Economic analysis of industrial projects is based on methods which are often simple, sometimes complex, yet always to be applied with rigor. The aim of this book is to help readers assimilate the concepts and methods for investment decision and project evaluation. It offers a wide range of exercises, problems and case studies taken from business, which are the fruit of many years of teaching, consulting and research. Some are direct application of basics, others require a higher degree of reflection for more complex applications. Our approach borrows elements from micro economics, engineering economics and finance theory. While many examples relate to the energy sector, particularly oil and gas, the problems addressed are of broader scope and so are fully applicable to other industry sectors. This book is ideally suited to both professionals and students who seek to master capital budgeting techniques. A review of essential points is proposed at the beginning of each chapter and key methodological elements are recalled in the solutions. (authors)
Tolerability is an essential part of drug therapy and can affect health and economic outcomes. Withdrawal due to adverse reactions of medicines or lack of effectiveness is a major concern in long-term treatments that influences cost-effectiveness analysis. In case of possibility of stopping and switch to other interventions in decision analysis model, overhead costing may affect results and decision-making processes. Thus, modifying of classic decision analysis model seems to be necessary in ...
The emergence of behavioural economics has provided new insights into economic and business phenomena by integrating elements of economic theory and experimental psychology. So far, the behavioural economics research agenda has concentrated on the empirical validity of foundational assumptions, producing new descriptive accounts of behavioural patterns that are difficult to explain using traditional neoclassical assumptions. This agenda has now developed sufficiently to begin exploring how to...
Michael F Goodchild; Luc Anselin; Linna Li; Wenwen Li
Urban economic modeling and effective spatial planning are critical tools towards achieving urban sustainability. However, in practice, many technical obstacles, such as information islands, poor documentation of data and lack of software platforms to facilitate virtual collaboration, are challenging the effectiveness of decision-making processes. In this paper, we report on our efforts to design and develop a geospatial cyberinfrastructure (GCI) for urban economic analysis and simulation. Th...
Proposed Title: Using System Dynamics Analysis for Evaluating Neighborhood Economic Outcomes from Transportation and Land Use Decisions Topic (must choose one item from a drop-down list): Community Indicators Learning Objectives (must list 2): What are the benefits and l...
Full Text Available Tolerability is an essential part of drug therapy and can affect health and economic outcomes. Withdrawal due to adverse reactions of medicines or lack of effectiveness is a major concern in long-term treatments that influences cost-effectiveness analysis. In case of possibility of stopping and switch to other interventions in decision analysis model, overhead costing may affect results and decision-making processes. Thus, modifying of classic decision analysis model seems to be necessary in such cases. My hypothesis is that by the use of a new decision model that can make links between different Markov-like models accurate cost calculation could be achieved. The appearance of model is going to be like a semicycle net. Considering the probability of switching from one treatment strategy to another, one could give more precise economic evaluation results. In the first step, this model needs to be tested and compared with the conventional model. In the second step, the impact of these differences has to be examined in the practical field of health, drug policy and supply management. By applying this new decision model in total health budget, threshold and its consequences on national health accounts and share of health in gross domestic product should be tested.
Veselka, T. D.; Poch, L. A.; Palmer, C. S.; Loftin, S.; Osiek, B; Decision and Information Sciences; Western Area Power Administration
On October 9, 1996, Bruce Babbitt, then-Secretary of the U.S. Department of the Interior signed the Record of Decision (ROD) on operating criteria for the Glen Canyon Dam (GCD). Criteria selected were based on the Modified Low Fluctuating Flow (MLFF) Alternative as described in the Operation of Glen Canyon Dam, Colorado River Storage Project, Arizona, Final Environmental Impact Statement (EIS) (Reclamation 1995). These restrictions reduced the operating flexibility of the hydroelectric power plant and therefore its economic value. The EIS provided impact information to support the ROD, including an analysis of operating criteria alternatives on power system economics. This ex post study reevaluates ROD power economic impacts and compares these results to the economic analysis performed prior (ex ante) to the ROD for the MLFF Alternative. On the basis of the methodology used in the ex ante analysis, anticipated annual economic impacts of the ROD were estimated to range from approximately $15.1 million to $44.2 million in terms of 1991 dollars ($1991). This ex post analysis incorporates historical events that took place between 1997 and 2005, including the evolution of power markets in the Western Electricity Coordinating Council as reflected in market prices for capacity and energy. Prompted by ROD operational restrictions, this analysis also incorporates a decision made by the Western Area Power Administration to modify commitments that it made to its customers. Simulated operations of GCD were based on the premise that hourly production patterns would maximize the economic value of the hydropower resource. On the basis of this assumption, it was estimated that economic impacts were on average $26.3 million in $1991, or $39 million in $2009.
This thesis was conducted with the main objectives (i) to calculate costs of mastitis and cost-efficiency of mastitis management measures and (ii) to acquire insights in the economic decision behaviour of dairy farmers with respect to mastitis management. Animal health economics is a decision supporting science, based on a decision making function of evaluating and choosing between alternative strategies on animal diseases. The potential economic importance of diseases such as mastitis is not...
Postmus, Douwe; Tervonen, Tommi; van Valkenhoef, Gert; Hillege, Hans L; Buskens, Erik
A standard practice in health economic evaluation is to monetize health effects by assuming a certain societal willingness-to-pay per unit of health gain. Although the resulting net monetary benefit (NMB) is easy to compute, the use of a single willingness-to-pay threshold assumes expressibility of the health effects on a single non-monetary scale. To relax this assumption, this article proves that the NMB framework is a special case of the more general stochastic multi-criteria acceptability analysis (SMAA) method. Specifically, as SMAA does not restrict the number of criteria to two and also does not require the marginal rates of substitution to be constant, there are problem instances for which the use of this more general method may result in a better understanding of the trade-offs underlying the reimbursement decision-making problem. This is illustrated by applying both methods in a case study related to infertility treatment. PMID:23843123
Carl B.McGowan, Jr.
Full Text Available The Foreign Investment Risk Matrix (FIRM developed by Bhalla (1983 uses political and economic risk measures for foreign direct investment decision making. FIRM may be used to develop a matrix that categorizes countries based on political risk and economic risk as acceptable, unacceptable, or uncertain for investment.We demonstrate using political and economic risk variables that are available on the internet in an expanded model using three measures of political risk and three measures of economic risk. After determining the group of countries that would be acceptable for FDI, the multinational companies can focus on further analysis of acceptable countries.
Al-Alawi, Baha Mohammed
Plug-in hybrid electric vehicles (PHEVs) are an emerging automotive technology that has the capability to reduce transportation environmental impacts, but at an increased production cost. PHEVs can draw and store energy from an electric grid and consequently show reductions in petroleum consumption, air emissions, ownership costs, and regulation compliance costs, and various other externalities. Decision makers in the policy, consumer, and industry spheres would like to understand the impact of HEV and PHEV technologies on the U.S. vehicle fleets, but to date, only the disciplinary characteristics of PHEVs been considered. The multidisciplinary tradeoffs between vehicle energy sources, policy requirements, market conditions, consumer preferences and technology improvements are not well understood. For example, the results of recent studies have posited the importance of PHEVs to the future US vehicle fleet. No studies have considered the value of PHEVs to automakers and policy makers as a tool for achieving US corporate average fuel economy (CAFE) standards which are planned to double by 2030. Previous studies have demonstrated the cost and benefit of PHEVs but there is no study that comprehensively accounts for the cost and benefits of PHEV to consumers. The diffusion rate of hybrid electric vehicle (HEV) and PHEV technology into the marketplace has been estimated by existing studies using various tools and scenarios, but results show wide variations between studies. There is no comprehensive modeling study that combines policy, consumers, society and automakers in the U.S. new vehicle sales cost and benefits analysis. The aim of this research is to build a potential framework that can simulate and optimize the benefits of PHEVs for a multiplicity of stakeholders. This dissertation describes the results of modeling that integrates the effects of PHEV market penetration on policy, consumer and economic spheres. A model of fleet fuel economy and CAFE compliance for a large US automaker will be developed. A comprehensive total cost of ownership model will be constructed to calculate and compare the cost and benefits of PHEVs, conventional vehicles (CVs) and HEVs. Then a comprehensive literature review of PHEVs penetration rate studies will be developed to review and analyze the primary purposes, methods, and results of studies of PHEV market penetration. Finally a multi-criteria modeling system will incorporate results of the support model results. In this project, the models, analysis and results will provide a broader understanding of the benefits and costs of PHEV technology and the parties to whom those benefits accrue. The findings will provide important information for consumers, automakers and policy makers to understand and define HEVs and PHEVs costs, benefits, expected penetration rate and the preferred vehicle design and technology scenario to meet the requirements of policy, society, industry and consumers.
