the Electric Utility and the Customer. The total communication capacity that is needed, will depend on several factors, such as the functions that are chosen for DSM, and on the number and type of customers. Some functions may be handled with one-way communications, while some other functions need to have two-way communication

The UFE Prospective scenarios for energy demand

International Nuclear Information System (INIS)

2013-01-01

After an overview of the French energy consumption in 2011 (final energy consumption, distribution of CO 2 emissions related to energy consumption), this Power Point presentation proposes graphs and figures illustrating UFE's prospective scenarios for energy demand. The objective is to foresee energy demand in 2050, to study the impact of possible actions on energy demand, and to assess the impact on greenhouse gas emissions. Hypotheses relate to demographic evolution, economic growth, energy intensity evolution, energy efficiency, and use transfers. Factors of evolution of energy demand are discussed: relationship between demography and energy consumption, new uses of electricity (notably with TICs), relationship between energy intensity and economic growth. Actions on demand are discussed. The results of different scenarios of technical evolution are presented

Coping with unexpected oil demand movements

International Nuclear Information System (INIS)

Anon.

2004-01-01

Continuous upward revisions to world oil demand projections for 2003 and 2004 are compared with the downward revisions that took place in 1998 and 1999, following the 1997 Asian economic crisis. Demand leads supply, in the current case, resulting in a time-lag in the whole supply chain, while supply led demand half a decade ago, with the OECD's commercial stocks reaching record highs. Recent months have seen a reversal of the longstanding inverse relationship between the United States of America's commercial crude oil stock levels and crude prices, and they are now moving in parallel. The fact that the US market is now adequately or even well supplied means that factors other than inventory levels are causing the present high prices. These factors are briefly outlined. OPEC is doing everything it can to maintain market stability, with prices at levels acceptable to producers and consumers. The agreement reached in Beirut on 3 June is the latest example of this. (Author)

US residential energy demand and energy efficiency: A stochastic demand frontier approach

International Nuclear Information System (INIS)

Filippini, Massimo; Hunt, Lester C.

2012-01-01

This paper estimates a US frontier residential aggregate energy demand function using panel data for 48 ‘states’ over the period 1995 to 2007 using stochastic frontier analysis (SFA). Utilizing an econometric energy demand model, the (in)efficiency of each state is modeled and it is argued that this represents a measure of the inefficient use of residential energy in each state (i.e. ‘waste energy’). This underlying efficiency for the US is therefore observed for each state as well as the relative efficiency across the states. Moreover, the analysis suggests that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controlling for a range of economic and other factors, the measure of energy efficiency obtained via this approach is. This is a novel approach to model residential energy demand and efficiency and it is arguably particularly relevant given current US energy policy discussions related to energy efficiency.

DEMAND FOR BEEF IN THE PROVINCE OF YOGYAKARTA

Directory of Open Access Journals (Sweden)

Sulistiya

2014-07-01

Full Text Available RACT Protein consumption level of society in Yogyakarta Province has yet to meet the target, but the beef is a source of animal protein that is easily obtainable. Therefore, research on the analysis of demand for beef in this province needs to be done. Objective: (1 Determine the factors that affect the demand for beef in Yogyakarta. (2 Determine the own price elasticity and income elasticity of demand for beef in this province, and to know the cross-price elasticity of demand for beef to changes in the price of mutton, chicken, rice, and cooking oil. Metode: descriptive statistics, followed by inductive statistics , and hypothesis testing. The data used are primary and secondary data. Data were analyzed by multiple linear regression with the value of t and F tests, and analysis of the coefficient of determination. Results: Taken together, the factors that affect the demand for beef in the province is the price of beef, mutton, chicken, rice, cooking oil, income, number of inhabitants. Individually, beef demand is influenced by the price of beef and income residents. Beef inelastic demand means that beef is the daily necessities that are affordable and easy to obtain population of Yogyakarta Province. The increase in income population does not add to demand for beef. Substitutes of beef in the province is goat and chicken, while the complementary goods are rice and cooking oil.

Psychosocial work environment and health in U.S. metropolitan areas: a test of the demand-control and demand-control-support models.

Science.gov (United States)

Muntaner, C; Schoenbach, C

1994-01-01

The authors use confirmatory factor analysis to investigate the psychosocial dimensions of work environments relevant to health outcomes, in a representative sample of five U.S. metropolitan areas. Through an aggregated inference system, scales from Schwartz and associates' job scoring system and from the Dictionary of Occupational Titles (DOT) were employed to examine two alternative models: the demand-control model of Karasek and Theorell and Johnson's demand-control-support model. Confirmatory factor analysis was used to test the two models. The two multidimensional models yielded better fits than an unstructured model. After allowing for the measurement error variance due to the method of assessment (Schwartz and associates' system or DOT), both models yielded acceptable goodness-of-fit indices, but the fit of the demand-control-support model was significantly better. Overall these results indicate that the dimensions of Control (substantive complexity of work, skill discretion, decision authority), Demands (physical exertion, physical demands and hazards), and Social Support (coworker and supervisor social supports) provide an acceptable account of the psychosocial dimensions of work associated with health outcomes.

Factors Influencing Compensation Demanded for Environmental Impacts Generated by Different Economic Activities

Directory of Open Access Journals (Sweden)

Virna Vaneza Gutiérrez

2015-07-01

Full Text Available This work advances the understanding of compensation demanded for environmental impacts on atmosphere, lakes and rivers, soil, and ocean generated by mining, urban, fishing and agriculture activities. Our aims are to determine whether compensation demanded depends on the standard variables used in the field of risk perception (as perceived risk, public acceptability and trust in regulating authorities, and to explore whether these relationships depend on the environment affected and on the economic activity generating the impacts. General Linear Models were used to analyze survey responses from 427 citizens of Santiago, Chile. Results showed that compensation demanded depends on perceived risk, acceptability, and on the economic activity, but not on the environment affected. Acceptability depends on trust in authorities, on perceived risk and on the economic activity. Perceived risk depends on trust, the economic activity and the environment affected. Overall, environmental impacts from the mining industry are perceived as riskier, less acceptable, and have a higher compensation demanded than those generated by the other sectors. These results suggest that to achieve sustainable development, regulations should consider not only environmental impacts but also the economic activity originating them.

Determinants of export demand and their stability in Ghana | Osei ...

African Journals Online (AJOL)

Therefore, the study examines the factors that determine export demand in Ghana for the period 1970 to 2011. Using Johansen cointegration methodology, export demand is cointegrated with real effective exchange rate, domestic export prices, world export prices and real world income. The export demand function exhibits ...

Temperature effects on future energy demand in Sub-Saharan Africa

Science.gov (United States)

Shivakumar, Abhishek

2016-04-01

Climate change is projected to adversely impact different parts of the world to varying extents. Preliminary studies show that Sub-Saharan Africa is particularly vulnerable to climate change impacts, including changes to precipitation levels and temperatures. This work will analyse the effect of changes in temperature on critical systems such as energy supply and demand. Factors that determine energy demand include income, population, temperature (represented by cooling and heating degree days), and household structures. With many countries in Sub-Saharan Africa projected to experience rapid growth in both income and population levels, this study aims to quantify the amplified effects of these factors - coupled with temperature changes - on energy demand. The temperature effects will be studied across a range of scenarios for each of the factors mentioned above, and identify which of the factors is likely to have the most significant impact on energy demand in Sub-Saharan Africa. Results of this study can help set priorities for decision-makers to enhance the climate resilience of critical infrastructure in Sub-Saharan Africa.

Effects off system factors on the economics of and demand for small solar thermal power systems

Science.gov (United States)

1981-09-01

Market penetration as a function time, SPS performance factors, and market/economic considerations was estimated, and commercialization strategies were formulated. A market analysis task included personal interviews and supplemental mail surveys to acquire statistical data and to identify and measure attitudes, reactions and intentions of prospective SPS users. Interviews encompassed three ownership classes of electric utilities and industrial firms in the SIC codes for energy consumption. A market demand model was developed which utilized the data base developed, and projected energy price and consumption data to perform sensitivity analyses and estimate potential market for SPS.

Inclusion of climatic and touristic factors in the analysis and modelling of the municipal water demand in a Mediterranean region

Science.gov (United States)

Toth, Elena; Bragalli, Cristiana; Neri, Mattia

2017-04-01

In Mediterranean regions, inherently affected by water scarcity conditions, the gap between water availability and demand may further increase in the near future due to both climatic and anthropogenic drivers. In particular, the high degree of urbanization and the concentration of population and activities in coastal areas is often severely impacting the water availability also for the residential sector. It is therefore crucial analysing the importance of both climatic and touristic factors as drivers for the water demand in such areas, to better understand and model the expected consumption in order to improve the water management policies and practices. The study presents an analysis referred to a large number of municipalities, covering almost the whole Romagna region, in Northern Italy, representing one of the most economically developed areas in Europe and characterized by an extremely profitable tourist industry, especially in the coastal cities. For this region it is therefore extremely important to assess the significance of the drivers that may influence the demand in the different periods of the year, that is climatic factors (rainfall depths and occurrence, temperature averages and extremes), but also the presence of tourists, in both official tourist accommodation structures and in holidays homes (and the latter are very difficult to estimate). Analyses on the Italian water industry at seasonal or monthly time scale has been so far, extremely limited in the literature by the scarce availability of data on the water demands, that are made public only as annual volumes. All the study municipalities are supplied by the same water company, who provided monthly consumption volumes data at the main inlet points of the entire distribution network for a period of 7 years (2009-2015). For the same period, precipitation and temperature data have been collected and summarised in indexes representing monthly averages, days of occurrence and over threshold values

World nuclear fuel supply and demand prospects until 2030. Analysis of demand change factor of natural uranium and uranium separation work and its influence

International Nuclear Information System (INIS)

Murakami, Tomoko

2007-01-01

World nuclear power generation continues to spread gently until 2030 from the viewpoint of increase of the electricity demand around Asia, stable energy supply and anti-global warming measure, and the natural uranium demand is predicted to be increased from about 67 ktU in 2004 to 80-100 ktU in 2030. Steps of conversion/separation/reconversion/molding processing of the natural uranium are necessary for nuclear fuel, and the separation work of those is important because it needs high technology. There is a relation of the trade-off through the tale density (0.3% as a standard) between natural uranium and separation work demand. Therefore an analysis was performed of the influence on natural uranium and separation work demand by the change of the tale density and the influence on natural uranium supply and demand prospects by the recovery uranium use. In conclusion it was very likely that the supply and demand of separation work was tight at 0.2%-0.1% as for the cost of most suitable tale density which would appear earlier than natural uranium one and that the recovery uranium could become the backup of the natural uranium. (T. Tanaka)

Cost function approach for estimating derived demand for composite wood products

Science.gov (United States)

T. C. Marcin

1991-01-01

A cost function approach was examined for using the concept of duality between production and input factor demands. A translog cost function was used to represent residential construction costs and derived conditional factor demand equations. Alternative models were derived from the translog cost function by imposing parameter restrictions.

The effect of economic factors on families calorie demand in rural

Directory of Open Access Journals (Sweden)

hossein ebadipour

2016-11-01

The quantity of the received calories by families is one of the important debates in public and development economic context. This is an attractive subject for government officials and policy makers in different countries. In the current paper, the impacts of households' income shocks, price and food commodity subsidies on the quantity of the received amount of calories in the rural parts of Iran are studied. For this purpose, we used time series data of 1961-2011 in the vector auto-regressive (VAR model. The results indicated that the impact period of the applied shock on the quantity of paid subsidies to agricultural sector is shorter than the period of price and income shocks. Besides, the most sensitivity of calorie demand is related to the income factor. According to the research findings, we can conclude that for creating food security, we should create economic stability in the market and consider the final effect of changes in nutrition pattern when determining the policies regarding market regulation, subsidies and taxation regardless of income growth that affect rural households and will have a serious negative impact on calories.

Simulation of annual electric lighting demand using various occupancy profiles

DEFF Research Database (Denmark)

Iversen, Anne; Andersen, Philip Hvidthøft Delff; Svendsen, Svend

2013-01-01

This paper describes an investigation of the effect on electric lighting demand of applying occupancy models of various resolution to climate-based daylight modelling. The lighting demand was evaluated for a building zone with the occupant always present, with occupancy corresponding to absence...... factors, based on an estimated annual mean occupancy, based on estimated 1-hour mean occupancy, and based on 2-min occupancy intervals. The results showed little difference in the annual electric lighting demand when the same occupancy profile was used every day, as opposed to when profiles were used...... where occupancy varied every day. Furthermore, the results showed that annual electric lighting demand was evaluated slightly conservatively when a mean absence factor was applied as opposed to using dynamic occupancy profiles....

On the problem of formation of demand for isotope products

International Nuclear Information System (INIS)

Zuev, G.F.

1975-01-01

A methodological approach to the study of the process of shaping the market for isotope production is considered. The hypothesis was made that 13 main factors affect the demand for isotopic products. To confirm this hypothesis, a priori information was collected by the questionnaire mathod, and it was formalized by a ranking correlation method. By using these methods it is possible to evaluate the factors that affect the demand for isotopic products. The results of the questionnaire were placed in a table which contains the ''combining rank''. The ranks were then re-formed (recalculated), and the results were placed in a matrix table. After verification, the factors were distributed according to the degree of their effect on isotopic product demand. The study is significant only if the average degree of agreement of the opinions of the experts queried is not fortuitous. Therefore the significance of the coefficient of agreement, W, was checked. Based on the coefficients of agreement obtained, it was concluded that the average degree of agreement of all experts questioned on the effect of the individual factors on the demand for isotopic products is high

Utility Sector Impacts of Reduced Electricity Demand

Energy Technology Data Exchange (ETDEWEB)

Coughlin, Katie

2014-12-01

This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

Drivers of U.S. mineral demand

Science.gov (United States)

Sznopek, John L.

2006-01-01

Introduction: The word 'demand' has different meanings for different people. To some, it means their 'wants and needs,' to others it is what they consume. Yet, when considering economics, demand refers to the specific amounts of goods or services that individuals will purchase at various prices. Demand is measured over a given time period. It is determined by a number of factors including income, tastes, and the price of complementary and substitute goods. In this paper, the term consumption is used fairly synonymously with the term demand. Most mineral commodities, like iron ore, copper, zinc, and gravel, are intermediate goods, which means that they are used in the production of other goods, called final goods. Demand for intermediate goods is called derived demand because such demand is derived from the demand for final goods. When demand increases for a commodity, generally the price rises. With everything else held constant, this increases the profits for those who provide this commodity. Normally, this would increase profits of existing producers and attract new producers to the market. When demand for a commodity decreases, generally the price falls. Normally, this would cause profits to fall and, as a consequence, the least efficient firms may be forced from the industry. Demand changes for specific materials as final goods or production techniques are reengineered while maintaining or improving product performance, for example, the use of aluminum in the place of copper in long distance electrical transmission lines or plastic replacing steel in automobile bumpers. Substitution contributes to efficient material usage by utilizing cheaper or technically superior materials. In this way, it may also alleviate materials scarcity. If a material becomes relatively scarce (and thus more expensive), a more abundant (and less expensive) material generally replaces it (Wagner and others, 2003, p. 91).

Openness, Technological Change and Labor Demand in Pre-Crisis Indonesia.

OpenAIRE

Suryahadi, A.; Chen, P.; Tyers, R.

1999-01-01

This paper examines the impact of export orientation, import competition, foreign ownership, and the rate of capital accumulation on the relative demand for skilled and unskilled labor in pre-crisis Indonesia. Estimates from an interrelated factor demand analysis indicate that openness and foreign ownership, by themselves, acted to raise the relative demand for unskilled workers in the pre-crisis period, while the newness of capital was associated with increased relative demand for skilled wo...

Study on the hydrogen demand in China based on system dynamics model

International Nuclear Information System (INIS)

Ma, Tao; Ji, Jie; Chen, Ming-qi

2010-01-01

Reasonable estimation of hydrogen energy and other renewable energy demand of China's medium and long-term energy is of great significance for China's medium and long-term energy plan. Therefore, based on both China's future economic development and relative economic theory and system dynamics theory, this article analyzes qualitatively the internal factors and external factors of hydrogen energy demand system, and makes the state high and low two assumptions about China's medium and long-term hydrogen demand according to the different speed of China's economic development. After the system dynamic model setting up export and operation, the output shows the data changes of the total hydrogen demand and the four kinds of hydrogen demand. According to the analysis of the output, two conclusions are concluded: The secondary industry, not the tertiary industry (mainly the transportation), should be firstly satisfied by the hydrogen R and D and support of Government policy. Change of Chinese hydrogen demand scale, on basis of its economic growth, can not be effective explained through Chinese economic growth rate, and other influencing factor and mechanism should be probed deeply. (author)

Production control and supplier selection under demand disruptions

Directory of Open Access Journals (Sweden)

Xianzhe Chen

2010-12-01

Full Text Available This paper investigates the effects of demand disruptions on production control and supplier selection in a three-echelon supply chain system. The customer demand is modeled as a jump-diffusion process in a continuous-time setting. A two-number production-inventory policy is implemented in the production control model for the manufacturer. The objective is to minimize the long-term average total cost consisting of backlog cost, holding cost, switching cost, and ordering cost. The simulated annealing method is applied to search the optimal critical switching values. Furthermore, an improved analytical hierarchy process (AHP is proposed to select the best supplier, based on quantitative factors such as the optimal long-term total cost obtained through the simulated annealing method under demand disruptions and qualitative factors such as quality and service. Numerical studies are conducted to demonstrate the effects of demand disruptions in the face of various risk scenarios. Managerial insights from simulation results are provided as well. Our approaches can be implemented as the “stress test” for companies in front of various supply chain disruption scenarios.

Application of Job Demands-Resources model in research on relationships between job satisfaction, job resources, individual resources and job demands

Directory of Open Access Journals (Sweden)

Adrianna Potocka

2013-04-01

Full Text Available Background: The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R model in the explanation of these phenomena. Materials and Methods: The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaires were used to test the hypothesis. Results: The results showed that job satisfaction increased with increasing job accessibility and personal resources (r = 0.44; r = 0.31; p < 0.05. The analysis of variance (ANOVA indicated that job resources and job demands [F(1.474 = 4.004; F(1.474 = 4.166; p < 0.05] were statistically significant sources of variation in job satisfaction. Moreover, interactions between job demands and job resources [F(3,474 = 2.748; p < 0.05], as well as between job demands and personal resources [F(3.474 = 3.021; p < 0.05] had a significant impact on job satisfaction. The post hoc tests showed that 1 in low job demands, but high job resources employees declared higher job satisfaction, than those who perceived them as medium (p = 0.0001 or low (p = 0.0157; 2 when the level of job demands was perceived as medium, employees with high personal resources declared significantly higher job satisfaction than those with low personal resources (p = 0.0001. Conclusion: The JD-R model can be used to investigate job satisfaction. Taking into account fundamental factors of this model, in organizational management there are possibilities of shaping job satisfaction among employees. Med Pr 2013;64(2:217–225

Maximum spectral demands in the near-fault region

Science.gov (United States)

Huang, Yin-Nan; Whittaker, Andrew S.; Luco, Nicolas

2008-01-01

The Next Generation Attenuation (NGA) relationships for shallow crustal earthquakes in the western United States predict a rotated geometric mean of horizontal spectral demand, termed GMRotI50, and not maximum spectral demand. Differences between strike-normal, strike-parallel, geometric-mean, and maximum spectral demands in the near-fault region are investigated using 147 pairs of records selected from the NGA strong motion database. The selected records are for earthquakes with moment magnitude greater than 6.5 and for closest site-to-fault distance less than 15 km. Ratios of maximum spectral demand to NGA-predicted GMRotI50 for each pair of ground motions are presented. The ratio shows a clear dependence on period and the Somerville directivity parameters. Maximum demands can substantially exceed NGA-predicted GMRotI50 demands in the near-fault region, which has significant implications for seismic design, seismic performance assessment, and the next-generation seismic design maps. Strike-normal spectral demands are a significantly unconservative surrogate for maximum spectral demands for closest distance greater than 3 to 5 km. Scale factors that transform NGA-predicted GMRotI50 to a maximum spectral demand in the near-fault region are proposed.

The year that was : getting a bead on oil demand

International Nuclear Information System (INIS)

Knapp, D.

2002-01-01

The qualitative factors that generally impact oil demand were reviewed with particular reference to how each factor played out in year 2001 when oil patterns never seemed to establish themselves. In the first part of 2001, growth was slightly too fast while in the second half it was a bit too slow. The normal impacts of the economy, oil prices, weather, and gas market developments did not play out with typical timing or degree, particularly with the advent of September 11 and the special conditions that dominated some products in specialized markets such as jet fuel or U.S. utilities gas substitutable oil generation. This presentation addresses the changing geographic mix of oil demand as it relates to differences in economic conditions and how oil price changes affect different consuming countries. Year 2001 also saw widely varied weather conditions worldwide. General oil market balances affect oil demand, but most focus in 2001 was directed toward oil supply, on OPEC compliance and on OPEC/non-OPEC cooperation. However, oil demand will continue to be a critical factor within petroleum markets. It is predicted that growth in demand for oil and not oil production will save the day for producers in the second half of 2002. 10 figs

Uranium supply and demand, 1980-1995: a Uranium Institute analysis

International Nuclear Information System (INIS)

Erkes, P.; Clements, A.; Lloyd, B.; Darmayan, P.

1982-01-01

A major factor affecting the growth of the uranium market has reduced global economic growth, leading to a reduced demand for electricity and a lack of urgency regarding the need for new generating capacity. Factors influencing the demand for uranium are commitments to enrichment contracts, stockpiles and procurement policies, nuclear capacity forecasts. The present over supply, caused by the oil price rise of the early 1970's is likely to persist into the mid 1980's. Supply and demand should reach a balance in the second half of the 1980's or early 1990's. Economic incentives must be available to producers to encourage future exploration and mine development. (U.K.)

Dietetics supply and demand: 2010-2020.

Science.gov (United States)

Hooker, Roderick S; Williams, James H; Papneja, Jesleen; Sen, Namrata; Hogan, Paul

2012-03-01

The Academy of Nutrition and Dietetics, in conjunction with the Commission on Dietetic Registration (CDR), invited The Lewin Group to undertake an analysis of the dietetics workforce. The purpose of the workforce study was to develop a model that can project the supply and demand for both registered dietitians (RDs) and dietetic technicians, registered (DTRs) (collectively referred to as CDR-credentialed dietetics practitioners) as the result of various key drivers of change. The research team was asked to quantify key market factors where possible and to project likely paths for the evolution of workforce supply and demand, as well as to assess the implications of the findings. This article drew on the survey research conducted by Readex Research and futurist organizations such as Signature i and Trend Spot Consulting. Furthermore, members of the Dietetics Workforce Demand Task Force were a source of institutional and clinical information relevant to the credentialed dietetics workforce--including their opinions and judgment of the current state of the health care market for dietetic services, its future state, and factors affecting it, which were useful and were integrated with the objective sources of data. The model is flexible and accommodates the variation in how RDs and DTRs function in diverse practice areas. For purposes of this study and model, the dietetics workforce is composed of RDs and DTRs. This report presents the results of this workforce study and the methodology used to calculate the projected dietetics workforce supply and demand. The projections are based on historical trends and estimated future changes. Key findings of the study included the following: • The average age of all CDR-credentialed dietetics practitioners in baseline supply (2010) is 44 years; approximately 96% are women. • Approximately 55% of CDR-credentialed dietetics practitioners work in clinical dietetics. • The annual growth rate of supply of CDR

High-demand jobs: age-related diversity in work ability?

NARCIS (Netherlands)

Sluiter, Judith K.

2006-01-01

High-demand jobs include 'specific' job demands that are not preventable with state of the art ergonomics knowledge and may overburden the bodily capacities, safety or health of workers. An interesting question is whether the age of the worker is an important factor in explanations of diversity in

Assessing economic and demographic factors that influence United States dairy demand.

Science.gov (United States)

Davis, C G; Yen, S T; Dong, D; Blayney, D P

2011-07-01

Low-fat dairy products are key components of a healthy diet for all Americans. As the USDA increases its focus on nutrition and healthy eating, it is important to understand the underlying demands for dairy products, both the healthy and the less healthy ones. The consumption of fluid milk products has decreased over the last decade, whereas milk used for manufactured dairy products such as cheese, ice cream, yogurt, and butter, and for use as an ingredient in other food products, has risen. The objective of this study is to determine the effects of changes in demographic variables, retail prices, and total dairy expenditure on at-home consumption of dairy products, using purchase data from Nielsen 2007 Homescan (ACNielsen, New York, NY) data. To derive the demand elasticities for 16 products, a censored Almost Ideal Demand System model is used. Results reveal that demographic variables do have effects on the purchase of the 16 products, and own-price elasticities are 1 or greater for all 16 products for both uncompensated and compensated elasticities except 4: ice cream, refrigerated yogurt, processed cheese, and margarine. A substitution relationship exists among all fluid milk categories, natural and processed cheese, low-fat ice cream, and refrigerated yogurt, butter, and margarine. Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Supply and demand for wood: a worldwide perspective?

Science.gov (United States)

Sally. Duncan

1998-01-01

In a unique effort to compare and contrast differing views on future supply and demand for wood, a study found that demand for wood will increase, but there is no evidence of a crisis at the world scale. Opportunities to increase wood production, however, are limited and trade-offs among competing uses of forests are inevitable. A complex of factors determine supply...

Elasticities of electricity demand in urban Indian households

International Nuclear Information System (INIS)

Filippini, Massimo; Pachauri, Shonali

2004-01-01

In the past, several electricity demand studies have been published for India based on aggregate macro data at the country or sub-national/state level. Since the underlying theory of consumer demand is based on the behaviour of individual agents, the use of micro data, which reflects individual and household behaviour, more closely, can shed greater light on the nature of consumer responses. In this paper, seasonal price and income elasticities of electricity demand in the residential sector of all urban areas of India are estimated for the first time using disaggregate level survey data for about 30,000 households. Three electricity demand functions have been econometrically estimated using monthly data for the winter, monsoon and summer season in order to understand the extent to which factors like income, prices, household size and other household specific characteristics, influence variations observed in individual households' electricity demand. The results show electricity demand is income and price inelastic in all three seasons, and that household, demographic and geographical variables are significant in determining electricity demand

Serum Tumor Necrosis Factor-alpha associates with Myocardial Oxygen Demand and Exercise Tolerance in Postmenopausal Women.

Science.gov (United States)

Carter, Stephen J; Bryan, David R; Neumeier, William H; Glasser, Stephen P; Hunter, Gary R

2018-01-01

The functional implications of serum tumor necrosis factor-alpha (TNF-α), a marker of oxidative stress, on hemodynamic parameters at rest and during physical exertion are unclear. The aims of this investigation were to examine the independent associations of TNF-α on myocardial oxygen demand at rest and during submaximal exercise, while also evaluating the association of TNF-α on exercise tolerance. Forty, postmenopausal women, provided blood samples and completed a modified-Balke protocol to measure maximal oxygen uptake (VO 2max ). Large artery compliance was measured by pulse contour analyses while rate-pressure product (RPP), an index of myocardial oxygen demand, was measured at rest and during two submaximal workloads (i.e., ≈55% and ≈75% VO 2max ). RPP was calculated by dividing the product of heart rate and systolic blood pressure (via auscultation) by 100. Exercise tolerance corresponded with the cessation of the graded exercise test. During higher-intensity exertion, ≈75% VO 2max , multiple linear regression revealed a positive association ( r = 0.43; p = 0.015) between TNF-α and RPP while adjusting for maximal heart rate, VO 2max , large artery compliance, and percent body fat. Path analyses revealed a significant indirect effect of large artery compliance on exercise tolerance through TNF-α, β = 0.13, CI [0.03, 0.35], indicating greater levels of TNF-α associated with poorer exercise tolerance. These data suggest TNF-α independently associates with myocardial oxygen demand during physical exertion, thus highlighting the utility of higher-intensity efforts to expose important phenomena not apparent at rest. TNF-α also appears to be indirectly associated with the link between large artery compliance and exercise tolerance.

Demand for Money: View in Terms of Macroeconomics and Ukrainian Bank System

OpenAIRE

Kateryna Anufriyeva

2014-01-01

The article analyses the components and factors of money demand in Ukrainian financial, and, particularly, bank market conditions; such type of money demand as demand for hard currencies has been distinguished in a highly "dollarized" economy. The emphasis lays on the necessity of exploiting of the complex toolkit for money demand dynamics regulation considering macroeconomic and financial market indicators.

Improved technical efficiency and exogenous factors in transportation demand for energy: An application of structural time series analysis to South Korean data

International Nuclear Information System (INIS)

Sa'ad, Suleiman

2010-01-01

This paper stresses the importance of incorporating the effects of improved technical efficiency and exogenous factors when estimating energy demand functions. Using annual time series data for the period 1973-2007 in the STSM (structural time series model) developed by Harvey et al. the paper estimates price and income elasticities of demand for energy as well as the annual growth of the stochastic trend at the end of the estimation period. The results of the study reveal a long-run income elasticity of 1.37 and a price elasticity of -0.19. In addition, the underlying trend is generally stochastic and negatively sloping during the greater part of the estimation period. Finally, the estimated result from the structural time series is compared with the results from the Johansen Cointegration. These results suggest that income is the dominant factor in energy consumption. In addition, the coefficient of linear trend is negative, supporting the results from the STSM.

Improved technical efficiency and exogenous factors in transportation demand for energy: An application of structural time series analysis to South Korean data

Energy Technology Data Exchange (ETDEWEB)

Sa' ad, Suleiman [Surrey Centre for Energy Economics (SEEC), University of Surrey, Guildford (United Kingdom)

2010-07-15

This paper stresses the importance of incorporating the effects of improved technical efficiency and exogenous factors when estimating energy demand functions. Using annual time series data for the period 1973-2007 in the STSM (structural time series model) developed by Harvey et al. the paper estimates price and income elasticities of demand for energy as well as the annual growth of the stochastic trend at the end of the estimation period. The results of the study reveal a long-run income elasticity of 1.37 and a price elasticity of -0.19. In addition, the underlying trend is generally stochastic and negatively sloping during the greater part of the estimation period. Finally, the estimated result from the structural time series is compared with the results from the Johansen Cointegration. These results suggest that income is the dominant factor in energy consumption. In addition, the coefficient of linear trend is negative, supporting the results from the STSM. (author)

Demand Uncertainty

DEFF Research Database (Denmark)

Nguyen, Daniel Xuyen

This paper presents a model of trade that explains why firms wait to export and why many exporters fail. Firms face uncertain demands that are only realized after the firm enters the destination. The model retools the timing of uncertainty resolution found in productivity heterogeneity models....... This retooling addresses several shortcomings. First, the imperfect correlation of demands reconciles the sales variation observed in and across destinations. Second, since demands for the firm's output are correlated across destinations, a firm can use previously realized demands to forecast unknown demands...... in untested destinations. The option to forecast demands causes firms to delay exporting in order to gather more information about foreign demand. Third, since uncertainty is resolved after entry, many firms enter a destination and then exit after learning that they cannot profit. This prediction reconciles...

Long-range prospects of world energy demands and future energy sources

International Nuclear Information System (INIS)

Kozaki, Yasuji

1998-01-01

The long-range prospects for world energy demands are reviewed, and the major factors which are influential in relation to energy demands are discussed. The potential for various kinds of conventional and new energy sources such as fossil fuels, solar energies, nuclear fission, and fusion energies to need future energy demands is also discussed. (author)

Spanish version of Bus Drivers' Job Demands Scale (BDJD-24).

Science.gov (United States)

Boada-Grau, Joan; Prizmic-Kuzmica, Aldo-Javier; González-Fernández, Marcos-David; Vigil-Colet, Andreu

2013-01-01

Karasek and Theorell's Job Demands-Control Model argues that adverse health-related outcomes, both psychological and physiological, arise from a combination of high job demand and a low level of job control. The objective was to adapt Meijman and Kompier's Bus Drivers' Job Demands Scale (BDJD-24), which enables us to assess the job demands of bus drivers, to Spanish. The final version of the Spanish adaptation was applied to a sample made up of 287 bus drivers living in Spain (80.1% men and 19.9% women), whose average age was 40.44 (SD= 11.78). The results yielded a three-factor structure for the scale used: Time Pressure, Safety, and Passengers. These findings confirm that the Spanish version replicates the factor structure of the original English scale. The reliability of the three subscales was acceptable, ranging from .75 to .84. Furthermore, the subscales were also related to different external correlates and to other scales and showed good convergent and criterion validity. The present instrument can be used to evaluate job demands of bus drivers, as its psychometrics are substantially sound.

Development of reader for the demand data from compound demand meter for power supply/demand (CDM). Development of recommended tools for load leveling in existing works; Denryoku jukyuyo fukugo keiki kara no demand data yomitori sochi no kaihatsu. Kisetsu kojo no fuka heijunka suisho tool no kaihatsu

Energy Technology Data Exchange (ETDEWEB)

Sakamoto, S. [Kansai Electric Power Co. Inc., Osaka (Japan)

1997-10-10

Kansai Electric Power has developed a system which reads the demand data for 30min. stored in the compound demand meter for power supply/demand (CDM), and prints the load curves. It is for customers of high-voltage power of less than 500kW, where load management is less extensive than that in larger users, for initial consulting on improvement of load factor (recommendation of heat storage contracts). It is to be installed on the spot to display the load curves, to allow the expert visiting the site to issue initial proposals immediately. It displays `daily demands by time zone` instead of `monthly power consumption` previously provided, and makes the graph of demands by time zone. It is designed to be compact, light, and easily and safely handled. The field test results indicate that the system can be sufficiently practical with the major performance items. 4 figs., 1 tab.

Sensitivity analysis of energy demands on performance of CCHP system

International Nuclear Information System (INIS)

Li, C.Z.; Shi, Y.M.; Huang, X.H.

2008-01-01

Sensitivity analysis of energy demands is carried out in this paper to study their influence on performance of CCHP system. Energy demand is a very important and complex factor in the optimization model of CCHP system. Average, uncertainty and historical peaks are adopted to describe energy demands. The mix-integer nonlinear programming model (MINLP) which can reflect the three aspects of energy demands is established. Numerical studies are carried out based on energy demands of a hotel and a hospital. The influence of average, uncertainty and peaks of energy demands on optimal facility scheme and economic advantages of CCHP system are investigated. The optimization results show that the optimal GT's capacity and economy of CCHP system mainly lie on the average energy demands. Sum of capacities of GB and HE is equal to historical heating demand peaks, and sum of capacities of AR and ER are equal to historical cooling demand peaks. Maximum of PG is sensitive with historical peaks of energy demands and not influenced by uncertainty of energy demands, while the corresponding influence on DH is adverse

Electricity demand of manufacturing sector in Turkey. A translog cost approach

International Nuclear Information System (INIS)

Boeluek, Guelden; Koc, A. Ali

2010-01-01

This paper models factor demand for manufacturing sector in Turkey. We estimated a translog cost function with four factor consist of capital, labor, intermediate input and electricity over the 1980-2001. Our objective, taking in the consideration electricity as production input, was twofold: on the one hand, to estimate the price elasticity of electricity demand in manufacturing sector, and on the other hand to use cross-price and Morishima Elasticities of Substitution results for structural analysis regarding effects of electricity liberalization which initiated in 2001. Empirical result shows that electricity demand is relatively price sensitive (- 0.85). Our result in terms of electricity price is consistent with the previous studies. While electricity-labor and electricity-capital inputs are complementary, results indicate the existence of substitution possibilities between electricity and intermediate input. This means that changes in electricity prices have impact on labor demand and investment demand. These results have important implications for public policy. (author)

Electricity demand of manufacturing sector in Turkey. A translog cost approach

Energy Technology Data Exchange (ETDEWEB)

Boeluek, Guelden; Koc, A. Ali [Akdeniz University, Department of Economics, Antalya, 07058 (Turkey)

2010-05-15

This paper models factor demand for manufacturing sector in Turkey. We estimated a translog cost function with four factor consist of capital, labor, intermediate input and electricity over the 1980-2001. Our objective, taking in the consideration electricity as production input, was twofold: on the one hand, to estimate the price elasticity of electricity demand in manufacturing sector, and on the other hand to use cross-price and Morishima Elasticities of Substitution results for structural analysis regarding effects of electricity liberalization which initiated in 2001. Empirical result shows that electricity demand is relatively price sensitive (- 0.85). Our result in terms of electricity price is consistent with the previous studies. While electricity-labor and electricity-capital inputs are complementary, results indicate the existence of substitution possibilities between electricity and intermediate input. This means that changes in electricity prices have impact on labor demand and investment demand. These results have important implications for public policy. (author)

Energy demand seen as an open perspective

International Nuclear Information System (INIS)

Scholz, L.

1990-01-01

In the course assessments of the potentials of conserving energy it has become clear that the major problems in such attempts do not come from the field of science or technology, but rather from the economy and the society. The chapter on prognostic assessment of energy demand therefore discusses the procedures in the Federal Republic of Germany and prognoses of energy demand and supply in their context, which is made up of ecological, economic, political and sociological factors. (DG) [de

A bottom-up approach of stochastic demand allocation in water quality modelling

NARCIS (Netherlands)

Blokker, E.J.M.; Vreeburg, J.H.G.; Beverloo, H.; Klein Arfman, M.; Van Dijk, J.C.

2010-01-01

An “all pipes” hydraulic model of a drinking water distribution system was constructed with two types of demand allocations. One is constructed with the conventional top-down approach, i.e. a demand multiplier pattern from the booster station is allocated to all demand nodes with a correction factor

The impact of changing technology on the demand for air transportation

Science.gov (United States)

Kneafsey, J. T.; Taneja, N. K.

1978-01-01

Demand models for air transportation that are sensitive to the impact of changing technology were developed. The models are responsive to potential changes in technology, and to changing economic, social, and political factors as well. In addition to anticipating the wide differences in the factors influencing the demand for long haul and short haul air travel, the models were designed to clearly distinguish among the unique features of these markets.

Demand for abortion and post abortion care in Ibadan, Nigeria.

Science.gov (United States)

Awoyemi, Bosede O; Novignon, Jacob

2014-01-01

While induced abortion is considered to be illegal and socially unacceptable in Nigeria, it is still practiced by many women in the country. Poor family planning and unsafe abortion practices have daunting effects on maternal health. For instance, Nigeria is on the verge of not meeting the Millennium development goals on maternal health due to high maternal mortality ratio, estimated to be about 630 maternal deaths per 100,000 live births. Recent evidences have shown that a major factor in this trend is the high incidence of abortion in the country. The objective of this paper is, therefore, to investigate the factors determining the demand for abortion and post-abortion care in Ibadan city of Nigeria. The study employed data from a hospital-based/exploratory survey carried out between March to September 2010. Closed ended questionnaires were administered to a sample of 384 women of reproductive age from three hospitals within the Ibadan metropolis in South West Nigeria. However, only 308 valid responses were received and analysed. A probit model was fitted to determine the socioeconomic factors that influence demand for abortion and post-abortion care. The results showed that 62% of respondents demanded for abortion while 52.3% of those that demanded for abortion received post-abortion care. The findings again showed that income was a significant determinant of abortion and post-abortion care demand. Women with higher income were more likely to demand abortion and post-abortion care. Married women were found to be less likely to demand for abortion and post-abortion care. Older women were significantly less likely to demand for abortion and post-abortion care. Mothers' education was only statistically significant in determining abortion demand but not post-abortion care demand. The findings suggest that while abortion is illegal in Nigeria, some women in the Ibadan city do abort unwanted pregnancies. The consequence of this in the absence of proper post

Demand for abortion and post abortion care in Ibadan, Nigeria

Science.gov (United States)

2014-01-01

Background While induced abortion is considered to be illegal and socially unacceptable in Nigeria, it is still practiced by many women in the country. Poor family planning and unsafe abortion practices have daunting effects on maternal health. For instance, Nigeria is on the verge of not meeting the Millennium development goals on maternal health due to high maternal mortality ratio, estimated to be about 630 maternal deaths per 100,000 live births. Recent evidences have shown that a major factor in this trend is the high incidence of abortion in the country. The objective of this paper is, therefore, to investigate the factors determining the demand for abortion and post-abortion care in Ibadan city of Nigeria. Methods The study employed data from a hospital-based/exploratory survey carried out between March to September 2010. Closed ended questionnaires were administered to a sample of 384 women of reproductive age from three hospitals within the Ibadan metropolis in South West Nigeria. However, only 308 valid responses were received and analysed. A probit model was fitted to determine the socioeconomic factors that influence demand for abortion and post-abortion care. Results The results showed that 62% of respondents demanded for abortion while 52.3% of those that demanded for abortion received post-abortion care. The findings again showed that income was a significant determinant of abortion and post-abortion care demand. Women with higher income were more likely to demand abortion and post-abortion care. Married women were found to be less likely to demand for abortion and post-abortion care. Older women were significantly less likely to demand for abortion and post-abortion care. Mothers’ education was only statistically significant in determining abortion demand but not post-abortion care demand. Conclusion The findings suggest that while abortion is illegal in Nigeria, some women in the Ibadan city do abort unwanted pregnancies. The consequence of this

Energy demand patterns

Energy Technology Data Exchange (ETDEWEB)

Hoffmann, L; Schipper, L; Meyers, S; Sathaye, J; Hara, Y

1984-05-01

This report brings together three papers on energy demand presented at the Energy Research Priorities Seminar held in Ottawa on 8-10 August 1983. The first paper suggests a framework in which energy demand studies may be organized if they are to be useful in policy-making. Disaggregation and the analysis of the chain of energy transformations are possible paths toward more stable and reliable parameters. The second paper points to another factor that leads to instability in sectoral parameters, namely a changeover from one technology to another; insofar as technologies producing a product (or service) vary in their energy intensity, a technological shift will also change the energy intensity of the product. Rapid technological change is characteristic of some sectors in developing countries, and may well account for the high aggregate GDP-elasticities of energy consumption observed. The third paper begins with estimates of these elasticities, which were greater than one for all the member countries of the Asian Development Bank in 1961-78. The high elasticities, together with extreme oil dependence, made them vulnerable to the drastic rise in the oil price after 1973. The author distinguishes three diverging patterns of national experience. The oil-surplus countries naturally gained from the rise in the oil price. Among oil-deficit countries, the newly industrialized countries expanded their exports so rapidly that the oil crisis no longer worried them. For the rest, balance of payments adjustments became a prime concern of policy. Whether they dealt with the oil bill by borrowing, by import substitution, or by demand restraint, the impact of energy on their growth was unmistakable. The paper also shows why energy-demand studies, and energy studies in general, deserve to be taken seriously. 16 refs., 4 figs., 18 tabs.