Speck, D E
The Multiscale Epidemiologic/Economic Simulation and Analysis (MESA) Decision Support System (DSS) is the product of investments that began in FY05 by the Department of Homeland Security (DHS) Science and Technology Directorate and continue today with joint funding by both DHS and the US Department of Agriculture (USDA). The DSS consists of a coupled epidemiologic/economic model, a standalone graphical user interface (GUI) that supports both model setup and post-analysis, and a Scenario Bank archive to store all content related to foreign animal disease (FAD) studies. The MESA epi model is an object-oriented, agent-based, stochastic, spatio-temporal simulator that parametrically models FAD outbreaks and response strategies from initial disease introduction to conclusion over local, regional, and national scales. Through its output database, the epi model couples to an economic model that calculates farm-level impacts from animal infections, responsive control strategies and loss of trade. The MESA architecture contains a variety of internal models that implement the major components of the epi simulation, including disease introduction, intra-herd spread, inter-herd spread (direct and indirect), detection, and various control strategies (movement restrictions, culling, vaccination) in a highly configurable and extensible fashion. MESA development was originally focused to support investigations into the economic and agricultural industry impacts associated with Foot-and-Mouth Disease (FMD outbreaks). However, it has been adapted to other FADs such has Highly Pathogenic Avian Influenza (HPAI), Classical Swine Fever (CSF) and Exotic Newcastle Disease (END). The MESA model is highly parameterized and employs an extensible architecture that permits straightforward addition of new component models (e.g., alternative disease spread approaches) when necessary. Since its inception, MESA has been developed with a requirement to enable simulation of the very large scale, nationwide disease outbreaks that are of special interest to DHS. MESA has been developed at Lawrence Livermore National Laboratory (LLNL) and has benefited from the world-class experience in supercomputing application development held by LLNL staff as well as the best-in-class high performance computing infrastructure in place at LLNL. MESA incorporates novel architectural features that permit it to make efficient use of available compute cycles by dynamically increasing the fidelity of the simulation in spatial (geopolitical) regions where relevant activity is occurring and keeping other regions aggregated into a computationally simpler representation. In addition to the MESA epi and economic models, the MESA DSS incorporates other key components. Integral to the parametric approach MESA employs to setup and define disease outbreak scenarios is a GUI that enables the MESA user to efficiently manage the thousands of parameters required by the simulator. The GUI provides individual parameter editors for groups of variables that support a common high level function, such as disease introduction, spread, control strategies, etc. It also provides a capability to browse through multiple study projects and develop n-additional outbreak scenarios per project through successive refinement of existing scenarios. Finally, the MESA GUI links post-processing applications that permit extraction of key data from MESA raw output, generation of spreadsheets, and geospatial mapping of simulation results. The MESA GUI is a standalone application that normally runs on the user's desktop, although its Java source code is portable and can execute under virtually any modern operating system. The final major component of the MESA DSS is the Scenario Bank, which is a web-served archive of unclassified FAD study content. The Scenario Bank implements a hierarchy of spaces, structured primarily along organizational lines (e.g., 'USDA', 'LLNL', etc), that permits participants to store simulator inputs, outputs, analysis results, reports, etc. and explicitly control who among Bank users may access them. Documents can be shared within organizations or across organizations at the owner's discretion. The Scenario Bank is intended to be the system of record for USDA and DHS sponsored FAD study efforts and as such will archive content from a variety of models employed by USDA and DHS-sponsored researchers and analysts.
This paper presents a methodology for the economic and financial analysis of nuclear plant life extension under uncertainty and demonstrates its use in a case analysis. While the economic and financial evaluation of life extension does not require new analytical tools, such studies should be based on the following three premises. First, the methodology should examine effects at the level of the company or utility system, because the most important economic implications of life extension relate to the altered generation system expansion plan. Second, it should focus on the implications of uncertainty in order to understand the factors that most affect life extension benefits and identify risk management efforts. Third, the methodology should address multiple objectives, at a minimum, both economic and financial objectives. An analysis of the role of life extension for Virginia Power's generating system was performed using the MIDAS model, developed by the Electric Power Research Institute. MIDAS is particularly well suited to this type of study because of its decision analysis framework. The model incorporates modules for load analysis, capacity expansion, production costing, financial analysis, and rates. The decision tree structure facilitates the multiple-scenario analysis of uncertainty. The model's output includes many economic and financial measures, including capital expenditures, fuel and purchases power costs, revenue requirements, average rates, external financing requirements, and coverage ratio. Based on findings for Virginia Power's Surry 1 plant, nuclear plant life extension has economic benefits for a utility's customers and financial benefits for the utility's investors. These benefits depend on a number of economic, technical and regulatory factors. The economic analysis presented in this paper identifies many of the key factors and issues relevant to life extension planning
Full Text Available Abstract Background Traffic congestion is rapidly becoming the most important obstacle to urban development. In addition, traffic creates major health, environmental, and economical problems. Nonetheless, automobiles are crucial for the functions of the modern society. Most proposals for sustainable traffic solutions face major political opposition, economical consequences, or technical problems. Methods We performed a decision analysis in a poorly studied area, trip aggregation, and studied decisions from the perspective of two different stakeholders, the passenger and society. We modelled the impact and potential of composite traffic, a hypothetical large-scale demand-responsive public transport system for the Helsinki metropolitan area, where a centralised system would collect the information on all trip demands online, would merge the trips with the same origin and destination into public vehicles with eight or four seats, and then would transmit the trip instructions to the passengers' mobile phones. Results We show here that in an urban area with one million inhabitants, trip aggregation could reduce the health, environmental, and other detrimental impacts of car traffic typically by 5070%, and if implemented could attract about half of the car passengers, and within a broad operational range would require no public subsidies. Conclusion Composite traffic provides new degrees of freedom in urban decision-making in identifying novel solutions to the problems of urban traffic.
Electricity demand in Thailand from now up to the year 2011 will rise more than 87%. EGAT predicts that total demand will increase from about 16,126 MWe now to about 22,282 MWe in year 2006. Thailand has a diversified energy resource base, consisting of natural gas, oil, lignite, and hydropower. This paper will present the methodology to select power plant, from coal-fired, oil-fired, combined cycle, and nuclear power plants. By using economic analysis for cost benefit analysis (CBA) of the power generation cost of power plant with consideration of the net present worth (NPW) and interest rate return (IRR), it shows that nuclear power plant will offer the lowest IRR, and the highest IRR is combined cycle power plant. While the NPW for the best worthwhile projects and suitable investment is imported coal-fired power plant and the runner-up is nuclear power plant at 4-6 years construction period. (author)
According to National Economic and Social Development's forecast, electricity demand in Thailand from now up to the year 2011 will rise more than 147 %. So, the Eighth-Ninth National Economic and Social Development Plans (NESDP) (1997-2006) has launched the main energy resources, imported oil, coal, imported coal, natural gas and hydro. From the Tenth NESDP up (2007-) may launch the energy option more, such as liquid natural gas and nuclear. Although Thailand has reserved lignite and natural gas enough for more than two centuries, we have found that the energy resources are inadequate and expected to be imported for over 60%. So nuclear energy is necessary and suitable for alternative source of energy. The main factors used for power generating cost calculation of nuclear power plant are capital investment cost, nuclear fuel cycle cost, operation and maintenance cost, and infrastructure cost. Consequently, the parameter which indicating the performance of power plant and power generation cost are load factor, net power rating, and economic life. Another variable group are interest rate, escalation rate, and discount rate. The overhead and operation cost are always changed due to the economic or other variants of interest rate, and out of schedule operation or the changing of fuel cost. In order to compare each type of power plant, we had to use present worth value analytical technique to calculate the the levelized energy cost (mills/kWh) by giving present worth value of average power generation cost equal to present worth value of total cost of the project and operation of power plant. The economic parameter will affect exchange rate and discount rate calculation. To assess the economic analysis of cost and cost benefit of Electricity Generating Authority of Thailand (EGAT) project, real interest rate for discount rate (social discount rate) will be calculated. By the year 1992-1998, the social discount rate of Thailand is estimated at about 7.59%. For studying power generating cost of power plants in this paper, we will use social discount rate at about 12 % and discount rate at about 5, 7, 9, 10 and 12%. For local currency (LC) and foreign currency (FC) is about 14.60 and 7.53% respectively. The calculation of capital investment cost of nuclear power plant in Thailand will use 1,139 MWe PWR for reference plant. Then we breakdown cost by using size adjustment to 1,000 MWe, material/equipment and labor ratio adjustment, time adjustment, and local adjustment which are suitable for situation in Thailand. To compare the capital investment cost and power generation cost, we calculate by using lifetime levelised cost, with thermal power plant such as coal-fired (1,000 MWe), oil-fired (1,000 MWe), and natural gas (600 MWe). From the comparison of power generation cost per kWh by using discount rate of 12%, we found that the power generation cost from nuclear fuel is higher than fossil fuel at about 1.27-1.37 times. The higher or lower discount rate will affect the comparison results. For the sensitivity analysis in comparing the power plant of Thailand case study, we calculate by using discount rate of 5, 7, 10, and 15%, in 4-9 years construction period and for 25-30 years plant life. At a discount rate of 5% it shows that the power generation cost of nuclear power plant is cheaper than other thermal power plants and the power generation cost is about 28.13-29.68 mills/kWh. The power generation cost of nuclear power plant will be about 31.29-32.03 mills/kWh for the 7% discount rate and for 4-6 years construction period. We have found that it is cheaper than oil-fired and combined cycle power plants. The other factors affect capital investment and power generation cost are escalation of materials/equipment and labour, local exchange rate, local inflation rate, and the selection of account system for estimation which is different from other countries. Types of nuclear power plant and vendor will also affect capital investment. By using economic analysis for cost benefit analysis (CBA) of power generation cost of nuclear power p
The ALARA procedure covers a wide range of decisions from the simplest to the most complex one. For the simplest one the engineering judgement is generally enough and the use of a decision aiding technique is therefore not necessary. For some decisions the comparison of the available protection option may be performed from two or a few criteria (or attributes) (protection cost, collective dose,...) and the use of rather simple decision aiding techniques, like the Cost Effectiveness Analysis or the Cost Benefit Analysis, is quite enough. For the more complex decisions, involving numerous criteria or for decisions involving large uncertainties or qualitative judgement the use of these techniques, even the extended cost benefit analysis, is not recommended and appropriate techniques like multi-attribute decision aiding techniques are more relevant. There is a lot of such particular techniques and it is not possible to present all of them. Therefore only two broad categories of multi-attribute decision aiding techniques will be presented here: decision analysis and the outranking analysis
The Energy Policy and Conservation Act (EPCA) mandated that minimum energy efficiency standards be established for classes of refrigerators and refrigerator-freezers, freezers, clothes dryers, water heaters, room air conditioners, home heating equipment, kitchen ranges and ovens, central air conditioners, and furnaces. EPCA requires that standards be designed to achieve the maximum improvement in energy efficiency that is technologically feasible and economically justified. Following the introductory chapter, Chapter Two describes the methodology used in the economic analysis and its relationship to legislative criteria for consumer product efficiency assessment; details how the CPES Value Model systematically compared and evaluated the economic impacts of regulation on the consumer, manufacturer and Nation. Chapter Three briefly displays the results of the analysis and lists the proposed performance standards by product class. Chapter Four describes the reasons for developing a baseline forecast, characterizes the baseline scenario from which regulatory impacts were calculated and summarizes the primary models, data sources and assumptions used in the baseline formulations. Chapter Five summarizes the methodology used to calculate regulatory impacts; describes the impacts of energy performance standards relative to the baseline discussed in Chapter Four. Also discussed are regional standards and other program alternatives to performance standards. Chapter Six describes the procedure for balancing consumer, manufacturer, and national impacts to select standard levels. Details of models and data bases used in the analysis are included in Appendices A through K.
Carl B. McGowan, Jr.; Susan E. Moeller
The Foreign Investment Risk Matrix (FIRM) developed by Bhalla (1983) uses political and economic risk measures for foreign direct investment decision making. FIRM may be used to develop a matrix that categorizes countries based on political risk and economic risk as acceptable, unacceptable, or uncertain for investment.We demonstrate using political and economic risk variables that are available on the internet in an expanded model using three measures of political risk and three measur...
Ettema, Jehan Frans; Kudahl, Anne Braad; SÃ¸rensen, Jan Tind
Animal health economics deals with quantifying the economic effects of animal disease, decision support tools in animal health management and further analysis of the management's impact at animal, herd or national level. Scientists from The Netherlands, France and Sweden have since 1988 organised...... informal workshops to exchange their knowledge and expertise in this field of science. This report contains the summary of the presentations given by 12 PhD students and 2 senior scientists of the Animal Health Economics workshops which was held on the 9th and 10th of November, 2006 at the Research Centre...... Foulum in Denmark. Different disciplines and approaches within Animal Health Economics are dealt with by the different scientists and the report contains a variety of novel results and projects. The resulting discussion is summarized in the report....
R. I. Solopenko
The necessity of economic ground of administrative decisions related to the operation, staff, financial, investment, information & telecommunication, innovative, marketing and international economic activities of an aviation enterprise is determined foe such an enterprise, and the procedure of economic substantiation of administrative decisions with use of economico-mathematical modelling in automated control system (ACS) for an aviation enterprise is implemented.
R. I. Solopenko
Full Text Available The necessity of economic ground of administrative decisions related to the operation, staff, financial, investment, information & telecommunication, innovative, marketing and international economic activities of an aviation enterprise is determined foe such an enterprise, and the procedure of economic substantiation of administrative decisions with use of economico-mathematical modelling in automated control system (ACS for an aviation enterprise is implemented.
Lemming, Gitte; Friis-Hansen, P.; Bjerg, Poul Løgstrup
Remediation methods for contaminated sites cover a wide range of technical solutions with different remedial efficiencies and costs. Additionally, they may vary in their secondary impacts on the environment i.e. the potential impacts generated due to emissions and resource use caused by the remediation activities. More attention is increasingly being given to these secondary environmental impacts when evaluating remediation options. This paper presents a methodology for an integrated economic de...
Maroy, E.; Rousseau, A. N.; Hallema, D. W.
With recent efforts and increasing control over point source pollution of freshwater, agricultural non-point pollution sources have become responsible for most of sediment and nutrient loads in North American water systems. Environmental and agricultural agencies have recognised the need for reducing eutrophication and have developed various policies to compel or encourage producers to best management practices (BMPs). Addressing diffuse pollution is challenging considering the complex and cumulative nature of transport processes, high variability in space and time, and prohibitive costs of distributed water quality monitoring. Many policy options exist to push producers to adopt environmentally desirable behaviour while keeping their activity viable, and ensure equitable costs to consumers and tax payers. On the one hand, economic instruments (subsidies, taxes, water quality markets) are designed to maximize cost-effectiveness, so that farmers optimize their production for maximum profit while implementing BMPs. On the other hand, emission standards or regulation of inputs are often easier and less costly to implement. To study economic and environmental impacts of such policies, a distributed modelling approach is needed to deal with the complexity of the system and the large environmental and socio-economic data requirements. Our objective is to integrate agro-hydrological modelling and economic analysis to support decision and policy making processes of BMP implementation. The integrated modelling system GIBSI was developed in an earlier study within the Canadian WEBs project (Watershed Evaluation of BMPs) to evaluate the influence of BMPs on water quality. The case study involved 30 and 15 year records of discharge and water quality measurements respectively, in the Beaurivage River watershed (Quebec, Canada). GIBSI provided a risk-based overview of the impact of BMPs (including vegetated riparian buffer strips, precision slurry application, conversion to grassland and no-till) in terms of sediment, nutrient and pesticide yields and loads. Input data included characteristics of reservoirs, land cover, soil, agricultural management, livestock management and point sources of pollution. The present study continues from there by first assessing the cost-effectiveness of different sets of BMPs, based on farm budgets and environmental criteria selected by the user. We subsequently examine monetary trade-offs between on-farm costs and social value of water quality improvements using cost-benefit ratios. Because water quality is a non-excludable and non-rivalrous good, its benefits to society are evaluated with non-market evaluation techniques mostly based on quality-constrained recreational use of water. From a policy perspective, cost-effectiveness analysis is very helpful in assisting the decision maker in the highly complex process of defining priorities with respect to BMP strategies. With a user-friendly interface for economic analysis integrated into GIBSI, watershed organizations and stakeholders can use such a tool to promote sustainable agricultural practices and water use. This submission is part of Watershed Evaluation of BMPs project (WEBs) funded by Agriculture and Agri-Food Canada and Ducks Unlimited Canada
Full Text Available Economic activity of a country are conducted by industry, under branches and production sectors, each with special characteristics and conditions of work, which, of course, put their imprint on the organization manner of the production process By an analysis of the concept of economic efficiency of investment is found that this is an amount of qualitative factors, which gives the latter a complex character, aimed to improving activity in the area where are taking place to the putting into service of such investment, which can be modernization, bringing new equipments, reconstruction and development. Study the economic efficiency of investment involves, as a base, an analysis of causal factors that determine the decision in the afferent medium of risk. Corresponding to peculiarities of the production process, it requires a proper methodology of assessment the economic efficiency of investment, with specification to maintain the general principles for calculating the economic efficiency indicators and specific indicators come only to complete the picture of indicators of general, basic and supplementary already calculated in order to provide additional clues, afferent to branch, under-branch or sector of activity.
The methodology used to arrive at the conclusions in the U.S. papers WG 5A-19 and WG 5A-22 with respect to the economics of fast breeders relative to LWR's is developed in detail in this contribution. In addition, sample calculations of the total levelized power cost of a standard LWR at $40/pound for U3O8 and an FBR at a capital cost of 1.5 times that of an LWR are included. The respective total levalized power costs of the above two examples are 21.29 mills/kwh for the standard LWR and 28.48 mills/kwh for the FBR. It should be noted that the economic data used in these analyses are contained in the U.S. contribution, WG 5A-41
Establishing the decision context for a management problem is the critical first step for effective decision analysis. Understanding the decision context allow stakeholders and decision-makers to integrate the societal, environmental, and economic considerations that must be con...
Full Text Available Abstract Background The collaborative treatment of acupuncture in addition to routine care as an approach for the management of low back pain (LBP is receiving increasing recognition from both public and professional arenas. In 2010, the Ministry of Health, Welfare and Family Affairs (MOHW of South Korea approved the practice of doctors and Oriental medical doctors (acupuncture qualified working together in the same facility and offering collaborative treatment at the same time for the same disease. However, there is little more than anecdotal evidence on the health and economic implications of this current practice. Therefore, the objective of this study is to examine the effectiveness and costs of acupuncture in addition to routine care in the treatment of chronic LBP patients in South Korea. Methods The Markov model was developed to synthesise evidence on both costs and outcomes for patients with chronic LBP. We conducted the base case analysis, univariate and probabilistic sensitivity analyses, and also performed the value of information analysis for future researches. Model parameters were sourced from systematic review of both alternatives, simple bibliographic reviews of relevant articles published in English or Korean, and statistical analyses of the 2005 and 2007 Korean National Health and Nutrition Survey (KNHNS data. The analyses were based on the societal perspective over a five year time horizon using a 5% discount rate. Results In the base case, collaborative treatment resulted in better outcomes, but at a relatively high cost. Overall, the incremental cost-effectiveness ratio of a collaborative practice was 3,421,394 KRW (Korean rate Won per QALY (Quality adjusted life year (2,895.80 USD per QALY. Univariate sensitivity analysis of indirect non-medical costs did not affect the preference order of the strategies. Probabilistic sensitivity analysis revealed that if the threshold was over 3,260,000 KRW per QALY (2,759.20 USD per QALY, the probability for cost-effectiveness of a collaborative practice would exceed 50%. At 20,000,000 KRW per QALY, which is recommended using per capita gross domestic product (GDP as the threshold, the probability would be 72.3%. Conclusions On the basis of our findings, acupuncture collaborative therapy for patients with chronic LBP may be cost-effective if the usual threshold is applied. Further empirical studies are required to overcome the limitations of uncertainties and improve the precision of the results.
Pitcher, P M; Galligan, D T
The economic feasibility of the use of rapid milk progesterone assays (RMPA) for early detection of pregnancy status in cows, to reduce the cost associated with reproductive inefficiency, was evaluated by use of decision analysis techniques. A decision tree was formulated and used to compare the RMPA to the alternative of palpation per rectum alone for the determination of pregnancy status. A computer spreadsheet was used to examine the effect of manipulating the values of inputs affecting the optimal decision (ie, cost of a day a cow is not pregnant, conception rate, cost of the RMPA, test sensitivity and specificity, cost of insemination) over the range of values likely to be encountered. The sensitivity of the optimal decision was greatest to the variables for cost of a day a cow is not pregnant, conception rate, and cost of the RMPA. When the cost of a day a cow is not pregnant is +2.00 and the cost of the RMPA is +6.00, the best decision is to use the RMPA when the herd conception rate is between 20 and 77%. When the herd conception rate is 60%, the best decision is to use the RMPA as long as the cost of a day a cow is not pregnant is greater than +1.44. Indifference curves were calculated, allowing both the cost of a day a cow is not pregnant and conception rate to vary, and used to select the most economical decision. Use of the RMPA for early detection of pregnancy status is likely to be economically advantageous in most dairy operations. PMID:2276951
van Bömmel, Alena; Song, Song; Majer, Piotr; Mohr, Peter N C; Heekeren, Hauke R; Härdle, Wolfgang K
Decision making usually involves uncertainty and risk. Understanding which parts of the human brain are activated during decisions under risk and which neural processes underly (risky) investment decisions are important goals in neuroeconomics. Here, we analyze functional magnetic resonance imaging (fMRI) data on 17 subjects who were exposed to an investment decision task from Mohr, Biele, Krugel, Li, and Heekeren (in NeuroImage 49, 2556-2563, 2010b). We obtain a time series of three-dimensional images of the blood-oxygen-level dependent (BOLD) fMRI signals. We apply a panel version of the dynamic semiparametric factor model (DSFM) presented in Park, Mammen, Wolfgang, and Borak (in Journal of the American Statistical Association 104(485), 284-298, 2009) and identify task-related activations in space and dynamics in time. With the panel DSFM (PDSFM) we can capture the dynamic behavior of the specific brain regions common for all subjects and represent the high-dimensional time-series data in easily interpretable low-dimensional dynamic factors without large loss of variability. Further, we classify the risk attitudes of all subjects based on the estimated low-dimensional time series. Our classification analysis successfully confirms the estimated risk attitudes derived directly from subjects' decision behavior. PMID:25205006
This viewgraph presentation reviews various methods of decision making and the impact that they have on space economics and systems engineering. Some of the methods discussed are: Present Value and Internal Rate of Return (IRR); Cost-Benefit Analysis; Real Options; Cost-Effectiveness Analysis; Cost-Utility Analysis; Multi-Attribute Utility Theory (MAUT); and Analytic Hierarchy Process (AHP).