The job demands-resources model of burnout.

Science.gov (United States)

Demerouti, E; Bakker, A B; Nachreiner, F; Schaufeli, W B

2001-06-01

The job demands-resources (JD-R) model proposes that working conditions can be categorized into 2 broad categories, job demands and job resources. that are differentially related to specific outcomes. A series of LISREL analyses using self-reports as well as observer ratings of the working conditions provided strong evidence for the JD-R model: Job demands are primarily related to the exhaustion component of burnout, whereas (lack of) job resources are primarily related to disengagement. Highly similar patterns were observed in each of 3 occupational groups: human services, industry, and transport (total N = 374). In addition, results confirmed the 2-factor structure (exhaustion and disengagement) of a new burnout instrument--the Oldenburg Burnout Inventory--and suggested that this structure is essentially invariant across occupational groups.

Estimation of area and income elasticities of water demand in a number of cities and towns in Gauteng

OpenAIRE

2012-01-01

M.Ing. Water demand prediction can be useful for future planning and has a significant economic effect on a city, town or suburb. There are numerous factors influencing water demand and therefore influencing the prediction thereof. The effect of each of these factors on the water demand is called the elasticity of that factor. The main aim of this study is to determine area and income elasticities of demand. This will enable the reader to predict water demand by taking stand size (area) an...

Accounting for asymmetric price responses and underlying energy demand trends in OECD industrial energy demand

International Nuclear Information System (INIS)

Adeyemi, Olutomi I.; Hunt, Lester C.

2014-01-01

This paper explores the way technical progress and improvements in energy efficiency are captured when modelling OECD industrial energy demand. The industrial sectors of the developed world involve a number of different practices and processes utilising a range of different technologies. Consequently, given the derived demand nature of energy, it is vital when modelling industrial energy demand that the impact of technical progress is appropriately captured. However, the energy economics literature does not give a clear guide on how this can be achieved; one strand suggests that technical progress is ‘endogenous’ via asymmetric price responses whereas another strand suggests that it is ‘exogenous’. More recently, it has been suggested that potentially there is a role for both ‘endogenous’ technical progress and ‘exogenous’ technical progress and consequently the general model should be specified accordingly. This paper therefore attempts to model OECD industrial energy demand using annual time series data over the period 1962–2010 for 15 OECD countries. Using the Structural Time Series Model framework, the general specifications allow for both asymmetric price responses (for technical progress to impact endogenously) and an underlying energy demand trend (for technical progress and other factors to impact exogenously, but in a non-linear way). The results show that almost all of the preferred models for OECD industrial energy demand incorporate both a stochastic underlying energy demand trend and asymmetric price responses. This gives estimated long-run income elasticities in the range of 0.34 to 0.96; estimated long-run price-maximum elasticities in the range of − 0.06 to − 1.22; estimated long-run price-recovery elasticities in the range of 0.00 to − 0.27; and estimated long-run price-cut elasticities in the range of 0.00 to − 0.18. Furthermore, the analysis suggests that when modelling industrial energy demand there is a place for �

Influence of the demand information quality on planning process accuracy in supply chain. Case studies

Directory of Open Access Journals (Sweden)

Natalia Szozda

2013-06-01

Full Text Available Background: Identification and analysis of factors that affect the accuracy of demand planning process across the supply chain is one of the most important problems which influence the effectiveness of its material and information flows. Material and methods: On the basis of demand planning process investigation authors define the main elements affecting the right supply chain performance level and investigate the possible connections between demand information quality and demand planning process accuracy. Later, an overview of some recent developments in the analyzed research area is provided. Results: Based on the literature review, there is described the defined factors impact on the accuracy of demand plan in each echelon for case companies. There are considered three cases. The examples illustrate supply chains of different manufacturing companies. The focus is placed on demand planning across the supply chains. The issue of determining the accuracy of future sales plans in each echelon of supply chains and factors affecting it are raised. Taking into account the case companies demand planning process analyses, there are defined possible quality measures, that are possible to be used when forecasting the customer demand. Conclusions: One of the most important and difficult planning area in the companies is becoming planning demand. Errors in planning are reflected not just in the business resource planning but also in the entire supply chain. Presented cases show that many factors affect the proper demand planning process in the supply chain, like e.g.  information technologies, lead-time, or number of supplied materials. As it can be seen from the case studies, the model of collecting information from the market plays an important role in the demand planning process.

Agricultural demands for natural gas and liquified petroleum gas in the USA

International Nuclear Information System (INIS)

Uri, N.D.; Gill, M.

1992-01-01

This study endeavours to determine whether farmers adjust their consumption of natural gas and liquefied petroleum gas in response to changes in the unit price of energy. A demand model is specified and estimated. The conclusions suggest that the unit price of natural gas (liquefied petroleum gas) is a factor impacting the quantity of natural gas (liquefied petroleum gas) demanded by farmers, but there is no indication that other types of energy are substitutes for natural gas or liquefied petroleum gas. Additionally, the number of acres irrigated is an important factor driving the demand for natural gas and liquefied petroleum gas. Finally, the estimated models of natural gas and liquefied petroleum gas demand were structurally stable over the period 1971-1989. (author)

Application of Job Demands-Resources model in research on relationships between job satisfaction, job resources, individual resources and job demands

OpenAIRE

Adrianna Potocka; Małgorzata Waszkowska

2013-01-01

Background: The aim of this study was to explore the relationships between job demands, job resourses, personal resourses and job satisfaction and to assess the usefulness of the Job Demands-Resources (JD-R) model in the explanation of these phenomena. Materials and Methods: The research was based on a sample of 500 social workers. The "Psychosocial Factors" and "Job satisfaction" questionnaires were used to test the hypothesis. Results: The results showed that job satisfaction increased with...

Factors influencing long term dynamics of health care supply and demand

NARCIS (Netherlands)

Smits, M.T.; Roos, E.; Pries-Heje, J.; Chiasson, M.; Wareham, J.; Busquets, X.; Valor, J.

2012-01-01

Governments and other policy makers use long-term planning models to support workforce planning decisions for regulating care markets and to ensure accurate balancing between care supply and demand. Our aim is to understand long-term effects of workforce planning decisions on care markets, in order

Strategies for Demand Response in Commercial Buildings

Energy Technology Data Exchange (ETDEWEB)

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-06-20

This paper describes strategies that can be used in commercial buildings to temporarily reduce electric load in response to electric grid emergencies in which supplies are limited or in response to high prices that would be incurred if these strategies were not employed. The demand response strategies discussed herein are based on the results of three years of automated demand response field tests in which 28 commercial facilities with an occupied area totaling over 11 million ft{sup 2} were tested. Although the demand response events in the field tests were initiated remotely and performed automatically, the strategies used could also be initiated by on-site building operators and performed manually, if desired. While energy efficiency measures can be used during normal building operations, demand response measures are transient; they are employed to produce a temporary reduction in demand. Demand response strategies achieve reductions in electric demand by temporarily reducing the level of service in facilities. Heating ventilating and air conditioning (HVAC) and lighting are the systems most commonly adjusted for demand response in commercial buildings. The goal of demand response strategies is to meet the electric shed savings targets while minimizing any negative impacts on the occupants of the buildings or the processes that they perform. Occupant complaints were minimal in the field tests. In some cases, ''reductions'' in service level actually improved occupant comfort or productivity. In other cases, permanent improvements in efficiency were discovered through the planning and implementation of ''temporary'' demand response strategies. The DR strategies that are available to a given facility are based on factors such as the type of HVAC, lighting and energy management and control systems (EMCS) installed at the site.

The Law of Supply and Demand: Here It Is Finally

OpenAIRE

Kakarot-Handtke, Egmont

2014-01-01

There is no such thing as a law of human or social behavior. The conceptual consequence of the present paper is therefore to discard the subjectivebehavioral axioms and to take objective-structural axioms as new formal foundations. The central piece of economic theory is the interaction of demand and supply which determines prices and quantities. Demand and supply in turn are determined by subjective factors. In the structural axiomatic paradigm the Law of Supply and Demand follows from objec...

Identifying rural-urban differences in the predictors of emergency ambulance service demand and misuse.

Science.gov (United States)

Wong, Ho Ting; Lin, Teng-Kang; Lin, Jen-Jia

2018-06-13

This study aims to assess rural-urban differences in the predictors of emergency ambulance service (EAS) demand and misuse in New Taipei City. Identifying the predictors of EAS demand will help the EAS service managing authority in formulating focused policies to maintain service quality. Over 160,000 electronic EAS usage records were used with a negative binomial regression model to assess rural-urban differences in the predictors of EAS demand and misuse. The factors of 1) ln-transformed population density, 2) percentage of residents who completed up to junior high school education, 3) accessibility of hospitals without an emergency room, and 4) accessibility of EAS were found to be predictors of EAS demand in rural areas, whereas only the factor of percentage of people aged above 65 was found to predict EAS demand in urban areas. For EAS misuse, only the factor of percentage of low-income households was found to be a predictor in rural areas, whereas no predictor was found in the urban areas. Results showed that the factors predicting EAS demand and misuse in rural areas were more complicated compared to urban areas and, therefore, formulating EAS policies for rural areas based on the results of urban studies may not be appropriate. Copyright © 2018. Published by Elsevier B.V.

Autonomic Nervous System Responses to Hearing-Related Demand and Evaluative Threat.

Science.gov (United States)

Mackersie, Carol L; Kearney, Lucia

2017-10-12

This paper consists of 2 parts. The purpose of Part 1 was to review the potential influence of internal (person-related) factors on listening effort. The purpose of Part 2 was to present, in support of Part 1, preliminary data illustrating the interactive effects of an external factor (task demand) and an internal factor (evaluative threat) on autonomic nervous system measures. For Part 1, we provided a brief narrative review of motivation and stress as modulators of listening effort. For Part 2, we described preliminary data from a study using a repeated-measures (2 × 2) design involving manipulations of task demand (high, low) and evaluative threat (high, low). The low-demand task consisted of repetition of sentences from a narrative. The high-demand task consisted of answering questions about the narrative, requiring both comprehension and recall. During the high evaluative threat condition, participants were filmed and told that their video recordings would be evaluated by a panel of experts. During the low evaluative threat condition, no filming occurred; participants were instructed to "do your best." Skin conductance (sympathetic nervous system activity) and heart rate variability (HRV, parasympathetic activity) were measured during the listening tasks. The HRV measure was the root mean square of successive differences of adjacent interbeat intervals. Twelve adults with hearing loss participated. Skin conductance increased and HRV decreased relative to baseline (no task) for all listening conditions. Skin conductance increased significantly with an increase in evaluative threat, but only for the more demanding task. There was no significant change in HRV in response to increasing evaluative threat or task demand. Listening effort may be influenced by factors other than task difficulty, as reviewed in Part 1. This idea is supported by the preliminary data indicating that the sympathetic nervous system response to task demand is modulated by social evaluative

Aggregated Demand Modelling Including Distributed Generation, Storage and Demand Response

OpenAIRE

Marzooghi, Hesamoddin; Hill, David J.; Verbic, Gregor

2014-01-01

It is anticipated that penetration of renewable energy sources (RESs) in power systems will increase further in the next decades mainly due to environmental issues. In the long term of several decades, which we refer to in terms of the future grid (FG), balancing between supply and demand will become dependent on demand actions including demand response (DR) and energy storage. So far, FG feasibility studies have not considered these new demand-side developments for modelling future demand. I...

the determinants of demand for public transport services in kumasi

African Journals Online (AJOL)

dmosman.admin

The objective of the study was to establish the major factors influencing demand as well as de- velop a demand model for urban passenger transport services in Kumasi, Ghana. ... Cities in developing countries often spend be- ... the total urban road network was in “Good” ... several other functions of a national, regional.

Job-demand for Learning, Job-related Learning and Need for Achievement

OpenAIRE

Loon, Mark; Casimir, G.

2007-01-01

Individual learning is important, as it is both a precursor and an outcome of learning in organisations. Job-related learning is driven by external factors (e.g., the demands of the job) and internal factors (i.e., the personality of the individual). The study examined whether need for achievement moderates the relationship between job-demand for learning and job-related learning. Data were obtained from 153 full-time, white-collar employees from a range of industries. Hierarchical regression...

Transportation Energy Futures Series: Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future

Energy Technology Data Exchange (ETDEWEB)

Grenzeback, L. R. [Cambridge Systematics Inc., Cambridge, MA (United States); Brown, A. [Cambridge Systematics Inc., Cambridge, MA (United States); Fischer, M. J. [Cambridge Systematics Inc., Cambridge, MA (United States); Hutson, N. [Cambridge Systematics Inc., Cambridge, MA (United States); Lamm, C. R. [Cambridge Systematics Inc., Cambridge, MA (United States); Pei, Y. L. [Cambridge Systematics Inc., Cambridge, MA (United States); Vimmerstedt, L. [Cambridge Systematics Inc., Cambridge, MA (United States); Vyas, A. D. [Cambridge Systematics Inc., Cambridge, MA (United States); Winebrake, J. J. [Cambridge Systematics Inc., Cambridge, MA (United States)

2013-03-01

Freight transportation demand is projected to grow to 27.5 billion tons in 2040, and by extrapolation, to nearly 30.2 billion tons in 2050, requiring ever-greater amounts of energy. This report describes the current and future demand for freight transportation in terms of tons and ton-miles of commodities moved by truck, rail, water, pipeline, and air freight carriers. It outlines the economic, logistics, transportation, and policy and regulatory factors that shape freight demand; the possible trends and 2050 outlook for these factors, and their anticipated effect on freight demand and related energy use. After describing federal policy actions that could influence freight demand, the report then summarizes the available analytical models for forecasting freight demand, and identifies possible areas for future action.

The relationship among customer demand, competitive strategy and manufacturing system functional objectives

Directory of Open Access Journals (Sweden)

Wei Xu

2013-09-01

Full Text Available Purpose: To ascertain the relationship between the operation system function goal decision making and customer demand and competition strategy, can better discover and integrate all available resources (including important capital resources to achieve business opportunities, the establishment of sustainable competitive ability. Because, to achieve business development lead policymakers take great uncertainty, which led to the investment behavior required for the operational activities of resources also bear the enormous risks. Design/methodology/approach: Through principal component analysis on the data collected by questionnaires, the manuscript obtains dominant factors for customer demand, competitive strategy and manufacturing system functional objectives respectively. By these factors, it tests its three hypotheses with the data from northeast of China and draws some conclusions. Findings: The results show that customer demand have a significant positive effect on competitive strategy; competitive strategy have positive influence on manufacturing system functional objectives; customer demand affect the functional objectives, by competitive strategy. Research limitations/implications: In this research, competitive strategy and manufacturing system functional objectives are influenced by customer demand. The conclusion of the research can provide theoretical guidance for Chinese enterprises which carry out manufacturing system functional objectives. Originality/value: In this research, a new measure questionnaire of competition strategy, customer satisfaction and operating system function goal was used, analyzed the influence factors of time, quality, cost, efficiency, service and environment, on the operation of the system. The study shows that the effect of competition strategy and customer demand has a direct impact on the operating system functions, customer demand through competitive strategy of indirect effects operating system functions.

Impact of kiln thermal energy demand and false air on cement kiln flue gas CO2 capture

Energy Technology Data Exchange (ETDEWEB)

Arachchige, Udara S.P.R.; Kawan, Dinesh; Tokheim, Lars-Andre [Telemark University College, Porsgrunn (Norway); Melaaen, Morten C. [Telemark University College, Porsgrunn (Norway); (Tel-Tek, Porsgrunn (Norway)

2013-07-01

The present study is focused on the effect of the specific thermal energy demand and the false air factor on carbon capture applied to cement kiln exhaust gases. The carbon capture process model was developed and implemented in Aspen Plus. The model was developed for flue gases from a typical cement clinker manufacturing plant. The specific thermal energy demand as well as the false air factor of the kiln system were varied in order to determine the effect on CO2 capture plant performance, such as the solvent regeneration energy demand. In general, an increase in the mentioned kiln system factors increases the regeneration energy demand. The reboiler energy demand is calculated as 3270, 3428 and 3589 kJ/kg clinker for a specific thermal energy of 3000, 3400 and 3800 kJ/kg clinker, respectively. Setting the false air factor to 25, 50 or 70% gives a reboiler energy demand of 3428, 3476, 3568 kJ/kg clinker, respectively.

Modelling Commodity Demands and Labour Supply with m-Demands

OpenAIRE

Browning, Martin

1999-01-01

In the empirical modelling of demands and labour supply we often lack data on a full set of goods. The usual response is to invoke separability assumptions. Here we present an alternative based on modelling demands as a function of prices and the quantity of a reference good rather than total expenditure. We term such demands m-demands. The advantage of this approach is that we make maximum use of the data to hand without invoking implausible separability assumptions. In the theory section qu...

Does good leadership buffer effects of high emotional demands at work on risk of antidepressant treatment?

DEFF Research Database (Denmark)

Madsen, Ida E H; Hanson, Linda L Magnusson; Rugulies, Reiner Ernst

2014-01-01

Emotionally demanding work has been associated with increased risk of common mental disorders. Because emotional demands may not be preventable in certain occupations, the identification of workplace factors that can modify this association is vital. This article examines whether effects of emoti...... of emotional demands on antidepressant treatment, as an indicator of common mental disorders, are buffered by good leadership.......Emotionally demanding work has been associated with increased risk of common mental disorders. Because emotional demands may not be preventable in certain occupations, the identification of workplace factors that can modify this association is vital. This article examines whether effects...

A Review of Demand Forecast for Charging Facilities of Electric Vehicles

Science.gov (United States)

Jiming, Han; Lingyu, Kong; Yaqi, Shen; Ying, Li; Wenting, Xiong; Hao, Wang

2017-05-01

The demand forecasting of charging facilities is the basis of its planning and locating, which has important role in promoting the development of electric vehicles and alleviating the energy crisis. Firstly, this paper analyzes the influence of the charging mode, the electric vehicle population and the user’s charging habits on the demand of charging facilities; Secondly, considering these factors, the recent analysis on charging and switching equipment demand forecast is divided into two methods—forecast based on electric vehicle population and user traveling behavior. Then, the article analyzes the two methods and puts forward the advantages and disadvantages. Finally, in view of the defects of current research, combined with the current situation of the development of the city and comprehensive consideration of economic, political, environmental and other factors, this paper proposes an improved demand forecasting method which has great practicability and pertinence and lays the foundation for the plan of city electric facilities.

Nuclear accidents, consumers' perspectives and demands

International Nuclear Information System (INIS)

Alevritou-Goulielmou, H.

2005-01-01

The public's reaction to life threatening situations is determined by a variety of factors. In the case of nuclear accidents, the panic experienced by citizens may be reasonably justified. This paper briefly describes the parameters that cause panic reactions from a consumer's point of view and summarizes citizen's demands concerning nuclear crisis management

Time-of-use based electricity demand response for sustainable manufacturing systems

International Nuclear Information System (INIS)

Wang, Yong; Li, Lin

2013-01-01

As required by the Energy Policy Act of 2005, utility companies across the U.S. are offering TOU (time-of-use) based electricity demand response programs. The TOU rate gives consumers opportunities to manage their electricity bill by shifting use from on-peak periods to mid-peak and off-peak periods. Reducing the amount of electricity needed during the peak load times makes it possible for the power grid to meet consumers' needs without building more costly backup infrastructures and help reduce GHG (greenhouse gas) emissions. Previous research on the applications of TOU and other electricity demand response programs has been mainly focused on residential and commercial buildings while largely neglected industrial manufacturing systems. This paper proposes a systems approach for TOU based electricity demand response for sustainable manufacturing systems under the production target constraint. Key features of this approach include: (i) the electricity related costs including both consumption and demand are integrated into production system modeling; (ii) energy-efficient and demand-responsive production scheduling problems are formulated and the solution technique is provided; and (iii) the effects of various factors on the near-optimal scheduling solutions are examined. The research outcome is expected to enhance the energy efficiency, electricity demand responsiveness, and cost effectiveness of modern manufacturing systems. - Highlights: • We propose a TOU based demand response approach for manufacturing systems. • Both electricity consumption and demand are integrated into the system modeling. • Energy-efficient and demand-responsive production scheduling problems are formulated. • The meta-heuristic solution technique is provided. • The effects of various factors on the scheduling solutions are examined

Demand for radiotherapy in Spain.

Science.gov (United States)

Rodríguez, A; Borrás, J M; López-Torrecilla, J; Algara, M; Palacios-Eito, A; Gómez-Caamaño, A; Olay, L; Lara, P C

2017-02-01

Assessing the demand for radiotherapy in Spain based on existing evidence to estimate the human resources and equipment needed so that every person in Spain has access to high-quality radiotherapy when they need it. We used data from the European Cancer Observatory on the estimated incidence of cancer in Spain in 2012, along with the evidence-based indications for radiotherapy developed by the Australian CCORE project, to obtain an optimal radiotherapy utilisation proportion (OUP) for each tumour. About 50.5 % of new cancers in Spain require radiotherapy at least once over the course of the disease. Additional demand for these services comes from reradiation therapy and non-melanoma skin cancer. Approximately, 25-30 % of cancer patients with an indication for radiotherapy do not receive it due to factors that include access, patient preference, familiarity with the treatment among physicians, and especially resource shortages, all of which contribute to its underutilisation. Radiotherapy is underused in Spain. The increasing incidence of cancer expected over the next decade and the greater frequency of reradiations necessitate the incorporation of radiotherapy demand into need-based calculations for cancer services planning.

Demand and supply in Russian gas market

International Nuclear Information System (INIS)

Milovidov, K.N.

1997-01-01

The big volume of gas supplies for current and future energy and natural gas balances in Russia is important to understand the likely future dynamics of demand for gas. The path of future demand in Russia is uncertain and the range of possible scenarios is wide. For creating the new gas consumption structure, more deep diversification and development of the gas distribution systems, large investments and considerable periods of time are necessary. The factors usually studied in detail in the conditions of market economy can not be used here as a basis for strategic planning due to several reasons. (R.P.)

Demand scenarios, worldwide

Energy Technology Data Exchange (ETDEWEB)

Schaefer, A [Massachusetts Inst. of Technology, Center for Technology, Policy and Industrial Development and the MIT Joint Program on the Science and Policy of Global Change, Cambridge, MA (United States)

1996-11-01

Existing methods are inadequate for developing aggregate (regional and global) and long-term (several decades) passenger transport demand scenarios, since they are mainly based on simple extensions of current patterns rather than causal relationships that account for the competition among transport modes (aircraft, automobiles, buses and trains) to provide transport services. The demand scenario presented in this paper is based on two empirically proven invariances of human behavior. First, transport accounts for 10 to 15 percent of household total expenditures for those owning an automobile, and around 5 percent for non-motorized households on average (travel money budget). Second, the mean time spent traveling is approximately one hour per capita per day (travel time budget). These two budgets constraints determine the dynamics of the scenario: rising income increases per capita expenditure on travel which, in turn, increase demand for mobility. Limited travel time constraints travelers to shift to faster transport systems. The scenario is initiated with the first integrated historical data set on traffic volume in 11 world regions and the globe from 1960 to 1990 for all major modes of motorized transport. World average per capita traffic volume, which was 1,800 kilometers in 1960 and 4,2090 in 1990, is estimated to rise to 7,900 kilometers in 2020 - given a modest average increase in Gross World Product of 1.9% per year. Higher economic growth rates in Asian regions result in an increase in regional per capita traffic volume up to a factor of 5.3 from 1990 levels. Modal splits continue shifting to more flexible and faster modes of transport. At one point, passenger cars can no longer satisfy the increasing demand for speed (i.e. rising mobility within a fixed time budget). In North America it is estimated that the absolute traffic volume of automobiles will gradually decline starting in the 2010s. (author) 13 figs., 6 tabs., 35 refs.

Price sensitive demand with random sales price - a newsboy problem

Science.gov (United States)

Sankar Sana, Shib

2012-03-01

Up to now, many newsboy problems have been considered in the stochastic inventory literature. Some assume that stochastic demand is independent of selling price (p) and others consider the demand as a function of stochastic shock factor and deterministic sales price. This article introduces a price-dependent demand with stochastic selling price into the classical Newsboy problem. The proposed model analyses the expected average profit for a general distribution function of p and obtains an optimal order size. Finally, the model is discussed for various appropriate distribution functions of p and illustrated with numerical examples.

DEMAND FOR TURKEY MEAT: PRICE EFFECT OR SPENDING EFFECT

Directory of Open Access Journals (Sweden)

Miguel Angel Martinez Damian

2016-08-01

Full Text Available Turkey meat is a white meat demand in Mexico, however, its consumption is still low. In order to explore the convenience of expanding the market and foresee if the industry should compete in price or expenditure, the aim of this work is to study the demand for turkey meat as part of a protein basket; that consists of beef, chicken, pork and egg. Methodologically an almost ideal demand model was used, in an economic sense, this model allows an optimal assignment representation through budget share equations as a function of prices and real expenditure within the bundle. With statistical information from secondary sources, the results showed that the demand for turkey meat responds inelastically to price, and that the response on spending is almost one. With the estimates of price and expenditure growth rates, in terms of an expansion policy in the turkey market, results conclude that spending is the most relevant factor in demand, followed to a lesser extent by price.

Response of pressurized water reactor (PWR) to network power generation demands

International Nuclear Information System (INIS)

Schreiner, L.A.

1991-01-01

The flexibility of the PWR type reactor in terms of response to the variations of the network power demands, is demonstrated. The factors that affect the transitory flexibility and some design prospects that allow the reactor fits the requirements of the network power demands, are also discussed. (M.J.A.)

INFLUENCE OF SUPPLY AND DEMAND FACTORS AT THE DEVELOPMENT OF ENVIRONMENTALLY RESPONSIBLE HOUSING AND UTILITIES SECTOR IN THE RUSSIAN FEDERATION

Directory of Open Access Journals (Sweden)

Natalia B. Safronova

2016-11-01

Full Text Available Empirical marketing regional research on supply and demand factors of housing and communal services (HCS revealed determinants of customer loyalty and satisfaction with the service level and factors influencing on willingness to purchase additional services. Specific features of housing and utilities sector (HUS as a social significant industry determine requirements to models reflecting reciprocal influence of indices of satisfaction, loyalty and economic indices of operation. The article presents definition of requirements along with development of techniques for modeling influence of satisfaction and loyalty on consumer behaviour of clients. The authors demonstrate trustworthy statistical results of correlative interrelationship of different factors. There have been designed regression models for taking management solutions by executives of management company housing and communal services at the development environmental responsibility. The causes that lead and hamper development of socially oriented services in different regions of the Russian Federation have been identified.

Tourism Demand and Agriculture Supply: Basis for Agritourism Development in Quezon Province

Directory of Open Access Journals (Sweden)

Nichole Ann A. Lago

2017-05-01

Full Text Available Establishing the tourism and agriculture linkage is a vital factor for the promotion of agri - tourism. This study aimed to determine the tourism and agriculture factors in Quezon province . Specifically, to present the profile of tourists and farmers; determine the supply and demand – related factors influencing the linkage between tourism and agriculture; test the significant difference in the responses of tourists and farmers in terms of su pply and demand related factors; test the significant differences on the supply and demand related factors when grouped according to profile; test the significant relationship between tourists’ motivation and preferences and propose an action plan for agri - tourism development in Quezon. This study used descriptive design with farmers and tourist as respondents. Self - made questionnaire was utilized as data gathering instrument. Percentage, frequency distribution, weighted mean, T - Test, ANOVA and Pearson - r co rrelation were the statistical tools used. Based on the result, it was revealed that tourism and agriculture linkages in Quezon province were relatively strong. Educational attainment of farmers is an important factor for agriculture supply, civil status a nd income were found to be the major indicators of tourist demands while safety and security becomes the major consideration of tourists to visit agritourism sites. It is recommended that there is a need to educat e farmers in order to encourage diversifica tion of farms into agri - tourism wherein market segmentation is vital for agri - tourism promotion while fostering a community - based agri - tourism in Quezon province is likewise highly recommende

Optometric supply and demand in Australia: 2001-2031.

Science.gov (United States)

Kiely, Patricia M; Healy, Ernest; Horton, Peregrine; Chakman, Joseph

2008-07-01

Major influences on health workforce supply include factors such as graduate numbers, retention rates and immigration. This report presents a model of the relationship of the projected Australian optometric workforce and projected optometric service demand for the period 2001 to 2031. Two contrasting hypothetical optometric supply-side scenarios are presented. Data from the Australian Bureau of Statistics on age and gender of people listing optometry as their major qualification in the 2001 census were projected over a 30-year period, accounting for factors such as ageing, attrition, new graduates and migration. Data were compared to the numbers of optometrists calculated as necessary to meet the demand for services of the Australian population to 2031. The projections indicated that in 2031, there would be 4,072 equivalent full-time optometrists, an excess of 6.9 per cent compared with demand and that of these 38 per cent would be female. Application of a 'high' growth scenario, based on increases in the proportion of optometrists in active practice, working hours by females and graduate and immigrant numbers, resulted in a projected oversupply of up to 30 per cent. Use of a 'low' growth scenario, based on decreases in the proportion of optometrists in active practice, working hours, graduate and immigrant numbers, resulted in a projected undersupply of at least 21.5 per cent. Projected numbers of optometrists using current weightings for mortality, attrition, proportion of optometrists in active practice, working hours, immigration and new graduates indicate that in 2031, there will be adequate numbers of optometrists to meet the demand for services, if service utilisation is maintained at current levels or increased slightly. The adequacy of projected numbers varies considerably if alterations are made to the weighting factors using 'high' and 'low' growth scenarios.

Sensitivity Analysis Of Financing Demand In Syariah Banking

Directory of Open Access Journals (Sweden)

DR. HJ. ROSYETTI

2017-11-01

Full Text Available This study aims to analyze the Sensitivity of Demand Financing in syariah banking with a focus on the elasticity of financing demand income elasticity and cross elasticity. The type of data used in this study is secondary data quantitative and time series obtained from the publication of BPS BI and OJK. The data analysis technique begins by estimating multiple linear regression equations using the Eviews Application further measuring the sensitivity using elasticity. The research variables consist of revenue gross domestic product and conventional bank interest rate as independent variables and demand for financing as a dependent variable. The results obtained for the results gross domestic product and interest rate of conventional banks simultaneously affect the demand for financing in Islamic banking with a significant level of 5 obtained probability value F statistic amp945 005. Partially revenue share and gross domestic product have a significant effect on demand for financing. While the variable interest rate of conventional banks partially does not have a significant effect on demand for financing in Islamic banking. The ability of the three independent variables to explain the dependent variable of 99.06 the rest of 0.04 influenced by other factors outside this study. The sensitive value of demand for financing in syariah banking during the observation period was 3.94 amp400P 1 so that it can be said that demand for financing in syariah banking is elastic. The elasticity of income demand for financing in syariah banking during the observation period of 3.08 amp400I 1 is categorized as luxuries goods. The cross elasticity value of financing demand in syariah banking during the observation period is 0.52 or positive amp400C 0 it can be categorized that the interest rate of a conventional bank is a substitute of profit sharing.

Factors Influencing Demand for a Producer-Owned Beef Retail Outlet

OpenAIRE

Lusk, Jayson L.; Cevallos, Edgar

2004-01-01

As the farm-to-retail price spread continues to grow, come cattle producers a beginning to consider integrating into the retail sector. Such a venture would require large investments in capital with uncertain return. This study seeks to determine the potential success of a stand-alone retail outlet selling “all natural†beef in an affluent area of Jackson, MS. Using choice-based conjoint analysis, demand for the new retail outlet is modeled as a function of the beef price at the store, dis...

The world energy demand in 2007: How high oil prices impact the global energy demand? June 9, 2008

International Nuclear Information System (INIS)

2008-01-01

How high oil prices impact the global energy demand? The growth of energy demand continued to accelerate in 2007 despite soaring prices, to reach 2,8 % (+ 0,3 point compared to 2006). This evolution results from two diverging trends: a shrink in energy consumption in most of OECD countries, except North America, and a strong increase in emerging countries. Within the OECD, two contrasting trends can be reported, that compensate each other partially: the reduction of energy consumption in Japan (-0.8%) and in Europe (-1.2%), particularly significant in the EU-15 (-1.9%); the increase of energy consumption in North America (+2%). Globally, the OECD overall consumption continued to increase slightly (+0.5%), while electricity increased faster (2,1%) and fuels remained stable. Elsewhere, the strong energy demand growth remained very dynamic (+5% for the total demand, 8% for electricity only), driven by China (+7.3%). The world oil demand increased by 1% only, but the demand has focused even more on captive end usages, transports and petrochemistry. The world gasoline and diesel demand increased by around 5,7% in 2007, and represents 53% of the total oil products demand in 2007 (51% in 2006). If gasoline and diesel consumption remained quasi-stable within OECD countries, the growth has been extremely strong in the emerging countries, despite booming oil prices. There are mainly two factors explaining this evolution where both oil demand and oil prices increased: Weak elasticity-prices to the demand in transport and petrochemistry sectors Disconnection of domestic fuel prices in major emerging countries (China, India, Latin America) compared to world oil market prices Another striking point is that world crude oil and condensate production remained almost stable in 2007, hence the entire demand growth was supported by destocking. During the same period, the OPEC production decreased by 1%, mainly due to the production decrease in Saudi Arabia, that is probably more

Religion, Ethnicity and Geography: A Cross-Cultural Analysis of Demand for Education in Ghana

DEFF Research Database (Denmark)

Blunch, Niels-Hugo

2003-01-01

Most cross-cultural research of demand behavior is focused at cross-country studies. For Sub-Saharan Africa, however, the fact that the borders were more or less arbitrarily drawn by the colonial powers suggests that demand behavior - including the demand for education - in this context are more...... affected by within country factors such as ethnicity, geographical location and religion. On this premise, we analyze the demand for education in Ghana from a cross-cultural perspective. A substantial share of Ghanaian youth and young adults has never attended school. As education is an important vehicle...... for economic development this is (or should be) a point of concern to both the national government and international development organizations. On this background, this study analyzes the demand for education in Ghana to try to understand the main factors underlying this. The focus is on cross...

Modelling demand for crude oil products in Spain

International Nuclear Information System (INIS)

Pedregal, D.J.; Dejuan, O.; Gomez, N.; Tobarra, M.A.

2009-01-01

This paper develops an econometric model for the five most important crude oil products demand in Spain. The aim is the estimation of a range of elasticities of such demands that would serve as the basis for an applied general equilibrium model used for forecasting energy demand in a broader framework. The main distinctive features of the system with respect to previous literature are (1) it takes advantage of monthly information coming from very different information sources and (2) multivariate unobserved components (UC) models are implemented allowing for a separate analysis of long- and short-run relations. UC models decompose time series into a number of unobserved though economic meaningful components mainly trend, seasonal and irregular. A module is added to such structure to take into account the influence of exogenous variables necessary to compute price, cross and income elasticities. Since all models implemented are multivariate in nature, the demand components are allowed to interact among them through the system noises (similar to a seemingly unrelated equations model). The results show unambiguously that the main factor driving demand is real income with prices having little impact on energy consumption. (author)

Modelling demand for crude oil products in Spain

Energy Technology Data Exchange (ETDEWEB)

Pedregal, D.J. [Escuela Tecnica Superior de Ingenieros Industriales and Instituto de Matematica Aplicada a la Ciencia y la Ingenieria (IMACI), Universidad de Castilla-La Mancha (UCLM), Avenida Camilo Jose Cela s/n, 13071 Ciudad Real (Spain); Dejuan, O.; Gomez, N.; Tobarra, M.A. [Facultad de Ciencias Economicas y Empresariales, Universidad de Castilla-La Mancha (UCLM) (Spain)

2009-11-15

This paper develops an econometric model for the five most important crude oil products demand in Spain. The aim is the estimation of a range of elasticities of such demands that would serve as the basis for an applied general equilibrium model used for forecasting energy demand in a broader framework. The main distinctive features of the system with respect to previous literature are (1) it takes advantage of monthly information coming from very different information sources and (2) multivariate unobserved components (UC) models are implemented allowing for a separate analysis of long- and short-run relations. UC models decompose time series into a number of unobserved though economic meaningful components mainly trend, seasonal and irregular. A module is added to such structure to take into account the influence of exogenous variables necessary to compute price, cross and income elasticities. Since all models implemented are multivariate in nature, the demand components are allowed to interact among them through the system noises (similar to a seemingly unrelated equations model). The results show unambiguously that the main factor driving demand is real income with prices having little impact on energy consumption. (author)

The prospects for oil prices, supply and demand

International Nuclear Information System (INIS)

Al-Fathi, S.A.

1991-01-01

The major factors that have influenced price developments are briefly discussed. The future course of oil prices and the supply/demand fundamentals that are likely to influence them will be reviewed in the light of OPEC producers' quest for stability in the market and the maintenance of the role of oil in the energy spectrum. The environment and climate change debate is likely to influence development in the energy and oil markets for a long time to come. Its impact on oil demand is thus discussed, together with its implication for oil prices. (author)

Calculating load factors for the transatlantic airline market using supply and demand data: a note on the identification of gaps in the available airline statistics

NARCIS (Netherlands)

Devriendt, L.; Burghouwt, G.; Derudder, B.; de Wit, J.; Witlox, F.

2009-01-01

This paper takes a critical view of the verification of load factors for the direct transatlantic airline market by combining supply and demand-data. The supply-related data originate from the Official Airline Guide, a well-known data source that contains information on scheduled flights. The

Prediction on the charging demand for electric vehicles in Chengdu

Science.gov (United States)

yun, Cai; wanquan, Zhang; wei, You; pan, Mao

2018-03-01

The development of the electric vehicle charging station facilities speed directly affect the development of electric vehicle speed. And the charging demand of electric vehicles is one of the main factors influencing the electric vehicle charging facilities. The paper collected and collated car ownership in recent years, the use of elastic coefficient to predict Chengdu electric vehicle ownership, further modeling to give electric vehicle charging demand.

Integrating Land Use and Socioeconomic Factors into Scenario-Based Travel Demand and Carbon Emission Impact Study

Science.gov (United States)

Urban sprawl continues since the last century, leading to a rapid increase in automobile ownership and vehicle travel demand, while resulting in more traffic congestion and automobile emissions. Land use, serving as a source of travel demand, can significantly impact travel behav...

Holidays in lights: Tracking cultural patterns in demand for energy services

Science.gov (United States)

Román, Miguel O.; Stokes, Eleanor C.

2015-06-01

Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

Holiday in Lights: Tracking Cultural Patterns in Demand for Energy Services

Science.gov (United States)

Roman, Miguel O.; Stokes, Eleanor C.

2015-01-01

Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

Dimensional structure of the demand control support questionnaire: a Brazilian context.

Science.gov (United States)

Hökerberg, Yara Hahr Marques; Aguiar, Odaleia Barbosa; Reichenheim, Michael; Faerstein, Eduardo; Valente, Joaquim Gonçalves; Fonseca, Maria de Jesus; Passos, Sonia Regina Lambert

2010-04-01

According to Karasek, job strain results from an interaction between high demands and low decision latitude. To reassess the dimensional structure and evaluate the internal consistency of demand control support questionnaire (DCSQ), a shortened version of job content questionnaire that was not sufficiently evaluated in validation studies. The study investigated 825 workers who completed the DCSQ in Rio de Janeiro, Brazil; to 399 workers, the questionnaire was self-administered at a hospital (2004-2005), and 426 workers were interviewed at nine restaurants (2006-2007). Confirmatory factor analysis using structural equation models was used to test theoretical structure of dimensionality. Internal consistency was evaluated by composite reliability and convergent validity by average variance extracted. Confirmatory factor analysis supported the instrument in three dimensions: demands, skill discretion and decision authority. The best fit model was achieved by removing social support at work and the item repetitive work (skill discretion). A cross-loading from learning new things on demands and an error measurement correlation between work fast and work intense were confirmed. Composite reliability was acceptable for all dimensions, except for demands (0.58), which also showed inadequate average variance extracted (0.32). This final model was confirmed in separate analyses according to work setting, but the loadings of demands were lower for restaurant workers. Our results indicated that skill discretion and decision authority formed two distinct dimensions. Additionally, the item repetitive work should be removed, as well as one of the items work fast or work intense (demands). Future research is still required to confirm these findings.

Transportation Energy Futures Series: Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future

Energy Technology Data Exchange (ETDEWEB)

Grenzeback, L. R.; Brown, A.; Fischer, M. J.; Hutson, N.; Lamm, C. R.; Pei, Y. L.; Vimmerstedt, L.; Vyas, A. D.; Winebrake, J. J.

2013-03-01

Freight transportation demand is projected to grow to 27.5 billion tons in 2040, and to nearly 30.2 billion tons in 2050. This report describes the current and future demand for freight transportation in terms of tons and ton-miles of commodities moved by truck, rail, water, pipeline, and air freight carriers. It outlines the economic, logistics, transportation, and policy and regulatory factors that shape freight demand, the trends and 2050 outlook for these factors, and their anticipated effect on freight demand. After describing federal policy actions that could influence future freight demand, the report then summarizes the capabilities of available analytical models for forecasting freight demand. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation.

Serum brain-derived neurotrophic factor and interleukin-6 response to high-volume mechanically demanding exercise.

Science.gov (United States)

Verbickas, Vaidas; Kamandulis, Sigitas; Snieckus, Audrius; Venckunas, Tomas; Baranauskiene, Neringa; Brazaitis, Marius; Satkunskiene, Danguole; Unikauskas, Alvydas; Skurvydas, Albertas

2018-01-01

The aim of this study was to follow circulating brain-derived neurotrophic factor (BDNF) and interleukin-6 (IL-6) levels in response to severe muscle-damaging exercise. Young healthy men (N = 10) performed a bout of mechanically demanding stretch-shortening cycle exercise consisting of 200 drop jumps. Voluntary and electrically induced knee extension torque, serum BDNF levels, and IL-6 levels were measured before and for up to 7 days after exercise. Muscle force decreased by up to 40% and did not recover by 24 hours after exercise. Serum BDNF was decreased 1 hour and 24 hours after exercise, whereas IL-6 increased immediately and 1 hour after but recovered to baseline by 24 hours after exercise. IL-6 and 100-Hz stimulation torque were correlated (r = -0.64, P exercise. In response to acute, severe muscle-damaging exercise, serum BDNF levels decrease, whereas IL-6 levels increase and are associated with peripheral fatigue. Muscle Nerve 57: E46-E51, 2018. © 2017 Wiley Periodicals, Inc.

Electricity demand in France: what's at stake for the energy transition?

International Nuclear Information System (INIS)

Berghmans, Nicolas

2017-02-01

This study identifies five key issues linked to electricity consumption to be taken into consideration in the management of the French power system transition: articulating the building stock renovation strategy and electricity consumption; integrating demand for electricity stemming from the development of electric vehicles; addressing winter 'peak' demand with specific demand-side policies; establishing energy demand management economic models as a flexible solution for the power system; identifying the impact of the emergence of a power system that is decentralised, balanced locally and connected with other energy carriers on the nature of demand for power from the grid. In the context of weak economic and demographic growth, the recent stabilization of electricity demand in France can be attributed to 'structural' factors, i.e. the continued expansion of the tertiary sector in the economy and the acceleration in energy efficiency gains. This evolution was poorly anticipated by stakeholders in the sector, which contributed to an imbalance between electricity demand and supply in Europe. In the absence of a major disruption, planning for transition in the electrical system should be made assuming relatively stable demand. However, major transformations will change the nature of the requirements placed on the electricity system: the times at which energy is consumed, the ability to manage the demand side of the system, and the geographical location of electricity demand within the network. Five key challenges are identified to anticipate the development of electricity consumption patterns: the role of electricity in satisfying building sector heating requirements, the integration of electric vehicle charging, the evolution of the winter demand peak, the development of demand-side management, and the emergence of an electric system based on local-level balancing. Too often considered an exogenous factor, the development in electricity consumption is in fact central

A model of entry-exit decisions and capacity choice under demand uncertainty

OpenAIRE

Isik, Murat; Coble, Keith H.; Hudson, Darren; House, Lisa O.

2003-01-01

Many investment decisions of agribusiness firms, such as when to invest in an emerging market or whether to expand the capacity of the firm, involve irreversible investment and uncertainty about demand, cost or competition. This paper uses an option-value model to examine the factors affecting an agribusiness firm's decision whether and how much to invest in an emerging market under demand uncertainty. Demand uncertainty and irreversibility of investment make investment less desirable than th...

Main Determinants of Supplementary Health Insurance Demand: (Case of Iran)

Science.gov (United States)

Motlagh, Soraya Nouraei; Gorji, Hassan Abolghasem; Mahdavi, Ghadir; Ghaderi, Hossein

2015-01-01

Introduction: In the majority of developing countries, the volume of medical insurance services, provided by social insurance organizations is inadequate. Thus, supplementary medical insurance is proposed as a means to address inadequacy of medical insurance. Accordingly, in this article, we attempted to provide the context for expansion of this important branch of insurance through identification of essential factors affecting demand for supplementary medical insurance. Method: In this study, two methods were used to identify essential factors affecting choice of supplementary medical insurance including Classification and Regression Trees (CART) and Bayesian logit. To this end, Excel® software was used to refine data and R® software for estimation. The present study was conducted during 2012, covering all provinces in Iran. Sample size included 18,541 urban households, selected by Statistical Center of Iran using 3-stage cluster sampling approach. In this study, all data required were collected from the Statistical Center of Iran. Results: In 2012, an overall 8.04% of the Iranian population benefited from supplementary medical insurance. Demand for supplementary insurance is a concave function of age of the household head, and peaks in middle-age when savings and income are highest. The present study results showed greater likelihood of demand for supplementary medical insurance in households with better economic status, higher educated heads, female heads, and smaller households with greater expected medical expenses, and household income is the most important factor affecting demand for supplementary medical insurance. Conclusion: Since demand for supplementary medical insurance is hugely influenced by households’ economic status, policy-makers in the health sector should devise measures to improve households’ economic or financial access to supplementary insurance services, by identifying households in the lower economic deciles, and increasing their

Energy efficiency and demand respond programs play vital roles in short- and long-term system reliability

Energy Technology Data Exchange (ETDEWEB)

Mitola, J. P.

2003-12-01

The effects of deregulation of the electric power industry on the reliability of the power grid in the United States are examined. Three major factors -- customer load, utility infrastructure, and demand response -- together are suggested as being most important; the ability of the industry to maintain the equilibrium among these three factors will determine the success or failure of deregulation. Each of these factors are examined in turn, followed by recommendations encouraging demand response or energy efficiency innovations, particularly new demand response technologies that are reliable, measurable, competitive to end-users, and fully dispatchable to utilities.

The future prospects of supply and demand for urologists in Korea.

Science.gov (United States)

Oh, Youngho

2017-11-01

The purpose of this study was to forecast the future supply and demand for urologists and to discuss the possible policy implications. A demographic utilization-based model was used to calculate the total urologist requirements for Korea. Utilization rates for ambulatory and inpatient genitourinary specialty services were estimated according to age, sex, and insurance status. These rates were used to estimate genitourinary specialty-specific total service utilization expressed in patient care minutes for future populations and converted to genitourinary physician requirements by applying per-genitourinary-physician productivity estimates. An in-and-out movement model for urologist supply was used. Depending on assumptions about data at each step in the method, the supply of urologic surgeons is expected to exceed the demand by 2025 under the current enrollment rate of specialists (43.5% in 2012) when comparing the results of the projections under demand scenarios 3 and 4. However, if the current enrollment rate persists, the imbalance in supply and demand will be not severe by 2030. The degree of imbalance can be alleviated by 2030 by maintaining the current occupancy rate of urologic residents of 43.5%. This study shows that the number of residents needs to be reduced according to the supply and demand for urologic surgeons. Moreover, a policy should be established to maintain the current occupancy rate of residents. The factors affecting the supply and demand of urologic surgeons are complicated. Thus, comprehensive policies encompassing these factors should be established with appropriate solutions.

An analysis of short haul air passenger demand, volume 2

Science.gov (United States)

Blumer, T. P.; Swan, W. M.

1978-01-01

Several demand models for short haul air travel are proposed and calibrated on pooled data. The models are designed to predict demand and analyze some of the motivating phenomena behind demand generation. In particular, an attempt is made to include the effects of competing modes and of alternate destinations. The results support three conclusions: (1) the auto mode is the air mode's major competitor; (2) trip time is an overriding factor in intermodal competition, with air fare at its present level appearing unimportant to the typical short haul air traveler; and (3) distance appears to underly several demand generating phenomena, and therefore, must be considered very carefully to any intercity demand model. It may be the cause of the wide range of fare elasticities reported by researchers over the past 15 years. A behavioral demand model is proposed and calibrated. It combines the travel generating effects of income and population, the effects of modal split, the sensitivity of travel to price and time, and the effect of alternative destinations satisfying the trip purpose.

Home Network Technologies and Automating Demand Response

Energy Technology Data Exchange (ETDEWEB)

McParland, Charles

2009-12-01

Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively

Cost-utility analysis of immune tolerance induction therapy versus on-demand treatment with recombinant factor VII for hemophilia A with high titer inhibitors in Iran

Directory of Open Access Journals (Sweden)

Rasekh HR

2011-11-01

Full Text Available Hamid Reza Rasekh1, Ali Imani1, Mehran Karimi2, Mina Golestani11Shahid Beheshti University of Medical Sciences, Department of Pharmaceutical Management and Pharmacoeconomics, School of Pharmacy, Tehran, 2University of Shiraz Medical Sciences, Hematology Research Center, Shiraz, IranBackground: In developing countries, the treatment of hemophilia patients with inhibitors is presently the most challenging and serious issue in hemophilia management, direct costs of clotting factor concentrates accounting for >98% of the highest economic burden absorbed for the health care of patients in this setting. In the setting of chronic diseases, cost-utility analysis, which takes into account the beneficial effects of a given treatment/health care intervention in terms of health-related quality of life, is likely to be the most appropriate approach.Objective: The aim of this study was to assess the incremental cost-effectiveness ratios of immune tolerance induction (ITI therapy with plasma-derived factor VIII concentrates versus on-demand treatment with recombinant-activated FVIIa (rFVIIa in hemophilia A with high titer inhibitors from an Iranian Ministry of Health perspective.Methods: This study was based on the study of Knight et al, which evaluated the cost-effectiveness ratios of different treatments for hemophilia A with high-responding inhibitors. To adapt Knight et al's results to the Iranian context, a few clinical parameters were varied, and cost data were replaced with the corresponding Iranian estimates of resource use. The time horizon of the analysis was 10 years. One-way sensitivity analyses were performed, varying the cost of the clotting factor, the drug dose, and the administration frequency, to test the robustness of the analysis.Results: Comparison of the incremental cost-effectiveness ratios between the three ITI protocols and the on-demand regimen with rFVIIa shows that all three ITI protocols dominate the on-demand regimen with r

Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand

Directory of Open Access Journals (Sweden)

Baodeng Hou

2018-05-01

Full Text Available Although the quantity of household water consumption does not account for a huge proportion of the total water consumption amidst socioeconomic development, there has been a steadily increasing trend due to population growth and improved urbanization standards. As such, mastering the mechanisms of household water demand, scientifically predicting trends of household water demand, and implementing reasonable control measures are key focuses of current urban water management. Based on the categorization and characteristic analysis of household water, this paper used Maslow’s Hierarchy of Needs to establish a level and grade theory of household water demand, whereby household water is classified into three levels (rigid water demand, flexible water demand, and luxury water demand and three grades (basic water demand, reasonable water demand, and representational water demand. An in-depth analysis was then carried out on the factors that influence the computation of household water demand, whereby equations for different household water categories were established, and computations for different levels of household water were proposed. Finally, observational experiments on household water consumption were designed, and observation and simulation computations were performed on three typical households in order to verify the scientific outcome and rationality of the computation of household water demand. The research findings contribute to the enhancement and development of prediction theories on water demand, and they are of high theoretical and realistic significance in terms of scientifically predicting future household water demand and fine-tuning the management of urban water resources.

Electric utilities and the demand for natural gas

Energy Technology Data Exchange (ETDEWEB)

Uri, N D; Atkinson, S

1976-03-01

The scarcity of natural gas has given rise to a series of priorities of deliveries based on end use and drafted by the Federal Power Commission. The U.S. Supreme Court, on June 7, 1972, held that the Commission has jurisdiction over curtailments in the service of gas in interstate commerce to both resale and direct industrial customers. This decision reversed a Fifth Circuit Court ruling that protected direct industrial customers from curtailments. The FPC priority curtailments are classed from 1 to 9, for which electric utilities are concentrated in classes 4 to 9. As weather conditions become more severe, not only do the residential and commercial consumers demand more electrical energy, they also demand more natural gas. The result is that there is less natural gas available for electric utilities to use for generation so they change to an alternative fuel. A demand model for the short term for natural gas for electric utilities is given; primary factors involve the price of natural gas, the prices of substitute fuels, and the demand for electrical energy by the various consumer classes. (MCW)

Using Adaptive Neural-Fuzzy Inference Systems (ANFIS for Demand Forecasting and an Application

Directory of Open Access Journals (Sweden)

Onur Doğan

2016-06-01

Full Text Available Due to the rapid increase in global competition among organizations and companies, rational approaches in decision making have become indispensable for organizations in today’s world. Establishing a safe and robust path through uncertainties and risks depends on the decision units’ ability of using scientific methods as well as technology. Demand forecasting is known to be one of the most critical problems in organizations.  A company which supports its demand forecasting mechanism with scientific methodologies could increase its productivity and efficiency in all other functions. New methods, such as fuzzy logic and artificial neural networks are frequently being used as a decision-making mechanism in organizations and companies recently.  In this study, it is aimed to solve a critical demand forecasting problem with ANFIS. In the first phase of the study, the factors which impact demand forecasting are determined, and then a database of the model is established using these factors. It has been shown that ANFIS could be used for demand forecasting.

Asian oil demand

International Nuclear Information System (INIS)

Fesharaki, F.

2005-01-01

This conference presentation examined global oil market development and the role of Asian demand. It discussed plateau change versus cyclical movement in the global oil market; supply and demand issues of OPEC and non-OPEC oil; if high oil prices reduce demand; and the Asian oil picture in the global context. Asian oil demand has accounted for about 50 per cent of the global incremental oil market growth. The presentation provided data charts in graphical format on global and Asia-Pacific incremental oil demand from 1990-2005; Asia oil demand growth for selected nations; real GDP growth in selected Asian countries; and, Asia-Pacific oil production and net import requirements. It also included charts in petroleum product demand for Asia-Pacific, China, India, Japan, and South Korea. Other data charts included key indicators for China's petroleum sector; China crude production and net oil import requirements; China's imports and the share of the Middle East; China's oil exports and imports; China's crude imports by source for 2004; China's imports of main oil products for 2004; India's refining capacity; India's product balance for net-imports and net-exports; and India's trade pattern of oil products. tabs., figs

Modelling transport energy demand: A socio-technical approach

International Nuclear Information System (INIS)

Anable, Jillian; Brand, Christian; Tran, Martino; Eyre, Nick

2012-01-01

Despite an emerging consensus that societal energy consumption and related emissions are not only influenced by technical efficiency but also by lifestyles and socio-cultural factors, few attempts have been made to operationalise these insights in models of energy demand. This paper addresses that gap by presenting a scenario exercise using an integrated suite of sectoral and whole systems models to explore potential energy pathways in the UK transport sector. Techno-economic driven scenarios are contrasted with one in which social change is strongly influenced by concerns about energy use, the environment and well-being. The ‘what if’ Lifestyle scenario reveals a future in which distance travelled by car is reduced by 74% by 2050 and final energy demand from transport is halved compared to the reference case. Despite the more rapid uptake of electric vehicles and the larger share of electricity in final energy demand, it shows a future where electricity decarbonisation could be delayed. The paper illustrates the key trade-off between the more aggressive pursuit of purely technological fixes and demand reduction in the transport sector and concludes there are strong arguments for pursuing both demand and supply side solutions in the pursuit of emissions reduction and energy security.

A Hybrid Approach on Tourism Demand Forecasting

Science.gov (United States)

Nor, M. E.; Nurul, A. I. M.; Rusiman, M. S.

2018-04-01

Tourism has become one of the important industries that contributes to the country’s economy. Tourism demand forecasting gives valuable information to policy makers, decision makers and organizations related to tourism industry in order to make crucial decision and planning. However, it is challenging to produce an accurate forecast since economic data such as the tourism data is affected by social, economic and environmental factors. In this study, an equally-weighted hybrid method, which is a combination of Box-Jenkins and Artificial Neural Networks, was applied to forecast Malaysia’s tourism demand. The forecasting performance was assessed by taking the each individual method as a benchmark. The results showed that this hybrid approach outperformed the other two models

The impact of point-of-sale data in demand planning in the South African clothing retail industry

Directory of Open Access Journals (Sweden)

Douglas N. Raza

2017-08-01

Full Text Available Background: In modern days’ dynamic consumer markets, supply chains need to be value driven and consumer oriented. Demand planning allows supply chain members to focus on the consumer and create optimal value. In demand planning, Point-of-Sale (POS data are an essential input to the process thereof; however, literature suggests that POS-based demand planning is often overlooked by demand planners in practice. Objective: The main purpose of this study was to determine the extent to which South African clothing retailers use POS data in demand planning. Method: This study followed the grounded theory approach based on the collection of qualitative data. The data collected was analysed following the grounded theory analysis using codes that resulted in various categories which then developed into themes. Findings: Findings suggest that companies within the clothing retail industry make considerable use of POS data and is a fundamental input factor in the demand planning process. However, this study also found that POS data cannot be applied in the planning for all types of clothing products, and that there are variables other than POS data that form a critical part of the demand planning process. Conclusion: POS data plays a fundamental role is the demand planning process and should be accurately collected and used with other qualitative and quantitative factors as an input factor to the demand planning process. The role of POS data in demand planning is expected to grow as customers are becoming increasingly demanding concerning customer service levels.

The experience of demanding work environments in younger workers

DEFF Research Database (Denmark)

Winding, Trine Nøhr; Labriola, Merete; Nohr, Ellen Aagaard

2015-01-01

younger workers aged 20-21. The psychosocial work environment was in general good but younger workers experienced more demanding physical work than the general working population. Overall, individual as well as family factors had a limited impact on their assessment of the work environment. Low self-esteem...... at age 20-21. The psychosocial work environment experienced by younger workers was generally good, but vulnerable young people may need special attention to protect them from or prepare them for psychosocially demanding jobs later in life....

Explaining worker strain and learning: how important are emotional job demands?

Science.gov (United States)

Taris, Toon W; Schreurs, Paul J G

2009-05-01

This study examined the added value of emotional job demands in explaining worker well-being, relative to the effects of task characteristics, such as quantitative job demands, job control, and coworker support. Emotional job demands were expected to account for an additional proportion of the variance in well-being. Cross-sectional data were obtained from 11,361 female Dutch home care employees. Hierarchical stepwise regression analysis demonstrated that low control, low support and high quantitative demands were generally associated with lower well-being (as measured in terms of emotional exhaustion, dedication, professional accomplishment and learning). Moreover, high emotional demands were in three out of four cases significantly associated with adverse well-being, in these cases accounting for an additional 1-6% of the variance in the outcome variables. In three out of eight cases the main effects of emotional demands on well-being were qualified by support and control, such that high control and high support either buffered the adverse effects of high emotional demands on well-being or increased the positive effects thereof. All in all, high emotional demands are as important a risk factor for worker well-being as well-established concepts like low job control and high quantitative job demands.

The Rise of Red and the Wane of White: Wine Demand in Ontario Canada

OpenAIRE

Dyack, Brenda; Goddard, Ellen W.

2001-01-01

Health Information is found to be a significant determinant of demand for white and red table wine using a two stage translog demand system model of wine demand in Ontario, Canada over the period 1985 to 1998. However, aging of the population seems to be the greatest factor affecting the shift from white to red wine over the study period.

Influence of the demand information quality on planning process accuracy in supply chain. Case studies

OpenAIRE

Natalia Szozda; Sylwia Werbińska-Wojciechowska

2013-01-01

Background: Identification and analysis of factors that affect the accuracy of demand planning process across the supply chain is one of the most important problems which influence the effectiveness of its material and information flows. Material and methods: On the basis of demand planning process investigation authors define the main elements affecting the right supply chain performance level and investigate the possible connections between demand information quality and demand plannin...

Exploring the condom gap: is supply or demand the limiting factor - condom access and use in an urban and a rural setting in Kilifi district, Kenya.

Science.gov (United States)

Papo, Jacqueline K; Bauni, Evasius K; Sanders, Eduard J; Brocklehurst, Peter; Jaffe, Harold W

2011-01-14

to explore the extent of the condom gap, investigating the relative roles of supply-side and demand-side factors in determining condom use. GPS mapping of condom outlets, and population-based survey. an urban and a rural site were selected within the Epidemiological and Demographic Surveillance Site in Kilifi district, Kenya. Potential condom outlets (n = 281) were mapped and surveyed, and questionnaires on condom access and use (n = 630) were administered to a random sample of men and women aged 15-49. Multivariate logistic regression was performed to assess the relative roles of supply-side and demand-side barriers on condom use. the median straight-line distance to free condoms was 18-fold higher in the rural versus urban site. Among sexually active respondents, 42% had ever used a condom, and 23% had used a condom over the past 12 months, with lower levels among rural versus urban respondents (P supply-side or demand-side barriers, compared with individuals experiencing both types of barriers. Despite low levels of usage and the presence of supply-side and demand-side barriers, reported unmet need for condoms was low. there is an urgent need for renewed condom promotion efforts aimed at building demand, in addition to improving physical access, in resource-limited settings with generalized HIV epidemics in sub-Saharan Africa. 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins.

The future prospects of supply and demand for urologists in Korea

Science.gov (United States)

2017-01-01

Purpose The purpose of this study was to forecast the future supply and demand for urologists and to discuss the possible policy implications. Materials and Methods A demographic utilization-based model was used to calculate the total urologist requirements for Korea. Utilization rates for ambulatory and inpatient genitourinary specialty services were estimated according to age, sex, and insurance status. These rates were used to estimate genitourinary specialty-specific total service utilization expressed in patient care minutes for future populations and converted to genitourinary physician requirements by applying per-genitourinary-physician productivity estimates. An in-and-out movement model for urologist supply was used. Results Depending on assumptions about data at each step in the method, the supply of urologic surgeons is expected to exceed the demand by 2025 under the current enrollment rate of specialists (43.5% in 2012) when comparing the results of the projections under demand scenarios 3 and 4. However, if the current enrollment rate persists, the imbalance in supply and demand will be not severe by 2030. The degree of imbalance can be alleviated by 2030 by maintaining the current occupancy rate of urologic residents of 43.5%. Conclusions This study shows that the number of residents needs to be reduced according to the supply and demand for urologic surgeons. Moreover, a policy should be established to maintain the current occupancy rate of residents. The factors affecting the supply and demand of urologic surgeons are complicated. Thus, comprehensive policies encompassing these factors should be established with appropriate solutions. PMID:29124238

Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

Energy Technology Data Exchange (ETDEWEB)

Fuller, Jason C.; Vyakaranam, Bharat GNVSR; Prakash Kumar, Nirupama; Leistritz, Sean M.; Parker, Graham B.

2012-04-29

The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in open-source software, GridLAB-D, including evaluation of appliance controls, improvement to current algorithms, and development of aggregate control methodologies. This report is the first in a series of three reports describing the potential of GE's demand response enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The second and third reports will explore the potential of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation and the effects on volt-var control schemes.

The economics of uranium demand

International Nuclear Information System (INIS)

Owen, A.D.

1983-01-01

The major characteristics of the demand for uranium are identified, and a number of factors which determine the actual level of uranium requirements of the nuclear power industry are discussed. Since the role of inventories is central to the process of short-term price formation, by comparing projections of uranium production and apparent consumption, the relative level of total inventories is calculated and an assessment is made of its likely impact on the uranium market during the 1980s. (author)

Early postnatal hyperglycaemia is a risk factor for treatment-demanding retinopathy of prematurity

DEFF Research Database (Denmark)

Slidsborg, Carina; Jensen, Louise Bering; Rasmussen, Steen Christian

2017-01-01

Background To investigate whether neonatal hyperglycaemia in the first postnatal week is associated with treatment-demanding retinopathy of prematurity (ROP). Methods This is a Danish national, retrospective, case-control study of premature infants (birth period 2003-2006). Three national registers...

THE ACCURACY OF DEMAND FORECAST MODELS AS A CRITICAL FACTOR IN THE FINANCIAL PERFORMANCE OF THE FOOD INDUSTRY

Directory of Open Access Journals (Sweden)

Cássia Rita Pereira Da Veiga

2010-11-01

Full Text Available Every organization needs to balance their production capacities with demand. The role of demand forecasting is to assist in the organization's strategic planning; this process allows administrators to anticipate the future and plot an appropriate course of action. On its own, however, a system of demand forecasting is not enough. It is the quality of information obtained by this system which enables the organization to achieve better operational planning. In this context, this paper presents case study research to: (a define the quantitative model to forecast demand with greater accuracy; and (b to verify the influence of accuracy in demand forecasting on financial performance. This is an ex-post facto descriptive inquiry with a time series in which we made use of historical data from five groups of products over the period 2004–2008. The results suggest that if a company employs the ARIMA model for groups A, B, and E; the Holt model for group D; and the Winter model for group C, revenues will increase by approximately $1,600,000 annually. Key-words: Accuracy. Demand forecasting. Financial performance. 

PERFECT DEMAND ILLUSION

Directory of Open Access Journals (Sweden)

Alexander Yu. Sulimov

2015-01-01

Full Text Available The article is devoted to technique «Perfect demand illusion», which allows to strengthen the competitive advantageof retailers. Also in the paper spells out the golden rules of visual merchandising.The definition of the method «Demand illusion», formulated the conditions of its functioning, and is determined by the mainhypothesis of the existence of this method.Furthermore, given the definition of the «Perfect demand illusion», and describes its additional conditions. Also spells out the advantages of the «Perfect demandillusion», before the «Demand illusion».

Impacts of Demand-Side Resources on Electric Transmission Planning

Energy Technology Data Exchange (ETDEWEB)

Hadley, Stanton W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Sanstad, Alan H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2015-01-01

Will demand resources such as energy efficiency (EE), demand response (DR), and distributed generation (DG) have an impact on electricity transmission requirements? Five drivers for transmission expansion are discussed: interconnection, reliability, economics, replacement, and policy. With that background, we review the results of a set of transmission studies that were conducted between 2010 and 2013 by electricity regulators, industry representatives, and other stakeholders in the three physical interconnections within the United States. These broad-based studies were funded by the US Department of Energy and included scenarios of reduced load growth due to EE, DR, and DG. While the studies were independent and used different modeling tools and interconnect-specific assumptions, all provided valuable results and insights. However, some caveats exist. Demand resources were evaluated in conjunction with other factors, and limitations on transmission additions between scenarios made understanding the role of demand resources difficult. One study, the western study, included analyses over both 10- and 20-year planning horizons; the 10-year analysis did not show near-term reductions in transmission, but the 20-year indicated fewer transmission additions, yielding a 36percent capital cost reduction. In the eastern study the reductions in demand largely led to reductions in local generation capacity and an increased opportunity for low-cost and renewable generation to export to other regions. The Texas study evaluated generation changes due to demand, and is in the process of examining demand resource impacts on transmission.

Electricity demand in Kazakhstan

International Nuclear Information System (INIS)

Atakhanova, Zauresh; Howie, Peter

2007-01-01

Properties of electricity demand in transition economies have not been sufficiently well researched mostly due to data limitations. However, information on the properties of electricity demand is necessary for policy makers to evaluate effects of price changes on different consumers and obtain demand forecasts for capacity planning. This study estimates Kazakhstan's aggregate demand for electricity as well as electricity demand in the industrial, service, and residential sectors using regional data. Firstly, our results show that price elasticity of demand in all sectors is low. This fact suggests that there is considerable room for price increases necessary to finance generation and distribution system upgrading. Secondly, we find that income elasticity of demand in the aggregate and all sectoral models is less than unity. Of the three sectors, electricity demand in the residential sector has the lowest income elasticity. This result indicates that policy initiatives to secure affordability of electricity consumption to lower income residential consumers may be required. Finally, our forecast shows that electricity demand may grow at either 3% or 5% per year depending on rates of economic growth and government policy regarding price increases and promotion of efficiency. We find that planned supply increases would be sufficient to cover growing demand only if real electricity prices start to increase toward long-run cost-recovery levels and policy measures are implemented to maintain the current high growth of electricity efficiency

MODELLING CHALLENGES TO FORECAST URBAN GOODS DEMAND FOR RAIL

Directory of Open Access Journals (Sweden)

Antonio COMI

2015-12-01

Full Text Available This paper explores the new research challenges for forecasting urban goods demand by rail. In fact, the growing interest to find urban logistics solutions for improving city sustainability and liveability, mainly due to the reduction of urban road accessibility and environmental constraints, has pushed to explore solutions alternative to the road. Multimodal urban logistics, based on the use of railway, seem an interesting alternative solution, but it remained mainly at conceptual level. Few studies have explored the factors, that push actors to find competitive such a system with respect to the road, and modelling framework for forecasting the relative demand. Therefore, paper reviews the current literature, investigates the factors involved in choosing such a mode, and finally, recalls a recent modelling framework and hence proposes some advancements that allow to point out the rail transport alternative.

Quantifying the demand for hospital care services: a time and motion study.

Science.gov (United States)

van Oostveen, Catharina J; Gouma, Dirk J; Bakker, Piet J; Ubbink, Dirk T

2015-01-22

The actual amount of care hospitalised patients need is unclear. A model to quantify the demand for hospital care services among various clinical specialties would avail healthcare professionals and managers to anticipate the demand and costs for clinical care. Three medical specialties in a Dutch university hospital participated in this prospective time and motion study. To include a representative sample of patients admitted to clinical wards, the most common admission diagnoses were selected from the most recent update of the national medical registry (LMR) of ICD-10 admission diagnoses. The investigators recorded the time spent by physicians and nurses on patient care. Also the costs involved in medical and nursing care, (surgical) interventions, and diagnostic procedures as an estimate of the demand for hospital care services per hospitalised patient were calculated and cumulated. Linear regression analysis was applied to determine significant factors including patient and healthcare outcome characteristics. Fifty patients on the Surgery (19), Pediatrics (17), and Obstetrics & Gynecology (14) wards were monitored during their hospitalization. Characteristics significantly associated with the demand for healthcare were: polypharmacy during hospitalization, complication severity level, and whether a surgical intervention was performed. A set of predictors of the demand for hospital care services was found applicable to different clinical specialties. These factors can all be identified during hospitalization and be used as a managerial tool to monitor the patients' demand for hospital care services and to detect trends in time.

Assessment of freshwater scarcity using a model based on supply and demand law

OpenAIRE

Escribano Rodríguez de Robles, Beatriz; Sellarès González, Jordi; Xercavins, Josep

2011-01-01

The main goal of this work is to provide an analysis methodology for assessment of water scarcity problems based on supply and demand. To this end, we must first determine what can be considered as supply and demand in the water scarcity problem. Although some variables involved are physical, economical or demographical, in our approach social factors are also included. This leads us to objectify water demand standards in relation to acceptable welfare levels. Within this appro...

The development of sectoral final and basic energy demand in the Federal Republic of Germany

International Nuclear Information System (INIS)

Reents, H.

1977-08-01

The detailed knowledge of the demand structures and their determining factors is an important precondition for estimating the possible developments of future energy demand. In this report the past developments of the final and basic energy demand in the different demand categories private households, commercial sector, industry and transportation will be analyzed. The demonstrated relations are the basis for a final energy demand model. With the help of this model a scenario of the future development of the final energy demand in the different sectors will be built. It is the aim of this scenario to show, how alternative actions (insulation, gas-heat pump) influence the future development of the final energy demand. (orig.) [de

Analisis Permintaan (Demand Analysis) Pelayanan Kesehatan Puskesmas di Kabupaten Mojokerto

OpenAIRE

Budiarto, Wasis

1996-01-01

A study on demand for health centre was carried out at Mojokerto Regency, East Java. The study convered 300 respondents (15 years old and over) which were collected from two areas, urban (Kecamatan Bangsal) and rural (Kecamatan Puri). The objectives of this study were to measure the demand for health centre services and to determine the influencing factors. A household survey was conducted in this study, using household and individual as unit of analysis and a multiple linier regression techn...

Factores asociados a la demanda de servicios para la atención del parto en México Factors associated with the demand for delivery care in Mexico

Directory of Open Access Journals (Sweden)

Miguel Ángel González-Block

2010-10-01

Full Text Available Objetivo. Analizar los factores asociados a la utilización de la institución de atención del parto en México para documentar el proceso de integración funcional de instituciones de salud. Material y métodos. Se utilizó información de mujeres con último parto entre 2000 y 2005 en la Encuesta Nacional de Salud y Nutrición 2006. Se aplicó la prueba de ji cuadrada para probar diferencias entre institución utilizada y aseguramiento. Se usó regresión logística para identificar factores que favorecieron la demanda de instituciones diferentes a las de afiliación de la mujer. Resultados. El 62.6% de mujeres con seguridad social utilizó instituciones de afiliación y 13.4% instituciones públicas. Entre no aseguradas 43.3% utilizó instituciones públicas y 19% seguridad social; 64.3% de afiliadas al Seguro Popular se atendieron en instituciones públicas. Variables de acceso, nivel socioeconómico y condiciones de vida influyeron en la demanda referida. Conclusiones. El traslape para atención de partos institucionales documenta la existencia de integración funcional de facto entre instituciones de salud mexicanas.Objective. Analyze the factors associated with the utilization of delivery care institutions in Mexico in order to document the functional integration of health institutions. Materials and Methods. Based on the 2006 National Health and Nutrition Survey, information from women whose last birth was between 2000 and 2005 was used. Chi square was used to test differences between institutions used and health insurance type. A logistic regression was carried out to identify factors associated with the demand for institutions with which women were not affiliated. Results. Women with social security used in 62% of the cases the institution of their affiliation and 13.4% used public institutions. For uninsured women, 43.3% used public institutions and 19.0% social security institutions; 64.3% of the Seguro Popular affiliates were

Electricity demand and supply to 2020

International Nuclear Information System (INIS)

Bertel, E.

1991-01-01

This paper will attempt to make projections of energy and electricity demand, and the possible share of nuclear generation in global supply, up to 2020. This horizon has been chosen because the long lead times prevailing in the energy sector imply long-term planning, even though the degree of uncertainty is quite large when looking several decades ahead. Electricity demand, as well as primary energy consumption, depends on many technical and economic factors, obviously including demography. Using statistical data for past decades, it is possible to quantify by econometric methods and the links between energy and electricity consumption and economic parameters. The models defined may then be used to make projections of future electricity consumption. The share of nuclear electricity in primary energy supply can be estimated by taking into account the various constraints and lead times limiting the deployment of nuclear generating capacity, and the shares of other energy sources in electricity generation in each country or region. It should be emphasized that the scenarios presented below are illustrative, and are not forecasts of future energy and electricity demand. Because of the method adopted and the assumptions made, the scenarios reflect a 'conventional wisdom'. However, they do incorporate concerns for environmental protection and improvements regarding energy efficiency. (author)

Demand response in energy markets

International Nuclear Information System (INIS)

Skytte, K.; Birk Mortensen, J.

2004-11-01

Improving the ability of energy demand to respond to wholesale prices during critical periods of the spot market can reduce the total costs of reliably meeting demand, and the level and volatility of the prices. This fact has lead to a growing interest in the short-run demand response. There has especially been a growing interest in the electricity market where peak-load periods with high spot prices and occasional local blackouts have recently been seen. Market concentration at the supply side can result in even higher peak-load prices. Demand response by shifting demand from peak to base-load periods can counteract the market power in the peak-load. However, demand response has so far been modest since the current short-term price elasticity seems to be small. This is also the case for related markets, for example, green certificates where the demand is determined as a percentage of the power demand, or for heat and natural gas markets. This raises a number of interesting research issues: 1) Demand response in different energy markets, 2) Estimation of price elasticity and flexibility, 3) Stimulation of demand response, 4) Regulation, policy and modelling aspects, 5) Demand response and market power at the supply side, 6) Energy security of supply, 7) Demand response in forward, spot, ancillary service, balance and capacity markets, 8) Demand response in deviated markets, e.g., emission, futures, and green certificate markets, 9) Value of increased demand response, 10) Flexible households. (BA)

Demand for gasoline is more price-inelastic than commonly thought

Czech Academy of Sciences Publication Activity Database

Havránek, T.; Iršová, Z.; Janda, Karel

2012-01-01

Roč. 34, č. 1 (2012), s. 201-207 ISSN 0140-9883 Institutional support: RVO:67985998 Keywords : gasoline demand * price elasticity * publication selection bias Subject RIV: AH - Economics Impact factor: 2.538, year: 2012

History of demand side management and classification of demand response control schemes

NARCIS (Netherlands)

Lampropoulos, I.; Kling, W.L.; Ribeiro, P.F.; Berg, van den J.

2013-01-01

The scope of this paper is to provide a review on the topic of demand side management. A historical overview provides a critical insight to applied cases, while the discovery of new evidence calls for reconsideration of the design of demand response control schemes. The developments at the demand

Quantitative work demands, emotional demands, and cognitive stress symptoms in surgery nurses.

Science.gov (United States)

Elfering, Achim; Grebner, Simone; Leitner, Monika; Hirschmüller, Anja; Kubosch, Eva Johanna; Baur, Heiner

2017-06-01

In surgery, cognitive stress symptoms, including problems in concentrating, deciding, memorising, and reflecting are risks to patient safety. Recent evidence points to social stressors as antecedents of cognitive stress symptoms in surgery personnel. The current study tests whether cognitive stress symptoms are positively associated with emotional abuse, emotional- and task-related demands and resources in surgery work. Forty-eight surgery nurses from two hospitals filled out the Copenhagen Psychosocial Questionnaire in its German version. Task-related and emotional demands were positively related to cognitive stress symptoms. In a stepwise, multiple, linear regression of cognitive stress symptoms on task-related and emotional demands, emotional abuse and emotional demands were unique predictors (p emotional abuse, emotional demands, and, therefore, communication and cooperation team climate in surgery personnel.

[Study on elasticity of medical service demand at the township level in China].

Science.gov (United States)

Shi, Hong-xing; Lv, Jun; Xie, Yi-ping; Wang, Ying; Jia, Jin-zhong; Chang, Feng-shui; Duan, Lin; Sun, Mei; Wang, Zhi-feng; Hao, Mo

2010-06-18

To find out the economic laws regulating medical service demand in accordance with influencing factors at the township level, thus to provide references for further adjusting the medical service demand reasonably in the future. The model of medical service demand was established to measure the elasticity of demand in 49 township health clinics in 1995, 1999, 2003 and 2007. The price elasticity of outpatient and inpatient demand was stable during the four periods, and the average value was -0.029 and -0.132 respectively; the average value of income elasticity was 0.973 and 0.977, registering a downward trend in general. The medical service demand at the township level is price inelastic, indicating that it is a necessity for rural residents. The downward trend of income elasticity under the influence of some health policies illustrates a lightening in economic burden for medical service demand among rural residents in township health clinics.

Future Parking Demand at Rail Stations in Klang Valley

Directory of Open Access Journals (Sweden)

Ho Phooi Wai

2017-01-01

Full Text Available Klang Valley, Malaysia is currently undergoing a massive development of rail transportation system expansion where the current integrated rail transit system will see new extensions of two MRT lines and an LRT line by year 2020. By year 2017, the first MRT line will be ready to run with 31 new rail stations connected to the current passenger rail network. The existing Park and Ride facilities in Klang Valley are commonly known as being unable to sufficiently cater for the current parking space demand. Therefore, with the expansion of many additional rail stations which are rapidly under construction, there are doubts that the future parking space at rail stations will be able to accommodate the sudden rise of rail passengers. Although the authorities are increasing parking bays at various locations, will the future parking demand at rail stations be sufficient? This paper studies the factors influencing parking demand in terms of population, car ownership, new car registrations and passenger rail ridership and estimating the future parking demand using Linear Regression method. Result shows that the forecasted parking demand at rail stations after the implementation of the first new MRT system in 2017 is 2.7 times more than in 2014.