In applying ALARA somebody has to determine what is reasonable. A decision has to be made. Decision Analysis is a procedure for structuring decision problems, and therefore it might be expected to be of use in the application of the ALARA principle. This paper explores the contribution that Decision Analysis may make in this context, particularly discussing the application of multi-attribute value theory. An example of using the theory on a problem of radioactive waste disposal is given, and the potential of an increased use of Decision Analysis in making the ALARA principle work, is discussed
The oil and gas industry engages in risky decision making. They invest money and other resources in projects whose outcomes are highly uncertain. They drill complex wells and build gas plants, refineries, platforms, and pipelines where costly problems could occur and associated revenues might be disappointing. They may lose their investment or they may make a handsome profit. Assessing the outcomes and assigning probabilities of occurrence and associated values are how they analyze and manage risk. A renewed interest in quantifying risk and formalizing complex decisions merits a review of the commercial software available. While this effort is not exhaustive, it serves as a starting point for the engineer or geoscientist whose interests point in this direction. Risk and decision analysis software is as diverse as the analysis methods themselves. Principally, there are programs that perform Monte Carlo simulation and make decision trees. Analytic models that do economics can be linked to both simulation and decision trees; optimization, sensitivity analysis, and influence diagrams are closely related. In addition, one encounters forecasting, expert systems, and fuzzy logic. Within geoscientists` purview are mapping packages and geostatistics software, both of which have the potential to offer strong support to uncertainty analysis. This article concentrates on software for decision trees, Monte Carlo simulation, sensitivity analysis, economics, portfolios, and statistical analysis.
Economists have been rather skeptical towards the use of subjective information. This thesis shows that this type of information can be relevant for the empirical explanation of economic decisions. Three examples of subjective information, which are time preference, income uncertainty, and risk aversion, are studied extensively in this thesis. The models used in the analyses of the subjective information are based on models developed by economic psychologists. These models are different from ...
McLawhorn, Alexander S; Carroll, Kaitlin M; Blevins, Jason L; DeNegre, Scott T; Mayman, David J; Jerabek, Seth A
Template-directed instrumentation (TDI) for total knee arthroplasty (TKA) may streamline operating room (OR) workflow and reduce costs by preselecting implants and minimizing instrument tray burden. A decision model simulated the economics of TDI. Sensitivity analyses determined thresholds for model variables to ensure TDI success. A clinical pilot was reviewed. The accuracy of preoperative templates was validated, and 20 consecutive primary TKAs were performed using TDI. The model determined that preoperative component size estimation should be accurate to ±1 implant size for 50% of TKAs to implement TDI. The pilot showed that preoperative template accuracy exceeded 97%. There were statistically significant improvements in OR turnover time and in-room time for TDI compared to an historical cohort of TKAs. TDI reduces costs and improves OR efficiency. PMID:26021908
Hager, M.J.; Anderson, G.A.
The economic and technical aspects are discussed for retubing a steam condenser at Brayton Point Unit 3, Somerset, MA, USA. An evaluation at the plant led to the conclusion that erosion/corrosion was the primary failure mode, and to the decision to retube with Alloy 722 - an 85/15 copper/nickel alloy during the 1985 annual overhaul.
Zandstra, Elizabeth H; Miyapuram, Krishna P.; Tobler, Philippe N.
Consumers make many decisions in everyday life involving finances, food, and health. It is known from behavioral economics research that people are often driven by short-term gratification, that is, people tend to choose the immediate, albeit smaller reward. But choosing the delayed reward, that is, delaying the gratification, can actually be beneficial. How can we motivate consumers to resist the "now" and invest in their future, leading to sustainable or healthy habits? We review recent dev...
Rabarison, Kristina M.; Bish, Connie L.; Massoudi, Mehran S.; Giles, Wayne H.
Contemporary public health professionals must address the health needs of a diverse population with constrained budgets and shrinking funds. Economic evaluation contributes to evidence-based decision making by helping the public health community identify, measure, and compare activities with the necessary impact, scalability, and sustainability to optimize population health. Asking âhow do investments in public health strategies influence or offset the need for downstream spending on medical ...
Full Text Available Evidence accumulation models, such as the Drift-Diffusion-Model (DDM or the Urgency-Gating-Model (UGM, have been successfully used to understand psychological mechanisms and neural correlates of human perceptual decision making. Its application to the domain of economic decision making, however, has attracted little attention so far. We investigated how people accumulate evidence over time using a multiple-cue interference task, in which successively disclosed cues (stock ratings predict the value of offers (stocks. Participants were asked to either buy or reject the offered stocks based on the provided information and were rewarded or punished for buying valuable or poor stocks, respectively. They also faced a speed-accuracy tradeoff as disclosure of each cue was coupled with costs. In accordance with predictions from DDM and UGM, we found that the amount of collected information required to reach a decision is a function of accumulated evidence. That is, people responded earlier if evidence for one option (buy/reject was more obvious. The tendency to react prematurely reflecting risk readiness correlated with self-reported novelty seeking (r = .65. Interestingly, model parameters suggested a distortion of probability weighing in our task consistent with predictions from prospect theory. These distortion parameters correlated with distortion parameters (r = .60 derived from a second task, in which participants had to explicitly estimate the probability of winning given that a certain number of cues was disclosed. Our results demonstrate the applicability of evidence accumulation models for investigating mechanisms that guide human economic decision making.
Hallerbach, W.G.P.M.; Spronk, J.
Most financial-economic decisions are made consciously, with a clear and constant drive to ???good???, ???better??? or even ???optimal??? decisions. Nevertheless, many decisions in practice do not earn these qualifications, despite the availability of financial economic theory, decision sciences and ample resources. We plea for the development of a multidimensional framework to support financial economic decision processes. Our aim is to achieve a better integration of available theory and de...
Mansley, E C; McKenna, M T
As the fifth, and final, report in this Lancet series on health economics, we discuss how economic analyses in public health, with cancer screening as the example, differ depending on the perspective taken. We identify nine different, but related, decision makers at various levels, from the individual patient to society as a whole, and discuss how their different viewpoints affect their ultimate decisions. Central to our discussion is the identification of seven distinct components of perspective, each potentially important in the screening decision. In many fields of healthcare, decisions about the use of resources, such as time, wealth, or energy, are made by weighing up the positive and negative consequences of the alternatives under consideration and are thus based on an economic analysis of the situation (although sometimes this process is subconscious). For simplicity, we restrict our report to the effect of perspective on cancer screening decisions and show how the costs (negative consequences) and benefits (positive consequences) vary depending on the decision maker. PMID:11597692
This paper presents a methodology for the economic and financial analysis of nuclear plant life extension under uncertainty and demonstrates its use in a case analysis. While the economic and financial evaluation of life extension does not require new analytical tools, such studies should be based on the following three premises. First, the methodology should examine effects at the level of the company or utility system, because the most important economic implications of life extension relate to the altered generation system expansion plan. Second, it should focus on the implications of uncertainty in order to understand the factors that most affect life extension benefits and identify risk management efforts. Third, the methodology should address multiple objectives, at a minimum, both economic and financial objectives
Christensen, Tove; Olsen, SØren BØye
Organic food production is a sphere where decision making is multi-facetted and complex. This applies to producers, political decision makers and consumers alike. This paper provides an overview of the economic methods that can aid such multi criteria decision making. We first provide an outline of the many different Multi-Criteria Analysis (MCA) techniques available and their relative advantages and disadvantages. In addition, theoretical and practical problems related to the use of Cost-Benefit Analysis (CBA) and MCA respectively are briefly discussed. We then review the MCA literature on case studies on organic farming. Based on this review we provide directional markers for future research where MCA may possibly be applied and adapted in order to provide useful knowledge and support for decision makers in the context of organic farming.
Leliveld, Marijke Christina
This dissertation sheds more light on ethics in economic decision-making. Over the course of nine experiments, I studied (a) when people adhere to ethical standards like the do-no-harm principle, and (b) how people respond to situations in which ethical standards are violated by studying not only punishing behavior but also compensation behavior. I show that when people know that by furthering their self-interest they harm another person (either by taking from or by allocating a loss to the o...
Zandstra, Elizabeth H; Miyapuram, Krishna P; Tobler, Philippe N
Consumers make many decisions in everyday life involving finances, food, and health. It is known from behavioral economics research that people are often driven by short-term gratification, that is, people tend to choose the immediate, albeit smaller reward. But choosing the delayed reward, that is, delaying the gratification, can actually be beneficial. How can we motivate consumers to resist the "now" and invest in their future, leading to sustainable or healthy habits? We review recent developments from behavioral and neuroimaging studies that are relevant for understanding consumer decisions. Further, we present results from our field research that examined whether we can increase the perceived value of a (delayed) environmental benefit using tailored communication, that is, change the way it is framed. More specifically, we investigated whether we can boost the value of an abstract, long-term "green" claim of a product by expressing it as a concrete, short-term benefit. This is a new application area for behavioral economics. PMID:23317834
Full Text Available Environmental burden of disease represents one quarter of overall disease burden, hence necessitating greater attention from decision makers both inside and outside the health sector. Economic evaluation techniques such as cost- effectiveness analysis and cost-benefit analysis provide key information to health decision makers on the efficiency of environmental health interventions, assisting them in choosing interventions which give the greatest social return on limited public budgets and private resources. The aim of this article is to review economic evaluation studies in three environmental health areaswater, sanitation, hygiene (WSH, vector control, and air pollutionand to critically examine the policy relevance and scientific quality of the studies for selecting and funding public programmers. A keyword search of Medline from 19902008 revealed 32 studies, and gathering of articles from other sources revealed a further 18 studies, giving a total of 50 economic evaluation studies (13 WSH interventions, 16 vector control and 21 air pollution. Overall, the economic evidence base on environmental health interventions remains relatively weaktoo few studies per intervention, of variable scientific quality and from diverse locations which limits generalisability of findings. Importantly, there still exists a disconnect between economic research, decision making and programmer implementation. This can be explained by the lack of translation of research findings into accessible documentation for policy makers and limited relevance of research findings, and the often low importance of economic evidence in budgeting decisions. These findings underline the importance of involving policy makers in the defining of research agendas and commissioning of research, and improving the awareness of researchers of the policy environment into which their research feeds.