Interactive Information Service Technology of Tea Industry Based on Demand-Driven

OpenAIRE

Shi , Xiaohui; Chen , Tian’en

2013-01-01

International audience; Information service technology is a bridge between user and information resource, also is the critical factor to weight the quality of information service. Focusing on the information service features of tea industry, the demand-driven and interaction of information service were emphasized in this paper. User and market as the major criterion for testing the quality of information service, the interactive information service mode based on the demand-driven was proposed...

Future supply of, and demand for, titanium, copper and lead

International Nuclear Information System (INIS)

Grover, L.K.

1991-01-01

A literature survey has been conducted to assess the future world supply of, and demand for, titanium, copper and lead. These metals are candidates for the fabrication of containers for the immobilization and disposal of Canada's nuclear used-fuel in an underground disposal vault at a Used-Fuel Disposal Centre. The Centre is assumed to begin operation by the year 2020 and continue for about 40 years. The survey has shown that the world has abundant supplies of titanium minerals (mostly in the form of ilmenite), which are expected to last up to at least 2110. However, for copper and lead, the balance between supply and demand may warrant increased monitoring beyond the year 2000. A number of factors that can influence supply and demand are discussed

Uruguaian rural area: energy demand and sources supply

International Nuclear Information System (INIS)

Reolon, R.

1994-01-01

The present work is about the energy demand in rural areas and its electrification like one of the factors of its residents maintenance, in the means that they are essential for the development but intensive of agrarian intensity, nevertheless we will try to determine their quantity and the character one of them

Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration

International Nuclear Information System (INIS)

Amusa, Hammed; Amusa, Kafayat; Mabugu, Ramos

2009-01-01

Electricity demand in South Africa has grown at a very rapid rate over the past decade. As part of reform initiatives to enhance long-term sustainability of the country's electricity industry, South Africa's authorities have in recent years sought to develop an electricity pricing framework that is cost reflective and forms the cornerstone of demand management schemes meant to foster changes in consumption behaviour and enhance efficiency in resource use. The effects of any pricing policy on aggregate electricity consumption will depend on a useful understanding of the factors that influence electricity demand, and the magnitude to which electricity demand responds to changes in such factors. In this context, this paper applies the bounds testing approach to cointegration within an autoregressive distributed lag framework to examine the aggregate demand for electricity in South Africa during the period 1960-2007. The results indicate that in the long run, income is the main determinant of electricity demand. With electricity prices having an insignificant effect on aggregate electricity demand, future pricing policies will need to ensure that electricity prices are cost reflective and enhance efficiency of electricity supply and use.

Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration

Energy Technology Data Exchange (ETDEWEB)

Amusa, Hammed; Mabugu, Ramos [Financial and Fiscal Commission, Private Bag X69, Halfway Gardens, 1685 Midrand (South Africa); Amusa, Kafayat [Department of Economics, University of South Africa, P.O. Box 392, UNISA 0003 (South Africa)

2009-10-15

Electricity demand in South Africa has grown at a very rapid rate over the past decade. As part of reform initiatives to enhance long-term sustainability of the country's electricity industry, South Africa's authorities have in recent years sought to develop an electricity pricing framework that is cost reflective and forms the cornerstone of demand management schemes meant to foster changes in consumption behaviour and enhance efficiency in resource use. The effects of any pricing policy on aggregate electricity consumption will depend on a useful understanding of the factors that influence electricity demand, and the magnitude to which electricity demand responds to changes in such factors. In this context, this paper applies the bounds testing approach to cointegration within an autoregressive distributed lag framework to examine the aggregate demand for electricity in South Africa during the period 1960-2007. The results indicate that in the long run, income is the main determinant of electricity demand. With electricity prices having an insignificant effect on aggregate electricity demand, future pricing policies will need to ensure that electricity prices are cost reflective and enhance efficiency of electricity supply and use. (author)

Road infrastructure and demand induction

DEFF Research Database (Denmark)

Nielsen, Thomas Alexander Sick; Hovgesen, Henrik Harder; Lahrmann, Harry

2006-01-01

a long screenline is used to measure the development in aggregate demand in selected corridors. The paper analyses demand induction by establishing time series of aggregate demand that is compared with the national traffic index. Significant trend breaks in the association between aggregate demand...... in the corridors and the national index, following the opening of motorways or bridges, indicates demand induction by infrastructure expansion in a number of instances. Lack of significant trend breaks following opening year is found in peripheral areas where major population centres are missing. This indicates...... the necessity of some latent demand within suitable travel range for new infrastructure elements to produce significant amounts of induced demand. Estimates of demand induction as a percentage of the realised demand five years after opening are between 10% and 67% for new motorway sections depending...

Dynamic energy-demand models. A comparison

International Nuclear Information System (INIS)

Yi, Feng

2000-01-01

This paper compares two second-generation dynamic energy demand models, a translog (TL) and a general Leontief (GL), in the study of price elasticities and factor substitutions of nine Swedish manufacturing industries: food, textiles, wood, paper, printing, chemicals, non-metallic minerals, base metals and machinery. Several model specifications are tested with likelihood ratio test. There is a disagreement on short-run adjustments; the TL model accepts putty-putty production technology of immediate adjustments, implying equal short- and long-run price elasticities of factors, while the GL model rejects immediate adjustments, giving out short-run elasticities quite different from the long-run. The two models also disagree in substitutability in many cases. 21 refs

Study of forecasting maximum demand of electric power

Energy Technology Data Exchange (ETDEWEB)

Yoo, B.C.; Hwang, Y.J. [Korea Energy Economics Institute, Euiwang (Korea, Republic of)

1997-08-01

As far as the past performances of power supply and demand in Korea is concerned, one of the striking phenomena is that there have been repeated periodic surpluses and shortages of power generation facilities. Precise assumption and prediction of power demands is the basic work in establishing a supply plan and carrying out the right policy since facilities investment of the power generation industry requires a tremendous amount of capital and a long construction period. The purpose of this study is to study a model for the inference and prediction of a more precise maximum demand under these backgrounds. The non-parametric model considered in this study, paying attention to meteorological factors such as temperature and humidity, does not have a simple proportionate relationship with the maximum power demand, but affects it through mutual complicated nonlinear interaction. I used the non-parametric inference technique by introducing meteorological effects without importing any literal assumption on the interaction of temperature and humidity preliminarily. According to the analysis result, it is found that the non-parametric model that introduces the number of tropical nights which shows the continuity of the meteorological effect has better prediction power than the linear model. The non- parametric model that considers both the number of tropical nights and the number of cooling days at the same time is a model for predicting maximum demand. 7 refs., 6 figs., 9 tabs.

Key factors that influence the demand and the consumption of electric power in solar home systems; Principais fatores que influenciam a demanda e o consumo de energia eletrica em sistemas fotovoltaicos domiciliares

Energy Technology Data Exchange (ETDEWEB)

Morante, Federico; Zilles, Roberto [Universidade de Sao Paulo (USP), SP (Brazil). Programa Interunidades de Pos Graduacao em Energia. Lab. de Sistemas Fotovoltaicos

2004-07-01

From the results obtained with a field research looking for to understanding the behavior of the electric energy demand in Solar Home Systems, the aleatory influence factors in the demand was identified These can be contained in technical, management, psychological, geographical, demographic, socio cultural and economic factors. The purpose of this paper is to describe each of them and, simultaneously, present some registration discover with the field work. The survey involved 178 people and 13 rural communities located in the States of Sao Paulo, Pernambuco and Amazonas and, besides, in the Puno area, in Peru. Ten of those communities are electrified with photovoltaic systems and three with the conventional electric grid. (author)

Assessing Needs and Demand for Radiotherapy. Chapter 3

International Nuclear Information System (INIS)

Barton, M.; Williams, M.

2017-01-01

Cancer services, such as screening, surgery, chemotherapy or radiotherapy, should be delivered in the type and amount that meet local demand. Estimating demand requires knowledge of the types and numbers of cancers and the indications for services. For example, the demand for breast screening can be calculated by determining the number of women aged 50 to 70 years old. It is more complicated to determine the demand for services, such as radiotherapy or chemotherapy, that have a large number of indications relevant to small proportions of the cancer population. Different populations will have different incidence rates of cancer, and the proportions of the common types of cancer may vary. Cancer registries provide information on the types and frequency of cancer in a population. They may also record data about stage at presentation, which has a critical influence on the outcomes. In addition, factors relating to specific groups of patients, such as performance status and co-morbidities, may alter treatment recommendations. Unfortunately all these details are often poorly recorded by cancer registries. Nevertheless, planning of sufficient services to meet the needs of the treatment population is vital in providing optimal care. This chapter describes an evidence based approach to estimating the demand for radiotherapy, and its application to different treatment modalities and different populations. The work was done mainly for Australia, but has been used in Europe and North America. Cancer services include all cancer control interventions, such as screening, early detection, diagnosis, treatment, palliation and rehabilitation. The estimation of the demand for radiotherapy will be described in detail, and examples given of how this approach has been adapted to other modalities and other populations.

The development of demand elasticity model for demand response in the retail market environment

NARCIS (Netherlands)

Babar, M.; Nguyen, P.H.; Kamphuis, I.G.

2015-01-01

In the context of liberalized energy market, increase in distributed generation, storage and demand response has expanded the price elasticity of demand, thus causing the addition of uncertainty to the supply-demand chain of power system. In order to cope with the challenges of demand uncertainty

The impact of gasoline price fluctuations on lodging demand for US brand hotels

International Nuclear Information System (INIS)

Walsh, Kate; Enz, Cathy A.; Canina, Linda

2004-01-01

Analyzing US brand hotels, over a 13-year period, this study provides empirical evidence of a significant negative relationship between gasoline prices and demand for certain lodging products, controlling for economic factors (i.e. gross domestic product and population density). Applying principles from microeconomic demand theory to the literature on gasoline price elasticities, consumer demographics and lodging demand, a set of hypotheses were devised to test the relationship between gasoline prices and lodging demand for specific hotel locations and price segments. Using fixed effects models, the results reveal that lodging demand decreases as gasoline prices rise in all segments except upper-upscale and all locations except urban areas. Hotels in midscale without food and beverage and economy market segments, in resort, suburban and highway locations, exhibit the greatest association between gasoline price shifts and demand. Implications of these findings are discussed for both hospitality research and practice. (Author)

The impact of gasoline price fluctuations on lodging demand for US brand hotels

Energy Technology Data Exchange (ETDEWEB)

Walsh, Kate; Enz, Cathy A.; Canina, Linda [Cornell Univ., School of Hotel Administration, Ithaca, NY (United States)

2004-12-01

Analyzing US brand hotels, over a 13-year period, this study provides empirical evidence of a significant negative relationship between gasoline prices and demand for certain lodging products, controlling for economic factors (i.e. gross domestic product and population density). Applying principles from microeconomic demand theory to the literature on gasoline price elasticities, consumer demographics and lodging demand, a set of hypotheses were devised to test the relationship between gasoline prices and lodging demand for specific hotel locations and price segments. Using fixed effects models, the results reveal that lodging demand decreases as gasoline prices rise in all segments except upper-upscale and all locations except urban areas. Hotels in midscale without food and beverage and economy market segments, in resort, suburban and highway locations, exhibit the greatest association between gasoline price shifts and demand. Implications of these findings are discussed for both hospitality research and practice. (Author)

Function and Content of Maternal Demands: Developmental Significance of Early Demands for Competent Action.

Science.gov (United States)

Kuczynski, Leon; Kochanska, Grazyna

1995-01-01

Examined mothers' demands during mothers' interactions with their 1.5- to 3.5-year olds. Mothers with authoritative child-rearing attitudes emphasized proactive, competence-oriented demands and avoided regulatory control. Maternal demands for competent action predicted fewer behavior problems in their children at age five; maternal demands focused…

On-Demand Telemetry

Data.gov (United States)

National Aeronautics and Space Administration — AFRC has previously investigated the use of Network Based Telemetry. We will be building on that research to enable On-Demand Telemetry. On-Demand Telemetry is a way...

Money Demand in Latvia

OpenAIRE

Ivars Tillers

2004-01-01

The econometric analysis of the demand for broad money in Latvia suggests a stable relationship of money demand. The analysis of parameter exogeneity indicates that the equilibrium adjustment is driven solely by the changes in the amount of money. The demand for money in Latvia is characterised by relatively high income elasticity typical for the economy in a monetary expansion phase. Due to stability, close fit of the money demand function and rapid equilibrium adjustment, broad money aggreg...

Effects of visually demanding near work on trapezius muscle activity.

Science.gov (United States)

Zetterberg, C; Forsman, M; Richter, H O

2013-10-01

Poor visual ergonomics is associated with visual and neck/shoulder discomfort, but the relation between visual demands and neck/shoulder muscle activity is unclear. The aims of this study were to investigate whether trapezius muscle activity was affected by: (i) eye-lens accommodation; (ii) incongruence between accommodation and convergence; and (iii) presence of neck/shoulder discomfort. Sixty-six participants (33 controls and 33 with neck pain) performed visually demanding near work under four different trial-lens conditions. Results showed that eye-lens accommodation per se did not affect trapezius muscle activity significantly. However, when incongruence between accommodation and convergence was present, a significant positive relationship between eye-lens accommodation and trapezius muscle activity was found. There were no significant group-differences. It was concluded that incongruence between accommodation and convergence is an important factor in the relation between visually demanding near work and trapezius muscle activity. The relatively low demands on accommodation and convergence in the present study imply that visually demanding near work may contribute to increased muscle activity, and over time to the development of near work related neck/shoulder discomfort. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

Study on the evaluation of decontamination and decommissioning technologies and their demands in Korea

Energy Technology Data Exchange (ETDEWEB)

Oh, Won Zin; Lee, K. W.; Jung, C. H.; Choi, W. K.; Won, H. J.; Kim, G. N.; Jung, K. J.; Chung, U. S.; Lee, D. G.; Kim, C. J.; Kim, S. H.; Chung, J. M.; Kwon, S. O. [Korea Atomic Energy Research Institute, Taejeon (Korea)

2001-03-01

D and D market demand, the current status of the technology, technology items applicable to the domestic market and the future prospect of technologies not self-developed in Korea were evaluated. In the evaluation of D and D market demand and the current status of the technology, 1) the market demand was investigated on the D and D objects such as the research reactors, the nuclear power plants and the nuclear fuel cycle development facilities from 2001 to 2010, and 2) the technology demand for decommissioning of the nuclear power plants from 2001 to 2030 were investigated. In the evaluation of the technology items applicable to the domestic market, 1) the analysis of the technologies derived from the technology requirements on D and D objects and their related similar technologies was performed, and 2) the technology items applicable to the domestic market were derived from the evaluation of the suitability on the domestic technology requirements. The promising technologies applicable to the domestic market were derived from the integrated evaluation of the technological factors(innovation, internationally competitive power and the difficulty of the technology development), economical factors (domestic demand and substitution effect of foreign currency) and domestically applicable factors (applicability on the industry and a ripple effect). The background of the technology development such as business applicability and the technology demonstration effect through the integrated management of the decommissioning of TRIGA reactor and the uranium conversion facility was also analyzed. 10 refs., 9 figs., 28 tabs. (Author)

Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach

International Nuclear Information System (INIS)

Adom, Philip Kofi; Bekoe, William; Akoena, Sesi Kutri Komla

2012-01-01

In spite of the varying supply boosting efforts made by various governments to deal with the existing demand–supply gap in the electricity sector, the incessant growth in aggregate domestic electricity demand has made these efforts futile. As an objective, this paper attempts to identify the factors responsible for the historical growth trends in aggregate domestic electricity demand quantifying their effects both in the short-run and long-run periods using the ARDL Bounds cointegration approach and the sample period 1975 to 2005. In the long-run, real per capita GDP, industry efficiency, structural changes in the economy, and degree of urbanisation are identified as the main driving force behind the historical growth trend in aggregate domestic electricity demand. However, in the short-run, real per capita GDP, industry efficiency, and degree of urbanisation are the main drivers of aggregate domestic electricity demand. Industry efficiency is the only factor that drives aggregate domestic electricity demand downwards. However, the negative efficiency effect is insufficient to have outweighed the positive income, output, and demographic effects, hence the continual growth in aggregate domestic electricity demand. As a policy option, we recommend that appropriate electricity efficiency standards be implemented at the industry level. - Highlights: ► Real per capita GDP is the primary determinant of electricity demand both in the short and long-run. ► Industrial efficiency, structural changes and urbanisation rate play secondary role. ► The positive income, output, and demographic effects outweigh the negative efficiency effects.

Prophylaxis vs. on-demand treatment with BAY 81-8973, a full-length plasma protein-free recombinant factor VIII product: results from a randomized trial (LEOPOLD II).

Science.gov (United States)

Kavakli, K; Yang, R; Rusen, L; Beckmann, H; Tseneklidou-Stoeter, D; Maas Enriquez, M

2015-03-01

BAY 81-8973 is a new full-length human recombinant factor VIII product manufactured with technologies to improve consistency in glycosylation and expression to optimize clinical performance. To demonstrate superiority of prophylaxis vs. on demand therapy with BAY 81-8973 in patients with severe hemophilia A. In this multinational,randomized, open-label crossover study (LEOPOLD II;ClinicalTrials.gov identifier: NCT01233258), males aged 12–65 years with severe hemophilia A were randomized to twice-weekly prophylaxis (20-30 IU kg(-1)), 3-times-weekly prophylaxis (30-40 IU kg(-1)), or on-demand treatment with BAY 81-8973. Potency labeling for BAY 81-8973 was based on the chromogenic substrate assay or adjusted to the one-stage assay. Primary efficacy endpoint was annualized number of all bleeds (ABR). Adverse events (AEs)and immunogenicity were also assessed. Eighty patients (on demand, n = 21; twice-weekly prophylaxis, n = 28; 3-times-weekly prophylaxis, n = 31) were treated and analyzed. Mean ± SD ABR was significantly lower with prophylaxis (twice-weekly, 5.7 ± 7.2; 3-times-weekly, 4.3 ± 6.5; combined, 4.9 ± 6.8) vs. on-demand treatment (57.7 ± 24.6; P demand treatment (60.0). Median ABR was higher with twice-weekly vs. 3-times-weekly prophylaxis during the first 6-month treatment period (4.1 vs. 2.0) but was comparable in the second 6-month period (1.1 vs. 2.0). Few patients reported treatment-related AEs (4%); no treatment-related serious AEs or inhibitors were reported. Twice weekly or 3-times-weekly prophylaxis with BAY 81-8973 reduced median ABR by 97% compared with on-demand therapy, confirming the superiority of prophylaxis. Treatment with BAY 81-8973 was well tolerated.

Explaining regional variation in home care use by demand and supply variables.

Science.gov (United States)

van Noort, Olivier; Schotanus, Fredo; van de Klundert, Joris; Telgen, Jan

2018-02-01

In the Netherlands, home care services like district nursing and personal assistance are provided by private service provider organizations and covered by private health insurance companies which bear legal responsibility for purchasing these services. To improve value for money, their procurement increasingly replaces fee-for-service payments with population based budgets. Setting appropriate population budgets requires adaptation to the legitimate needs of the population, whereas historical costs are likely to be influenced by supply factors as well, not all of which are necessarily legitimate. Our purpose is to explain home care costs in terms of demand and supply factors. This allows for adjusting historical cost patterns when setting population based budgets. Using expenses claims of 60 Dutch municipalities, we analyze eight demand variables and five supply variables with a multiple regression model to explain variance in the number of clients per inhabitant, costs per client and costs per inhabitant. Our models explain 69% of variation in the number of clients per inhabitant, 28% of costs per client and 56% of costs per inhabitant using demand factors. Moreover, we find that supply factors explain an additional 17-23% of variation. Predictors of higher utilization are home care organizations that are integrated with intramural nursing homes, higher competition levels among home care organizations and the availability of complementary services. Copyright © 2017. Published by Elsevier B.V.

Balancing needs. Global trends in uranium production and demand

International Nuclear Information System (INIS)

Nicolet, J.P.; Underhill, D.

1998-01-01

In many countries, uranium is a major energy resource, fueling nuclear power plants that collectively generate about 17% of the world's electricity. With global demand for energy especially electricity projected to grow rapidly over the coming decades, the price and availability of all energy sources, including uranium, are key components in the process of energy planning and decision-making. Particularly affecting the uranium market were changing projections about nuclear power's growth and the consequent demand for nuclear fuel; the emergence of a more integrated free market system including former centrally planned economies; and the emergence into the civilian market of uranium released from dismantled nuclear weapons. All these factors contributed to uncertainties in the commercial uranium market that raised questions about future fuel supplies for nuclear power plants. Signs today indicate that the situation is changing. The world uranium market is moving towards a more balanced relationship between supply and demand

Deriving local demand for stumpage from estimates of regional supply and demand.

Science.gov (United States)

Kent P. Connaughton; Gerard A. Majerus; David H. Jackson

1989-01-01

The local (Forest-level or local-area) demand for stumpage can be derived from estimates of regional supply and demand. The derivation of local demand is justified when the local timber economy is similar to the regional timber economy; a simple regression of local on nonlocal prices can be used as an empirical test of similarity between local and regional economies....

An energy supply and demand model for South Africa

International Nuclear Information System (INIS)

Silberberg, R.B.

1981-08-01

The topic of this thesis is the development of a model of energy supply and demand in South Africa to project energy flows up to the year 2005 and also to assess the implications of policy actions. In this thesis, a method of determining energy flows taking generally accepted economic and technological factors into account is developed. Also, various situations are tested, in order to determine the following: 1) Likely energy flows up to 2005, as well as possible upper and lower bounds. 2) Significant final demand sectors, in terms of energy requirements. 3) The effects of changes in supply and demand sector technology. 4) The implications of policy options such as enengy independence. Owing to the different characteristics of the energy supply and demand sectors, the following techniques were used: 1) Energy demand sectors. 2) Energy supply sectors. 3) Supply/demand equilibration 4) Output. Through successive runs of the model, the policy-maker is able to indentify likely values of energy flows, as well as upper and lower boundaries given the described set of assumptions. The following statements are made as conclusions: 1) The growth rate of domectic coal demand is likely to be 5,5 % per annum up to 2005. 2) The Iron and Steel industry and the Mining industry have the greatest potential effect on coal demand. 3) The coal growth rate stated above implies certain improvements in coal to liquid fuel and electricity conversion. 4) The coal demands of oil energy independence are listed, highlighting the fact that major coal exports and energy independence may be mutually exclusive. Other conclusions regarding capital requirements, oil imports and coking coal utilization are described. The model permits a consistent and inteqrated forecast of national energy flows to be made, providing the policymaker with projections that include the effects of uncertainty with regard to future technologies and economic output. This feature is crucial for policy formulation

Avoiding the conflict: Metacognitive awareness drives the selection of low-demand contexts.

Science.gov (United States)

Desender, Kobe; Buc Calderon, Cristian; Van Opstal, Filip; Van den Bussche, Eva

2017-07-01

Previous research attempted to explain how humans strategically adapt behavior in order to achieve successful task performance. Recently, it has been suggested that 1 potential strategy is to avoid tasks that are too demanding. Here, we report 3 experiments that investigate the empirically neglected role of metacognitive awareness in this process. In these experiments, participants could freely choose between performing a task in either a high-demand or a low-demand context. Using subliminal priming, we ensured that participants were not aware of the visual stimuli creating these different demand contexts. Our results showed that participants who noticed a difference in task difficulty (i.e., metacognitive aware participants) developed a clear preference for the low-demand context. In contrast, participants who experienced no difference in task difficulty (i.e., metacognitive unaware participants) based their choices on variables unrelated to cognitive demand (e.g., the color or location associated with a context), and did not develop a preference for the low-demand context. Crucially, this pattern was found despite identical task performance in both metacognitive awareness groups. A multiple regression approach confirmed that metacognitive awareness was the main factor driving the preference for low-demand contexts. These results argue for an important role of metacognitive awareness in the strategic avoidance of demanding tasks. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Interpersonal interactions, job demands and work-related outcomes in pharmacy.

Science.gov (United States)

Gaither, Caroline A; Nadkarni, Anagha

2012-04-01

Objectives  The objective of this study was to examine the interaction between job demands of pharmacists and resources in the form of interpersonal interactions and its association with work-related outcomes such as organizational and professional commitment, job burnout, professional identity and job satisfaction. The job demands-resources (JD-R) model served as the theoretical framework. Methods  Subjects for the study were drawn from the Pharmacy Manpower Project Database (n = 1874). A 14-page mail-in survey measured hospital pharmacists' responses on the frequency of occurrence of various job-related scenarios as well as work-related outcomes. The study design was a 2 × 2 factorial design. Responses were collected on a Likert scale. Descriptive statistics, reliability analyses and correlational and multiple regression analyses were conducted using SPSS version 17 (SPSS, Chicago, IL, USA). Key findings  The 566 pharmacists (30% response rate) who responded to the survey indicated that high-demand/pleasant encounters and low-demand/pleasant encounters occurred more frequently in the workplace. The strongest correlations were found between high-demand/unpleasant encounters and frequency and intensity of emotional exhaustion. Multiple regression analyses indicated that when controlling for demographic factors high-demand/unpleasant encounters were negatively related to affective organizational commitment and positively related to frequency and intensity of emotional exhaustion. Low-demand/pleasant encounters were positively related to frequency and intensity of personal accomplishment. Low-demand/unpleasant encounters were significantly and negatively related to professional commitment, job satisfaction and frequency and intensity of emotional exhaustion, while high-demand/pleasant encounters were also related to frequency and intensity of emotional exhaustion Conclusion  Support was found for the JD-R model and the proposed interaction effects

Estimation of demand function on natural gas and study of demand analysis

Energy Technology Data Exchange (ETDEWEB)

Kim, Y.D. [Korea Energy Economics Institute, Euiwang (Korea, Republic of)

1998-04-01

Demand Function is estimated with several methods about the demand on natural gas, and analyzed per usage. Since the demand on natural gas, which has big share of heating use, has a close relationship with temperature, the inter-season trend of price and income elasticity is estimated considering temperature and economic formation. Per usage response of natural gas demand on the changes of price and income is also estimated. It was estimated that the response of gas demand on the changes of price and income occurs by the change of number of users in long term. In case of the response of unit consumption, only industrial use shows long-term response to price. Since gas price barely responds to the change of exchange rate, it seems to express the price-making mechanism that does not reflect timely the import condition such as exchange rate, etc. 16 refs., 12 figs., 13 tabs.

Marketing research on potential demands of photovoltaic systems. Taiyoko hatsuden system no senzai shijo chosa seika hokokusho

Energy Technology Data Exchange (ETDEWEB)

1988-03-01

Applicable uses and the market size for photovoltaic (PV) systems were investigated taking into consideration the features and economics of such systems. As a result of computing representative usage examples together with the extent of potential demand for PV, 238 GW for the power source in private homes, 76 GW for green houses, 126 GW for sewage water treatment plants, 4 GW for schools and universities and others were estimated. For the greater number of PV systems already in actual use, non-cost factors acted as major determining factors when deciding on implementation. Promising uses (applicable ideas) seen from the standpoint of non-cost factors were studied in order to develop the PV system market and gain breakthrough for lowering future costs and increasing proliferation for such systems. When it comes to simultaneously decreasing costs and increasing demand for solar batteries in the coming days, it will be impossible to make an immediate transition from the present state of demand for public use and for special use to the final goal of demand as a power source in the home. There is a need for an intermediate demand that can bridge this gap. (13 figs, 9 tabs)

A disaggregate model to predict the intercity travel demand

Energy Technology Data Exchange (ETDEWEB)

Damodaran, S.

1988-01-01

This study was directed towards developing disaggregate models to predict the intercity travel demand in Canada. A conceptual framework for the intercity travel behavior was proposed; under this framework, a nested multinomial model structure that combined mode choice and trip generation was developed. The CTS (Canadian Travel Survey) data base was used for testing the structure and to determine the viability of using this data base for intercity travel-demand prediction. Mode-choice and trip-generation models were calibrated for four modes (auto, bus, rail and air) for both business and non-business trips. The models were linked through the inclusive value variable, also referred to as the long sum of the denominator in the literature. Results of the study indicated that the structure used in this study could be applied for intercity travel-demand modeling. However, some limitations of the data base were identified. It is believed that, with some modifications, the CTS data could be used for predicting intercity travel demand. Future research can identify the factors affecting intercity travel behavior, which will facilitate collection of useful data for intercity travel prediction and policy analysis.

A multifunctional multimaterial system for on-demand protein release.

Science.gov (United States)

Tuncaboylu, Deniz Ceylan; Friess, Fabian; Wischke, Christian; Lendlein, Andreas

2018-06-15

In order to provide best control of the regeneration process for each individual patient, the release of protein drugs administered during surgery may need to be timely adapted and/or delayed according to the progress of healing/regeneration. This study aims to establish a multifunctional implant system for a local on-demand release, which is applicable for various types of proteins. It was hypothesized that a tubular multimaterial container kit, which hosts the protein of interest as a solution or gel formulation, would enable on-demand release if equipped with the capacity of diameter reduction upon external stimulation. Using devices from poly(ɛ-caprolactone) networks, it could be demonstrated that a shape-memory effect activated by heat or NIR light enabled on-demand tube shrinkage. The decrease of diameter of these shape-memory tubes (SMT) allowed expelling the payload as demonstrated for several proteins including SDF-1α, a therapeutically relevant chemotactic protein, to achieve e.g. continuous release with a triggered add-on dosing (open tube) or an on-demand onset of bolus or sustained release (sealed tube). Considering the clinical relevance of protein factors in (stem) cell attraction to lesions and the progress in monitoring biomarkers in body fluids, such on-demand release systems may be further explored e.g. in heart, nerve, or bone regeneration in the future. Copyright © 2018. Published by Elsevier B.V.

Accounting for Water Insecurity in Modeling Domestic Water Demand

Science.gov (United States)

Galaitsis, S. E.; Huber-lee, A. T.; Vogel, R. M.; Naumova, E.

2013-12-01

Water demand management uses price elasticity estimates to predict consumer demand in relation to water pricing changes, but studies have shown that many additional factors effect water consumption. Development scholars document the need for water security, however, much of the water security literature focuses on broad policies which can influence water demand. Previous domestic water demand studies have not considered how water security can affect a population's consumption behavior. This study is the first to model the influence of water insecurity on water demand. A subjective indicator scale measuring water insecurity among consumers in the Palestinian West Bank is developed and included as a variable to explore how perceptions of control, or lack thereof, impact consumption behavior and resulting estimates of price elasticity. A multivariate regression model demonstrates the significance of a water insecurity variable for data sets encompassing disparate water access. When accounting for insecurity, the R-squaed value improves and the marginal price a household is willing to pay becomes a significant predictor for the household quantity consumption. The model denotes that, with all other variables held equal, a household will buy more water when the users are more water insecure. Though the reasons behind this trend require further study, the findings suggest broad policy implications by demonstrating that water distribution practices in scarcity conditions can promote consumer welfare and efficient water use.

Policy packages to achieve demand reduction

International Nuclear Information System (INIS)

Boardman, Brenda

2005-01-01

In many sectors and many countries, energy demand is still increasing, despite decades of policies to reduce demand. Controlling climate change is becoming more urgent, so there is a need to devise policies that will, virtually, guarantee demand reduction. This has to come from policy, at least in the UK, as the conditions do not exist, yet, when the consumers will 'pull' the market for energy efficiency or the manufacturers will use technological development to 'push' it. That virtuous circle has to be created by a mixture of consumer education and restrictions on manufacturers (for instance, permission to manufacture). The wider policy options include higher prices for energy and stronger product policies. An assessment of the effectiveness of different policy packages indicates some guiding principles, for instance that improved product policy must precede higher prices, otherwise consumers are unable to react effectively to price rises. The evidence will be assessed about the ways in which national and EU policies can either reinforce, duplicate or undermine each other. Another area of examination will be timescales: what is the time lag between the implementation of a policy (whether prices or product based) and the level of maximum reductions. In addition, the emphasis given to factors such as equity, raising investment funds and speed of delivery also influence policy design and the extent to which absolute carbon reductions can be expected

Energy demand and population change.

Science.gov (United States)

Allen, E L; Edmonds, J A

1981-09-01

During the post World War 2 years energy consumption has grown 136% while population grew about 51%; per capita consumption of energy expanded, therefore, about 60%. For a given population size, demographic changes mean an increase in energy needs; for instance the larger the group of retirement age people, the smaller their energy needs than are those for a younger group. Estimates indicate that by the year 2000 the energy impact will be toward higher per capita consumption with 60% of the population in the 19-61 age group of workers. Rising female labor force participation will increase the working group even more; it has also been found that income and energy grow at a proportional rate. The authors predict that gasoline consumption within the US will continue to rise with availability considering the larger number of female drivers and higher per capita incomes. The flow of illegal aliens (750,000/year) will have a major impact on income and will use greater amounts of energy than can be expected. A demographic change which will lower energy demands will be the slowdown of the rate of household formation caused by the falling number of young adults. The response of energy demand to price changes is small and slow but incomes play a larger role as does the number of personal automobiles and social changes affecting household formation. Households, commercial space, transportation, and industry are part of every demand analysis and population projections play a major role in determining these factors.

The Role of Demand Resources In Regional Transmission Expansion Planning and Reliable Operations

Energy Technology Data Exchange (ETDEWEB)

Kirby, Brendan J [ORNL

2006-07-01

Investigating the role of demand resources in regional transmission planning has provided mixed results. On one hand there are only a few projects where demand response has been used as an explicit alternative to transmission enhancement. On the other hand there is a fair amount of demand response in the form of energy efficiency, peak reduction, emergency load shedding, and (recently) demand providing ancillary services. All of this demand response reduces the need for transmission enhancements. Demand response capability is typically (but not always) factored into transmission planning as a reduction in the load which must be served. In that sense demand response is utilized as an alternative to transmission expansion. Much more demand response is used (involuntarily) as load shedding under extreme conditions to prevent cascading blackouts. The amount of additional transmission and generation that would be required to provide the current level of reliability if load shedding were not available is difficult to imagine and would be impractical to build. In a very real sense demand response solutions are equitably treated in every region - when proposed, demand response projects are evaluated against existing reliability and economic criteria. The regional councils, RTOs, and ISOs identify needs. Others propose transmission, generation, or responsive load based solutions. Few demand response projects get included in transmission enhancement plans because few are proposed. But this is only part of the story. Several factors are responsible for the current very low use of demand response as a transmission enhancement alternative. First, while the generation, transmission, and load business sectors each deal with essentially the same amount of electric power, generation and transmission companies are explicitly in the electric power business but electricity is not the primary business focus of most loads. This changes the institutional focus of each sector. Second

Energy demand of the German and Dutch residential building stock under climate change

Science.gov (United States)

Olonscheck, Mady; Holsten, Anne; Walther, Carsten; Kropp, Jürgen P.

2014-05-01

In order to mitigate climate change, extraordinary measures are necessary in the future. The building sector, in particular, offers considerable potential for transformation to lower energy demand. On a national level, however, successful and far-reaching measures will likely be taken only if reliable estimates regarding future energy demand from different scenarios are available. The energy demand for space heating and cooling is determined by a combination of behavioral, climatic, constructional, and demographic factors. For two countries, namely Germany and the Netherlands, we analyze the combined effect of future climate and building stock changes as well as renovation measures on the future energy demand for room conditioning of residential buildings until 2060. We show how much the heating energy demand will decrease in the future and answer the question of whether the energy decrease will be exceeded by an increase in cooling energy demand. Based on a sensitivity analysis, we determine those influencing factors with the largest impact on the future energy demand from the building stock. Both countries have national targets regarding the reduction of the energy demand for the future. We provide relevant information concerning the annual renovation rates that are necessary to reach these targets. Retrofitting buildings is a win-win option as it not only helps to mitigate climate change and to lower the dependency on fossil fuels but also transforms the buildings stock into one that is better equipped for extreme temperatures that may occur more frequently with climate change. For the Netherlands, the study concentrates not only on the national, but also the provincial level, which should facilitate directed policy measures. Moreover, the analysis is done on a monthly basis in order to ascertain a deeper understanding of the future seasonal energy demand changes. Our approach constitutes an important first step towards deeper insights into the internal dynamics

An analytical approach to activating demand elasticity with a demand response mechanism

International Nuclear Information System (INIS)

Clastres, Cedric; Khalfallah, Haikel

2015-01-01

The aim of this work is to demonstrate analytically the conditions under which activating the elasticity of consumer demand could benefit social welfare. We have developed an analytical equilibrium model to quantify the effect of deploying demand response on social welfare and energy trade. The novelty of this research is that it demonstrates the existence of an optimal area for the price signal in which demand response enhances social welfare. This optimal area is negatively correlated to the degree of competitiveness of generation technologies and the market size of the system. In particular, it should be noted that the value of un-served energy or energy reduction which the producers could lose from such a demand response scheme would limit its effectiveness. This constraint is even greater if energy trade between countries is limited. Finally, we have demonstrated scope for more aggressive demand response, when only considering the impact in terms of consumer surplus. (authors)

Demanding Dynamics - Demand articulation of intermediary organisations in emerging pharmaceutical innovations

NARCIS (Netherlands)

Boon, W.P.C.

2008-01-01

User involvement in emerging technological fields is carried by so-called demand articulation processes. These demand articulation processes are interactive learning processes in which stakeholders try to address what they perceive as important characteristics of, and to unravel preferences for an

Ad libitum or demand/semi-demand feeding versus scheduled interval feeding for preterm infants.

Science.gov (United States)

McCormick, Felicia M; Tosh, Karen; McGuire, William

2010-02-17

Scheduled interval feeding of prescribed enteral volumes is current standard practice for preterm infants. However, feeding preterm infants in response to their hunger and satiation cues (ad libitum or demand/semi demand) rather than at scheduled intervals might help in the establishment of independent oral feeding, increase nutrient intake and growth rates, and allow earlier hospital discharge. To assess the effect of a policy of feeding preterm infants on an ad libitum or demand/semi-demand basis versus feeding prescribed volumes at scheduled intervals on growth rates and the time to hospital discharge. We used the standard search strategy of the Cochrane Neonatal Review Group. This included searches of the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, Issue 4, 2009), MEDLINE (1966 to Oct 2009), EMBASE (1980 to Oct 2009), CINAHL (1982 to Oct 2009), conference proceedings, and previous reviews. Randomised or quasi-randomised controlled trials (including cluster randomised trials) that compared a policy of feeding preterm infants on an ad libitum or demand/semi-demand basis versus feeding at scheduled intervals. We used the standard methods of the Cochrane Neonatal Review Group with separate evaluation of trial quality and data extraction by two review authors. We found eight randomised controlled trials that compared ad libitum or demand/semi-demand regimens with scheduled interval regimes in preterm infants in the transition phase from intragastric tube to oral feeding. The trials were generally small and of variable methodological quality. The duration of the intervention and the duration of data collection and follow-up in most of the trials was not likely to have allowed detection of measurable effects on growth. Three trials reported that feeding preterm infants using an ad libitum or demand/semi-demand feeding regimen allowed earlier discharge from hospital (by about two to four days) but other trials did not confirm this

The relationship between demand and need for orthodontic treatment in high school students in Bangkok.

Science.gov (United States)

Atisook, Pitraporn; Chuacharoen, Rattiya

2014-07-01

Orthodontic service is limited in Thailand and cannot meet the demand of the population. (1) To assess the need for orthodontic treatment (OT) using the Index of Orthodontic Treatment Need (IOTN) to analyze the relationship between demand and need for OT and (2) to compare the demand and need for OT between genders. A cross-sectional study was conducted on 450 students aged 12- to 14-years-old in three government high schools in Bangkok. A constructed questionnaire was used to assess demand for OT Clinical examination was done by two orthodontists to determine the needfor OT using the IOTN RESULTS: Most of the students (74.0%) wished to have OT while only one-third (37.5%) had severe need, and one-third (34.4%) had moderate need for OT as judge by the DHC of the IOTN. The AC of the IOTN indicated that most students (55.8%) had mild or no need for OT Females (79%) demanded OT more than males (66% p-value = 0.033) but the need was similar in both sexes. Most functional factors had strong relationships with the demand for OTexcept lower teeth bite on palate, but none was found to be associated with need for OT All of the aesthetic factors had strong relationships with demand for OT There were significant relationships with needs in five categories, 1) crooked, crowded, or spacing teeth, 2) worried when speaking or smiling, 3) had suggestedfor OT 4) breath smell and halitosis, and 5) wanted to put on braces to be like other people or for fashionable reasons. Most of the students requested OT but females had significantly higher demand for OT than males. Most of the samples needed to have OT The aesthetic factors that had strong relationships with the need for OT were 1) crooked, crowded, or spacing teeth, 2) worried when speaking or smiling, 3) had suggested for T07 4) breath smell and halitosis, and 5) wanted to put on braces to be like otherpeople orfor fashionable reasons.