Five transuranic (TRU) waste sites in the Department of Energy (DOE) complex, collectively, have more than 2,100 cubic meters of Plutonium-238 (Pu-238) TRU waste that exceed the wattage restrictions of the Transuranic Package Transporter-II (TRUPACT-11). The Waste Isolation Pilot Plant (WIPP) is being developed by the DOE as a repository for TRU waste. With the Waste Isolation Pilot Plant (WIPP) opening in 1999, these sites are faced with a need to develop waste management practices that will enable the transportation of Pu-238 TRU waste to WIPP for disposal. This paper describes a decision analysis that provided a logical framework for addressing the Pu-238 TRU waste issue. The insights that can be gained by performing a formalized decision analysis are multifold. First and foremost, the very process. of formulating a decision tree forces the decision maker into structured, logical thinking where alternatives can be evaluated one against the other using a uniform set of criteria. In the process of developing the decision tree for transportation of Pu-238 TRU waste, several alternatives were eliminated and the logical order for decision making was discovered. Moreover, the key areas of uncertainty for proposed alternatives were identified and quantified. The decision analysis showed that the DOE can employ a combination approach where they will (1) use headspace gas analyses to show that a fraction of the Pu-238 TRU waste drums are no longer generating hydrogen gas and can be shipped to WIPP ''as-is'', (2) use drums and bags with advanced filter systems to repackage Pu-238 TRU waste drums that are still generating hydrogen, and (3) add hydrogen getter materials to the inner containment vessel of the TRUPACT-11to relieve the build-up of hydrogen gas during transportation of the Pu-238 TRU waste drums
Ravagnani, Ana Teresa Gaspar; Munoz Mazo, Eduin; Schiozer, Denis [Universidade Estadual de Campinas (UNICAMP), SP (Brazil). Dept. de Engenharia de Petroleo. Lab. de Simulacao de Fluxo em Meios Porosos (UNISIM)
This work presents a case study consisting of a synthetic offshore field in deep water and 28 deg API oil representing a gas solution model with water injection without gas cap. Several alternatives of strategies are proposed, regarding different configurations and number of wells, besides different limits of injection and production rates, as well as, completion layers. The objective is to show that different strategies can be obtained according to the indicator chosen by the decision maker. Even when the Net Present Value (NPV) is a very used indicator in the investment analysis, with the utilization of other technical-economical indicators, other investment alternatives different from those proposed when just VPL is utilized, can become feasible. Additionally, other aspects are analyzed, such as the possibility of changes in the production capacity with other oil prices levels. It is also proposed the production strategy optimization in this work, changing the time of production and the injection/production rate limits. (author)
Maturo, Antonio; HoÅ¡kovÃ¡-MayerovÃ¡, Å Ã¡rka; Kacprzyk, Janusz
The book provides a comprehensive and timely report on the topic of decision making and decision analysis in economics and the social sciences. The various contributions included in the book, selected using a peer review process, present important studies and research conducted in various countries around the globe. The majority of these studies are concerned with the analysis, modeling and formalization of the behavior of groups or committees that are in charge of making decisions of social and economic importance. Decisions in these contexts have to meet precise coherence standards and achieve a significant degree of sharing, consensus and acceptance, even in uncertain and fuzzy environments. This necessitates the confluence of several research fields, such as foundations of social choice and decision making, mathematics, complexity, psychology, sociology and economics. A large spectrum of problems that may be encountered during decision making and decision analysis in the areas of economics and the social ...
Szafranek, K.; Jakubiak, B.; Lech, R.; Tomczuk, M.
PROZA (Operational decision-making based on atmospheric conditions) is the project co-financed by the European Union through the European Regional Development Fund. One of its tasks is to develop the operational forecast system, which is supposed to support different economies branches like forestry or fruit farming by reducing the risk of economic decisions with taking into consideration weather conditions. In the frame of this studies system of sudden convective phenomena (storms or tornados) prediction is going to be built. The main authors' purpose is to predict MCSs (Mezoscale Convective Systems) basing on MSG (Meteosat Second Generation) real-time data. Until now several tests were performed. The Meteosat satellite images in selected spectral channels collected for Central Europe Region for May and August 2010 were used to detect and track cloud systems related to MCSs. In proposed tracking method first the cloud objects are defined using the temperature threshold and next the selected cells are tracked using principle of overlapping position on consecutive images. The main benefit to use a temperature thresholding to define cells is its simplicity. During the tracking process the algorithm links the cells of the image at time t to the one of the following image at time t+dt that correspond to the same cloud system (Morel-Senesi algorithm). An automated detection and elimination of some instabilities presented in tracking algorithm was developed. The poster presents analysis of exemplary MCSs in the context of near real-time prediction system development.
HERRAMIENTAS TEORICO CONCEPTUALES PARA EL ANÁLISIS DE LA TOMA DE DECISIONES EN COMITÉS DE ECONOMIA PÚBLICA / CONCEPTUAL THEORETICAL TOOLS FOR ANALYSIS OF DECISION MAKING IN PUBLIC ECONOMICS COMMITTEES
Francisca, Salinas Esteban; Munir Andrés, Jalil Barney.
Full Text Available Este artículo es un trabajo de carácter teórico la toma de decisiones en comités de economía pública. Se expondrá en primer lugar algunos conceptos básicos sobre la toma de decisiones, tales como: 1- las condiciones, 2- los factores individuales, 3- grupales y 4- las clasificaciones de las decisione [...] s, especialmente relacionadas al campo de las políticas públicas. Posteriormente, se presentarán algunos de los modelos sobre toma de decisiones relacionados con vertientes de la teoría económica y trabajos empíricos sobre la toma de decisiones en comités de economía pública, tanto fiscal como monetaria, los cuales pueden servir como marco de referencia para futuras investigaciones. Abstract in english This article is a theoretical work on the topic of decision making in public economics committees. It will present a First some basics about decisions such as: 1 conditions - 2 individual factors 3 - group and 4 - classifications of particular decisions related to the field of public policy. Later i [...] n January - will be presented some models of decision making related to aspects of economic theory and 2 - empirical work on decision making in committees specifically in public economics committees both fiscal and monetary, which can serve as a framework for reference for future research.
Few farmers and ranchers adopt agricultural software such as decision support systems (DSS). While numerous decision aids are available, most are too difficult for producers to use, exclude components (e.g., economic budgeting, weeds, multicriteria decision analysis) necessary for meaningful use on...
The paper designs a quantum model of decision-making (QMDM) that utilizes neuroscientific evidence. The new model provides both normative and positive implications to economics. First, it enhances the study of decision-making which is an extension of the expected utility theory (EUT) in mathematical economics. Second, we demonstrate how the quantum model mitigates drawbacks of the expected utility theory of today.
The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process.Â In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.
Wunderink, S R
This study examines economic models of household choice and the role of economic factors in determining the timing of births. A static economic model is presented and tested with data from the Netherlands. After the availability of contraceptives, the family size variable shifted from being an exogenous to an endogenous one, because births could be regulated. Costs of childbearing were construed to have maintenance costs for parents and society, attendance costs of care, and intangible costs such as anxiety or personal freedom. Benefits were intangible ones, such as joy and happiness; income; public benefits; and attendance benefits. Intangible benefits enlarged the utility of children, but maintenance costs diminished resources available for consumption. Child quality was a product of market goods purchased by parents and others and household labor. Household time allocation varied with child's age. Private responsibility for children varied by country. Quality of child care varied between countries and over time. Quality was dependent upon economies of scale, variable costs by the age of the child, variable time commitments by age of the child, and market substitutes for private child care. Higher income families spent more money but less time on children. It is pointed out that Becker's model explained number of children, but not timing of births. Postponement of birth was unlikely for those with a limited education, an unpleasant job, and low wages. When the advantages and disadvantages of having a baby were positive, spouses or single women with a high subjective preference were expected to bear a child as soon as possible. Government policy can affect the average family size by increasing or decreasing the financial and/or time burden of children. Postponement may be chosen based on long term analysis of a couple's future, the formation and use of capital, and/or high subjective time preference. Before and after first birth are different frames of reference for couples. Before the birth, the future may be vague. After the birth, life without a child becomes unimaginable. PMID:12291178
David S. Murphy
Full Text Available Traditional economic theory postulates that people are rational. This implies that people make decisions to maximize their utility functions and to do this, that they have fully and correctly evaluated their preferences and limitations. Behavioral economics recognizes that this is not always true, that sometimes information is incomplete. This article is examines some of the effects of behavioral economics (which come largely from cognitive psychology in decision-making by investors in the stock exchanges.
Full Text Available Norman AS FarbRotman Research Institute, Baycrest, Toronto, Ontario, CanadaAbstract: Neuroimaging has grown in prominence with the popularization of relatively inexpensive and noninvasive techniques. The popular conception of neuroimaging is that it can finely describe a person's internal states and proclivities, providing veridical evidence in real-world situations, such as criminal trials, or in predicting consumer behavior. However, the scientific reality is far from this ideal; current neuroimaging techniques lack the precision to predict specific behaviors or preferences. Nonetheless, these techniques still possess considerable utility in describing forms of cognition that are recruited during decision making, such as an individual's tendency to focus on risk or reward. Such investigations can inform economic theory by characterizing contextual influences in decision making, revealing sources of bias in how value is appraised, generating new research hypotheses, and eventually leading to a more complete theory of human behavior. This review paper summarizes recent research that advances our understanding of the neural networks underlying decision making and outlines the strengths and limitations of current neuroimaging analysis techniques for informing neuroeconomic theory.Keywords: neuroimaging, fMRI, decision making, neuroeconomics, systems neuroscience
Astor, Philipp J.
By employing the methodology of experimental economics, the thesis examines the influence of emotions on decision making in electronic auction markets. Subjects' emotional processes are measured by psychophysiological indicators, helping to decipher the coherence of information, emotion (regulation) and decision making. Four chapters build the main body of the thesis and all are constructed similarly: introduction, design, method, results, limitations, theoretical and managerial implications.
Johnson, Theresa L.
High-stakes standardized tests in reading and limited instructional time are two powerful disincentives for teaching economics in the elementary classroom. In this article, integrating instruction in poetry and economic decision-making is presented as one way to maximize the use of scarce instructional time. Following a brief introduction to the
Ro?. 13, ?. 1 (2005), s. 119-127. ISSN 0572-3043 R&D Projects: GA ?R GA402/02/1015; GA AV ?R IAA7075202 Institutional research plan: CEZ:AV0Z10750506 Keywords : economic processes * multistage stochastic programming * Markov dependence Subject RIV: BB - Applied Statistics, Operational Research
Full Text Available During decision making, the outcomes expected from alternative actions are often evaluated along multiple dimensions, such as the magnitude and delay of reward. We found that during inter-temporal choice in which the animals choose between a small immediate reward and a larger but more delayed reward, the neurons in the lateral prefrontal cortex and basal ganglia often encode the subjective value of a particular reward discounted by its delay. The lateral prefrontal cortex also plays an important role in updating the animals preference for alternative actions based on its previous experience. Using a computer-simulated rock-paper-scissors task, we found that the activity of individual prefrontal cortex tends to reflect not only the actual outcomes of the animals chosen actions, but also the hypothetical outcomes that could have been obtained from one of unchosen actions. These results suggest that the prefrontal cortex provides the learning signals necessary to maximize the efficiency of reinforcement learning in addition to the value signals during decision making.
This analysis seeks to model and evaluate the economics of the use of Advanced Liquid Metal Reactors (ALMR) as a component of this country's future electricity generation mix. The ALMR concept has the ability to utilize as fuel the fissile material contained in previously irradiated nuclear fuel (i.e., spent fuel). While not a requirement for the successful deployment of ALMR power plant technology, the reprocessing of spent fuel from light water reactors (LWR) is necessary for any rapid introduction of ALMR power plants. In addition, the reprocessing of LWR spent fuel may reduce the number of high level waste repositories needed in the future by burning the long-lived actinides produced in the fission process. With this study, the relative economics of a number of potential scenarios related to these issues are evaluated. While not encompassing the full range of all possibilities, the cases reported here provide an indication of the potential costs, timings, and relative economic attractiveness of ALMR deployment
The costs of the production and upgrading of biomass pyrolysis oils and the production costs of electricity in plants using them as fuels are analysed. The performance and cost estimates show that while the crude liquids can be economic at low feedstock costs, refined hydrocarbons are not competitive without credits for low sulphur and environmental and socio-economic contributions. As feedstock cost is the major cost item, any process that can utilise waste materials having low inherent cost will have the best chance to show economic viability in the short term. Analysis of the costs of generating electricity from the combustion of organic raw materials derived from biomass and wastes shows that a substantial reduction can be achieved by increasing the yield of plants grown for energy use. If this is combined with technological developments which can achieve conversion efficiencies comparable with those of large combined-cycle systems based on fossil-fuels, then biomass derived electricity can be competitive. Such competitivity can be enhanced in the short term where set-aside payments can be used to reduce net biomass production cost. (7 figures, 4 tables). (UK)
Strategic Decision Analysis (SDA) is the evolving body of knowledge on how to achieve high quality in the decision that shapes an organization's future. SDA comprises philosophy, process concepts, methodology, and tools for making good decisions. It specifically incorporates many concepts and tools from economic evaluation and risk analysis. Chevron Petroleum Technology Company (CPTC) has applied SDA to evaluate and prioritize a number of its most important and most uncertain R and D projects, including borehole seismology. Before SDA, there were significant issues and concerns about the value to CPTC of continuing to work on borehole seismology. The SDA process created a cross-functional team of experts to structure and evaluate this project. A credible economic model was developed, discrete risks and continuous uncertainties were assessed, and an extensive sensitivity analysis was performed. The results, even applied to a very restricted drilling program for a few years, were good enough to demonstrate the value of continuing the project. This paper explains the SDA philosophy concepts, and process and demonstrates the methodology and tools using the borehole seismology project example. SDA is useful in the upstream industry not just in the R and D/technology decisions, but also in major exploration and production decisions. Since a major challenge for upstream companies today is to create and realize value, the SDA approach should have a very broad applicability
The reasons of a restricted applicability of the models of decision making in social and economic systems. 3 basic principles of growth of their adequacy are proposed: "localization" of solutions, direct account of influencing of the individual on process of decision making ("subjectivity of objectivity") and reduction of influencing of the individual psychosomatic characteristics of the subject (" objectivity of subjectivity ") are offered. The principles are illustrated on mathe...
Goeree, Ron; Diaby, Vakaramoko
In a climate of escalating demands for new health care services and significant constraints on new resources, the disciplines of health economics and health technology assessment (HTA) have increasingly been turned to as explicit evidence-based frameworks to help make tough health care access and reimbursement decisions. Health economics is the discipline of economics concerned with the efficient allocation of health care resources, essentially trying to maximize health benefits to society contingent upon available resources. HTA is a broader field drawing upon several disciplines, but which relies heavily upon the tools of health economics and economic evaluation. Traditionally, health economics and economic evaluation have been widely used at the political (macro) and local (meso) decision-making levels, and have progressively had an important role even at informing individual clinical decisions (micro level). The aim of this paper is to introduce readers to health economics and discuss its relevance to frontline clinicians. Particularly, the content of the paper will facilitate clinicians' understanding of the link between economics and their medical practice, and how clinical decision-making reflects on health care resource allocation. PMID:24182604
Rodrigo S. Archondo-Callao
This note presents the Roads Economic Decision Model (RED) that performs an economic evaluation of road investments, and maintenance options, customized to the characteristics of low-volume roads, such as: high uncertainty of the assessment of traffic, road condition, and future maintenance of unpaved roads; periods with pass disruptions; levels of service, and corresponding road user cost...
Henrion, Max; Breese, John S.; Horvitz, Eric J.
Decision analysis and expert systems are technologies intended to support human reasoning and decision making by formalizing expert knowledge so that it is amenable to mechanized reasoning methods. Despite some common goals, these two paradigms have evolved divergently, with fundamental differences in principle and practice. Recent recognition of the deficiencies of traditional AI techniques for treating uncertainty, coupled with the development of belief nets and influence diagrams, is stimu...
Ok, Efe A
There are many mathematics textbooks on real analysis, but they focus on topics not readily helpful for studying economic theory or they are inaccessible to most graduate students of economics. Real Analysis with Economic Applications aims to fill this gap by providing an ideal textbook and reference on real analysis tailored specifically to the concerns of such students. The emphasis throughout is on topics directly relevant to economic theory. In addition to addressing the usual topics of real analysis, this book discusses the elements of order theory, convex analysis, optimizatio
This paper considers the effects of a branch campus on the individual college education decision and the economic welfare of a developing country. There are a single domestic college and a single branch campus established by a foreign university. A graduate from the branch campus has an opportunity to emigrate and work abroad, earning a higher
Engel, David W.
Decision and Risk Analysis capabilities will be developed for industry consideration and possible adoption within Year 1. These tools will provide a methodology for merging qualitative ranking of technology maturity and acknowledged risk contributors with quantitative metrics that drive investment decision processes. Methods and tools will be initially introduced as applications to the A650.1 case study, but modular spreadsheets and analysis routines will be offered to industry collaborators as soon as possible to stimulate user feedback and co-development opportunities.
Soutschek, Alexander; Schubert, Torsten
Decision making in the Ultimatum game requires the resolution of conflicts between economic self-interest and fairness intuitions. Since cognitive control processes play an important role in conflict resolution, the present study examined how control processes that are triggered by conflicts between fairness and self-interest in unfair offers affect subsequent decisions in the Ultimatum game. Our results revealed that more unfair offers were accepted following previously unfair, compared to previously fair offers. Interestingly, the magnitude of this conflict adaptation effect correlated with the individual subjects' focus on economic self-interest. We concluded that conflicts between fairness and self-interest trigger cognitive control processes, which reinforce the focus on the current task goal. PMID:25105951
Ainsworth, Sarah E.; BAUMEISTER, ROY F.; Vohs, Kathleen D.; Ariely, Dan
Three experiments tested the effects of ego depletion on economic decision making. Participants completed a task either requiring self-control or not. Then participants learned about the trust game, in which senders are given an initial allocation of $10 to split between themselves and another person, the receiver. The receiver receives triple the amount given and can send any, all, or none of the tripled money back to the sender. Participants were assigned the role of the sender and decided ...
Natiello, T A
New perspectives on the economic aspects of clinical decision making in the changing health-care environment are discussed. Economic appraisal of health-care delivery offers a mechanism for categorizing choices, assigning priorities, and consolidating disparate aspects of a problem into common measures, such as the ratio of cost to a desired outcome. While past applications of this technique to health care usually considered only one aspect of patient care at a time, the importance of examining the entire process of patient-care activities and the outcome of that process is now recognized. Clinical decision making should transcend traditional boundaries, such as departments, specialty activities, and institutions. The methods of optimizing health-care outcome must be incorporated into the organization's mission, goals, and reward system. Economic evaluations of clinical decision making should incorporate a framework in which choices are related to desired outcomes and beneficial situations. The challenges lie in defining overall measures of health-care provision and developing management information systems reflecting these patient-care objectives and desired outcomes. PMID:3369457
Attanasi, E.D.; Coburn, T.C.; Freeman, P.A.
Sustained increases in energy prices have focused attention on gas resources in low permeability shale or in coals that were previously considered economically marginal. Daily well deliverability is often relatively small, although the estimates of the total volumes of recoverable resources in these settings are large. Planning and development decisions for extraction of such resources must be area-wide because profitable extraction requires optimization of scale economies to minimize costs and reduce risk. For an individual firm the decision to enter such plays depends on reconnaissance level estimates of regional recoverable resources and on cost estimates to develop untested areas. This paper shows how simple nonparametric local regression models, used to predict technically recoverable resources at untested sites, can be combined with economic models to compute regional scale cost functions. The context of the worked example is the Devonian Antrim shale gas play, Michigan Basin. One finding relates to selection of the resource prediction model to be used with economic models. Models which can best predict aggregate volume over larger areas (many hundreds of sites) may lose granularity in the distribution of predicted volumes at individual sites. This loss of detail affects the representation of economic cost functions and may affect economic decisions. Second, because some analysts consider unconventional resources to be ubiquitous, the selection and order of specific drilling sites may, in practice, be determined by extraneous factors. The paper also shows that when these simple prediction models are used to strategically order drilling prospects, the gain in gas volume over volumes associated with simple random site selection amounts to 15 to 20 percent. It also discusses why the observed benefit of updating predictions from results of new drilling, as opposed to following static predictions, is somewhat smaller. Copyright 2007, Society of Petroleum Engineers.