How job demands affect absenteeism? The mediating role of work-family conflict and exhaustion.

Science.gov (United States)

Vignoli, Michela; Guglielmi, Dina; Bonfiglioli, Roberta; Violante, Francesco Saverio

2016-01-01

To investigate how psychosocial factors (such as job demands and work-family conflict) produce absenteeism in the workplace, using the health impairment process of the job demands-resources model. According to this model, job demands lead to burnout (often measured with the emotional exhaustion component), which in turn could lead to outcomes (such as absenteeism). Work-family conflict (WFC) was also studied, because of contradictory results collected in the existing literature on absenteeism in the workplace, regarding the role of WFC in causing absenteeism. Data were collected on 245 workers using both subjective (questionnaire on psychological risk factors and work-related health) and objective data (sickness leave frequency records). To test the hypothesis that job demands and WFC contribute to absenteeism in the workplace, a subsequent mediation analysis was used, which analysed both (a) the subsequent mediation of WFC and emotional exhaustion and (b) the separate roles played by the mediators proposed (WFC and emotional exhaustion). Job demands affect absenteeism through the subsequent mediation of WFC and emotional exhaustion. In addition, emotional exhaustion mediates the relationship between job demands and absenteeism, while WFC does not. In conclusion, subsequent mediation highlights the role of emotional exhaustion in causing absenteeism; in fact, when emotional exhaustion is included in the analysis, job demands are associated with higher levels of absenteeism. The results of this study suggest that without the concurrent contribution of emotional exhaustion, WFC does not influence absenteeism in the workplace. Our findings are useful for organizations that aim to reduce absenteeism.

Comparison of particle swarm optimization and other metaheuristics on electricity demand estimation: A case study of Iran

International Nuclear Information System (INIS)

Askarzadeh, Alireza

2014-01-01

The importance of energy demand estimation stems from energy planning, formulating strategies and recommending energy policies. Most often, energy demand is mathematically formulated by socio-economic indicators. The challenging problem is to determine the optimal or near optimal weighting factors. Inspired by social behavior of bird flocking or fish schooling, PSO (particle swarm optimization) is a population-based search technique which has attracted significant attention to tackle the complexity of difficult optimization problems. This paper studies the performance of different PSO variants for estimating Iran's electricity demand. Seven PSO variants namely, original PSO, PSO-w (PSO with weighting factor), PSO-cf (PSO with constriction factor), PSO-rf (PSO with repulsion factor), PSO-vc (PSO with velocity control), CLPSO (comprehensive learning PSO) and a MPSO (modified PSO), are used to find the unknown weighting factors based on the data from 1982 to 2003. The validation process is then conducted by testing the optimized models by using the data from 2004 to 2009. It is seen that PSO-vc produces more promising results than the other variants, HS (harmony search) and ABSO (artificial bee swarm optimization) algorithms in terms of MAPE (mean absolute percentage error). This value is obtained 2.47 and 2.50 for the exponential and quadratic models, respectively. - Highlights: • Electricity demand estimation is modelled using socio-economic indicators. • Different PSO variants are investigated in terms of accuracy. • Exponential model can estimate the Iran's electricity demand with high accuracy. • PSO with velocity control produces more accurate result than the others

Modified Normal Demand Distributions in (R,S)-Inventory Models

NARCIS (Netherlands)

Strijbosch, L.W.G.; Moors, J.J.A.

2003-01-01

To model demand, the normal distribution is by far the most popular; the disadvantage that it takes negative values is taken for granted.This paper proposes two modi.cations of the normal distribution, both taking non-negative values only.Safety factors and order-up-to-levels for the familiar (R,

Physically demanding work, fetal growth and the risk of adverse birth outcomes. The Generation R Study

NARCIS (Netherlands)

C.A. Snijder (Claudia); T. Brand (Teus); V.W.V. Jaddoe (Vincent); A. Hofman (Albert); J.P. Mackenbach (Johan); E.A.P. Steegers (Eric); A. Burdorf (Alex)

2012-01-01

textabstractObjectives: Work-related risk factors, such as long work hours, and physically demanding work have been suggested to adversely influence pregnancy outcome. The authors aimed to examine associations between various aspects of physically demanding work with fetal growth in different

Relationship between musculoskeletal disorders, job demands, and burnout among emergency nurses.

Science.gov (United States)

Sorour, Amany Sobhy; El-Maksoud, Mona M Abd

2012-01-01

Musculoskeletal disorders (MSDs) represent one of the most common occupational problems in nursing. MSDs can negatively impact one's quality of life. The aim of the study was to investigate the relationship between MSDs, job demands, and burnout among emergency nurses. The researchers hypothesized that increased job demands were associated with more MSDs and consequently higher levels of burnout. The study was conducted on a convenience sample of 58 nurses working in the emergency departments of Zagazig University Hospital and Al-Ahrar, Hospital Egypt from October to December 2010, using a cross-sectional analytic design. Data were collected using a self-administered questionnaire that included the Standardized Nordic Questionnaire, the Job Content Questionnaire, and the Maslach Burnout Inventory. The results revealed that 32.8% of the nurses were overweight and 17.2% were obese. The most common sites of pain were the neck (67.2%), shoulder (65.5%), and lower back (63.8%). Lower back pain was the most common site affected (72.4%) with a mean 5.1 on a scale ranging from 0 to 13. A positive correlation existed between the scores of job demand and burnout (r = 0.340, p burnout whereas the job demand score was the independent predictor of the number of MSDs. This study documents an increased prevalence of MSDs among emergency nurses, as predicted by increased job demand and associated with a higher level of burnout. Hence, it is important for hospital and nursing administrators to address the factors contributing to job stress and burnout, with emphasis on job satisfaction and work organization to alleviate the burden of psychosocial factors in this setting.

Demand forecasting for automotive sector in Malaysia by system dynamics approach

International Nuclear Information System (INIS)

Zulkepli, Jafri; Abidin, Norhaslinda Zainal; Fong, Chan Hwa

2015-01-01

In general, Proton as an automotive company needs to forecast future demand of the car to assist in decision making related to capacity expansion planning. One of the forecasting approaches that based on judgemental or subjective factors is normally used to forecast the demand. As a result, demand could be overstock that eventually will increase the operation cost; or the company will face understock, which resulted losing their customers. Due to automotive industry is very challenging process because of high level of complexity and uncertainty involved in the system, an accurate tool to forecast the future of automotive demand from the modelling perspective is required. Hence, the main objective of this paper is to forecast the demand of automotive Proton car industry in Malaysia using system dynamics approach. Two types of intervention namely optimistic and pessimistic experiments scenarios have been tested to determine the capacity expansion that can prevent the company from overstocking. Finding from this study highlighted that the management needs to expand their production for optimistic scenario, whilst pessimistic give results that would otherwise. Finally, this study could help Proton Edar Sdn. Bhd (PESB) to manage the long-term capacity planning in order to meet the future demand of the Proton cars

Demand forecasting for automotive sector in Malaysia by system dynamics approach

Energy Technology Data Exchange (ETDEWEB)

Zulkepli, Jafri, E-mail: zhjafri@uum.edu.my; Abidin, Norhaslinda Zainal, E-mail: nhaslinda@uum.edu.my [School of Quantitative Sciences, Universiti Utara Malaysia, Sintok, Kedah (Malaysia); Fong, Chan Hwa, E-mail: hfchan7623@yahoo.com [SWM Environment Sdn. Bhd.Level 17, Menara LGB, Taman Tun Dr. Ismail Kuala Lumpur (Malaysia)

2015-12-11

In general, Proton as an automotive company needs to forecast future demand of the car to assist in decision making related to capacity expansion planning. One of the forecasting approaches that based on judgemental or subjective factors is normally used to forecast the demand. As a result, demand could be overstock that eventually will increase the operation cost; or the company will face understock, which resulted losing their customers. Due to automotive industry is very challenging process because of high level of complexity and uncertainty involved in the system, an accurate tool to forecast the future of automotive demand from the modelling perspective is required. Hence, the main objective of this paper is to forecast the demand of automotive Proton car industry in Malaysia using system dynamics approach. Two types of intervention namely optimistic and pessimistic experiments scenarios have been tested to determine the capacity expansion that can prevent the company from overstocking. Finding from this study highlighted that the management needs to expand their production for optimistic scenario, whilst pessimistic give results that would otherwise. Finally, this study could help Proton Edar Sdn. Bhd (PESB) to manage the long-term capacity planning in order to meet the future demand of the Proton cars.

Technical Demand of Commercial Paddy Farmers in the Context of Labor Transfer

OpenAIRE

Feng, Liang-xuan; Qi, Zhen-hong; Tian, Yun; Zhou, Hui

2012-01-01

On the basis of document research, we summed up factors of technical demand of commercial paddy farmers to four aspects: individual characteristics of farmers, natural endowment of resources, factors related to risks, and information factor. Then, we put forward relevant hypotheses. From survey results of 241 farmer households in 4 southwestern provinces (regions), by the binary logistic regression analysis method, we empirically studied influences of the above four factors on technical deman...

Quantitative relations between chemical oxygen demand concentration and its influence factors in the sluice-controlled river reaches of Shaying River, China.

Science.gov (United States)

Dou, Ming; Li, Guiqiu; Li, Congying

2015-01-01

Recent research on the effects of dam and sluice construction on the water environment has attracted extensive attention from academia and governments alike. Because the operation of sluices greatly alters environmental factors such as water flow and sediment load, the water quality in sluice-controlled river reaches (SCRRs) undergoes complex changes compared with those in normal reaches. This work used river reaches near the Huaidian Sluice in Shaying River of China as a case study to analyse the effects of sluice operation on water quality evolution in SCRRs. The most influential factors affecting the rate of change in chemical oxygen demand (COD) concentration in SCRRs were identified through water quality monitoring experiments performed under various modes of sluice operation and by applying a statistical method 'partial correlation analysis'. Then, a hydrodynamic model incorporating sluice operation and a water quality transport and transform model incorporating the release of endogenous loads were developed. Using these two models, the processes of temporal and spatial change of COD concentrations in the SCRRs were simulated under various scenarios designed to represent the dominant factors of influence. Finally, the simulation results were used to develop empirical relationships between the rate of change in COD concentrations and the dominant factors of influence. The results reveal that three factors, i.e., water inflow concentration, gate opening size, and gate opening number, are the dominant factors of influence, and there are logarithmic relationships between the rate of change in COD concentration in the SCRRs and these factors.

Scenarios for Demand Growth of Metals in Electricity Generation Technologies, Cars, and Electronic Appliances.

Science.gov (United States)

Deetman, Sebastiaan; Pauliuk, Stefan; van Vuuren, Detlef P; van der Voet, Ester; Tukker, Arnold

2018-04-17

This study provides scenarios toward 2050 for the demand of five metals in electricity production, cars, and electronic appliances. The metals considered are copper, tantalum, neodymium, cobalt, and lithium. The study shows how highly technology-specific data on products and material flows can be used in integrated assessment models to assess global resource and metal demand. We use the Shared Socio-economic Pathways as implemented by the IMAGE integrated assessment model as a starting point. This allows us to translate information on the use of electronic appliances, cars, and renewable energy technologies into quantitative data on metal flows, through application of metal content estimates in combination with a dynamic stock model. Results show that total demand for copper, neodymium, and tantalum might increase by a factor of roughly 2 to 3.2, mostly as a result of population and GDP growth. The demand for lithium and cobalt is expected to increase much more, by a factor 10 to more than 20, as a result of future (hybrid) electric car purchases. This means that not just demographics, but also climate policies can strongly increase metal demand. This shows the importance of studying the issues of climate change and resource depletion together, in one modeling framework.

Scenarios for Demand Growth of Metals in Electricity Generation Technologies, Cars, and Electronic Appliances

Science.gov (United States)

2018-01-01

This study provides scenarios toward 2050 for the demand of five metals in electricity production, cars, and electronic appliances. The metals considered are copper, tantalum, neodymium, cobalt, and lithium. The study shows how highly technology-specific data on products and material flows can be used in integrated assessment models to assess global resource and metal demand. We use the Shared Socio-economic Pathways as implemented by the IMAGE integrated assessment model as a starting point. This allows us to translate information on the use of electronic appliances, cars, and renewable energy technologies into quantitative data on metal flows, through application of metal content estimates in combination with a dynamic stock model. Results show that total demand for copper, neodymium, and tantalum might increase by a factor of roughly 2 to 3.2, mostly as a result of population and GDP growth. The demand for lithium and cobalt is expected to increase much more, by a factor 10 to more than 20, as a result of future (hybrid) electric car purchases. This means that not just demographics, but also climate policies can strongly increase metal demand. This shows the importance of studying the issues of climate change and resource depletion together, in one modeling framework. PMID:29533657

A literature review of demand studies in world oil markets

International Nuclear Information System (INIS)

Atkins, F.; Tayyebi Jazayeri, S.M.

2004-04-01

The literature on world oil market demands was reviewed, summarized and organized into seven major groupings. The objective was to model economic behaviour before and after price shocks. In particular, the paper demonstrated how the price elasticity of demand in world oil markets is estimated. It also showed how the relationship between energy and oil consumption and income are estimated. The income elasticity of demand was also estimated, and empirical estimates of the elasticity of aggregate output regarding crude oil and energy prices were presented. The paper also referred to the transportation sector and estimates of the changing nature of seasonal factors. The review showed that there is much heterogeneity of econometric results. The literature showed that demand increased considerably in response to the price shocks of the 1970s, but these shocks were reversed in the 1980s when the increase in demand did not correspond with the decrease in price. Some of the literature is driven by the belief that there must be a stable, non-linear model that fits the data both before and after price shocks. The authors question whether this could be true and propose an alternative hypothesis that there is a different model that pertains to economic behaviour after price shocks. 15 refs., 7 tabs., 1 fig

26 CFR 1.453-3 - Purchaser evidences of indebtedness payable on demand or readily tradable.

Science.gov (United States)

2010-04-01

... obligation (determined by taking into account all relevant factors, including proper discount to reflect the... demand or readily tradable. 1.453-3 Section 1.453-3 Internal Revenue INTERNAL REVENUE SERVICE, DEPARTMENT... Income Included § 1.453-3 Purchaser evidences of indebtedness payable on demand or readily tradable. (a...

Effect of Health Insurance on Demand for Outpatient Medical Care in ...

African Journals Online (AJOL)

ahavugimana

objective of this paper is to examine factors influencing outpatient care demand in ..... Endogeneity of health insurance arises because the decision to purchase health ... insurance plan, or by purchasing privately a generous coverage. Existing ...

Task demand, task management, and teamwork

Energy Technology Data Exchange (ETDEWEB)

Braarud, Per Oeivind; Brendryen, Haavar

2001-03-15

The current approach to mental workload assessment in process control was evaluated in 3 previous HAMMLAB studies, by analysing the relationship between workload related measures and performance. The results showed that subjective task complexity rating was related to team's control room performance, that mental effort (NASA-TLX) was weakly related to performance, and that overall activity level was unrelated to performance. The results support the argument that general cognitive measures, i.e., mental workload, are weakly related to performance in the process control domain. This implies that other workload concepts than general mental workload are needed for valid assessment of human reliability and for valid assessment of control room configurations. An assessment of task load in process control suggested that how effort is used to handle task demand is more important then the level of effort invested to solve the task. The report suggests two main workload related concepts with a potential as performance predictors in process control: task requirements, and the work style describing how effort is invested to solve the task. The task requirements are seen as composed of individual task demand and team demand. In a similar way work style are seen as composed of individual task management and teamwork style. A framework for the development of the concepts is suggested based on a literature review and experiences from HAMMLAB research. It is suggested that operational definitions of workload concepts should be based on observable control room behaviour, to assure a potential for developing performance-shaping factors. Finally an explorative analysis of teamwork measures and performance in one study indicated that teamwork concepts are related to performance. This lends support to the suggested development of team demand and teamwork style as elements of a framework for the analysis of workload in process control. (Author)

A model of the demand for Islamic banks debt-based financing instrument

Science.gov (United States)

Jusoh, Mansor; Khalid, Norlin

2013-04-01

This paper presents a theoretical analysis of the demand for debt-based financing instruments of the Islamic banks. Debt-based financing, such as through baibithamanajil and al-murabahah, is by far the most prominent of the Islamic bank financing and yet it has been largely ignored in Islamic economics literature. Most studies instead have been focusing on equity-based financing of al-mudharabah and al-musyarakah. Islamic bank offers debt-based financing through various instruments derived under the principle of exchange (ukud al-mu'awadhat) or more specifically, the contract of deferred sale. Under such arrangement, Islamic debt is created when goods are purchased and the payments are deferred. Thus, unlike debt of the conventional bank which is a form of financial loan contract to facilitate demand for liquid assets, this Islamic debt is created in response to the demand to purchase goods by deferred payment. In this paper we set an analytical framework that is based on an infinitely lived representative agent model (ILRA model) to analyze the demand for goods to be purchased by deferred payment. The resulting demand will then be used to derive the demand for Islamic debt. We also investigate theoretically, factors that may have an impact on the demand for Islamic debt.

Demand-Side Flexibility for Energy Transitions: Ensuring the Competitive Development of Demand Response Options

OpenAIRE

Nursimulu, Anjali; Florin, Marie-Valentine; Vuille, François

2015-01-01

This report provides an overview of the current debates about demand response development, focusing primarily on Europe, with some comparisons to the United States. ‘Demand response’ includes strategies that involve end-use customers adapting or altering their electricity demand in response to grid conditions or market prices. It is viewed as a multi-purpose power-system resource that enhances the energy system’s capacity to cope with increasing demand, rising costs of conventional transmissi...

Task parameters affecting ergonomic demands and productivity of HVAC duct installation.

Science.gov (United States)

Mitropoulos, Panagiotis; Hussain, Sanaa; Guarascio-Howard, Linda; Memarian, Babak

2014-01-01

Mechanical installation workers experience work-related musculoskeletal disorders (WMSDs) at high rates. (1) Quantify the ergonomic demands during HVAC installation, (2) identify the tasks and task parameters that generated extreme ergonomic demands, and (3) propose improvements to reduce the WMSDs among mechanical workers. The study focused on installation of rectangular ductwork components using ladders, and analyzed five operations by two mechanical contractors. Using continuous time observational assessment, the videotaped operations were analyzed along two dimensions: (1) the production tasks and durations, and (2) the ergonomic demands for four body regions (neck, arms/shoulders, back, and knees). The analysis identified tasks with low portion of productive time and high portion of extreme postures, and task parameters that generated extreme postures. Duct alignment was the task with the highest portion of extreme postures. The position of the ladder (angle and distance from the duct) was a task parameter that strongly influenced the extreme postures for back, neck and shoulders. Other contributing factors included the difficulty to reach the hand tools when working on the ladder, the congestion of components in the ceiling, and the space between the duct and the ceiling. The identified tasks and factors provide directions for improvement.

Physically demanding work, fetal growth and the risk of adverse birth outcomes. The Generation R Study

NARCIS (Netherlands)

Snijder, Claudia A.; Brand, Teus; Jaddoe, Vincent; Hofman, Albert; Mackenbach, Johan P.; Steegers, Eric A. P.; Burdorf, Alex

2012-01-01

Objectives Work-related risk factors, such as long work hours, and physically demanding work have been suggested to adversely influence pregnancy outcome. The authors aimed to examine associations between various aspects of physically demanding work with fetal growth in different trimesters during

Achieving a Launch on Demand Capability

Science.gov (United States)

Greenberg, Joel S.

2002-01-01

The ability to place payloads [satellites] into orbit as and when required, often referred to as launch on demand, continues to be an elusive and yet largely unfulfilled goal. But what is the value of achieving launch on demand [LOD], and what metrics are appropriate? Achievement of a desired level of LOD capability must consider transportation system thruput, alternative transportation systems that comprise the transportation architecture, transportation demand, reliability and failure recovery characteristics of the alternatives, schedule guarantees, launch delays, payload integration schedules, procurement policies, and other factors. Measures of LOD capability should relate to the objective of the transportation architecture: the placement of payloads into orbit as and when required. Launch on demand capability must be defined in probabilistic terms such as the probability of not incurring a delay in excess of T when it is determined that it is necessary to place a payload into orbit. Three specific aspects of launch on demand are considered: [1] the ability to recover from adversity [i.e., a launch failure] and to keep up with the steady-state demand for placing satellites into orbit [this has been referred to as operability and resiliency], [2] the ability to respond to the requirement to launch a satellite when the need arises unexpectedly either because of an unexpected [random] on-orbit satellite failure that requires replacement or because of the sudden recognition of an unanticipated requirement, and [3] the ability to recover from adversity [i.e., a launch failure] during the placement of a constellation into orbit. The objective of this paper is to outline a formal approach for analyzing alternative transportation architectures in terms of their ability to provide a LOD capability. The economic aspect of LOD is developed by establishing a relationship between scheduling and the elimination of on-orbit spares while achieving the desired level of on

Electricity demand for South Korean residential sector

International Nuclear Information System (INIS)

Sa'ad, Suleiman

2009-01-01

This study estimates the electricity demand function for the residential sector of South Korea with the aim of examining the effects of improved energy efficiency, structural factors and household lifestyles on electricity consumption. In the study, time series data for the period from 1973 to 2007 is used in a structural time series model to estimate the long-term price and income elasticities and annual growth of underlying energy demand trend (UEDT) at the end of the estimation period. The result shows a long-term income elasticity of 1.33 and a long-term price elasticity of -0.27% with -0.93% as the percentage growth of UEDT at the end of the estimation period. This result suggests that, in order to encourage energy efficiency in the residential sector, the government should complement the market based pricing policies with non-market policies such as minimum energy efficiency standards and public enlightenment.

On energy demand

International Nuclear Information System (INIS)

Haefele, W.

1977-01-01

Since the energy crisis, a number of energy plans have been proposed, and almost all of these envisage some kind of energy demand adaptations or conservation measures, hoping thus to escape the anticipated problems of energy supply. However, there seems to be no clear explanation of the basis on which our foreseeable future energy problems could be eased. And in fact, a first attempt at a more exact definition of energy demand and its interaction with other objectives, such as economic ones, shows that it is a highly complex concept which we still hardly understand. The article explains in some detail why it is so difficult to understand energy demand

The influence of proximity on the potential demand for vegetable oil as a diesel substitute: A rural survey in West Africa

International Nuclear Information System (INIS)

Litvine, Dorian; Dabat, Marie-Helene; Gazull, Laurent

2013-01-01

Bio-energy demand is known to be influenced by geographical origin and social equity. This paper aims to highlight the influence of the proximity between biomass production and energy consumption on the demand for alternative bio-fuels. In the context of Burkina Faso, we explore potential demand for vegetable oil (Jatropha Curcas) as a diesel substitute among engine owners. Survey data are based on a between-groups design: one group of respondents experiencing a local supply chain, while the other a global one. Results show that proximity has a significant effect on potential demand itself and on the formation and strength of beliefs regarding vegetable oil. In a local supply chain context, the demand is superior and seems to be guided more by a certain economic and technical rationality. Conversely, the prospect of a vegetable oil produced outside the village restrains demand and this latter is more determined by contextual factors and social interaction. Our analysis confirms that demand does not only depend on technical and economic factors such as price but also on the integration of the biomass production and processing in the socioeconomic life of local rural populations. Understanding demand construction and assessing underlying beliefs are key success factors for bio-energy projects. (authors)

27 CFR 70.803 - Requests or demands for disclosure in testimony and in related matters.

Science.gov (United States)

2010-04-01

... TTB officer concerning the response to the demand. If it is determined by the appropriate TTB officer... the requirement of this paragraph. (5) Factors to be considered in determining whether a request or... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Requests or demands for...

Demand for long acting and permanent methods of contraceptives and factors for non-use among married women of Goba Town, Bale Zone, South East Ethiopia.

Science.gov (United States)

Takele, Abulie; Degu, Getu; Yitayal, Mezgebu

2012-10-29

Contraceptive use including short acting, long acting and permanent methods positively influence the socio-economic development of a nation by allowing families to space and limit their family size to their economic capacity. Demand for LAPMs of contraception as detrmined by utilization and unmet need for LAPMs of contraception can provide realiable information for providers. To determine the utilization of long acting and permanent contraception and its associated factors among married women of Goba town, South East Ethiopia. A cross sectional community based study was conducted among 734 systematically selected married women of reproductive age in Goba town in September/ 2009. A structured and pretested, interview questionaire was used to collect data on socio-demographic, behavioral factors and data related to demand for LAPMs of contraception. Data were analyzed using EPI INFO and SPSS version 16. The demand for Long Acting and Permanent Methods (LAPMs) of contraception was 18.1%. Utilization of LAPMs of contraception in the town was 64 (8.7%) and the unmet need for LAPMs was 69 (9.4%). Information on LAPMs in the town was 636 (86.6%). Media (radio and television) was the major sources of information 641 (87.3%). The use of LAPMs was significatly associated with ever use AOR[17.43, 95% CI:9.19, 33.03], number of times discussions made on methods AOR[4.6, 95% CI: 1.72,12.17] and main decider of using methods AOR[ 2.2, 95% CI:1.03, 4.65]. It was not associated with socio-demographic variables. The utilization of LAPMs in the town was less although higher than the Ethiopian demographic and health survey 2005 result. Moreover, there was a considerable unmet need. Increase the method mix of LAPMs by incorporating varaies of implnats in order to increase utilization. Proper counseling of client and partners discussion were some of the recommendation forwarded.

The Distributed Geothermal Market Demand Model (dGeo): Documentation

Energy Technology Data Exchange (ETDEWEB)

McCabe, Kevin [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Mooney, Meghan E [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Sigrin, Benjamin O [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Gleason, Michael [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Liu, Xiaobing [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

2017-11-06

The National Renewable Energy Laboratory (NREL) developed the Distributed Geothermal Market Demand Model (dGeo) as a tool to explore the potential role of geothermal distributed energy resources (DERs) in meeting thermal energy demands in the United States. The dGeo model simulates the potential for deployment of geothermal DERs in the residential and commercial sectors of the continental United States for two specific technologies: ground-source heat pumps (GHP) and geothermal direct use (DU) for district heating. To quantify the opportunity space for these technologies, dGeo leverages a highly resolved geospatial database and robust bottom-up, agent-based modeling framework. This design is consistent with others in the family of Distributed Generation Market Demand models (dGen; Sigrin et al. 2016), including the Distributed Solar Market Demand (dSolar) and Distributed Wind Market Demand (dWind) models. dGeo is intended to serve as a long-term scenario-modeling tool. It has the capability to simulate the technical potential, economic potential, market potential, and technology deployment of GHP and DU through the year 2050 under a variety of user-defined input scenarios. Through these capabilities, dGeo can provide substantial analytical value to various stakeholders interested in exploring the effects of various techno-economic, macroeconomic, financial, and policy factors related to the opportunity for GHP and DU in the United States. This report documents the dGeo modeling design, methodology, assumptions, and capabilities.

The experience of demanding work environments in younger workers.

Science.gov (United States)

Winding, T N; Labriola, M; Nohr, E A; Andersen, J H

2015-06-01

Investigating whether certain individual or background characteristics are associated with an increased risk of experiencing an excessively demanding work environment in younger workers may help to reduce future inequality in health and maximize their labour market participation. To describe the work environment of Danish 20- to 21-year olds and to investigate the influence of family socioeconomic background and individual characteristics at age 14-15 on later experience of physical and psychosocial work environments. We obtained information on subjects' school performance, vulnerability, health and parental socioeconomic status from registers and a questionnaire completed in 2004. A questionnaire concerning eight measures of subjects' psychosocial and physical work environment in 2010 was used to determine the outcomes of interest. The study population consisted of 679 younger workers aged 20-21. The psychosocial work environment was in general good but younger workers experienced more demanding physical work than the general working population. Overall, individual as well as family factors had a limited impact on their assessment of the work environment. Low self-esteem at age 14-15 was associated with experiencing high demands and lack of trust and fairness at work, whereas low parental socioeconomic status was associated with a demanding physical work environment. This study showed a social gradient in experiencing a demanding physical work environment at age 20-21. The psychosocial work environment experienced by younger workers was generally good, but vulnerable young people may need special attention to protect them from or prepare them for psychosocially demanding jobs later in life. © The Author 2015. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Modeling and analysis of long term energy demands in residential sector of pakistan

International Nuclear Information System (INIS)

Rashid, T.; Sahir, M.H.

2015-01-01

Residential sector is the core among the energy demand sectors in Pakistan. Currently, various techniques are being used worldwide to assess future energy demands including integrated system modeling (ISM). Therefore, the current study is focused on implementation of ISM approach for future energy demand analysis of Pakistan's residential sector in terms of increase in population, rapid urbanization, household size and type, and increase/decrease in GDP. A detailed business-as-usual (BAU) model is formulated in TIMES energy modeling framework using different factors like growth in future energy services, end-use technology characterization, and restricted fuel supplies. Additionally, the developed model is capable to compare the projected energy demand under different scenarios e.g. strong economy, weak economy and energy efficiency. The implementation of ISM proved a viable approach to predict the future energy demands of Pakistan's residential sector. Furthermore, the analysis shows that the energy consumption in the residential sector would be 46.5 Mtoe (Million Ton of Oil Equivalent) in 2040 compared to 23 Mtoe of the base year (2007) along with 600% increase in electricity demands. The study further maps the potential residential energy policies to congregate the future demands. (author)

Dynamically Switching among Bundled and Single Tickets with Time-Dependent Demand Rates

Directory of Open Access Journals (Sweden)

Serhan Duran

2012-01-01

Full Text Available The most important market segmentation in sports and entertainment industry is the competition between customers that buy bundled and single tickets. A common selling practice is starting the selling season with bundled ticket sales and switching to selling single tickets later on. The aim of this practice is to increase the number of customers that buy bundles, which in return increases the load factor of the events with low demand. In this paper, we investigate the effect of time dependent demand on dynamic switching times from bundled to single ticket sales and the potential revenue gain over the case where the demand rate of events is assumed to be constant with time.

The energy demand in the Netherlands

International Nuclear Information System (INIS)

Stoffers, M.J.

1992-01-01

Based on three scenarios for the global and economic developments the CPB (Dutch Central Planning Bureau) made projections of the Dutch energy demand to the year 2015. Factors of interest are the development of the energy prices, sectoral analysis of the economic growth and the government policy. The scenarios are Balanced Growth, characterized by a strong economic growth, sustainable economic development, and a dynamic technological development, the Global Shift scenario, characterized by a very dynamic technological development, and the European Renaissance scenario with a less dynamic development. 2 ills., 5 tabs., 2 refs

Analysis and Strategies of the Unbalance of the Supply and Demand in the Higher Education Market of China

Science.gov (United States)

Ma, Jie

2010-01-01

The popularization of higher education largely impacts the balance of the supply and demand of the China higher education market. Starting from the basic concepts of the supply and demand of higher education, the actuality and influencing factors of the supply and demand in China higher education market are analyzed in this article, and…

Estimating Price Elasticity of Demand for Motor Fuel in the Transport Sectors

Directory of Open Access Journals (Sweden)

Olga Vasilyevna Mazurova

2015-03-01

Full Text Available Modeling of long-term forecasts of prices and demand on regional energy markets requires accounting for the future changes in the interactions between the greater economy and its energy sector, along with the possible emergence of new factors and specific regional features determining those interactions. The proposed approach allows the study of a correlation between demand and prices for motor fuel, taking into account the competition of energy carriers, the dynamics of energy prices, resource constraints, the use of new technologies and the uncertainty of input data. The main feature of the proposed approach is the combined estimation of the price elasticity of demand for motor fuel with optimization of fuel supply in the region. Thus the author determined elasticity of demand based on the comparison of economic efficiency of the use of different fuels. The study includes results of experimental calculations and forecasted price according to demand for motor fuel in freight transportation for the expected development conditions of the Far Eastern federal district

Education: Demand and Supply of Teachers for Primary Schools in ...

African Journals Online (AJOL)

How to ensure Nigerians have access to Universal Basic Education has often attracted the attention of some States and Federal Government of Nigeria since 1955. Several factors, bordering on supply of teachers, facilities, finance have constrained implementation of well fashioned policies. Demand and supply of teachers ...

Consumer demand in the Industrial Revolution : The Netherlands, 1815-1913

NARCIS (Netherlands)

Bonenkamp, Jan P.M.; Jacobs, Jan P.A.M.; Smits, Jan-Pieter

2005-01-01

The industrial revolution is mostly seen as a supply side phenomenon. Ever since Gilboy stated that factors of demand may have been equally important, scholars have stressed the importance of investments and technological change. This paper re-considers Gilboy’s ideas, using the dataset of the Dutch

Price elasticity matrix of demand in power system considering demand response programs

Science.gov (United States)

Qu, Xinyao; Hui, Hongxun; Yang, Shengchun; Li, Yaping; Ding, Yi

2018-02-01

The increasing renewable energy power generations have brought more intermittency and volatility to the electric power system. Demand-side resources can improve the consumption of renewable energy by demand response (DR), which becomes one of the important means to improve the reliability of power system. In price-based DR, the sensitivity analysis of customer’s power demand to the changing electricity prices is pivotal for setting reasonable prices and forecasting loads of power system. This paper studies the price elasticity matrix of demand (PEMD). An improved PEMD model is proposed based on elasticity effect weight, which can unify the rigid loads and flexible loads. Moreover, the structure of PEMD, which is decided by price policies and load types, and the calculation method of PEMD are also proposed. Several cases are studied to prove the effectiveness of this method.

Market architecture and power demand management

International Nuclear Information System (INIS)

Rious, Vincent; Roques, Fabien

2014-12-01

Demand response is a cornerstone problem in electricity markets considering climate change constraint. Most liberalized electricity markets have a poor track record at developing demand response. In Europe, different models are considered for demand response, from a development under a regulated regime to a development under competitive perspectives. In this paper, focusing on demand response for mid-size and small consumers, we investigate which types of market signals should be sent to demand response aggregators to see demand response emerge as a competitive activity. Using data from the French power system over eight years, we compare the possible market design options to allow demand response to develop. Our simulations demonstrate that with the current market rules, demand response is not a profitable activity in the French electricity industry. Introducing a capacity remuneration could bring additional revenues to demand response aggregators if the power system has no over-capacity

Time-Series Analysis of U.S. Pistachio Export Demand in North America

OpenAIRE

Zheng, Zijuan; Saghaian, Sayed H.

2011-01-01

This study identifys the main factors influencing U.S. pistachio export demand in North America-i.e., to Canada and Mexico. A double-log econometric model is estimated using data for 1989-2009. The main findings indicate that Canadian GDP, U.S. walnut export prices, and food safety concerns explain the majorityof the pistachio import demand variation in Canada, wheras Iranian pistachio export prices, the real exchange rate between the Mexican peso and the U.S. dollar, and U.S. pecan export pr...

Association between Emotional Symptoms and Job Demands in an Asian Electronics Factory.

Science.gov (United States)

Huang, Wei-Lieh; Guo, Yue Leon; Chen, Pau-Chung; Wang, Jui; Chu, Po-Ching

2017-09-19

Various work-related issues including mental health have been described for the electronic industry. Although East Asian countries play important roles in the electronics industry, the association between job demands and emotional symptoms has been rarely examined. The present study recruited 603 workers from either office or clean room environments in an electronics factory in Taiwan. Their personal factors, work-related factors, and emotional symptoms were assessed by a self-administered questionnaire. The symptoms of depression and hostility were reported in 24.88% and 24.38% of the subjects, respectively, while 14.93% reported both. A multivariate analysis showed that, overall, women workers were more likely to have emotional symptoms than male workers (odds ration (OR) = 1.50, 95% CI = 1.02-2.18). Among clean room workers, working under high pressure (OR = 1.84, 95% CI = 1.05-3.21), conflicting demands (OR = 2.15, 95% CI = 1.30-3.57), and social isolation at work (OR = 2.99, 95% CI = 1.23-7.30) were associated with emotional symptoms. The findings suggest that in the Asian electronics industry, for women, working under high pressure, conflicting demands, and social isolation at work are risk factors for emotional symptoms, especially for clean room workers. Further large-scale, longitudinal studies are necessary to confirm and prevent the mental health problems in this fast-evolving, highly competitive industry.

Interaction between demand-control and social support in the occurrence of common mental disorders

Directory of Open Access Journals (Sweden)

Amália Ivine Santana Mattos

Full Text Available ABSTRACT OBJECTIVE To analyze the interaction between the psychosocial aspects of work and the occurrence of common mental disorders among health workers. METHODS This is a cross-sectional study conducted with a representative sample of workers of the primary health care of five municipalities of the State of Bahia, Brazil, in 2012. The variable of outcome were the common mental disorders evaluated by the SRQ-20, and the variables of exposure were high demand (high psychological demand and low control over the work and low social support in the workplace. Interaction was checked by the deviation of the additivity of the effects for the factors studied from the calculation of excess risk from interaction, proportion of cases attributed to interaction, and the synergy index. RESULTS The global prevalence of common mental disorders was 21%. The group of combined exposure has shown higher magnitude (high demand and low social support, reaching 28% when compared to the 17% in the situation of no exposure (low demand and high social support. CONCLUSIONS The results strengthen the hypothesis of interaction between the factors investigated, directing to the synergy of the effects.

Motor demand-dependent activation of ipsilateral motor cortex.

Science.gov (United States)

Buetefisch, Cathrin M; Revill, Kate Pirog; Shuster, Linda; Hines, Benjamin; Parsons, Michael

2014-08-15

The role of ipsilateral primary motor cortex (M1) in hand motor control during complex task performance remains controversial. Bilateral M1 activation is inconsistently observed in functional (f)MRI studies of unilateral hand performance. Two factors limit the interpretation of these data. As the motor tasks differ qualitatively in these studies, it is conceivable that M1 contributions differ with the demand on skillfulness. Second, most studies lack the verification of a strictly unilateral execution of the motor task during the acquisition of imaging data. Here, we use fMRI to determine whether ipsilateral M1 activity depends on the demand for precision in a pointing task where precision varied quantitatively while movement trajectories remained equal. Thirteen healthy participants used an MRI-compatible joystick to point to targets of four different sizes in a block design. A clustered acquisition technique allowed simultaneous fMRI/EMG data collection and confirmed that movements were strictly unilateral. Accuracy of performance increased with target size. Overall, the pointing task revealed activation in contralateral and ipsilateral M1, extending into contralateral somatosensory and parietal areas. Target size-dependent activation differences were found in ipsilateral M1 extending into the temporal/parietal junction, where activation increased with increasing demand on accuracy. The results suggest that ipsilateral M1 is active during the execution of a unilateral motor task and that its activity is modulated by the demand on precision. Copyright © 2014 the American Physiological Society.

Electricity demand for South Korean residential sector

Energy Technology Data Exchange (ETDEWEB)

Sa' ad, Suleiman [Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey, Guildford, Surrey GU2 7XH (United Kingdom)

2009-12-15

This study estimates the electricity demand function for the residential sector of South Korea with the aim of examining the effects of improved energy efficiency, structural factors and household lifestyles on electricity consumption. In the study, time series data for the period from 1973 to 2007 is used in a structural time series model to estimate the long-term price and income elasticities and annual growth of underlying energy demand trend (UEDT) at the end of the estimation period. The result shows a long-term income elasticity of 1.33 and a long-term price elasticity of -0.27% with -0.93% as the percentage growth of UEDT at the end of the estimation period. This result suggests that, in order to encourage energy efficiency in the residential sector, the government should complement the market based pricing policies with non-market policies such as minimum energy efficiency standards and public enlightenment. (author)

Job demands-resources model

OpenAIRE

Bakker, Arnold; Demerouti, Eva

2013-01-01

markdownabstract* The question of what causes job stress and what motivates people has received a lot of research attention during the past five decades. In this paper, we discuss Job Demands-Resources (JD-R) theory, which represents an extension of the Job Demands-Resources model (Bakker & Demerouti, 2007; Demerouti, Bakker, Nachreiner, & Schaufeli, 2001) and is inspired by job design and job stress theories. JD-R theory explains how job demands and resources have unique and multiplicative e...

Consumer demand for cars in the USA

Energy Technology Data Exchange (ETDEWEB)

Smith, R P

1975-01-01

Since the Second World War the American public has bought almost two hundred million cars, and the abrupt year to year variations in the number of new cars sold have had a substantial impact on the level of activity of the U.S. economy. This book examines the factors that determine the demand for cars and suggests an explanation for the large fluctuations in their sales. A wide variety of information, including data from market research, surveys of industry and consumer opinion, cross section studies and aggregate time series, is used to construct and estimate econometric models that will explain consumer decisions about the ownership, purchase and replacement of cars. This quantitative analysis is supplemented by information of a more qualitative nature on the significance for the car market of such factors as model changes, the oil crisis, and the prevailing social climate. One of the main conclusions of the book is that traditional neo-classical models of consumer behavior do not provide a satisfactory explanation of observed market behavior, and that account has to be taken of the role of variations in consumer confidence and expectations in determining demand. The study will be of interest to students and teachers of economics and business studies as well as to those concerned with the motor industry. (50 references) (from publisher's description)

Optometric supply and demand in Australia: 2011-2036.

Science.gov (United States)

Healy, Ernest; Kiely, Patricia M; Arunachalam, Dharma

2015-05-01

The effective size of the optometric workforce is dependent on graduate numbers, retention rates and immigration and is influenced by age, gender and working hours of optometrists. This paper presents modelling results of the relationship between the projected Australian optometric workforce and projected demand for optometric services for the period 2011 to 2036. Nine hypothetical optometric supply-side and demand-side scenarios are presented. Data from the Australian Bureau of Statistics on age and gender of people listing optometry as their major qualification in the 2011 census were projected over a 25-year period, accounting for factors such as concordance with Health Workforce Australia figures for registered optometrists in Australia in 2011, ageing, attrition, hours worked, new graduates and immigration. Data were compared to the numbers of optometrists calculated as necessary to meet the demand for services of the Australian population to 2036 using nine different scenarios. It was estimated that there would be a surplus of over 1,200 equivalent full-time optometrists (EFTO) in 2036 for the highest service demand scenario of 13.8 million Medicare services, where 21 hours of a 38-hour week per EFTO were allowed for the provision of optometric services under Medicare. Substantial surpluses were predicted in all states and territories except Queensland, Tasmania and the Northern Territory where predicted supply was within six EFTO of predicted demand. Projections using current weightings for mortality, attrition, proportion of optometrists in active practice, working hours, immigration, new graduates and 21 hours per EFTO per week available for Medicare services indicate that in 2036, there will be excess optometrists in relation to projected demand for services, if service utilisation is maintained at current levels or increased by 10 or 20 per cent. Substantially greater excesses result if each EFTO has 28 or 35 hours per week available for Medicare

Energy supply and demand in California

Science.gov (United States)

Griffith, E. D.

1978-01-01

The author expresses his views on future energy demand on the west coast of the United States and how that energy demand translates into demand for major fuels. He identifies the major uncertainties in determining what future demands may be. The major supply options that are available to meet projected demands and the policy implications that flow from these options are discussed.

Retention of women accountants: The interaction of job demands and job resources

Directory of Open Access Journals (Sweden)

Stella Ribeiro

2016-05-01

Full Text Available Orientation: Most CEOs in South Africa are chartered accountants (CAs. Retaining women CAs might therefore lead to an increase in women in leadership. The Job Demands-Resources model presents a framework to investigate organisational job-related factors that promote or deter voluntary turnover of women CAs. Research purpose: The primary objective was to investigate which organisational factors promote or reduce the risk of turnover intentions for South African women CAs. The secondary objective was to investigate the moderating potential of job resources on the relationship between job demands and turnover intentions. Motivation for the study: There is a fair amount of research on the problems associated with the retention of women CAs in public practice but very little is known about how those problems interact with each other, and whether there are factors that could buffer them. Research design, approach, and method: The study consisted of a sample (n = 851 of women CAs in public practice firms nationally in South Africa. We used structural equation modelling together with moderated regression analysis. Main findings: Job demands promote turnover intentions, whereas job resources have a negative effect on turnover intentions. Counter-intuitively a negative direct effect was found between job insecurity and turnover intentions. Statistical support was found for the moderating role of all job resources, except financial advancement, on the relationship between work–family conflict and turnover intentions; and growth opportunities, on the relationship between job insecurity and turnover intentions. Practical/managerial implications: No job resource measured could buffer the impact of job overload on turnover intentions. Contribution: This is the first study to investigate factors that may retain women CAs in public practice audit, tax, and advisory firms (Big Four Accountancy Firms using the JD-R model. Few studies have investigated the

[Healthcare management of an epilepsy clinic: factors involved in the demand for health care and clinical situation of patients].

Science.gov (United States)

García-Martín, Guillermina; Martín-Reyes, Guillermina; Dawid-Milner, Marc Stefan; Chamorro-Muñoz, M Isabel; Pérez-Errazquin, Francisco; Romero-Acebal, Manuel

2013-05-16

Epilepsy is a chronic illness that requires a long-term periodic follow-up of the patient and this means that as time goes by the number of patients attended increases, with the ensuing added cost for the healthcare system. To determine the factors involved in the time until an epileptic patient's next visit. Our sample consisted of a selection of patients who visited the epilepsy clinic at our hospital consecutively during one year. Their clinical situation and relationship with the medical advice they were given, together with the factors involved in the time elapsed until the next visit, were analysed by means of predictive econometric models. There is a clear association between the patient's clinical situation and the modification of the treatment proposed by the neurologist in the previous visit. The factors involved in the time until the next visit were the frequency of seizures, adverse side effects from medicines -above all those that affect cognition- and the medical advice given to the patient. Polytherapy, psychoaffective disorders or the patient's social situation were not found to be significant. Follow-up visits in a specific epilepsy clinic improves the patient's situation. This is the first analysis of the demand for healthcare in patients with epilepsy conducted by means of econometric methods and from a mixed physician-patient perspective. Since the factors that determine the time until the next visit can be modified, the number of visits per year could be reduced, thus improving patients' clinical situation. We suggest a greater amount of time should be spent per visit so as to be able to have a bearing on it and thereby cut costs in the long term.

More countries in recession: Oil supply looking for demand

International Nuclear Information System (INIS)

Anon.

1993-01-01

Crude oil prices fell dramatically during the fourth quarter of 1992. Refiners are reevaluating their positions to adjust to low demand growth worldwide. The only bright spot appears to be the United States' emergence from its economic recession. However, Japan and Germany are experiencing their own economic recessions, and crude oil supplies show no sign of tightening. Crude oil futures prices have fallen by more than 15% as of January 8, 1993 compared to October 1, 1992. Although the American Petroleum Institute (API) found increases in oil demand during October and November 1992, the increases are attributed to colder weather and the weak 1991 demand that was used for comparison. This issue identifies current factors at work affecting U.S. refining margins and product values, and offers a first quarter 1993 outlook. All data featured in graphs and text come from the Energy detente Refinery Netback Data Series published in each issue, in which gasoline and diesel No. 2 are Lundberg Survey unbranded racks instead of spot quotations. Margins are apparent deltas only and do not reflect actual profits for any individual operation

DemandStat

International Nuclear Information System (INIS)

2003-01-01

DemandStat is an accurate and up-to-date international statistics database dedicated to energy demand, with an unrivaled level of details for powerful market analysis. It provides detailed consumption statistics (30 sectors) on all energies, detailed 2003 data and historical annual data since 1970, frequent data revision and update (2 updates options), 150 data sources gathered and expertized, all data on a single database Consistent and homogeneous statistics, in line with all major data providers (IEA, Eurostat, ADB, OLADE, etc), no ruptures in time-series with easy request building and data analysis and reactive support from data experts. (A.L.B.)

Demand for power in Calcutta Electricity Supply Corporation area

Energy Technology Data Exchange (ETDEWEB)

Banerjee, N

1980-07-01

Since the early 1970's there has been a continuous crisis of power supply to the Calcutta industrial region. Historical records show that only the peak demand has grown and has a potential for growth, which, with an unchanging base demand, results in a low load factor and consequently inefficient power system operation. Attempts to shift industrial loads by operating industrial plants during non-peak hours are described. Adverse economic conditions eliminated the need for extra working shifts. It is concluded that the power system supplying the Calcutta region has an insufficient peak load generating capacity and an uneconomic load curve and that stricter hourly schedules for power use by industries should be adhered to in order to minimize these problems. (LCL)

North American demand and supply dynamics - implications for pricing

International Nuclear Information System (INIS)

George, R.

1998-01-01

Key issues regarding the natural gas industry and the long-term outlook for North American supply and demand for natural gas were discussed. The North American market was characterized as not a mature market, meaning that demand will continue to increase in the coming years. It was confidently predicted that supplies will be available for development at reasonable costs. However, real prices will slowly increase over time. Short-term fundamentals, expectations and pricing outlook were also discussed. The influence of upstream activity levels, the health of the economy, weather and storage were all identified as factors that will impact on short-term price expectations. According to this author a minor increase in price may be expected during the winter of 1998/1999. tabs., figs

Do demand or supply factors drive bank credit,in good and crisis times?

OpenAIRE

Jiménez, Gabriel; Ongena, Steven; Peydró, José-Luis; Saurina, Jesús

2017-01-01

We analyze the impact of balance-sheet strength on credit availability. Bank balance sheets are weak in crisis times, but so are those of firms, and credit demand is then also weak. For identification, we exploit an administrative dataset of loan applications matched with bank and firm variables covering Spain from 2002 to 2010. Bank balance-sheet strength determines the granting of loan applications only in crisis times, while firm balance-sheet strength notably leverage d...

The impact of physically demanding work of basketball and volleyball players on the risk for patellar tendinopathy and on work limitations.

Science.gov (United States)

van der Worp, H; Zwerver, J; Kuijer, P P F M; Frings-Dresen, M H W; van den Akker-Scheek, I

2011-01-01

Patellar tendinopathy is a common injury in jumping athletes. Little is known about work-related etiological factors for patellar tendinopathy and related work limitations. The aim of this study was to identify work-related etiological factors for patellar tendinopathy and to determine the relation between patellar tendinopathy and work limitations. Basketball and volleyball players between 18 and 35 years were invited to complete an online-questionnaire concerning knee complaints, etiological risk factors for patellar tendinopathy and related work limitations. A total of 1505 subjects were included in the analysis. Risk factors for patellar tendinopathy were gender and heavy physically demanding work. The odds for having patellar tendinopathy were significantly higher for heavy physically demanding occupations compared to mentally demanding occupations. 30% of subjects with patellar tendinopathy with a physically demanding job reported to be impaired in their work and 17% reported to be less productive. Basketball and volleyball players with heavy physically demanding work seem to have an increased risk for developing patellar tendinopathy. This finding has important clinical relevance in the treatment of this injury. Working activities should be adjusted in order to reduce the total load on the patellar tendon and help prevention and recovery.

How to optimize tourism destination supply: A case in Shanghai from perspective of supplier and demand side perception

Science.gov (United States)

Xue, Huaju; Fang, Chengjiang

2018-02-01

It is vital to assess the regional tourist supply capability by suppliers and demand groups. The supply side’s evaluation of the regional supply capacity determines the direction of the supply investment in future, the demand side’s evaluation indicates their satisfaction degree of the destination supply and also effects their revisit the tourism destination. Therefore, the assessment of the supply and demand sides is an important reference for the reform of destination supply side, which helps us find the shortage of the destination supply factors and optimize tourism destination supply promptly. This paper through investigating tourism supply and demand groups in Shanghai, used the survey data and constructed tourism supply optimization model, analyzed the current situation of tourism supply factors in Shanghai. Results showed that the environment of Shanghai should be improved first, including improving urban air and water quality, up-grading public sanitation and increasing urban green coverage. Other supply factors improved priority were information and marketing, we should improve the information consultation of scenic spots, increase the intensity of tourism promotion and provide more free travel publicity brochures.

North American pipelines supply/demand update: challenges and opportunities

International Nuclear Information System (INIS)

Gopal, J.

2002-01-01

The author began the presentation by providing a little definition of forecasting supply, demand and price as applied to the natural gas industry, indicating that it is both science and art. An integrated grid in North America, the natural gas sector modeling relates to supply basins, demand centers and pipes includes the United States, Canada and Mexico. Some of the considerations are: huge demand from proposed power generation, conservation, and drilling impacts, as well as pipeline capacity. A chart displaying the North American model was explained. The author discussed the technically recoverable natural gas resources as well as the estimates in both Canada and the United States. The next section deals with exploration and development of frontier resources and power plant licensing, with emphasis on power plants in California. The generation assumptions for the Western Systems Coordinating Council from the Energy Commission are reviewed, placing the numbers in their proper perspective. California natural gas supply by source is examined, followed by regional natural gas spot price. The wellhead natural gas prices for North America and for the Lower 48 states are presented. The author indicates that additional pipeline capacity is required to meet the growing demand. Several factors have to be considered: the number of power plants, when and where; pipeline capacity (how much); regulations; slack capacity; cost of slack capacity, and supply. The concluding remarks touched upon the availability of gas resources, the environmental issues that affect demand, hub services that enhance service flexibility and reliability, and pipeline capacity and storage. 2 tabs., 15 figs

Oil demand continues to grow in the U.S. and worldwide

International Nuclear Information System (INIS)

Tippee, B.; Beck, R.J.

1995-01-01

Rising oil consumption is challenging the Organization of Petroleum Exporting Countries production quota--but not the group's ability to meet demand. In the second half of 1995, the oil market will continue to need more oil from OPEC members than the group claims to be willing to produce with its quota at 24.52 million b/d. If the quota really limited supply, ingredients would be in place for a significant price hike. Growth in a non-OPEC production intensities temptations on OPEC members to cheat on quotas and has become a key factor in the market. OPEC producers have seen that if they don't meet incremental demand at the current price, other producers will. OPEC eventually will have to raise its quota or acknowledge that the artificial production limit lacks meaning. At present, the only real limit to supply is production capacity, which remains in excess relative to demand and which has demonstrated its ability to grow both within and outside of OPEC when prices rise. The paper discusses worldwide trends, pressures on OPEC, world crude prices, US prices, natural gas prices, US energy demand, natural gas use, gas supply, US demand for petroleum products, imports, and inventories

Demands Set Upon Modern Cartographic Visualization

Directory of Open Access Journals (Sweden)

Stanislav Frangeš

2007-05-01

Full Text Available Scientific cartography has the task to develop and research new methods of cartographic visualization. General demands are set upon modern cartographic visualization, which encompasses digital cartography and computer graphics: legibility, clearness, accuracy, plainness and aesthetics. In this paper, it is explained in detail what demands should be met in order to satisfy the general demands set. In order to satisfy the demand of legibility, one should respect conditions of minimal sizes, appropriate graphical density and better differentiation of known features. Demand of clearness needs to be met by fulfilling conditions of simplicity, contrasting quality and layer arrangement of cartographic representation. Accuracy, as the demand on cartographic visualization, can be divided into positioning accuracy and accuracy signs. For fulfilling the demand of plainness, the conditions of symbolism, traditionalism and hierarchic organization should be met. Demand of aesthetics will be met if the conditions of beauty and harmony are fulfilled.

Demand side management for remote area power supply systems incorporating solar irradiance model

International Nuclear Information System (INIS)

Al-Alawi, A.; Islam, S.M.

2004-01-01

This paper presents a technique for generating the daily electricity load profile for remote areas in the Middle East from first principles, using diversified demand. The generated load profile includes the energy required to run a small desalination unit to provide the necessary freshwater. Demand side management (DSM) is used in this study to smooth out the daily peaks and fill valleys in the load curve to make the most efficient use of energy resources. Finally, the load profile is compared with real data for six houses collected from Safri area in the Sultanate of Oman. These data may be used as the basis to obtain load profiles of other remote areas of the Middle East since the weather and social factors are similar. The modified hourly variation factor based on weather and economic and social factors of the Middle East is obtained. (author)

North American oil demand outlook

International Nuclear Information System (INIS)

Stewart, M.B.

1995-01-01

An understanding of the relationship of economic growth and potential petroleum product demand is needed to forecast the potential for North American oil demand growth as well as knowledge of world supply and price. The bullish expectations for economic growth in the US and Canada auger well for North American refiners and marketeers. The growth in world economic output forecast, however, means a larger oil demand and an increase in OPEC's pricing power. Such price increases could depress North American oil demand growth. (author)

Dynamic inventory rationing strategies for inventory systems with two demand classes, Poisson demand and backordering

NARCIS (Netherlands)

Teunter, Ruud H.; Haneveld, Willem K. Klein

2008-01-01

We study inventory systems with two demand classes (critical and non-critical), Poisson demand and backordering. We analyze dynamic rationing strategies where the number of items reserved for critical demand depends on the remaining time until the next order arrives. Different from results in the

Demand-side financing for maternal and newborn health: what do we know about factors that affect implementation of cash transfers and voucher programmes?

Science.gov (United States)

Hunter, Benjamin M; Murray, Susan F

2017-08-31

Demand-side financing (DSF) interventions, including cash transfers and vouchers, have been introduced to promote maternal and newborn health in a range of low- and middle-income countries. These interventions vary in design but have typically been used to increase health service utilisation by offsetting some financial costs for users, or increasing household income and incentivising 'healthy behaviours'. This article documents experiences and implementation factors associated with use of DSF in maternal and newborn health. A secondary analysis (using an adapted Supporting the Use of Research Evidence framework - SURE) was performed on studies that had previously been identified in a systematic review of evidence on DSF interventions in maternal and newborn health. The article draws on findings from 49 quantitative and 49 qualitative studies. The studies give insights on difficulties with exclusion of migrants, young and multiparous women, with demands for informal fees at facilities, and with challenges maintaining quality of care under increasing demand. Schemes experienced difficulties if communities faced long distances to reach participating facilities and poor access to transport, and where there was inadequate health infrastructure and human resources, shortages of medicines and problems with corruption. Studies that documented improved care-seeking indicated the importance of adequate programme scope (in terms of programme eligibility, size and timing of payments and voucher entitlements) to address the issue of concern, concurrent investments in supply-side capacity to sustain and/or improve quality of care, and awareness generation using community-based workers, leaders and women's groups. Evaluations spanning more than 15 years of implementation of DSF programmes reveal a complex picture of experiences that reflect the importance of financial and other social, geographical and health systems factors as barriers to accessing care. Careful design of DSF

Prevalence and risk factors for microalbuminuria in a cross-sectional study of type-2 diabetic patients in Indonesia : a subset of DEMAND study

Directory of Open Access Journals (Sweden)

Sidartawan Soegondo

2009-06-01

Full Text Available Aims Microalbuminuria (MA is a strong predictor of diabetic nephropathy and cardiovascular morbidity and mortality in patients with type-2 DM. The present study aimed to gather information on the prevalence and risk factors for MA in Indonesian patients with type-2 DM.Methods The DEMAND study was an international open cross-sectional 1-day survey on microalbuminuria prevalence and its risk factors in type-2 diabetic patients. This study reports the results of the Indonesian survey which was performed in primary care practice in Indonesia from June to December 2003. Normotensive or hypertensive adult patients of both genders with type-2 DM without known proteinuria and/or kidney disease were recruited into the study. Patients with known pregnancy, having menstruation or acute fever were excluded. A single urinary albumin/creatinine test was carried out in all patients.Results A total of 770 patients were eligible for analysis. Approximately 80% of the patients had micro-/ macroalbuminuria, while renal insufficiency was detected in about 36% of the 433 patients with available data. Target HbA1c (< 7% was reached by only 40% of the 118 patients who had HbA1c values. Most antidiabetic treatment prescribed was oral (82%, while insulin was used by only 14% of patients. Goal BP (< 130/80 mm Hg was achieved in only 9% of patients. The frequency of patients receiving antihypertensives was 52%, statins 18%, and aspirin 26%. The most frequently used antihypertensives were RAS blockers (45%, while diuretics were used in 7 % of the patients. The family history of DM was found in 43% of patients, the history of retinopathy in 16%, diabetic foot 9%, and history of smoking in 20% of patients.Conclusion These data reveal that Indonesia has one of the highest frequencies of silent diabetic kidney disease seen in any national group in the global DEMAND Study. Early detection, monitoring of vascular complications, and more aggressive multifactorial treatment aiming

A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand

Science.gov (United States)

Buys, Laurie; Vine, Desley; Ledwich, Gerard; Bell, John; Mengersen, Kerrie; Morris, Peter; Lewis, Jim

2015-01-01

Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times. PMID:25807384

Pay for load demand - electricity pricing with load demand component

International Nuclear Information System (INIS)

Pyrko, Jurek; Sernhed, Kerstin; Abaravicius, Juozas

2003-01-01

This publication is part of a project called Direct and Indirect Load Control in Buildings. Peak load problems have attracted considerable attention in Sweden during last three winters, caused by a significant decrease in available reserve power, which is a consequence of political decisions and liberalisation of the electricity market. A possible way to lower peak loads, avoiding electricity shortages and reducing electricity costs both for users and utilities, is to make customers experience the price difference during peak load periods and, in this way, become more aware of their energy consumption pattern and load demand. As of January 1st 2001, one of the Swedish energy utilities - Sollentuna Energi - operating in the Stockholm area, introduced a new electricity tariff with differentiated grid fees based on a mean value of the peak load every month. This tariff was introduced for all residential customers in the service area. The objective of this study is to investigate the extent to which a Load Demand Component, included in electricity pricing, can influence energy use and load demand in residential buildings. What are the benefits and disadvantages for customers and utilities? This paper investigates the impact of the new tariff on the utility and different types of typical residential customers, making comparisons with previous tariff. Keywords Load demand, electricity pricing, tariff, residential customers, energy behaviour

The balance of supply and demand 1978-1990

International Nuclear Information System (INIS)

1979-01-01

This paper sets out the likely balance of uranium supply and demand to 1990 for the world outside the communist area as foreseen at the beginning of 1979. It examines a number of factors, including those arising within the fuel cycle itself which might shift the balance significantly one way or the other. The report does not discuss the effect of possible price trends. Demand is calculated in two ways. The first relates to reactor fuel requirements, estimated from assumed values for installed nuclear capacity. The second is based on forecasts of enrichment capacity, and the corresponding quantities of uranium required to keep the enrichment plants working at full capacity. Regarding supply, the study examines a considerable number of factors which provide possible sources of production flexibility or which might act as constraints. Supply estimates are presented in two ways - a lower figure which represents a realistic estimate of the likely level of production; and an upper figure which indicates the maximum production capacity which could be achieved, given economic conditions capable of justifying the energetic pursuit of all projected expansion programmes and known potential new developments. The particular importance of developments in the U.S.A., as the world's largest uranium producer, is emphasised. (author)

A cross-sectional study of the relationship between job demand-control, effort-reward imbalance and cardiovascular heart disease risk factors

Directory of Open Access Journals (Sweden)

Söderberg Mia

2012-12-01

Full Text Available Abstract Background This cross-sectional study explored relationships between psychosocial work environment, captured by job demand-control (JDC and effort-reward imbalance (ERI, and seven cardiovascular heart disease (CHD risk factors in a general population. Method The sampled consists of randomly-selected men and women from Gothenburg, Sweden and the city’s surrounding metropolitan areas. Associations between psychosocial variables and biomarkers were analysed with multiple linear regression adjusted for age, smoking, education and occupational status. Results The study included 638 men and 668 women aged 24–71. Analysis between JDC and CHD risk factors illustrated that, for men, JDC was associated with impaired scores in several biomarkers, especially among those in high strain jobs. For women, there were no relationships between JDC and biomarkers. In the analysis of links between ERI and CHD risk factors, most associations tested null. The only findings were raised triglycerides and BMI among men in the fourth quartile of the ERI-ratio distribution, and lowered LDL-cholesterol for women. An complementary ERI analysis, combining high/low effort and reward into categories, illustrated lowered triglycerides and elevated HDL-cholesterol values among women reporting high efforts and high rewards, compared to women experiencing low effort and high reward. Conclusions There were some associations between psychosocial stressors and CHD risk factors. The cross-sectional design did not allow conclusions about causality but some results indicated gender differences regarding sensitivity to work stressors and also how the models might capture different psychosocial dimensions.

Energy supply and demand in Canada and export demand for Canadian energy, 1966--1990

Energy Technology Data Exchange (ETDEWEB)

1969-01-01

This report presents the results of a National Energy Board staff study of energy supply and demand in Canada to 1990. The study covers all forms of energy in Canada, and probable sources of supply for serving both indigenous and export demand for Canadian energy. Energy demand by market sector (residential and commercial, industrial, and transportation) is discussed in Chapters III, IV and V, respectively. Chapters VI, VII, VIII, and IX deal with supply prospects for Canadian petroleum, natural gas, coal, and electricity serving indigenous and export markets. A summary of the report is contained in Chapter II. Appendix A reviews general assumptions including those relating to population and household growth. Appendix B summarizes the methodology used for estimating residential energy demand, automobile transportation energy demand, and electricity supply. Appendix C includes a number of tables which provide detailed information. A list of definitions and abbreviations follows the Table of Contents.

Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market

OpenAIRE

Heshmati, Almas

2012-01-01

The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated interest among researchers, consumers and producer organizations, managers, regulators and policymakers, This research reviews the growing literature on models used to study demand, consumer baseline (CBL) and demand response in the electricity market. After characterizing the general demand models, it reviews consumer baseline based on which further study the demand response...

Can price get the monkey off our back? A meta-analysis of illicit drug demand.

Science.gov (United States)

Gallet, Craig A

2014-01-01

Because of the increased availability of price data over the past 15 years, several studies have estimated the demand for illicit drugs, providing 462 estimates of the price elasticity. Results from estimating several meta-regressions reveal that these price elasticity estimates are influenced by a number of study characteristics. For instance, the price elasticity differs across drugs, with its absolute value being smallest for marijuana, compared with cocaine and heroin. Furthermore, price elasticity estimates are sensitive to whether demand is modeled in the short-run or the long-run, measures of quantity and price, whether or not alcohol and other illicit drugs are included in the specification of demand, and the location of demand. However, a number of other factors, including the functional form of demand, several specification issues, the type of data and method used to estimate demand, and the quality of the publication outlet, have less influence on the price elasticity. Copyright © 2013 John Wiley & Sons, Ltd.

The energy markets to 1995 - sector demand forecasts and summary. [United Kingdom

Energy Technology Data Exchange (ETDEWEB)

Buckley, J

1983-01-01

Energy demand forecasts are often based on assumptions which are uncertain and dependent upon both political and economic factors. However, there is a need for long-term energy forecasting for the benefit of industry and commerce. CIRS (Cambridge Information and Research Services Limited) have tried to fulfill this need, based on forecasts of useful heat demand sector by sector which are then converted to heat energy supply and primary requirements. The first such forecast was produced in 1975. This 1983 updated projection examines coal, oil and gas supplies in the UK to the year 1995.

Industrial and commercial considerations affecting future uranium supply and demand

International Nuclear Information System (INIS)

Kostuik, J.

1977-01-01

The paper examines the available evidence relating to the balance of supply and demand for uranium, with particular reference to factors which are likely to affect commercial decisions. The physical constraints limiting the rate of production expansion are examined, both in the short term, based on known ore-bodies, and in the longer term, as a result of exploration. The scale of the uncertainties in estimated demand are stressed, and the consequential need for a determined effort to improve the data-base on which commercial judgements have to be made. The powerful influences which governmental actions can have on commercial decision-making and on the freedom to produce and export uranium, are mentioned. (author)

Industrial and commercial considerations affecting future uranium supply and demand

International Nuclear Information System (INIS)

Kostuik, J.

1977-01-01

The paper examines the available evidence relating to the balance of supply and demand for uranium, with particular reference to factors which are likely to affect commercial decisions. The physical constraints limiting the rate of expansion of production are examined, both in the short term, based on known ore-bodies, and in the longer term, as a result of exploration. The scale of the uncertainties in estimated demand, and the consequential need for a determined effort to improve the data base on which commercial judgements have to be made is stressed. The powerful influences which governmental actions can have on commercial decision-making, and on the freedom to produce and export uranium, are illustrated

How Sensitive is the Demand for Primary Education to Changes in Economic Factors

DEFF Research Database (Denmark)

Nielsen, Helena Skyt

2001-01-01

During the recession in the seventies and the eighties in LDCs in general and in Zambia in specific, private costs of schooling have increased and school quality has deteriorated. Combined with poverty, these changes may have damaged the demand for primary education. This observation motivates a ...... in school are reflected in household income, educational expenses and quality indicators, and the results show that they all affect school enrollment as would be expected, even though the magnitudes of the effects are relatively moderate. Udgivelsesdato: JUL...

Food safety information and food demand

DEFF Research Database (Denmark)

Smed, Sinne; Jensen, Jørgen Dejgård

2005-01-01

Purpose – The purpose of this paper is to analyze how news about food-related health risks affects consumers’ demands for safe food products. Design/methodology/approach – By identifying structural breaks in an econometrically estimated demand model, news with permanent impact on demand...... induces a permanent increase in the demand for pasteurized eggs, while more moderate negative news influences demand temporarily and to a lesser extent. There is, however, considerable variation in the response to food safety news across socio-demographic groups of consumers. Research limitations...... is distinguished from news with temporary impact. The Danish demand for pasteurized versus shell eggs is used as an illustrative case. Findings – Negative safety news about one product variety can provide significant stimulation to the demand for safe varieties. Severe negative news about the safety of shell eggs...

DSM [demand-side management] opportunities in Alberta: An economist's perspective

International Nuclear Information System (INIS)

Woodward, R.S.

1990-01-01

In Alberta, utility companies are placing increasing attention on demand-side management (DSM) as one option for meeting future demand. Some basic economic principles are provided to yield a guideline on how much a utility should be spending on DSM initiatives. For the case of financial incentives to customers, it is shown that subsidies based on sound economic principles will enable the utility to charge lower overall rates to customers receiving the subsidy without raising other customers' rates. Moving outside of a well-understood market-based system and into a fully centralized planning approach to DSM eliminates a critical link between utilities and their customers. In Alberta, DSM measures appropriate in other regions will not be appropriate due to the province's unique supply and demand characteristics. Most of Alberta's electricity supply comes from low-cost coal-fired plants. On the demand-side, there is a significant concentration of large industrial and commercial consumers, notably in the oil and gas industry, and there is essentially no demand for electric heating in homes since natural gas is very abundant. The Alberta integrated power system currently operates at a load factor of ca 77%, reflecting the large industrial demand and the absence of a winter peaking effect associated with electrical heating requirements. A relatively small difference in embedded and incremental electricity supply costs means that utilities have little to spend on DSM programs. The identification of cost-effective DSM opportunities, most of which are likely to be found in the industrial sector, requires a considerable amount of detailed information on consumer behavior and close collaboration between utility and customer

Demand modelling of passenger air travel: An analysis and extension, volume 2

Science.gov (United States)

Jacobson, I. D.

1978-01-01

Previous intercity travel demand models in terms of their ability to predict air travel in a useful way and the need for disaggregation in the approach to demand modelling are evaluated. The viability of incorporating non-conventional factors (i.e. non-econometric, such as time and cost) in travel demand forecasting models are determined. The investigation of existing models is carried out in order to provide insight into their strong points and shortcomings. The model is characterized as a market segmentation model. This is a consequence of the strengths of disaggregation and its natural evolution to a usable aggregate formulation. The need for this approach both pedagogically and mathematically is discussed. In addition this volume contains two appendices which should prove useful to the non-specialist in the area.

Applicative Research on Psychological Demand of Audience and the TAXI for People

Directory of Open Access Journals (Sweden)

Zhang Caixia

2015-01-01

Full Text Available Whether TAXI for People from Beijing traffic channel, the only special program customized for taxi driver in Beijing, knows about the psychological feature of the certain taxi group is an important factor that affects the development of program. Based on demand theory of psychology, this article uses the questionnaire method to find out the psychological feature and lifestyle of audience, and discusses the degree to the TAXI for People which meets the psychological demand of taxi driver audience by analysis on the program content. It is said from the research that the TAXI for People basically meets the psychological demand from taxi drivers. However, this program shall focus more on their basic needs and provide the opportunity for the audience to participate in the program and activity.

Projection of regional demand for labour force under the terms of industry modernization

Directory of Open Access Journals (Sweden)

Igor Aleksandrovich Bayev

2011-06-01

Full Text Available The article represents the results of research devoted to the problem of demand for labour force projection. The two main priorities of Russian economic development — modernization and innovation — are declared as the factors influencing labour market in a rather intrinsic and specific way. The research of dependence between GDP growth rate per occupied in the most developed countries is conducted and shows the positive influence the innovation process imposes on the demand for labour force. The particular problem is proved to be semi-structured. The selforganisation approach to this problem is proposed and helps to detect that the main shaping process of labour market dynamics is industry modernization. The trend of modernization influence on demand for labour force is revealed and taken under consideration while developing the mathematical model, enabling to predict the demand for labour force with not more than 2% mean absolute percentage error.

Examining the short-run price elasticity of gasoline demand in the United States

Science.gov (United States)

Brannan, Michael James

Estimating the consumer demand response to changes in the price of gasoline has important implications regarding fuel tax policies and environmental concerns. There are reasons to believe that the short-run price elasticity of gasoline demand fluctuates due to changing structural and behavioral factors. In this paper I estimate the short-run price elasticity of gasoline demand in two time periods, from 2001 to 2006 and from 2007 to 2010. This study utilizes data at both the national and state levels to produce estimates. The short-run price elasticities range from -0.034 to -0.047 during 2001 to 2006, compared to -0.058 to -0.077 in the 2007 to 2010 period. This paper also examines whether there are regional differences in the short-run price elasticity of gasoline demand in the United States. However, there appears to only be modest variation in price elasticity values across regions.

“Souls of the ancestor that knock us out” and other tales. A qualitative study to identify demand-side factors influencing malaria case management in Cambodia

Directory of Open Access Journals (Sweden)

O’Connell Kathryn A

2012-10-01

Full Text Available Abstract Background Appropriate case management of suspected malaria in Cambodia is critical given anti-malarial drug resistance in the region. Improving diagnosis and the use of recommended malarial treatments is a challenge in Cambodia where self-treatment and usage of drug cocktails is widespread, a notable difference from malaria treatment seeking in other countries. This qualitative study adds to the limited evidence base on Cambodian practices, aiming to understand the demand-side factors influencing treatment-seeking behaviour, including the types of home treatments, perceptions of cocktail medicines and reasons for diagnostic testing. The findings may help guide intervention design. Methods The study used in-depth interviews (IDIs (N = 16 and focus group discussions (FGDs (N = 12 with Cambodian adults from malaria-endemic areas who had experienced malaria fever in the previous two weeks. Data were analysed using NVivo software. Results Findings suggest that Cambodians initially treat suspected malaria at home with home remedies and traditional medicines. When seeking treatment outside the home, respondents frequently reported receiving a cocktail of medicines from trusted providers. Cocktails are perceived as less expensive and more effective than full-course, pre-packaged medicines. Barriers to diagnostic testing include a belief in the ability to self-diagnose based on symptoms, cost and reliance on providers to recommend a test. Factors that facilitate testing include recommendation by trusted providers and a belief that anti-malarial treatment for illnesses other than malaria can be harmful. Conclusions Treatment-seeking behaviour for malaria in Cambodia is complex, driven by cultural norms, practicalities and episode-related factors. Effective malaria treatment programmes will benefit from interventions and communication materials that leverage these demand-side factors, promoting prompt visits to facilities for suspected

A demanding market

International Nuclear Information System (INIS)

Thomas, M.

1997-01-01

The article relates to the oil and natural gas market, and it gives a survey of proved reserves at the end of 1996 worldwide. The long term trend of increasing world energy demand has seen a major rise during 1996 when global consumption grew by 3%. But worldwide demand, excluding the Former Soviet Union, shows this figure increasing further to 3.7% for the whole of last year according to statistics. 3 figs

Sizewell: UK power demand

International Nuclear Information System (INIS)

Anon.

1986-01-01

The Sizewell Inquiry was about whether the next power stations to be built in the UK should be nuclear or coal and, if nuclear, PWRs or AGRs. During the period of the Inquiry forecasts of demand for electricity were low. Now, however, it seems that the forecast demand is much increased. This uncertainty in demand and the wide regional variations are examined in some detail. Facts and figures on electricity sales (area by area) are presented. Also the minutes of supply lost per consumer per year. These show that security of supply is also a problem. It is also shown that the way electricity is used has changed. Whilst electricity generation has been changing to large-scale, centralised power stations the demand patterns may make smaller scale, quickly-constructed units more sensible. The questions considered at the Sizewell Inquiry may, indeed, no longer be the right ones. (UK)

46 CFR 169.689 - Demand loads.

Science.gov (United States)

2010-10-01

... 46 Shipping 7 2010-10-01 2010-10-01 false Demand loads. 169.689 Section 169.689 Shipping COAST... Electrical Electrical Installations on Vessels of 100 Gross Tons and Over § 169.689 Demand loads. Demand loads must meet § 111.60-7 of this chapter except that smaller demand loads for motor feeders are...

China's Coal: Demand, Constraints, and Externalities

Energy Technology Data Exchange (ETDEWEB)

Aden, Nathaniel; Fridley, David; Zheng, Nina

2009-07-01

This study analyzes China's coal industry by focusing on four related areas. First, data are reviewed to identify the major drivers of historical and future coal demand. Second, resource constraints and transport bottlenecks are analyzed to evaluate demand and growth scenarios. The third area assesses the physical requirements of substituting coal demand growth with other primary energy forms. Finally, the study examines the carbon- and environmental implications of China's past and future coal consumption. There are three sections that address these areas by identifying particular characteristics of China's coal industry, quantifying factors driving demand, and analyzing supply scenarios: (1) reviews the range of Chinese and international estimates of remaining coal reserves and resources as well as key characteristics of China's coal industry including historical production, resource requirements, and prices; (2) quantifies the largest drivers of coal usage to produce a bottom-up reference projection of 2025 coal demand; and (3) analyzes coal supply constraints, substitution options, and environmental externalities. Finally, the last section presents conclusions on the role of coal in China's ongoing energy and economic development. China has been, is, and will continue to be a coal-powered economy. In 2007 Chinese coal production contained more energy than total Middle Eastern oil production. The rapid growth of coal demand after 2001 created supply strains and bottlenecks that raise questions about sustainability. Urbanization, heavy industrial growth, and increasing per-capita income are the primary interrelated drivers of rising coal usage. In 2007, the power sector, iron and steel, and cement production accounted for 66% of coal consumption. Power generation is becoming more efficient, but even extensive roll-out of the highest efficiency units would save only 14% of projected 2025 coal demand for the power sector. A new wedge of

DEVELOPMENT OF MILK CONSUMPTION AND MARKETING ANALYSIS OF ITS DEMAND

Directory of Open Access Journals (Sweden)

Marta Habánová

2012-12-01

Full Text Available The strategy of most households is to eliminate the negative effects of economic changes related mainly to the economic crisis by mobilizing available resources and reducing costs, but which cloud lead to a decrease in food consumption and changes in consumption patterns. Pensions and prices are factors that shape the demand for food and other estates. Both of these factors guarantee the economic viability of nutrition. Paper analyzes the development of the of milk consumption and level of its substitution by milk products. There was quantified the elasticity of demand and  estimated own price elasticity and income elasticity. For the past 17 years, consumption of milk, except cheese, cottage cheese, sour milk products and butter, decreased. Expressed by linear regression model in recent years (since 1995 in Slovakia occurred overall reduction in the consumption of milk and dairy products by an average of 0.988 kg per capita per year. This development was mainly conditioned by the annual descent of demand for milk, as its consumption with little variation in average decreased annually by up to 1.88 kg per capita. This development is largely due to the increase of milk prices and especially the increasing supply of a wide range of quality and flavored sour milk and cheese products. Acidified milk product consumption in recent observed years increased and is expressed by the average growth factor of 0.6748 kg per capita per year. Prognosis with a five percent risk of error of estimate could increase their consumption up to 13.936 kg per capita in 2014. Consumption of cheese and curd should the increase the current trend by an average of 0.0476 kg per person and would be able to achieve the level of consumption of 11.03 kg per capita in 2014.doi:10.5219/236

Effect of limb demand ischemia on autophagy and morphology in mice.

Science.gov (United States)

Albadawi, Hassan; Oklu, Rahmi; Milner, John D; Uong, Thuy P; Yoo, Hyung-Jin; Austen, William G; Watkins, Michael T

2015-10-01

Obesity is a major risk factor for diabetes and peripheral arterial disease, which frequently leads to lower limb demand ischemia. Skeletal muscle autophagy and mitochondrial biogenesis are important processes for proper oxidative capacity and energy metabolism, which are compromised in diabetes. This study compares autophagy, mitochondrial biogenesis, energy metabolism, and morphology in the hind limbs of obese diabetic mice subjected to demand or sedentary ischemia. Unilateral hind limb demand ischemia was created in a group of diet-induced obese mice after femoral artery ligation and 4 wk of daily exercise. A parallel group of mice underwent femoral artery ligation but remained sedentary for 4 wk. Hind limb muscles were analyzed for markers of autophagy, mitochondrial biogenesis, adenosine triphosphate, and muscle tissue morphology. At the end of the 4-wk exercise period, demand ischemia increased the autophagy mediator Beclin-1, but it did not alter the autophagy indicator, LC3B-II/I ratio, or markers of mitochondrial biogenesis, optic atrophy/dynamin-related protein. In contrast, exercise significantly increased the level of mitochondrial protein-succinate dehydrogenase subunit-A and reduced adipocyte accumulation and the percentage of centrally nucleated myofibers in the demand ischemia limb. In addition, demand ischemia resulted in decreased uncoupling protein-3 levels without altering muscle adenosine triphosphate or pS473-Akt levels. Limb demand ischemia markedly decreased adipocyte accumulation and enhanced muscle regeneration in obese mice, but it did not appear to enhance autophagy, mitochondrial biogenesis, energy metabolism, or insulin sensitivity. Future studies aimed at evaluating novel therapies that enhance autophagy and mitochondrial biogenesis in diabetes with peripheral arterial disease are warranted. Copyright © 2015 Elsevier Inc. All rights reserved.