Delmar, M. V.; SÃ¸rensen, John Dalsgaard
The target group in this paper is people concerned with mathematical economic decision theory. It is shown how the numerically effective First Order Reliability Methods (FORM) can be used in rational management decision making, where some parameters in the applied decision basis are uncertainty q...
Mihaela Andreea STROE
Full Text Available The new economic approach starts from the idea that the individual does not need food, but feels the need to feed, or do not require newspapers, but feels the need of information. In this way, those who changes are not human preferences, but the way we satisfy them. At this stage of the paper, we explain the inconsistency in consumer preferences and the exceptions to the standard theory by making light upon what is called in behavioral economics: the effects of property, loss aversion and framing effects. In which concerns the standard economic model, it seems that there are discrepancies between objective measures of sources of comfort / discomfort and measures reported subjective sensations. Many defenders of classical model would argue that the measures are not reported subjective feelings of economic phenomena and therefore are not of interest to economists. However, when such feelings and sensations affect or may affect future decisions, things become relevant for the economy. Limited Rationality implies both that the agent is imperfectly informed decision-making in a complex and dynamic environment, and a limited ability processing.
Fast breeder reactor decision: an analysis of limits and the limits of analysis. A study prepared for the use of the Joint Economic Committee, Congress of the United States, Ninety-Fourth Congress, Second Session
Decisions on the development of the Liquid Metal Fast Breeder Reactor (LMFBR), which may involve nontransferable gains for current generations and major losses for future generations cannot be determined on a cost-benefit basis. Several cost-benefit analyses of the LMFBR are reviewed. With only one exception, all major analyses compare LMFBR futures with non-LMFBR futures and consider only the energy supply aspect of alternatives. The Manne study, however, compares peak-load pricing of electricity and points out that removal of distortions in energy pricing has greater economic benefits than economic losses due to delays in introducing the LMFBR. Revised price structures for electricity could have a larger future payoff than rapid LMFBR development. Constraints on LMFBR development, such as resource supplies, technological development, licensing, siting, and waste disposal, may have been underestimated. Appropriate institutions and procedures for nuclear decision making must be defined
This report describes framing an economic analysis model developed as a tool of total energy systems. To prospect and analyze future energy systems, it is important to analyze the relation between energy system and economic structure. We prepared an economic analysis model which was suited for this purpose. Our model marks that we can analyze in more detail energy related matters than other economic ones, and can forecast long-term economic progress rather than short-term economic fluctuation. From view point of economics, our model is longterm multi-sectoral economic analysis model of open Leontief type. Our model gave us appropriate results for fitting test and forecasting estimation. (author)
It has been well recognized that securing economic viabilities along with technologies are very important elements in the successful implementation of nuclear R and D projects. The objective of the Project is to help nuclear energy to be utilized in an efficient way by analyzing major issues related with nuclear economics. The study covers following subjects: the role of nuclear in the future electric supply system, economic analysis of nuclear R and D project, contribution to the regional economy from nuclear power. In addition, the study introduces the international cooperation in the methodological area of efficient use of nuclear energy by surveying the international activities related with nuclear economics
Lee, Man Ki; Moon, K. H.; Kim, S. S.; Lim, C. Y.; Oh, K. B
It has been well recognized that securing economic viabilities along with technologies are very important elements in the successful implementation of nuclear R and D projects. The objective of the Project is to help nuclear energy to be utilized in an efficient way by analyzing major issues related with nuclear economics. The study covers following subjects: the role of nuclear in the future electric supply system, economic analysis of nuclear R and D project, contribution to the regional economy from nuclear power. In addition, the study introduces the international cooperation in the methodological area of efficient use of nuclear energy by surveying the international activities related with nuclear economics.
Full Text Available Financial information has, indisputably, an important effect in economics. To form an effective capital market, financial information must be reliable and accurate. Misleading financial information always has a negative impact on economic decision taken by users. It is known that financial information as the cornerstone of financial markets, can improve economic performance in several ways. Nowadays we are facing economic crisis due to irregularities of presentation of financial statements to users. Misunderstandings cause economic recession. Detection of fraudulent financial information, is an important issue facing the auditing profession. Currently, bankruptcy of companies around the world, leaves millions of people without jobs, this is caused by financial information which is manipulated by companies. The purpose of this paper is to analyze the effects of errors and manipulation committed in the financial information sector on the real economy. Also one of the purposes of this paper is to analyze error and fraud in financial statements how it effects the real economy and the reasons for committing fraud in financial statements. Also, several suggestions are included in this study about actions that can be taken to prevent errors and manipulation in financial information.
Life extension economic analyses of fossil fueled power plants need the development of consistent methods which consider the capital costs associated with component replacement or repair and estimates of normal station capital expenditures over the units remaining life. In order to link capital and production costs, Niagra Mohawk Power Corp. develops most and worst cases. A most case includes capital components that would definitely need replacement or modification for life extension. The worst case scenario contains must case capital costs plus various components which may need replacement or modification. In addition, two forecasted conditions are used, base case capacity and low capacity
which is adaptable to all types of infrastructure related problems, and which can be used for decision support on both the administrative as well as the political level. In the administrative decision process the socio-economic analysis provides a foundation for a systematic examination of which project...... types or initiatives that are socio-economically most suitable for handling a specific infrastructure problem. Hence, the socio-economic appraisal can help undertaking a sound selection of the possible solutions that should be examined in further details. The socio-economic analysis is as well an...... important element in the political decision process. The analysis provides information about how the societyâs resources â from an economic viewpoint â are used in the best possible way, and how costs and benefits are distributed between e.g. the state, the users and the environment. The society does not...
Thomson, A. M.; Izaurralde, R. C.; Beach, R.; Zhang, X.; Zhao, K.; Monier, E.
A range of approaches can be used in the application of climate change projections to agricultural impacts assessment. Climate projections can be used directly to drive crop models, which in turn can be used to provide inputs for agricultural economic or integrated assessment models. These model applications, and the transfer of information between models, must be guided by the state of the science. But the methodology must also account for the specific needs of stakeholders and the intended use of model results beyond pure scientific inquiry, including meeting the requirements of agencies responsible for designing and assessing policies, programs, and regulations. Here we present methodology and results of two climate impacts studies that applied climate model projections from CMIP3 and from the EPA Climate Impacts and Risk Analysis (CIRA) project in a crop model (EPIC - Environmental Policy Indicator Climate) in order to generate estimates of changes in crop productivity for use in an agricultural economic model for the United States (FASOM - Forest and Agricultural Sector Optimization Model). The FASOM model is a forward-looking dynamic model of the US forest and agricultural sector used to assess market responses to changing productivity of alternative land uses. The first study, focused on climate change impacts on the UDSA crop insurance program, was designed to use available daily climate projections from the CMIP3 archive. The decision to focus on daily data for this application limited the climate model and time period selection significantly; however for the intended purpose of assessing impacts on crop insurance payments, consideration of extreme event frequency was critical for assessing periodic crop failures. In a second, coordinated impacts study designed to assess the relative difference in climate impacts under a no-mitigation policy and different future climate mitigation scenarios, the stakeholder specifically requested an assessment of a mitigation level of 3.7 W/m2, as well as consideration of different levels of climate sensitivity (2, 3, 4.5 and 6oC) and different initial conditions for addressing uncertainty. Since the CMIP 3 and CMIP5 protocols did not include this mitigation level or consider alternative levels of climate sensitivity, additional climate projections were required. These two cases will be discussed to illustrate some of the trade-offs made in development of methodologies for climate impact assessments that are intended for a specific user or audience, and oriented towards addressing a specific topic of interest and providing useable results. This involvement of stakeholders from the design phase of climate impacts methodology serves to both define the appropriate method for the question at hand and also to engage and inform the stakeholders of the myriad options and uncertainties associated with different methodology choices. This type of engagement should benefit decision making in the long run through greater stakeholder understanding of the science of future climate model projections, scenarios, the climate impacts sector models and the types of outputs that can be generated by each along with the respective uncertainties at each step of the climate impacts assessment process.
In this chapter the complex systems are discussed in the context of economic and business policy and decision making. It will be showed and motivated that social systems are typically chaotic, non-linear and/or non-equilibrium and therefore complex systems. It is discussed that the rapid change in global consumer behaviour is underway, that further increases the complexity in business and management. For policy making under complexity, following principles are offered: openness and international competition, tolerance and variety of ideas, self-reliability and low dependence on external help. The chapter contains four applications that build on the theoretical motivation of complexity in social systems. The first application demonstrates that small economies have good prospects to gain from the global processes underway, if they can demonstrate production flexibility, reliable business ethics and good risk management. The second application elaborates on and discusses the opportunities and challenges in decision making under complexity from macro and micro economic perspective. In this environment, the challenges for corporate management are being also permanently changed: the balance between short term noise and long term chaos whose attractor includes customers, shareholders and employees must be found. The emergence of chaos in economic relationships is demonstrated by a simple system of differential equations that relate the stakeholders described above. The chapter concludes with two financial applications: about debt and risk management. The non-equilibrium economic establishment leads to additional problems by using excessive borrowing; unexpected downturns in economy can more easily kill companies. Finally, the demand for quantitative improvements in risk management is postulated. Development of the financial markets has triggered non-linearity to spike in prices of various production articles such as agricultural and other commodities that has added market risk management to the business model of many companies.
Bodor, Andras; Robalino, David; Rutkowski, Michal
Mandatory pension systems can have a negative impact on individual savings and labor supply decisions. In particular, defined benefit pension schemes that are not actuarially fair, can create incentives for early retirement, and therefore, reduce labor supply and the stock of human capital. After a review of frequently applied approaches to assess the incentives generated by a pension system, the paper develops an indicator to predict the age-specific retirement probabilities induced by...