Modeling of gas demand using degree-day concept: case study for Ankara

International Nuclear Information System (INIS)

Gumrah, F.; Katircioglu, D.; Aykan, Y.; Okumus, S.; Kilincer, N.

2001-01-01

The demand for natural gas is rapidly increasing in Turkey, as it is in the rest of the world. However, natural gas reserves and production are rather limited in Turkey.The bulk of the Turkish gas demand is met by imports. Russia currently accounts for 69% of Turkey's gas supplies. Physical shortages might occur; supplies for industrial production and household consumption could temporarily run short. Also, fluctuations in consumption might occur due to climatic reasons or peak daily industrial energy demand. Underground gas storage is a necessity in order to regulate these seasonal, daily, and hourly fluctuations. In order to effectively design and utilize underground gas storage, it is necessary to identify the market requirements. In this study, Ankara was chosen as a pilot region due to its strategical importance of being the capital city of Turkey, and a wide range of marketing surveys for the last seven years was performed. All of the factors influencing the gas consumption and the relationships between these factors were analyzed. How does gas demand behave in extremely cold weather? How does the industrial part of the city act in the consumption behavior? What are the plans of the Municipality of Ankara, responsible for the execution of the natural gas distribution project in Ankara? A model was developed based on degree-day (DD) concept, including the annual number of customers, average DDs, and the usage per customer. A history matching study was performed to verify the results of the model with the measured consumption data for the last seven years. Comparisons showed that the calculated consumption by DD model and measured daily consumption were in good agreement. Finally, by using the developed approach, the gas demand was forecasted for Ankara up to 2005. The results of this study can be used to design underground gas storage facility near Ankara. (author)

Dynamics of Electricity Demand in Lesotho: A Kalman Filter Approach

Directory of Open Access Journals (Sweden)

Thamae Retselisitsoe Isaiah

2015-04-01

Full Text Available This study provides an empirical analysis of the time-varying price and income elasticities of electricity demand in Lesotho for the period 1995-2012 using the Kalman filter approach. The results reveal that economic growth has been one of the main drivers of electricity consumption in Lesotho while electricity prices are found to play a less significant role since they are monopoly-driven and relatively low when compared to international standards. These findings imply that increases in electricity prices in Lesotho might not have a significant impact on consumption in the short-run. However, if the real electricity prices become too high over time, consumers might change their behavior and sensitivity to price and hence, energy policymakers will need to reconsider their impact in the long-run. Furthermore, several exogenous shocks seem to have affected the sensitivity of electricity demand during the period prior to regulation, which made individuals, businesses and agencies to be more sensitive to electricity costs. On the other hand, the period after regulation has been characterized by more stable and declining sensitivity of electricity demand. Therefore, factors such as regulation and changes in the country’s economic activities appear to have affected both price and income elasticities of electricity demand in Lesotho.

Stochastic model of forecasting spare parts demand

OpenAIRE

Ivan S. Milojević; Rade V. Guberinić

2012-01-01

If demand is known for the whole planning period (complete information), then this type of demand or a supply system is deterministic. In the simplest cases, the demand per time unit is constant. If demand levels change over time following a precisely determined and pre-known principle, this type of demand is also classified as deterministic. This quality of demand is very rare. In most cases demand is the product of a process, for example TMS maintenance, whose progression cannot be predicte...

Demand for long acting and permanent methods of contraceptives and factors for non-use among married women of Goba Town, Bale Zone, South East Ethiopia

Directory of Open Access Journals (Sweden)

Takele Abulie

2012-10-01

Full Text Available Abstract Background Contraceptive use including short acting, long acting and permanent methods positively influence the socio-economic development of a nation by allowing families to space and limit their family size to their economic capacity. Demand for LAPMs of contraception as detrmined by utilization and unmet need for LAPMs of contraception can provide realiable information for providers. Objective To determine the utilization of long acting and permanent contraception and its associated factors among married women of Goba town, South East Ethiopia. Methods A cross sectional community based study was conducted among 734 systematically selected married women of reproductive age in Goba town in September/ 2009. A structured and pretested, interview questionaire was used to collect data on socio-demographic, behavioral factors and data related to demand for LAPMs of contraception. Data were analyzed using EPI INFO and SPSS version 16. Result The demand for Long Acting and Permanent Methods (LAPMs of contraception was 18.1%. Utilization of LAPMs of contraception in the town was 64 (8.7% and the unmet need for LAPMs was 69 (9.4%. Information on LAPMs in the town was 636 (86.6%. Media (radio and television was the major sources of information 641 (87.3%. The use of LAPMs was significatly associated with ever use AOR[17.43, 95% CI:9.19, 33.03], number of times discussions made on methods AOR[4.6, 95% CI: 1.72,12.17] and main decider of using methods AOR[ 2.2, 95% CI:1.03, 4.65]. It was not associated with socio-demographic variables. Conclusion and recommendation The utilization of LAPMs in the town was less although higher than the Ethiopian demographic and health survey 2005 result. Moreover, there was a considerable unmet need. Increase the method mix of LAPMs by incorporating varaies of implnats in order to increase utilization. Proper counseling of client and partners discussion were some of the recommendation forwarded.

Modeling storage and demand management in power distribution grids

International Nuclear Information System (INIS)

Schroeder, Andreas

2011-01-01

Grahical abstract: The model informs an optimal investment sizing decision as regards specific 'smart grid' applications such as storage facilities and meters enabling load control. Results indicate that central storage facilities are a more promising option for generation cost reductions as compared to demand management. Highlights: → Stochastic versus deterministic model increases investment efficiency up to 5%. → Deterministic model under-estimates value of load control and storage. → Battery storage is beneficial at investment cost below 850 EUR/MW h. → Demand management equipment is not beneficial at cost beyond 200 EUR. → The stylized 10 kV grid constitutes no shortage factor. -- Abstract: Storage devices and demand control may constitute beneficial tools to optimize electricity generation with a large share of intermittent resources through inter-temporal substitution of load. This paper quantifies the related cost reductions in a simulation model of a simplified stylized medium-voltage grid (10 kV) under uncertain demand and wind output. Benders Decomposition Method is applied to create a two-stage stochastic optimization program. The model informs an optimal investment sizing decision as regards specific 'smart' applications such as storage facilities and meters enabling load control. Model results indicate that central storage facilities are a more promising option for generation cost reductions as compared to demand management. Grid extensions are not appropriate in any of the scenarios. A sensitivity analysis is applied with respect to the market penetration of uncoordinated Plug-In Electric Vehicles which are found to strongly encourage investment into load control equipment for 'smart' charging and slightly improve the case for central storage devices.

A PSO–GA optimal model to estimate primary energy demand of China

International Nuclear Information System (INIS)

Yu Shiwei; Wei Yiming; Wang Ke

2012-01-01

To improve estimation efficiency for future projections, the present study has proposed a hybrid algorithm, Particle Swarm Optimization and Genetic Algorithm optimal Energy Demand Estimating (PSO–GA EDE) model, for China. The coefficients of the three forms of the model (linear, exponential, and quadratic) are optimized by PSO–GA using factors, such as GDP, population, economic structure, urbanization rate, and energy consumption structure, that affect demand. Based on 20-year historical data between 1990 and 2009, the simulation results of the proposed model have greater accuracy and reliability than other single optimization methods. Moreover, it can be used with optimal coefficients for the energy demand projections of China. The departure coefficient method is applied to get the weights of the three forms of the model to obtain a combinational prediction. The energy demand of China is going to be 4.79, 4.04, and 4.48 billion tce in 2015, and 6.91, 5.03, and 6.11 billion tce (“standard” tons coal equivalent) in 2020 under three different scenarios. Further, the projection results are compared with other estimating methods. - Highlights: ► A hybrid algorithm PSO–GA optimal energy demands estimating model for China. ► Energy demand of China is estimated by 2020 in three different scenarios. ► The projection results are compared with other estimating methods.

Crucial market demands and company competencies

DEFF Research Database (Denmark)

Jensen, Bjarne; Stacey, Julia

1999-01-01

More and more, it is acknowledged that a company's success depends on it being capable of complying with the market's demands and wishes. It is, however, not always obvious, how the individual company will be able to meet the market's demands. A recent MAPP study has investigated this topic...... and identified a number of central market demands, which Danish food companies are faced with. Moreover, the study has identified which competencies are required to meet these demands and have also looked at howsuccessful companies structure some of these competencies. The study takes its point of departure...... in a literature review of MAPP's research. Results show that there are 27 central market demands, retail and consumer demands that Danish companies ought to be able to live up to. The study has also identified which competencies food companies must possess to be able to meet market's demands. Results from three...

Perseverative Cognition as an Explanatory Mechanism in the Relation Between Job Demands and Sleep Quality.

Science.gov (United States)

Van Laethem, Michelle; Beckers, Debby G J; Geurts, Sabine A E; Garefelt, Johanna; Magnusson Hanson, Linda L; Leineweber, Constanze

2018-04-01

The aim of this longitudinal three-wave study was to examine (i) reciprocal associations among job demands, work-related perseverative cognition (PC), and sleep quality; (ii) PC as a mediator in-between job demands and sleep quality; and (iii) continuous high job demands in relation to sleep quality and work-related PC over time. A representative sample of the Swedish working population was approached in 2010, 2012, and 2014, and 2316 respondents were included in this longitudinal full-panel survey study. Structural equation modelling was performed to analyse the temporal relations between job demands, work-related PC, and sleep quality. Additionally, a subsample (N = 1149) consisting of individuals who reported the same level of exposure to job demands during all three waves (i.e. stable high, stable moderate, or stable low job demands) was examined in relation to PC and sleep quality over time. Analyses showed that job demands, PC, and poor sleep quality were positively and reciprocally related. Work-related PC mediated the normal and reversed, direct across-wave relations between job demands and sleep quality. Individuals with continuous high job demands reported significantly lower sleep quality and higher work-related PC, compared to individuals with continuous moderate/low job demands. This study substantiated reciprocal relations between job demands, work-related PC, and sleep quality and supported work-related PC as an underlying mechanism of the reciprocal job demands-sleep relationship. Moreover, this study showed that chronically high job demands are a risk factor for low sleep quality.

Regional Energy Demand Responses To Climate Change. Methodology And Application To The Commonwealth Of Massachusetts

International Nuclear Information System (INIS)

Amato, A.D.; Ruth, M.; Kirshen, P.; Horwitz, J.

2005-01-01

Climate is a major determinant of energy demand. Changes in climate may alter energy demand as well as energy demand patterns. This study investigates the implications of climate change for energy demand under the hypothesis that impacts are scale dependent due to region-specific climatic variables, infrastructure, socioeconomic, and energy use profiles. In this analysis we explore regional energy demand responses to climate change by assessing temperature-sensitive energy demand in the Commonwealth of Massachusetts. The study employs a two-step estimation and modeling procedure. The first step evaluates the historic temperature sensitivity of residential and commercial demand for electricity and heating fuels, using a degree-day methodology. We find that when controlling for socioeconomic factors, degree-day variables have significant explanatory power in describing historic changes in residential and commercial energy demands. In the second step, we assess potential future energy demand responses to scenarios of climate change. Model results are based on alternative climate scenarios that were specifically derived for the region on the basis of local climatological data, coupled with regional information from available global climate models. We find notable changes with respect to overall energy consumption by, and energy mix of the residential and commercial sectors in the region. On the basis of our findings, we identify several methodological issues relevant to the development of climate change impact assessments of energy demand

Regional Energy Demand Responses To Climate Change. Methodology And Application To The Commonwealth Of Massachusetts

Energy Technology Data Exchange (ETDEWEB)

Amato, A.D.; Ruth, M. [Environmental Policy Program, School of Public Policy, University of Maryland, 3139 Van Munching Hall, College Park, MD (United States); Kirshen, P. [Department of Civil and Environmental Engineering, Tufts University, Anderson Hall, Medford, MA (United States); Horwitz, J. [Climatological Database Consultant, Binary Systems Software, Newton, MA (United States)

2005-07-01

Climate is a major determinant of energy demand. Changes in climate may alter energy demand as well as energy demand patterns. This study investigates the implications of climate change for energy demand under the hypothesis that impacts are scale dependent due to region-specific climatic variables, infrastructure, socioeconomic, and energy use profiles. In this analysis we explore regional energy demand responses to climate change by assessing temperature-sensitive energy demand in the Commonwealth of Massachusetts. The study employs a two-step estimation and modeling procedure. The first step evaluates the historic temperature sensitivity of residential and commercial demand for electricity and heating fuels, using a degree-day methodology. We find that when controlling for socioeconomic factors, degree-day variables have significant explanatory power in describing historic changes in residential and commercial energy demands. In the second step, we assess potential future energy demand responses to scenarios of climate change. Model results are based on alternative climate scenarios that were specifically derived for the region on the basis of local climatological data, coupled with regional information from available global climate models. We find notable changes with respect to overall energy consumption by, and energy mix of the residential and commercial sectors in the region. On the basis of our findings, we identify several methodological issues relevant to the development of climate change impact assessments of energy demand.

Employee retention and integrated disability management practices as demand side factors.

Science.gov (United States)

Habeck, Rochelle; Hunt, Allan; Rachel, Colleen Head; Kregel, John; Chan, Fong

2010-12-01

Demand-side employment research on company policies and practices related to retention and absence and disability management (ADM) can contribute to our understanding of employment issues related to people with disabilities from the employers' perspective. To examine company ADM and retention practices and their effectiveness, as well as how these company policies and practices might influence hiring of people with disabilities. Disability Management Employer Coalition employer members (N = 650) were surveyed by internet and the survey data were analyzed using descriptive statistics, correlation, and multiple regression. Ninety-five participants responded to the survey resulting in a response rate of 14%. Retention practice was found to be associated with retention effectiveness (r = .39, P ideas and involvement of employees, and assuring they know how their work and performance support the mission. ADM practice was related to improving health and managing health conditions (r = .26, P companies.

Job demands-resources model

NARCIS (Netherlands)

A.B. Bakker (Arnold); E. Demerouti (Eva)

2013-01-01

markdownabstract* The question of what causes job stress and what motivates people has received a lot of research attention during the past five decades. In this paper, we discuss Job Demands-Resources (JD-R) theory, which represents an extension of the Job Demands-Resources model (Bakker &

Demand forecast model based on CRM

Science.gov (United States)

Cai, Yuancui; Chen, Lichao

2006-11-01

With interiorizing day by day management thought that regarding customer as the centre, forecasting customer demand becomes more and more important. In the demand forecast of customer relationship management, the traditional forecast methods have very great limitation because much uncertainty of the demand, these all require new modeling to meet the demands of development. In this paper, the notion is that forecasting the demand according to characteristics of the potential customer, then modeling by it. The model first depicts customer adopting uniform multiple indexes. Secondly, the model acquires characteristic customers on the basis of data warehouse and the technology of data mining. The last, there get the most similar characteristic customer by their comparing and forecast the demands of new customer by the most similar characteristic customer.

Future butanes supply/demand

International Nuclear Information System (INIS)

Whitley, S.C.

1992-01-01

This paper graphically depicts, through in-depth supply/demand analysis, how environmental regulations can be both bad and good for an industry. In the case of n-butane, the Environmental Protection Agency (EPA) summertime gasoline volatility regulations are a culprit - threatening to ultimately destroy refinery demand for the product as a gasoline blendstock. Waiting in the wings are environmental regulations that should eventually prove to be n-butane's savior. The regulations referred to here are the Clean Air Act (CAA) of 1990's mandate for motor fuel oxygenates. The negative impact of gasoline volatility regulations on U.S. n-butane demand and the positive impact that should come from the use of n-butane as a MTBE precursor are covered. Many variables exist which make studying the effects of these environmental regulations very difficult. Over the past three years RPC Group has conducted numerous studies on n-butane supply/demand, as impacted by both EPA gasoline volatility and fuel oxygenate regulations

Modeling of demand response in electricity markets : effects of price elasticity

International Nuclear Information System (INIS)

Banda, E.C.; Tuan, L.A.

2007-01-01

A design mechanism for the optimal participation of customer load in electricity markets was presented. In particular, this paper presented a modified market model for the optimal procurement of interruptible loads participating in day-ahead electricity markets. The proposed model considers the effect of price elasticity and demand-response functions. The objective was to determine the role that price elasticity plays in electricity markets. The simulation model can help the Independent System Operator (ISO) identify customers offering the lowest price of interruptible loads and load flow patterns that avoid problems associated with transmission congestion and transmission losses. Various issues associated with procurement of demand-response offerings such as advance notification, locational aspect of load, and power factor of the loads, were considered. It was shown that demand response can mitigate price volatility by allowing the ISO to maintain operating reserves during peak load periods. It was noted that the potential benefits of the demand response program would be reduced when price elasticity of demand is taken into account. This would most likely occur in actual developed open electricity markets, such as Nordpool. This study was based on the CIGRE 32-bus system, which represents the Swedish high voltage power system. It was modified for this study to include a broad range of customer characteristics. 18 refs., 2 tabs., 14 figs

An Analysis on change of household electricity demand pattern

Energy Technology Data Exchange (ETDEWEB)

Na, In Gang [Korea Energy Economics Institute, Euiwang (Korea)

1999-01-01

The object of this study is to analyze the behavioral pattern change of household electricity demand. Through the cross section analysis using materials from the energy total research report, the change in income elasticity of household electricity demand was studied. In this study, two methodologies were used. Firstly, it was shown that the effect of an income variable was very significant with a positive value in simultaneous equations model using exponential equations of electrical appliances holding. Cross section income effect showed a various distribution according to the season or income level. Overall, it was calculated at 0.111 when the appliances are fixed and 0.432 when even appliances are changed. Secondly, using a choice convenient correction model, it is resulted that lambda, the choice convenient correction factor, has a positive value and is statistically significant. In 1996, income elasticity of electricity demand for households with air-conditioning was 0.305 and for households without air-conditioning was 0.172. Income elasticity of households with air-conditioning is increasing as time goes by while income elasticity of households without air-conditioning is decreasing. (author). 32 refs., 35 tabs.

Influence of job demands and job control on work-life balance among Taiwanese nurses.

Science.gov (United States)

Ng, Lee-Peng; Chen, I-Chi; Ng, Hui-Fuang; Lin, Bo-Yen; Kuar, Lok-Sin

2017-09-01

This study investigated the extent to which the job demands and job control of nurses were related to their work-life balance. The inability to achieve work-life balance is one of the major reasons for the declining retention rate among nurses. Job demands and job control are two major work domain factors that can have a significant influence on the work-life balance of nurses. The study measured the job demands, job control and work-life balance of 2040 nurses in eight private hospitals in Taiwan in 2013. Job demands and job control significantly predicted all the dimensions of work-life balance. Job demands increased the level of work-life imbalance among nurses. While job control showed positive effects on work/personal life enhancement, it was found to increase both work interference with personal life and personal life interference with work. Reducing the level of job demands (particularly for psychological demands) between family and career development and maintaining a proper level of job control are essential to the work-life balance of nurses. Flexible work practices and team-based management could be considered by nursing management to lessen job demand pressure and to facilitate job engagement and participation among nurses, thus promoting a better balance between work and personal life. © 2017 John Wiley & Sons Ltd.

Demand chain management – The implementation

Directory of Open Access Journals (Sweden)

D Ericsson

2011-12-01

Full Text Available Most current supply chain models were developed during a period of relative stability. Today, the environment is discontinuous, volatile and unpredictable. This requires a major rethinking and revitalisation of existing supply chain models. Supply chains are much more than warehouses, transportation and technology, they are people powered and have to be treated as social and political as well as economic and technical systems.The most difficult yet challenging and rewarding factor is the change of mindset from approaches based on the old industrial paradigm to the new knowledge oriented paradigm. From "one size fits all" to customisation and buyer behaviour oriented segmentation based on structural flexibility. The new approach requires a change of processes and management systems, but most of all, a change of mindset, organisation structure and behaviour.This may create internal resistance that has to be overcome to reach the desired future state. This future state is highly dependent on cooperation and consensus with external companies, and the next step is therefore to extend the alignment approach to the chosen partners in the demand chain. The development towards channel rather than company competition requires an interorganisational approach to channel design. Internal alignment and cooperation is necessary but not sufficient, which means that an agile and dynamically aligned demand chain has to be created.All this is well known and documented in both research and theory. However, the challenge is to implement these theories, models and behaviour in practice. This paper presents one practical approach to implementation of the theories put forth by Ericsson [Ericsson D, 2011, Demand chain management - The evolution, ORiON, 27(1, pp. 45-81.].

Water demand management in Mediterranean regions

OpenAIRE

Giulio Querini; Salvo Creaco

2005-01-01

Water sustainability needs a balance between demand and availability: 1) Water demand management: demand may be managed by suppliers and regulations responsible persons, using measures like invoicing, consumptions measurement and users education in water conservation measures; 2) Augmentation of water supply: availibility may be augmented by infrastructural measures, waste water reuse, non-conventional resources and losses reduction. Water Demand Management is about achieving a reduction in t...

Energy demand projection of China using a path-coefficient analysis and PSO–GA approach

International Nuclear Information System (INIS)

Yu Shiwei; Zhu Kejun; Zhang Xian

2012-01-01

Highlights: ► The effect mechanism of China’s energy demand is investigated detailedly. ► A hybrid algorithm PSO–GA optimal energy demands estimating model for China. ► China’s energy demand will reach 4.48 billion tce in 2015. ► The proposed method forecast shows its superiority compared with others. - Abstract: Energy demand projection is fundamental to rational energy planning formulation. The present study investigates the direct and indirect effects of five factors, namely GDP, population, proportion of industrial, proportion of urban population and coal percentage of total energy consumption on China’s energy demand, implementing a path-coefficient analysis. On this basis, a hybrid algorithm, Particle Swarm Optimization and Genetic Algorithm optimal Energy Demand Estimating (PSO–GA EDE) model, is proposed for China. The coefficients of the three forms of the model (linear, exponential and quadratic model) are optimized by proposed PSO–GA. To obtain a combinational prediction of three forms, a departure coefficient method is applied to get the combinational weights. The results show that the China’s energy demand will be 4.48 billion tce in 2015. Furthermore; the proposed method forecast shows its superiority compared with other single optimization method such as GA, PSO or ACO and multiple linear regressions.

Ethanol demand in Brazil: Regional approach

International Nuclear Information System (INIS)

Freitas, Luciano Charlita de; Kaneko, Shinji

2011-01-01

Successive studies attempting to clarify national aspects of ethanol demand have assisted policy makers and producers in defining strategies, but little information is available on the dynamic of regional ethanol markets. This study aims to analyze the characteristics of ethanol demand at the regional level taking into account the peculiarities of the developed center-south and the developing north-northeast regions. Regional ethanol demand is evaluated based on a set of market variables that include ethanol price, consumer's income, vehicle stock and prices of substitute fuels; i.e., gasoline and natural gas. A panel cointegration analysis with monthly observations from January 2003 to April 2010 is employed to estimate the long-run demand elasticity. The results reveal that the demand for ethanol in Brazil differs between regions. While in the center-south region the price elasticity for both ethanol and alternative fuels is high, consumption in the north-northeast is more sensitive to changes in the stock of the ethanol-powered fleet and income. These, among other evidences, suggest that the pattern of ethanol demand in the center-south region most closely resembles that in developed nations, while the pattern of demand in the north-northeast most closely resembles that in developing nations. - Research highlights: → Article consists of a first insight on regional demand for ethanol in Brazil. → It proposes a model with multiple fuels, i.e., hydrous ethanol, gasohol and natural gas. → Results evidence that figures for regional demand for ethanol differ amongst regions and with values reported for national demand. → Elasticities for the center-south keep similarities to patterns for fuel demand in developed nations while coefficients for the north-northeast are aligned to patterns on developing countries.

Ethanol demand in Brazil: Regional approach

Energy Technology Data Exchange (ETDEWEB)

Freitas, Luciano Charlita de, E-mail: lucianofreitas@hiroshima-u.ac.j [Graduate School for International Development and Cooperation, Development Policy, Hiroshima University 1-5-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8529 (Japan); Kaneko, Shinji [Graduate School for International Development and Cooperation, Development Policy, Hiroshima University 1-5-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8529 (Japan)

2011-05-15

Successive studies attempting to clarify national aspects of ethanol demand have assisted policy makers and producers in defining strategies, but little information is available on the dynamic of regional ethanol markets. This study aims to analyze the characteristics of ethanol demand at the regional level taking into account the peculiarities of the developed center-south and the developing north-northeast regions. Regional ethanol demand is evaluated based on a set of market variables that include ethanol price, consumer's income, vehicle stock and prices of substitute fuels; i.e., gasoline and natural gas. A panel cointegration analysis with monthly observations from January 2003 to April 2010 is employed to estimate the long-run demand elasticity. The results reveal that the demand for ethanol in Brazil differs between regions. While in the center-south region the price elasticity for both ethanol and alternative fuels is high, consumption in the north-northeast is more sensitive to changes in the stock of the ethanol-powered fleet and income. These, among other evidences, suggest that the pattern of ethanol demand in the center-south region most closely resembles that in developed nations, while the pattern of demand in the north-northeast most closely resembles that in developing nations. - Research highlights: {yields} Article consists of a first insight on regional demand for ethanol in Brazil. {yields} It proposes a model with multiple fuels, i.e., hydrous ethanol, gasohol and natural gas. {yields} Results evidence that figures for regional demand for ethanol differ amongst regions and with values reported for national demand. {yields} Elasticities for the center-south keep similarities to patterns for fuel demand in developed nations while coefficients for the north-northeast are aligned to patterns on developing countries.

Information Literacy Skills Training: A Factor in Student Satisfaction with Access to High Demand Material

Science.gov (United States)

Perrett, Valerie

2010-01-01

In a survey of Business and Government, Law and Information Sciences students carried out at the University of Canberra, results showed that in-curricula information literacy skills training had a greater impact on students' satisfaction with access to high demand material than the purchase of additional copies of books. This paper will discuss…

Addressing Energy Demand through Demand Response. International Experiences and Practices

Energy Technology Data Exchange (ETDEWEB)

Shen, Bo [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ghatikar, Girish [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ni, Chun Chun [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dudley, Junqiao [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Martin, Phil [Enernoc, Inc., Boston, MA (United States); Wikler, Greg

2012-06-01

Demand response (DR) is a load management tool which provides a cost-effective alternative to traditional supply-side solutions to address the growing demand during times of peak electrical load. According to the US Department of Energy (DOE), demand response reflects “changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized.” 1 The California Energy Commission (CEC) defines DR as “a reduction in customers’ electricity consumption over a given time interval relative to what would otherwise occur in response to a price signal, other financial incentives, or a reliability signal.” 2 This latter definition is perhaps most reflective of how DR is understood and implemented today in countries such as the US, Canada, and Australia where DR is primarily a dispatchable resource responding to signals from utilities, grid operators, and/or load aggregators (or DR providers).

Price, environment and security: Exploring multi-modal motivation in voluntary residential peak demand response

International Nuclear Information System (INIS)

Gyamfi, Samuel; Krumdieck, Susan

2011-01-01

Peak demand on electricity grids is a growing problem that increases costs and risks to supply security. Residential sector loads often contribute significantly to seasonal and daily peak demand. Demand response projects aim to manage peak demand by applying price signals and automated load shedding technologies. This research investigates voluntary load shedding in response to information about the security of supply, the emission profile and the cost of meeting critical peak demand in the customers' network. Customer willingness to change behaviour in response to this information was explored through mail-back survey. The diversified demand modelling method was used along with energy audit data to estimate the potential peak load reduction resulting from the voluntary demand response. A case study was conducted in a suburb of Christchurch, New Zealand, where electricity is the main source for water and space heating. On this network, all water heating cylinders have ripple-control technology and about 50% of the households subscribe to differential day/night pricing plan. The survey results show that the sensitivity to supply security is on par with price, with the emission sensitivity being slightly weaker. The modelling results show potential 10% reduction in critical peak load for aggregate voluntary demand response. - Highlights: → Multiple-factor behaviour intervention is necessarily for effective residential demand response. → Security signals can achieve result comparable to price. → The modelling results show potential 10% reduction in critical peak load for aggregate voluntary demand response. → New Zealand's energy policy should include innovation and development of VDR programmes and technologies.

Exploring Demand Charge Savings from Commercial Solar

Energy Technology Data Exchange (ETDEWEB)

Darghouth, Naim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wiser, Ryan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Gagnon, Pieter [National Renewable Energy Lab. (NREL), Golden, CO (United States); Bird, Lori [National Renewable Energy Lab. (NREL), Golden, CO (United States)

2017-07-31

Commercial retail electricity rates commonly include a demand charge component, based on some measure of the customer’s peak demand. Customer-sited solar PV can potentially reduce demand charges, but the magnitude of these savings can be difficult to predict, given variations in demand charge designs, customer loads, and PV generation profiles. Moreover, depending on the circumstances, demand charges from solar may or may not align well with associated utility cost savings. Lawrence Berkeley National Laboratory (Berkeley Lab) and the National Renewable Energy Laboratory (NREL) are collaborating in a series of studies to understand how solar PV can reduce demand charge levels for a variety of customer types and demand charges designs. Previous work focused on residential customs with solar. This study, instead, focuses on commercial customers and seeks to understand the extent and conditions under which rooftop can solar reduce commercial demand charges. To answer these questions, we simulate demand charge savings for a broad range of commercial customer types, demand charge designs, locations, and PV system characteristics. This particular analysis does not include storage, but a subsequent analysis in this series will evaluate demand charge savings for commercial customers with solar and storage.

ECONOMIC & DEMOGRAPHIC CHARACTERICTICS, SOCIAL CAPITAL AND DEMAND FOR LIFE INSURANCE: EVIDENCE FROM CENTRAL REGION OF SRI LANKA

Directory of Open Access Journals (Sweden)

Sisira Kumara NARADDA GAMAGE

2016-08-01

Full Text Available This paper presents findings of the determinants of demand for life insurance in the central region of Sri Lanka.  It is a novel study in the sense that it incorporated social capital as a determinant of demand for life insurance. Primary data has been collected through random sampling and the logistic model was used to examine the determinants of the demand for life insurance. Results confirmed that gender, income, trust and social capital has significant effect on demand for life insurance in the study area. Income and trust came out positive contributors of life insurance demand. However, it is worthy to note that although income has a positive effect on life insurance demand but its odds ratio makes it less important factor to influence demand for life insurance. Gender has deteriorated effect on demand for life insurance indicating that male household head less likely to purchase life insurance. Similarly, social capital also has a negative impact on demand for life insurance. Other determinants like age, religious status, working status, and education, has not significant effect on life insurance demand. Policies are recommended on research findings.

Consumer Demand for Major Foods in Egypt

OpenAIRE

Basem Fayaad; Stanley R. Johnson; Mohamed El-Khishin

1995-01-01

This study provides information on the structure of the consumer demand for major foods in Egypt. The information is in the form of key parameters for consumer demand systems. The modern theory of consumer behavior is the basis for estimating systems of demand equations. These systems yield estimates of own- and cross-price elasticities. The Linear Almost Ideal Demand System (LAIDS) model is applied in estimating a system of demand equations for food commodities. A full demand matrix results ...

Are demand forecasting techniques applicable to libraries?

OpenAIRE

Sridhar, M. S.

1984-01-01

Examines the nature and limitations of demand forecasting, discuses plausible methods of forecasting demand for information, suggests some useful hints for demand forecasting and concludes by emphasizing unified approach to demand forecasting.

Identifying water price and population criteria for meeting future urban water demand targets

Science.gov (United States)

Ashoori, Negin; Dzombak, David A.; Small, Mitchell J.

2017-12-01

Predictive models for urban water demand can help identify the set of factors that must be satisfied in order to meet future targets for water demand. Some of the explanatory variables used in such models, such as service area population and changing temperature and rainfall rates, are outside the immediate control of water planners and managers. Others, such as water pricing and the intensity of voluntary water conservation efforts, are subject to decisions and programs implemented by the water utility. In order to understand this relationship, a multiple regression model fit to 44 years of monthly demand data (1970-2014) for Los Angeles, California was applied to predict possible future demand through 2050 under alternative scenarios for the explanatory variables: population, price, voluntary conservation efforts, and temperature and precipitation outcomes predicted by four global climate models with two CO2 emission scenarios. Future residential water demand in Los Angeles is projected to be largely driven by price and population rather than climate change and conservation. A median projection for the year 2050 indicates that residential water demand in Los Angeles will increase by approximately 36 percent, to a level of 620 million m3 per year. The Monte Carlo simulations of the fitted model for water demand were then used to find the set of conditions in the future for which water demand is predicted to be above or below the Los Angeles Department of Water and Power 2035 goal to reduce residential water demand by 25%. Results indicate that increases in price can not ensure that the 2035 water demand target can be met when population increases. Los Angeles must rely on furthering their conservation initiatives and increasing their use of stormwater capture, recycled water, and expanding their groundwater storage. The forecasting approach developed in this study can be utilized by other cities to understand the future of water demand in water-stressed areas

The United States rheumatology workforce: supply and demand, 2005-2025.

Science.gov (United States)

Deal, Chad L; Hooker, Roderick; Harrington, Timothy; Birnbaum, Neal; Hogan, Paul; Bouchery, Ellen; Klein-Gitelman, Marisa; Barr, Walter

2007-03-01

To develop and apply a model that allows prediction of current and future supply and demand for rheumatology services in the US. A supply model was developed using the age and sex distribution of current physicians, retirement and mortality rates, the number of fellowship slots and fill rates, and practice patterns of rheumatologists. A Markov projection model was used to project needs in 5-year increments from 2005 to 2025. The number of rheumatologists for adult patients in the US in 2005 is 4,946. Male and female rheumatologists are equally distributed up to age 44; above age 44, men predominate. The percent of women in adult rheumatology is projected to increase from 30.2% in 2005 to 43.6% in 2025. The mean number of visits per rheumatologist per year is 3,758 for male rheumatologists and 2,800 for female rheumatologists. Assuming rheumatology supply and demand are in equilibrium in 2005, the demand for rheumatologists in 2025 is projected to exceed supply by 2,576 adult and 33 pediatric rheumatologists. The primary factors in the excess demand are an aging population which will increase the number of people with rheumatic disorders, growth in the Gross Domestic Product, and flat rheumatology supply due to fixed numbers entering the workforce and to retirements. The productivity of younger rheumatologists and women, who will make up a greater percentage of the future workforce, may also have important effects on supply. Unknown effects that could influence these projections include technology advances, more efficient practice methods, changes in insurance reimbursements, and shifting lifestyles. Current data suggest that the pediatric rheumatology workforce is experiencing a substantial excess of demand versus supply. Based on assessment of supply and demand under current scenarios, the demand for rheumatologists is expected to exceed supply in the coming decades. Strategies for the profession to adapt to this changing health care landscape include increasing

Organizational demands on the man-organization interface in nuclear power plant operation

International Nuclear Information System (INIS)

Bandholz, D.

1994-01-01

The partial project SR 2039/4 investigates organizational demands and factors of the man-organization interface. Thee study is divided into the sections inventory of rules and guidelines; evaluation of organizational structures and modes of operation, and working out of demand characteristics and evaluation criteria. The objective consists in representing, analyzing and evaluating the efficiency structure of sequence organization, and deriving practice-relevant concept proposals in order to optimize the man-organization interface. In this regard, the working out of control mechanisms for the evaluation of organizational sequences is of considerable importance as a kind of working aid. (orig./DG) [de

Collusion and the elasticity of demand

OpenAIRE

David Collie

2004-01-01

The analysis of collusion in infinitely repeated Cournot oligopoly games has generally assumed that demand is linear, but this note uses constant-elasticity demand functions to investigate how the elasticity of demand affects the sustainability of collusion.

Optimal real time cost-benefit based demand response with intermittent resources

International Nuclear Information System (INIS)

Zareen, N.; Mustafa, M.W.; Sultana, U.; Nadia, R.; Khattak, M.A.

2015-01-01

Ever-increasing price of conventional energy resources and related environmental concern enforced to explore alternative energy sources. Inherent uncertainty of power generation and demand being strongly influenced by the electricity market has posed severe challenges for DRPs (Demand Response Programs). Definitely, the success of such uncertain energy systems under new market structures is critically decided by the advancement of innovative technical and financial tools. Recent exponential growth of DG (distributed generations) demanded both the grid reliability and financial cost–benefits analysis for deregulated electricity market stakeholders. Based on the SGT (signaling game theory), the paper presents a novel user-aware demand-management approach where the price are colligated with grid condition uncertainties to manage the peak residential loads. The degree of information disturbances are considered as a key factor for evaluating electricity bidding mechanisms in the presence of independent multi-generation resources and price-elastic demand. A correlation between the cost–benefit price and variable reliability of grid is established under uncertain generation and demand conditions. Impacts of the strategies on load shape, benefit of customers and the reduction of energy consumption are inspected and compared with Time-of-Used based DRPs. Simulation results show that the proposed DRP can significantly reduce or even eliminate peak-hour energy consumption, leading to a substantial raise of revenues with 18% increase in the load reduction and a considerable improvement in system reliability is evidenced. - Highlights: • Proposed an optimal real time cost-benefit based demand response model. • Used signaling game theory for the information disturbances in deregulated market. • Introduced a correlation between the cost–benefit price and variable grid reliability. • Derive robust bidding strategies for utility/customers successful participation. �

Temperature Effect on Energy Demand

Energy Technology Data Exchange (ETDEWEB)

Kim, Young Duk [Korea Energy Economics Institute, Euiwang (Korea)

1999-03-01

We provide various estimates of temperature effect for accommodating seasonality in energy demand, particularly natural gas demand. We exploit temperature response and monthly temperature distribution to estimate the temperature effect on natural gas demand. Both local and global smoothed temperature responses are estimated from empirical relationship between hourly temperature and hourly energy consumption data during the sample period (1990 - 1996). Monthly temperature distribution estimates are obtained by kernel density estimation from temperature dispersion within a month. We integrate temperature response and monthly temperature density over all the temperatures in the sample period to estimate temperature effect on energy demand. Then, estimates of temperature effect are compared between global and local smoothing methods. (author). 15 refs., 14 figs., 2 tabs.

Forecast electricity demand in Quebec: Development plan 1993

International Nuclear Information System (INIS)

1992-01-01

Demographic, economic, and energy prospects are the determining factors in estimating demand for electricity in Quebec. In average scenarios developed for 1992-2010, the Quebec population will grow 0.5%/y and the gross domestic product will increase 2.6%/y. Firm electricity sales by Hydro-Quebec will grow to 197.9 TWh by 2010, or 2.2%/y. Sales in the residential and farm sectors should grow 1.3%/y and sales in the general and institutional sectors should rise by 2.2%/y. Electricity demand in the industrial sector, rising at an estimated 2.9%/y in 1992-2010, is chiefly responsible for the anticipated growth in Hydro-Quebec's overall sales. The nonferrous smelting, refining, chemicals, and paper industries will account for ca 60% of this growth. In the municipal services and public transportation sectors, demand should grow 3.3%/y, and over half the growth forecast in this sector can be attributed to the impact that new uses of electricity are expected to have after 2005. High- and low-growth scenarios offer alternative visions of demand growth based on different but equally valid assumptions about demographic and economic growth. In terms of firm electricity sales, the high- and low-growth scenarios differ by 50 TWh in 2010. Hydro-Quebec has retained two strategic orientations that will influence growth in electricity sales: the development of industrial markets and extension of the energy-savings objective of 9.3 TWh forecast to the year 2000. Taking these two orientations into account, the growth rate for electricity sales in the average scenario would be 1.8%/y rather than 2.2%/y. 25 figs., 81 tabs

Estimates of future demand for uranium and nuclear fuel cycle services

Energy Technology Data Exchange (ETDEWEB)

Krymm, R; Woite, G [International Atomic Energy Agency, Division of Nuclear Power and Reactors, Economic Studies Section, Vienna (Austria)

1976-07-01

As a review of forecasts made over the last few years amply demonstrates, projections of nuclear power capacity on a country, regional or world basis are subject to uncertainties. It summarizes the evolution of estimates made in the recent past, should provide a sobering reminder of the advisability of relying on ranges rather than on single figures. Although they are derived from a relatively narrow range of assumptions for nuclear power capacity, the alternative estimates of demands for uranium and nuclear-fuel-cycle services differ by about 50%. If plausible variations in breeder penetration, load factors, tails assays and fuel performance were taken into account, a ratio of 2 between maximum and minimum possible demands for the 2000 could easily be approached. Thus, for instance, a 15% (instead of 5%) breeder penetration by the year 2000 would decrease annual natural uranium demand by about 10%, a drop of load factor from 0.7 to 0.6 would drop the demand by another 10%, a decrease in tail assay from 0.25% to 0.2% would drop the demand by 8%. These momentous uncertainties, characteristic of medium- and long-term demand projections, offer a sharp contrast to the inflexibility of short-term requirements. Once a nuclear plant is ordered, the demand for the fuel services required for its core and for its replacement loadings is practically fixed (subject to minor trade-offs) and it can only be delayed in time by accepting exceedingly heavy additional costs. The demand for uranium can be characterized as being uncertain in the future and inelastic in the present. It faces sources of supply which, with the exception of fabrication and conversion facilities, are characterized by long planning times, lengthy prospecting and construction times, and above all by heavy capital investments. This combination offers an almost ideal framework for instability and wild price fluctuations if consumers and suppliers operate independently seeking temporary guidance in their

Estimates of future demand for uranium and nuclear fuel cycle services

International Nuclear Information System (INIS)

Krymm, R.; Woite, G.

1976-01-01

As a review of forecasts made over the last few years amply demonstrates, projections of nuclear power capacity on a country, regional or world basis are subject to uncertainties. It summarizes the evolution of estimates made in the recent past, should provide a sobering reminder of the advisability of relying on ranges rather than on single figures. Although they are derived from a relatively narrow range of assumptions for nuclear power capacity, the alternative estimates of demands for uranium and nuclear-fuel-cycle services differ by about 50%. If plausible variations in breeder penetration, load factors, tails assays and fuel performance were taken into account, a ratio of 2 between maximum and minimum possible demands for the 2000 could easily be approached. Thus, for instance, a 15% (instead of 5%) breeder penetration by the year 2000 would decrease annual natural uranium demand by about 10%, a drop of load factor from 0.7 to 0.6 would drop the demand by another 10%, a decrease in tail assay from 0.25% to 0.2% would drop the demand by 8%. These momentous uncertainties, characteristic of medium- and long-term demand projections, offer a sharp contrast to the inflexibility of short-term requirements. Once a nuclear plant is ordered, the demand for the fuel services required for its core and for its replacement loadings is practically fixed (subject to minor trade-offs) and it can only be delayed in time by accepting exceedingly heavy additional costs. The demand for uranium can be characterized as being uncertain in the future and inelastic in the present. It faces sources of supply which, with the exception of fabrication and conversion facilities, are characterized by long planning times, lengthy prospecting and construction times, and above all by heavy capital investments. This combination offers an almost ideal framework for instability and wild price fluctuations if consumers and suppliers operate independently seeking temporary guidance in their

Education on Demand

DEFF Research Database (Denmark)

Boysen, Lis; Hende, Merete

2015-01-01

Dette notat beskriver nogle af resultaterne fra programmet "Education on Demand' i projektet Det erhvervsrettede Uddannelseslaboratorium. Programmet har haft fokus på udfordringer og forandringsbehov i uddannelsesinstitutioner og -systemet. Herunder har det beskæftiget sig særligt med de to temat......Dette notat beskriver nogle af resultaterne fra programmet "Education on Demand' i projektet Det erhvervsrettede Uddannelseslaboratorium. Programmet har haft fokus på udfordringer og forandringsbehov i uddannelsesinstitutioner og -systemet. Herunder har det beskæftiget sig særligt med de...

Investigating the determining factors for transit travel demand by bus mode in US metropolitan statistical areas.

Science.gov (United States)

2015-05-01

Proper understanding of the nature of the transit travel demand is at the heart of transportation policy making and the success of : transit systems. Unfortunately, most of the existing studies have focused on a single or few transit systems or metro...

Job demands, job resources and work engagement of academic staff in South African higher education institutions

Directory of Open Access Journals (Sweden)

S Rothmann

2006-10-01

Full Text Available The objective of this study was to investigate the work engagement of academics in selected South African higher education institutions as well as the impact of job demands and job resources on their work engagement. Stratified random samples (N = 471 were drawn from academic staff in three higher education institutions in South Africa. The Utrecht Work Engagement Scale (UWES and the Job Demands-Resources Scale (JDRS were administered. The results confirmed a two-factor structure of work engagement, consisting of vigour and dedication. Six reliable factors were extracted on the JDRS, namely organisational support, growth opportunities, social support, overload, advancement and job insecurity. Job resources (including organisational support and growth opportunities predicted 26% of the variance in vigour and 38% of the variance in dedication. Job demands (overload impacted on dedication of academics at low and moderate levels of organisational support.

Vendor-buyer ordering policy when demand is trapezoidal

Directory of Open Access Journals (Sweden)

Digeshkumar B. Shah

2012-10-01

Full Text Available A joint vendor-buyer strategy is analyzed which is beneficial to both the players in the supply chain. The demand is assumed to be trapezoidal. It is established numerically that the joint venture decreases the total cost of the supply chain when compared with the independent decision of the buyer. To entice the buyer to order more units, a permissible credit period is offered by the vendor to the buyer. A negotiation factor is incorporated to share the cost savings.

Demand estimation of bus as a public transport based on gravity model

Directory of Open Access Journals (Sweden)

Asmael Noor

2018-01-01

Full Text Available Bus as a public transport is a suitable service to meet the travel demand between any two zones. Baghdad faced with severe traffic problems along with the development in city size and economy. Passengers have to wait lots of time during commutation to work because of the serious traffic jams. In the last years, rate of car ownership has increased as income levels have gone up and cars have become a preferable mode of transport. Bus, as the only public mode of transport available, is suffering from inconvenience, slowness, and inflexibility. A big emphasis must be given to the public transport system because it introduces an active utilization of limited resources, energy and land. This study determines the demand of public routes for buses using boarding / alighting values to generate a model and assign these demand values to the bus network. Five public routes were selected to collect the required data. Ride check and Point check survey was conducted for each selected route. The results of this study were public demand assigned to the selected bus routes, dwell time, load factor and headway. It is observed that R1 and R3 have the heaviest travel demand; they need special study to improve bus performance and make better transit. The model developed with only limited data available to predict travel demand will assist transportation planners and related agencies in decision making.

Estimating future dental services' demand and supply: a model for Northern Germany.

Science.gov (United States)

Jäger, Ralf; van den Berg, Neeltje; Hoffmann, Wolfgang; Jordan, Rainer A; Schwendicke, Falk

2016-04-01

To plan dental services, a spatial estimation of future demands and supply is required. We aimed at estimating demand and supply in 2030 in Northern Germany based on the expected local socio-demography and oral-health-related morbidity, and the predicted number of dentists and their working time. All analyses were performed on zip-code level. Register data were used to determine the number of retiring dentists and to construct regression models for estimating the number of dentists moving into each zip-code area until 2030. Demand was modelled using projected demography and morbidities. Demand-supply ratios were evaluated and spatial analyses applied. Sensitivity analyses were employed to assess robustness of our findings. Compared with 2011, the population decreased (-7% to -11%) and aged (from mean 46 to 51 years) until 2030. Oral-health-related morbidity changed, leading to more periodontal and fewer prosthetic treatments needs, with the overall demand decreasing in all scenarios (-25% to -33%). In contrast, the overall number of dentists did only limitedly change, resulting in moderate decrease in the supplied service quantities (max. -22%). Thus, the demand-supply ratio increased in all but the worst case scenario, but was unequally distributed between spatial units, with several areas being over- and some being under- or none-serviced in 2030. Within the limitations of the underlying data and the required assumptions, this study expects an increasingly polarized ratio of dental services demand and supply in Northern Germany. Our estimation allows to assess the impact of different influence factors on demand or supply and to specifically identify potential challenges for workforce planning and regulation in different spatial units. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Water resources adaptation to climate and demand change in the Potomac river

Science.gov (United States)

The effects of climate change are increasingly considered in conjunction with changes in water demand and reservoir sedimentation in forecasts of water supply vulnerability. Here, the relative effects of these factors are evaluated for the Washington, DC metropolitan area water supply for the near f...

Divergent systemic and local inflammatory response to hind limb demand ischemia in wild-type and ApoE-/- mice.

Science.gov (United States)

Crawford, Robert S; Albadawi, Hassan; Robaldo, Alessandro; Peck, Michael A; Abularrage, Christopher J; Yoo, Hyung-Jin; Lamuraglia, Glenn M; Watkins, Michael T

2013-08-01

We designed studies to determine whether the ApoE-/- phenotype modulates the local skeletal muscle and systemic inflammatory (plasma) responses to lower extremity demand ischemia. The ApoE-/- phenotype is an experimental model for atherosclerosis in humans. Aged female ApoE-/- and C57BL6 mice underwent femoral artery ligation, then were divided into sedentary and demand ischemia (exercise) groups on day 14. We assessed baseline and postexercise limb perfusion and hind limb function. On day 14, animals in the demand ischemia group underwent daily treadmill exercise through day 28. Sedentary mice were not exercised. On day 28, we harvested plasma and skeletal muscle from ischemic limbs from sedentary and exercised mice. We assayed muscle for angiogenic and proinflammatory proteins, markers of skeletal muscle regeneration, and evidence of skeletal muscle fiber maturation. Hind limb ischemia was similar in ApoE-/- and C57 mice before the onset of exercise. Under sedentary conditions, plasma vascular endothelial cell growth factor and interleukin-6, but not keratinocyte chemoattractant factor (KC) or macrophage inflammatory protein-2 (MIP-2), were higher in ApoE (P factor, KC, and MIP-2, but not IL-6, were lower in ApoE (P demand ischemia in the C57BL6 mice, compared with the ApoE-/- mice (P = 0.01). Demand limb ischemia in the ApoE-/- phenotype exacerbated the expression of select systemic cytokines in plasma and blunted indices of muscle regeneration. Copyright © 2013 Elsevier Inc. All rights reserved.

The World Demand for Catfish Pangasius

DEFF Research Database (Denmark)

Nguyen, Thong Tien; Roth, Eva; Nielsen, Max

2014-01-01

flexibilities are less than 1. While there are many demand studies for other whitefish species and salmon, which are strongly competed by catfish in many markets, there is a lack of demand study for Pangasius catfish. Therefore, this study will supplement seafood demand literature and be meaningful for seafood......In this paper we present a world demand system for Pangasius catfish products. We use solely exporting data from Vietnam for estimating a non-linear Almost Ideal Demand System because Vietnam accounts for more than 90% catfish export value of the world and the products exported are mostly...... in filleted form. The demand system includes seven equations representing for most important markets that are ASEAN & EAST ASIA, NORTH AMERICA, OCEANIA, RUSIAN & EASTERN EU, SOUTH & CENTRAL AMERICA, WESTERN EU, and ROW (rest of the world) markets. The monthly data are updating from January 2007 to March 2014...

Province gets serious about demand management

International Nuclear Information System (INIS)

Anon

2003-01-01

Directives from the Minister to the Ontario Energy Board to review options for demand-side management and demand reduction activities, and discussion papers describing the policy framework needed to implement demand management, are indications of renewed interest by the provincial government in demand-side management of Ontario's electric power supply. This renewed interest comes on the hills of a 5.5 per cent increase in electricity use, a 33 per cent increase in imports, and consumption records broken in 10 of the last 12 months. A 117-page study was released in April by Navigant Consulting, entitled 'Demand response blueprint for Ontario' which estimates that if the Ontario market had 250 MW of additional demand response, customers providing the demand response would have saved $20 million by reducing their demand when HOEP was greater than $120/MWh, while other customers would have saved $170 million due to lower HOEP, and would have enjoyed greater reliability as a result of the increase in reserve margins. Other than price signals to induce customers to save, the Navigant report suggest paying customers not to consume during peak periods. The report estimates that such a policy could generate a total demand response of 350 MW and a $235 million reduction in revenue to generators. The Navigan report also includes a large number of detailed analysis and recommendations. One among them is for the extensive use of interval meters for customers with loads over 200 kW. The report tends to be critical of the recent price freeze ordered by the Ontario government, claiming that the freeze could increase consumption, making prices more volatile and increasing the cost to the government even more. Successful demand response programs from California, New York and the New England states are cited as examples for Ontario to emulate

Is the available cropland and water enough for food demand? A global perspective of the Land-Water-Food nexus

Science.gov (United States)

Ibarrola-Rivas, M. J.; Granados-Ramírez, R.; Nonhebel, S.

2017-12-01

Land and water are essential local resources for food production but are limited. The main drivers of increasing food demand are population growth and dietary changes, which depend on the socioeconomic situation of the population. These two factors affect the availability of local resources: population growth reduces the land and water per person; and adoption of affluent diets increases the demand for land and water per person. This study shows potentials of global food supply by linking food demand drivers with national land and water availability. Whether the available land and water is enough to meet national food demand was calculated for 187 countries. The calculations were performed for the past situation (1960 and 2010) and to assess four future scenarios (2050) to discuss different paths of diets, population numbers and agricultural expansion. Inclusion of the demand perspective in the analysis has shown stronger challenges for future global food supply than have other studies. The results show that with the "business as usual" scenario, 40% of the global population in 2050 will live in countries with not enough land nor water to meet the demands of their population. Restriction to basic diets will be the most effective in lowering both land and water constraints. Our results identify both food production and food demand factors, and the regions that may experience the strongest challenges in 2050.

Promotion and Fast Food Demand

OpenAIRE

Timothy J. Richards; Luis Padilla

2009-01-01

Many believe that fast food promotion is a significant cause of the obesity epidemic in North America. Industry members argue that promotion only reallocates brand shares and does not increase overall demand. We study the effect of fast food promotion on market share and total demand by estimating a discrete / continuous model of fast food restaurant choice and food expenditure that explicitly accounts for both spatial and temporal determinants of demand. Estimates are obtained using a unique...

Global Supply and Demand of Opioids for Pain Management.

Science.gov (United States)

Kunnumpurath, Sreekumar; Julien, Natasha; Kodumudi, Gopal; Kunnumpurath, Anamika; Kodumudi, Vijay; Vadivelu, Nalini

2018-04-04

The goal of this review is to evaluate the global supply and demand of opioids used for pain management and discuss how it relates to the utilization of opioids around the world. The purpose of the review is also to determine the factors that contribute to inappropriate pain management. The total global production of opium for opioid manufacturing is enough to supply the growing global demands. However, licit opioids are only consumed by 20% of the world population. Most people throughout the world had no access to opioid analgesics for pain relief in case of need. Opioid misuse and abuse is not only a phenomena plague by the USA but globally across many countries. Many countries have a lack of availability of opioids, contributing factors being strict government regulations limiting access, lack of knowledge of the efficacy of opioid analgesics in treating acute and chronic pain and palliative care, and the stigma that opioids are highly addictive. For the countries in which opioids are readily available and prescribed heavily, diversion, misuse, abuse, and the resurgence of heroin have become problems leading to morbidity and mortality. It is pertinent to find a balance between having opioids accessible to patients in need, with ensuring that opioids are regulated along with other illicit drugs to decrease abuse potential.

Cointegration and the demand for gasoline

International Nuclear Information System (INIS)

Bhaskara Rao, B.; Rao, Gyaneshwar

2009-01-01

Since the early 1970s, there has been a worldwide upsurge in the price of energy and in particular of gasoline. Therefore, demand functions for energy and its components like gasoline have received much attention. However, since confidence in the estimated demand functions is important for use in policy and forecasting, following [Amarawickrama, H.A., Hunt, L.C., 2008. Electricity demand for Sri Lanka: A time series analysis. Energy Economics 33, 724-739], this paper estimates the demand for gasoline is estimated with five alternative time series techniques with data from Fiji. Estimates with these alternative techniques are very close, and thus increase our confidence in them. We found that gasoline demand is both price and income inelastic.

Cointegration and the demand for gasoline

Energy Technology Data Exchange (ETDEWEB)

Bhaskara Rao, B. [University of Western Sydney, Sydney1797 (Australia); Rao, Gyaneshwar [University of the South Pacific (Fiji)

2009-10-15

Since the early 1970s, there has been a worldwide upsurge in the price of energy and in particular of gasoline. Therefore, demand functions for energy and its components like gasoline have received much attention. However, since confidence in the estimated demand functions is important for use in policy and forecasting, following [Amarawickrama, H.A., Hunt, L.C., 2008. Electricity demand for Sri Lanka: A time series analysis. Energy Economics 33, 724-739], this paper estimates the demand for gasoline is estimated with five alternative time series techniques with data from Fiji. Estimates with these alternative techniques are very close, and thus increase our confidence in them. We found that gasoline demand is both price and income inelastic. (author)

Effects of steering demand on lane keeping behaviour, self-reports, and physiology. A simulator study.

Science.gov (United States)

Dijksterhuis, Chris; Brookhuis, Karel A; De Waard, Dick

2011-05-01

In this study a driving simulator was used to determine changes in mental effort in response to manipulations of steering demand. Changes in mental effort were assessed by using subjective effort ratings, physiology, and the standard deviation of the lateral position. Steering demand was increased by exposure to narrow lane widths and high density oncoming traffic while speed was fixed in all conditions to prevent a compensatory reaction. Results indicated that both steering demand factors influence mental effort expenditure and using multiple measures contributes to effort assessment. Application of these outcomes for adaptive automation is envisaged. Copyright © 2010 Elsevier Ltd. All rights reserved.

7 CFR 987.11 - Trade demand.

Science.gov (United States)

2010-01-01

... 7 Agriculture 8 2010-01-01 2010-01-01 false Trade demand. 987.11 Section 987.11 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... RIVERSIDE COUNTY, CALIFORNIA Order Regulating Handling Definitions § 987.11 Trade demand. Trade demand means...

7 CFR 981.21 - Trade demand.

Science.gov (United States)

2010-01-01

... 7 Agriculture 8 2010-01-01 2010-01-01 false Trade demand. 981.21 Section 981.21 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Regulating Handling Definitions § 981.21 Trade demand. Trade demand means the quantity of almonds...

Beyond the internal dynamics of organizational responses to conflicting institutional demands

Directory of Open Access Journals (Sweden)

Viviana Gutiérrez‐Rincón

2014-10-01

Full Text Available This paper presents some reflections on strategic response models, in particular the models proposed by Pache, Santos and Oliver, and it evaluates their complementarity and differences, especially regarding the interactions between decision making and the possible strategic responses to institutional demands. It is argued that the theoretical contributions of Pache and Santos can be categorized under the dimension of utility, because they can enhance the potential to operationalize and test the model. However, the reflections made in this paper not only highlight the need to take into account other external and internal factors for the study of strategic responses, but also the integration of different linkages of the decision process with strategic responses to institutional demands.

Long term energy demand projection and potential for energy savings of Croatian tourism–catering trade sector

International Nuclear Information System (INIS)

Irsag, Bojan; Pukšec, Tomislav; Duić, Neven

2012-01-01

Today, tourism represents one of the backbones of Croatian economy and one of the main factors of its growth. Combined with catering trade sector, tourism represents a significant energy consumer that has the tendencies of future growth. Since services sector, which tourism–catering trade sector is a part of, is not yet well described regarding future energy balances it would be very interesting to see how could possible future growth in tourism influence energy consumption of the services sector in Croatia. Through this paper long term energy demand projections of tourism–catering trade sector were studied with special emphasis on future growth of tourism in Croatia as well as different mechanisms that might lead to certain energy savings. Bottom-up approach was chosen as the most suitable one since it allows better quantification of different measures, technological or legal, that would influence future energy demand. Downside of this approach is extensive input data that is required to analyse and model future energy demand which is roughly divided into heating/cooling section and all other consumption. Results show that additional energy savings in the tourism–catering trade sector are possible if careful and rational demand side planning is in place. -- Highlights: ► Future energy demand of Croatian touristm–catering trade sector has been modelled. ► Model is roughly divided into two basic modes (heating/cooling and all other consumption). ► Different factors influencing future energy demand were implemented into the model. ► Possibilities for energy efficiency improvements have been presented.

ECONOMETRIC ANALYSIS OF CEREAL DEMAND IN MOROCCO USING THE ALMOST IDEAL DEMAND SYSTEM

Directory of Open Access Journals (Sweden)

Sara Essaten

2018-04-01

Full Text Available Following up the agricultural policy in Morocco and enforcing it, the new strategy Green Morocco Plan (GMP launched in 2008 also stressed on the cereals’ supply. Meantime, despite their significant nutritional role, little attention has been paid to the demand side. This paper intends to perform an econometric analysis of the demand of five main cereals - Common wheat, Durum wheat, Barley, Corn and Rice- using a linear version of the flexible Almost Ideal Demand System (LA/AIDS model. A Seemingly Unrelated Regression (SUR approach has been applied to the demand system equations with annual data covering the period from 1980 to 2015. At the overall, regular econometric restrictions (stability, structural separability, validity, etc. have been respected our results suggest that the relations of complementarity or substitution are not determining in the cereal bundle in Morocco. Also, the Moroccan consumer behavior is characterized by a strong sensibility towards common wheat price’s changes and by a difficult access for the durum wheat as it is considered as luxury good.

Estimation on oil demand and oil saving potential of China's road transport sector

International Nuclear Information System (INIS)

Lin, Boqiang; Xie, Chunping

2013-01-01

China is currently in the stage of industrialization and urbanization, which is characterized by rigid energy demand and rapid growth of energy consumption. Therefore, energy conservation will become a major strategy for China in a transition to low-carbon economy. China's transport industry is of high energy consumption. In 2010, oil consumption in transport industry takes up 38.2% of the country's total oil demand, of which 23.6% is taken up by road transport sector. As a result, oil saving in China's road transport sector is vital to the whole nation. The co-integration method is developed to find a long-run relationship between oil consumption and affecting factors such as GDP, road condition, labor productivity and oil price, to estimate oil demand and to predict future oil saving potential in China's transport sector under different oil-saving scenarios. Monte Carlo simulation is further used for risk analysis. Results show that under BAU condition, oil demand of China's road transport sector will reach 278.5 million ton of oil equivalents (MTOE) in 2020. Oil saving potential will be 86 MTOE and 131 MTOE under moderate oil-saving scenario and advanced oil-saving scenario, respectively. This paper provides a reference to establishing oil saving policy for China's road transport sector. - Highlights: • We adopt the co-integration model to estimate oil demand and oil saving potential of China's road transport sector. • Monte Carlo simulation is further used for risk analysis. • GDP, ratio of classified highway, labor productivity and oil price are main factors affecting oil consumption. • Scenario analysis approach is applied to calculate oil saving potential under different energy saving scenarios. • Future policy for oil conservation in China's road transport sector is suggested

Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model

OpenAIRE

Jinchao Li; Lin Chen; Yuwei Xiang; Jinying Li; Dong Peng

2018-01-01

Electric grid investment demand analysis is significant to reasonably arranging construction funds for the electric grid and reduce costs. This paper used the panel data of electric grid investment from 23 provinces of China between 2004 and 2016 as samples to analyze the influence between electric grid investment demand and GDP, population scale, social electricity consumption, installed electrical capacity, and peak load based on co-integration tests. We find that GDP and peak load have pos...

The Social Demand for Education in Peru: Students' Choices and State Autonomy.

Science.gov (United States)

Post, David

1990-01-01

Asked 3,200 Peruvian graduating secondary students to explain their choice concerning whether to attend college. Reveals human capital theory's limited applicability, showing only wealthier urban boys used cost effectiveness in their decision. Relates the heterogeneity of higher education demand factors to inherent limits in Latin American…

Intercity Travel Demand Analysis Model

OpenAIRE

Ming Lu; Hai Zhu; Xia Luo; Lei Lei

2014-01-01

It is well known that intercity travel is an important component of travel demand which belongs to short distance corridor travel. The conventional four-step method is no longer suitable for short distance corridor travel demand analysis for the time spent on urban traffic has a great impact on traveler's main mode choice. To solve this problem, the author studied the existing intercity travel demand analysis model, then improved it based on the study, and finally established a combined model...

Wood supply and demand

Science.gov (United States)

Peter J. Ince; David B. McKeever

2011-01-01

At times in history, there have been concerns that demand for wood (timber) would be greater than the ability to supply it, but that concern has recently dissipated. The wood supply and demand situation has changed because of market transitions, economic downturns, and continued forest growth. This article provides a concise overview of this change as it relates to the...

Uranium supply and demand

Energy Technology Data Exchange (ETDEWEB)

Spriggs, M J

1976-01-01

Papers were presented on the pattern of uranium production in South Africa; Australian uranium--will it ever become available; North American uranium resources, policies, prospects, and pricing; economic and political environment of the uranium mining industry; alternative sources of uranium supply; whither North American demand for uranium; and uranium demand and security of supply--a consumer's point of view. (LK)

North American supply/demand

International Nuclear Information System (INIS)

Pocino, M.C.

1998-01-01

The projected supply and demand for natural gas in five major regions of North America for the year 2000 was presented. In most regions, supply is expected to be greater than demand. A summary of how California dealt with an increase in natural gas demand in 1990 was presented. The California strategy included a readjustment of pipeline capacity, storage capacity and transportation. Whereas in the 1980s, when capacity was inadequate, the focus was on competition with alternate fuels, maximized capacity use, primary concern about reliability and only secondary concern about price, in the the 1990s, with excess capacity, the emphasis is on 'gas on gas' competition, efforts to satisfy the customer, primary concern about price, and only marginal concern about reliability. tabs., figs

Tourism demand in Asean-5 countries: Evidence from panel data analysis

Directory of Open Access Journals (Sweden)

Nur Fadzlunnisaa Wakimin

2018-06-01

Full Text Available Tourism has emerged as a major industry worldwide and a sector in many countries. This sector has experienced a rapid growth and has become a key driver for sustainable socioeconomic developments globally. However, tourism is also a vector of environmental degradation through the emission of greenhouse gases (GHG. Therefore, the aim of this study was to analyze the main factors that are affecting the tourism demand in ASEAN-5 countries. Using a panel of five ASEAN countries over a 44-year period and applying the Pooled Mean Group (PMG approach, the empirical results have shown that the major determinants of tourism demand in these countries are income, trade, tourism price, and carbon dioxide emission. The results have also shown that the PMG performed better than the Mean Group (MG estimator. This paper refers to the PMG estimator because it constrains the long run coefficients to be identical, but allows the short run coefficients and error variances to differ across groups. Income and trade appeared to exert significant positive impacts on tourism demand, whereas tourism price and carbon dioxide emissions have negative impacts on tourism demand in these ASEAN-5 countries. The results would be a good reference for policy makers in these specific countries.

Forecasting Electricity Demand in Thailand with an Artificial Neural Network Approach

Directory of Open Access Journals (Sweden)

Karin Kandananond

2011-08-01

Full Text Available Demand planning for electricity consumption is a key success factor for the development of any countries. However, this can only be achieved if the demand is forecasted accurately. In this research, different forecasting methods—autoregressive integrated moving average (ARIMA, artificial neural network (ANN and multiple linear regression (MLR—were utilized to formulate prediction models of the electricity demand in Thailand. The objective was to compare the performance of these three approaches and the empirical data used in this study was the historical data regarding the electricity demand (population, gross domestic product: GDP, stock index, revenue from exporting industrial products and electricity consumption in Thailand from 1986 to 2010. The results showed that the ANN model reduced the mean absolute percentage error (MAPE to 0.996%, while those of ARIMA and MLR were 2.80981 and 3.2604527%, respectively. Based on these error measures, the results indicated that the ANN approach outperformed the ARIMA and MLR methods in this scenario. However, the paired test indicated that there was no significant difference among these methods at α = 0.05. According to the principle of parsimony, the ARIMA and MLR models might be preferable to the ANN one because of their simple structure and competitive performance

Availability analysis of subsea blowout preventer using Markov model considering demand rate

Directory of Open Access Journals (Sweden)

Sunghee Kim

2014-12-01

Full Text Available Availabilities of subsea Blowout Preventers (BOP in the Gulf of Mexico Outer Continental Shelf (GoM OCS is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failures in multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the β factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis.

Natural gas in Brazil's energy matrix: demand for 1995-2010 and usage factors

International Nuclear Information System (INIS)

Fernandes, Elton; Fonseca, Marcus Vinicius de A; Alonso, P.S.R.

2005-01-01

This paper describes and analyzes the constraints hampering achievement of the 12% share planned for natural gas in Brazil's energy matrix by 2010, and advises policies for reaching that goal on the basis of forecasts and three probable scenarios for the development of the Brazilian economy. The 12% share goal was established in 1993 by the Ministry of Mines and Energy and confirmed in 2000, and is now in full development. The figures used to represent the estimates of natural gas demands in the three scenarios were obtained from the Integrated Energy Planning Model (MIPE--Modelo Integrado de Planejamento Energetico), which is a technical and economic forecasting model developed by a group of researchers linked to the Energy Planning Program run by the Graduate Engineering Programs Coordination Unit at the Rio de Janeiro Federal University (COPPE-UFRJ) under the sponsorship of Petrobras (a Brazilian enterprise operating in the oil and gas segment) and Eletrobras (a Brazilian enterprise in charge of electricity demand planning). The analysis of the constraints take place under the aegis of the objective proposed by the Brazilian Government. The authors suggest specific actions to be taken in four application areas of natural gas: industrial, electric power generation, domestic distribution and vehicular fleet conversions. All the actions proposed encourage the use of a fuel with low environmental impacts and high calorie power, replacing firewood and other polluting fuels and are evaluated relative to the impacts occurring in society, especially from the standpoint of social welfare in a developing country. The necessity of developing the goods and services infrastructure in the country to support the natural gas insertion in the Brazilian energy matrix is also addressed

Driving demand for broadband networks and services

CERN Document Server

Katz, Raul L

2014-01-01

This book examines the reasons why various groups around the world choose not to adopt broadband services and evaluates strategies to stimulate the demand that will lead to increased broadband use. It introduces readers to the benefits of higher adoption rates while examining the progress that developed and emerging countries have made in stimulating broadband demand. By relying on concepts such as a supply and demand gap, broadband price elasticity, and demand promotion, this book explains differences between the fixed and mobile broadband demand gap, introducing the notions of substitution and complementarity between both platforms. Building on these concepts, ‘Driving Demand for Broadband Networks and Services’ offers a set of best practices and recommendations aimed at promoting broadband demand.  The broadband demand gap is defined as individuals and households that could buy a broadband subscription because they live in areas served by telecommunications carriers but do not do so because of either ...

Demand-driven care and hospital choice. Dutch health policy toward demand-driven care: results from a survey into hospital choice.

Science.gov (United States)

Lako, Christiaan J; Rosenau, Pauline

2009-03-01

In the Netherlands, current policy opinion emphasizes demand-driven health care. Central to this model is the view, advocated by some Dutch health policy makers, that patients should be encouraged to be aware of and make use of health quality and health outcomes information in making personal health care provider choices. The success of the new health care system in the Netherlands is premised on this being the case. After a literature review and description of the new Dutch health care system, the adequacy of this demand-driven health policy is tested. The data from a July 2005, self-administered questionnaire survey of 409 patients (response rate of 94%) as to how they choose a hospital are presented. Results indicate that most patients did not choose by actively employing available quality and outcome information. They were, rather, referred by their general practitioner. Hospital choice is highly related to the importance a patient attaches to his or her physician's opinion about a hospital. Some patients indicated that their hospital choice was affected by the reputation of the hospital, by the distance they lived from the hospital, etc. but physician's advice was, by far, the most important factor. Policy consequences are important; the assumptions underlying the demand-driven model of patient health provider choice are inadequate to explain the pattern of observed responses. An alternative, more adequate model is required, one that takes into account the patient's confidence in physician referral and advice.

Voltage Controlled Dynamic Demand Response

DEFF Research Database (Denmark)

Bhattarai, Bishnu Prasad; Bak-Jensen, Birgitte; Mahat, Pukar

2013-01-01

Future power system is expected to be characterized by increased penetration of intermittent sources. Random and rapid fluctuations in demands together with intermittency in generation impose new challenges for power balancing in the existing system. Conventional techniques of balancing by large...... central or dispersed generations might not be sufficient for future scenario. One of the effective methods to cope with this scenario is to enable demand response. This paper proposes a dynamic voltage regulation based demand response technique to be applied in low voltage (LV) distribution feeders....... An adaptive dynamic model has been developed to determine composite voltage dependency of an aggregated load on feeder level. Following the demand dispatch or control signal, optimum voltage setting at the LV substation is determined based on the voltage dependency of the load. Furthermore, a new technique...

Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids.

Science.gov (United States)

Ali, S M; Mehmood, C A; Khan, B; Jawad, M; Farid, U; Jadoon, J K; Ali, M; Tareen, N K; Usman, S; Majid, M; Anwar, S M

2016-01-01

In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic stochastic demand models. The sudden drifts in weather parameters effects the living standards of the consumers that in turn influence the power demands. Considering above, we analyzed stochastically and statistically the effect of random consumer demands on the fixed and variable revenues of the electrical utilities. Our work presented the Multi-Variate Gaussian Distribution Function (MVGDF) probabilistic model of the utility revenues with time-dependent consumer random demands. Moreover, the Gaussian probabilities outcome of the utility revenues is based on the varying consumer n demands data-pattern. Furthermore, Standard Monte Carlo (SMC) simulations are performed that validated the factor of accuracy in the aforesaid probabilistic demand-revenue model. We critically analyzed the effect of weather data parameters on consumer demands using correlation and multi-linear regression schemes. The statistical analysis of consumer demands provided a relationship between dependent (demand) and independent variables (weather data) for utility load management, generation control, and network expansion.

Demand-Side Flexibility for Energy Transitions: Policy Recommendations for Developing Demand Response

OpenAIRE

Nursimulu, Anjali; Florin, Marie-Valentine; Vuille, François

2016-01-01

As a follow-up to IRGC's report on demand-side flexibility for energy transitions, this Policy Brief highlights that increasing flexibility in power systems is needed to accommodate higher shares of non-controllable and intermittent renewable generation, and that this requires changes to the market design and regulatory framework, to facilitate the development and deployment of appropriate technologies and market-based instruments (e.g. taxes and subsidies). The Policy Brief focuses on demand...

7 CFR 3560.709 - Demand letter.

Science.gov (United States)

2010-01-01

... 7 Agriculture 15 2010-01-01 2010-01-01 false Demand letter. 3560.709 Section 3560.709 Agriculture... DIRECT MULTI-FAMILY HOUSING LOANS AND GRANTS Unauthorized Assistance § 3560.709 Demand letter. (a) If a... repayment schedule, the Agency will send the borrower a demand letter specifying: (1) The amount of...

Demand sensing in e-business

Indian Academy of Sciences (India)

R. Narasimhan (Krishtel eMaging) 1461 1996 Oct 15 13:05:22

Accurate assessment of demand and market shares is critical for many businesses and public ... allowing them to reap much higher benefits from demand sensing. .... entiation in service policies that offers a cost-effective compromise between ...

Complexity Dynamic Character Analysis of Retailers Based on the Share of Stochastic Demand and Service

Directory of Open Access Journals (Sweden)

Junhai Ma

2017-01-01

Full Text Available Apart from the price fluctuation, the retailers’ service level becomes another key factor that affects the market demand. This paper depicts a modified price and demand game model based on the stochastic demand and the retailer’s service level which influences the market demand decided by customers’ preference, while the market demand is stochastic in this model. We explore how the price adjustment speed affects the stability of the supply chain system with respect to service level and stochastic demand. The dynamic behavior of the system is researched by simulation and the stability domain and the bifurcation phenomenon are shown clearly. The largest Lyapunov exponent and the chaotic attractor are also given to confirm the chaotic characteristic of the system. The simulation results indicate that relatively small price adjustment speed may maintain the system at stable state. With the price adjustment speed gradually increasing, the price system gets unstable and finally becomes chaotic. This chaotic phenomenon will perturb the product market and this phenomenon should be controlled to keep the system stay in the stable region. So the chaos control is done and the chaos can be controlled completely. The conclusion makes significant contribution to the system referring to the price fluctuation based on the service level and stochastic demand.

A comparative study on prediction methods for China's medium- and long-term coal demand

International Nuclear Information System (INIS)

Li, Bing-Bing; Liang, Qiao-Mei; Wang, Jin-Cheng

2015-01-01

Given the dominant position of coal in China's energy structure and in order to ensure a safe and stable energy supply, it is essential to perform a scientific and effective prediction of China's medium- and long-term coal demand. Based on the historical data of coal consumption and related factors such as GDP (Gross domestic product), coal price, industrial structure, total population, energy structure, energy efficiency, coal production and urbanization rate from 1987 to 2012, this study compared the prediction effects of five types of models. These models include the VAR (vector autoregressive model), RBF (radial basis function) neural network model, GA-DEM (genetic algorithm demand estimation model), PSO-DEM (particle swarm optimization demand estimation model) and IO (input–output model). By comparing the results of different models with the corresponding actual coal consumption, it is concluded that with a testing period from 2006 to 2012, the PSO-DEM model has a relatively optimal predicted effect on China's total coal demand, where the MAPE (mean absolute percentage error) is close to or below 2%. - Highlights: • The prediction effects of five methods for China's coal demand were compared. • Each model has acceptable prediction results, with MAPE below 5%. • Particle swarm optimization demand estimation model has better forecast efficacy.

15 CFR 990.62 - Presenting a demand.

Science.gov (United States)

2010-01-01

... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Presenting a demand. 990.62 Section... NATURAL RESOURCE DAMAGE ASSESSMENTS Restoration Implementation Phase § 990.62 Presenting a demand. (a... demand to the responsible parties. Delivery of the demand should be made in a manner that establishes the...

Resource Demand Scenarios for the Major Metals.

Science.gov (United States)

Elshkaki, Ayman; Graedel, T E; Ciacci, Luca; Reck, Barbara K

2018-03-06

The growth in metal use in the past few decades raises concern that supplies may be insufficient to meet demands in the future. From the perspective of historical and current use data for seven major metals-iron, manganese, aluminum, copper, nickel, zinc, and lead-we have generated several scenarios of potential metal demand from 2010 to 2050 under alternative patterns of global development. We have also compared those demands with various assessments of potential supply to midcentury. Five conclusions emerge: (1) The calculated demand for each of the seven metals doubles or triples relative to 2010 levels by midcentury; (2) The largest demand increases relate to a scenario in which increasingly equitable values and institutions prevail throughout the world; (3) The metal recycling flows in the scenarios meet only a modest fraction of future metals demand for the next few decades; (4) In the case of copper, zinc, and perhaps lead, supply may be unlikely to meet demand by about midcentury under the current use patterns of the respective metals; (5) Increased rates of demand for metals imply substantial new energy provisioning, leading to increases in overall global energy demand of 21-37%. These results imply that extensive technological transformations and governmental initiatives could be needed over the next several decades in order that regional and global development and associated metal demand are not to be constrained by limited metal supply.

Electricity demand in Tunisia

International Nuclear Information System (INIS)

Gam, Imen; Ben Rejeb, Jaleleddine

2012-01-01

This paper examines the global electricity demand in Tunisia as a function of gross domestic product in constant price, the degree of urbanization, the average annual temperature, and the real electricity price per Kwh. This demand will be examined employing annual data over a period spanning almost thirty one years from 1976 to 2006. A long run relationship between the variables under consideration is determined using the Vector Autoregressive Regression. The empirical results suggest that the electricity demand in Tunisia is sensitive to its past value, any changes in gross domestic product and electricity price. The electricity price effects have a negative impact on long-run electricity consumption. However, the gross domestic product and the past value of electricity consumption have a positive effect. Moreover, the causality test reveals a unidirectional relationship between price and electricity consumption. Our empirical findings are effective to policy makers to maintain the electricity consumption in Tunisia by using the appropriate strategy. - Highlights: ► This paper examined the electricity demand in Tunisia in the long-run. ► The empirical analysis revealed that in the long-run the electricity demand is affected by changes in its past value, GDP in constant price and real electricity price. ► There is a unidirectional relationship between price and electricity consumption, that is to say, that the electricity price causes the consumption. ► Those results suggest that a pricing policy can be an effective instrument to rationalize the electricity consumption in Tunisia in the long-run.

Accumulative job demands and support for strength use: Fine-tuning the job demands-resources model using conservation of resources theory.

Science.gov (United States)

van Woerkom, Marianne; Bakker, Arnold B; Nishii, Lisa H

2016-01-01

Absenteeism associated with accumulated job demands is a ubiquitous problem. We build on prior research on the benefits of counteracting job demands with resources by focusing on a still untapped resource for buffering job demands-that of strengths use. We test the idea that employees who are actively encouraged to utilize their personal strengths on the job are better positioned to cope with job demands. Based on conservation of resources (COR) theory, we hypothesized that job demands can accumulate and together have an exacerbating effect on company registered absenteeism. In addition, using job demands-resources theory, we hypothesized that perceived organizational support for strengths use can buffer the impact of separate and combined job demands (workload and emotional demands) on absenteeism. Our sample consisted of 832 employees from 96 departments (response rate = 40.3%) of a Dutch mental health care organization. Results of multilevel analyses indicated that high levels of workload strengthen the positive relationship between emotional demands and absenteeism and that support for strength use interacted with workload and emotional job demands in the predicted way. Moreover, workload, emotional job demands, and strengths use interacted to predict absenteeism. Strengths use support reduced the level of absenteeism of employees who experienced both high workload and high emotional demands. We conclude that providing strengths use support to employees offers organizations a tool to reduce absenteeism, even when it is difficult to redesign job demands. (c) 2016 APA, all rights reserved).

Economic Rebalancing and Electricity Demand in China

Energy Technology Data Exchange (ETDEWEB)