Silvestre, Aude; Sarlet, Marie; Huart, Johanne; Dardenne, BenoÃ®t
Can ideology, as a widespread âexpectation creator,â impact economic decisions? In two studies we investigated the influence of the Benevolent Sexism (BS) ideology (which dictates that men should provide for passive and nurtured women) on womenâs economic decision- making. In Study 1, using a Dictator Game in which women decided how to share amounts of money with men, results of a Generalized Linear Mixed Model analysis show that higher endorsement of BS and contextual expectat...
Salvesen, F.; Sandgren, J. [KanEnergi AS, Rud (Norway)
The present energy situation in the target area is summarized: 20 million inhabitants without electricity in north- west Russia, 50 % of the people in the Baltic`s without electricity, very high technical skills, biggest problems is the finance. The energy situation, the advantages of the renewables, the restrictions, and examples for possible technical solutions are reviewed on the basis of short analysis and experience with the Baltics and Russia
Chambwera, Muyeye; Zou, Ye; Boughlala, Mohamed
Across the developing world, decision makers understand the need to adapt to climate change particularly in agriculture, which supports a large proportion of low-income groups who are especially vulnerable to impacts such as increasing water scarcity or more erratic weather. But policymakers are often less clear about what adaptation action to take. Cost-benefit analyses can provide information on the financial feasibility and economic efficiency of a given policy. But such methods fail to capture the non-monetary benefits of adaptation, which can be even more important than the monetary ones. Ongoing work in Morocco shows how combining cost-benefit analysis with a more participatory stakeholder analysis can support effective decision making by identifying cross-sector benefits, highlighting areas of mutual interest among different stakeholders and more effectively assessing impacts on adaptive capacity.
Riana Iren RADU
Businesses today face a dynamic economic environment transformed by the direct effects of economic crisis. In these circumstances managers of entities are forced to adjust their actions in the economic environment through various kinds of decisions. Attention is paid to important financial decisions. Financial issues touch every aspect of economic life of an agent. In this context, is fitting the management of debts. Debt management problem can be addressed through a decision-making model. In...
M. Schröder(Deutsches Elektronen-Synchrotron, Hamburg, Germany)
How do moral arguments influence economic decisions? This study reconstructs five discussions about offshoring production to low-cost countries to understand how moral arguments attack the legitimacy of economic strategies. From these case studies about offshoring, I derive three mechanisms by which moral arguments influence economic decisions. Firstly, moral arguments appeal to values, influencing what their addressee defines as economically rational. Secondly, denouncing management decision...
The Planning and Economic Studies Section of the IAEA's Department of Nuclear Energy is focusing on topical studies related to energy and nuclear power in the context of sustainable development, and of techno-economic factors potentially affecting the future development of nuclear technologies. It offers over-arching analyses of energy, environmental and economic issues in the context of national sustainable development and energy security goals, and in competitive markets. These studies are done in collaboration with or used by MS and other international organisations for informed decision-making about the future role of nuclear technologies. The IAEA further offers energy assessments: comparing different energy technologies and choices, exploring and quantifying their costs, consequences and benefits, with a special focus, where appropriate, on nuclear power. Economic assessments offered include comparing the costs, relative cost-effectiveness and viability of nuclear and other technology choices, policy alternatives, or different climate change mitigation or sustainable development strategies, taking into account technology learning and innovation. Environmental assessments offered include estimating environmental impacts and external costs (health effects and materials damage) of pollution arising from specific energy production and use patterns
This book integrates Multicriteria Decision Analysis and Geographic Information Science, offering a comprehensive account of theories, methods, technologies and tools for tackling spatial decision problems and showing how GIS-MCDA aids planning and management.
Kaagebro, Elin; Vredin Johansson, Maria
Several of the adaptations to the climate change we are about to experience will occur successively and voluntarily in response to the climate change experienced. In many cases these adaptations will work perfectly but, for investments and activities with relatively long life-times (say more than 25 years) and for investments and activities that are sensitive to climate extremes, climate change requires increased planning and foresight. In these situations economic decision models can aid the decision-makers through providing well-founded bases for the decisions, as well as tools for prioritizations. In this report we describe the most common economic decision-models: cost-benefit analysis (CBA), cost-effectiveness analysis (CEA) and multi-criteria analysis (MCA). The descriptions will form a foundation for the continuing work on generating tools that can be useful for local decision-makers in their pursuit of coping with climate change within the Climatools programme
Gloria Beatriz, Orzuza
Full Text Available In 2000 the Organization of the United Nations established eight Millennium Development Goals (MDGs. The fourth objective, reducing child mortality, looks specifically for reducing two thirds of the mortality of children under five years old between 1990 and 2015. One of the specific indicators to measure progress towards this goal is the proportion of children under one year old immunized against measles.In 2001, the United Nations Development Program (UNDP estimated that over 60% of the population who lived in developing nations is far away or losing ground on achievement of the MDGs in reducing rates of infant mortality. This situation is compounded by the lack of progress in deepening the analysis of the issue, the lack of research and indicators to assess features timely coverage of care and health services.This article aims to contribute to the selection of the strategy which would improve health coverage in Misiones, using one of the tools of decision theory, the decision matrix.
Nielsen, Ron W.
Historical economic growth is analysed using the method of reciprocal values. Included in the analysis is the world and regional economic growth. The analysis demonstrates that the natural tendency for the historical economic growth was to increase hyperbolically.
Hellegers, P.J.G.J.; Soppe, R.; Perry, C.J.; Bastiaanssen, W. G. M.
This paper demonstrates that combining spatial land surface data with socio-economic analysis provides a number of indicators to strengthen decision making in integrated water and environmental management. It provides a basis to: track current water consumption in the Inkomati Basin in South-Africa; adjust irrigation water management; select crop types; facilitate planning; estimate crop yields before harvesting, and consequently to forecast market price development. Remote sensing data and e...
Hellegers, P.J.G.J.; Soppe, R.; Perry, C.J.
This paper demonstrates that combining spatial land surface data with socio-economic analysis provides a number of indicators to strengthen decision making in integrated water and environmental management. It provides a basis to: track current water consumption in the Inkomati Basin in South-Africa; adjust irrigation water management; select crop types; facilitate planning; estimate crop yields before harvesting, and consequently to forecast market price development. Remote sensing data and e...
The aims of this thesis were to evaluate caries-preventive measures from a societal perspective, to demonstrate the use of resources in preventive dentistry, to develop and discuss techniques suitable for evaluating dental care costs and outcomes, and to test costs and consequences within a health economic decision model adapted to preventive dental care. The thesis is based on three separate studies with three separate cohorts. In the first study, performed at a single dental clinic, analysi...
A case study has been performed to determine how multiple attributes as risk and cost criteria can be used for comparing severe accident management strategies for nuclear power plants. A mixed influence diagram/decision tree modelling technique has been used to model the strategies, combining the benefits of both separate techniques. It is concluded that multiple attributes like individual risk, group risk and strategy implementation costs can be addressed. A full-scope multicriteria decision analysis has been performed. (orig.)
Jacob N. Shapiro
Full Text Available Terrorist groups repeatedly take actions that are ultimately politically counter-productive. Sometimes these are the result of deliberate calculations that happen to be mistaken - Al-Qaedas decision to conduct the 9/11 attacks is the most obvious example of an ultimately self-defeating operation. Sometimes they reflect the challenges groups face in controlling their operatives: Al-Qaeda in Iraqs excessive public violence against other Sunni organisations stand out. At other times they appear to steer difficult political waters quite effectively despite of deep internal divisionsHamas is the exemplar here. This article reviews recent developments in the literature on terrorist decision-making in economics and political science. Overall, tremendous advances have been made in the last 10 years, but much work remains to be done. In particular, it is argued that the literature needs to do better at testing its theories in inferentially credible ways and at considering terrorism as one tactical option among many for opposition political groups.
Arrondo, Gonzalo; Aznárez-Sanado, Maite; Fernández-Seara, Maria A; Goñi, Joaquín; Loayza, Francis R; Salamon-Klobut, Ewa; Heukamp, Franz H; Pastor, Maria A
Studies on animals and humans have demonstrated the importance of dopamine in modulating decision-making processes. In this work, we have tested dopaminergic modulation of economic decision-making and its neural correlates by administering either placebo or metoclopramide, a dopamine D2-receptor antagonist, to healthy subjects, during a functional MRI study. The decision-making task combined probability and time delay with a fixed monetary reward. For individual behavioral characterization, we used the Probability Time Trade-off (PTT) economic model, which integrates the traditional trade-offs of reward magnitude-time and reward magnitude-probability into a single measurement, thereby quantifying the subjective value of a delayed and probabilistic outcome. A regression analysis between BOLD signal and the PTT model index permitted to identify the neural substrate encoding the subjective reward-value. Behaviorally, medication reduced the rate of temporal discounting over probability, reflected in medicated subjects being more prone to postpone the reward in order to increase the outcome probability. In addition, medicated subjects showed less activity during the task in the postcentral gyrus as well as frontomedian areas, whereas there were no differences in the ventromedial orbitofrontal cortex (VMOFC) between groups when coding the subjective value. The present study demonstrates by means of behavior and imaging that dopamine modulation alters the probability-time trade-off in human economic decision-making. PMID:25840742
The objective of SCK-CEN's R and D programme on decision strategies is (1) to develop theories, methods and software tools which help decision makers shape, analyse and understand their decisions; (2) to study group processes in decision making; (3) to apply theories, methods and tools in a context related to nuclear emergency preparedness and more generally to support in a context dealing with ionising radiation; (4) to increase SCK-CEN's knowledge on general emergency preparedness and to introduce SCK-CEN staff to computer supported decision techniques. Ongoing R and D has two components: (1) the study of the use of information and knowledge transfer in group decision processes, and more specific studying important factors when computers are used as information source and communication tool; and (2) the study of preference modelling individually and during group decision processes. Principal achievements in 1999 are described
We present the findings of a literature survey on decision analysis in energy and environmental modeling. Surveyed studies are classified according to the decision analysis technique used and by application area. It has been found that decision making under uncertainty is the most important application technique and energy planning and policy analysis is the most common application area. The results of a multiple attribute analysis on suitability and actual level of usage of each decision analysis technique for energy and environmental applications are also presented. (author)
The recent booming development of renewable power generation and government subsidies are constantly under scrutiny and various opinions exist regarding whether subsidies should be continued or not. Motivated by the controversies and debates, this dissertation attempted to address the investment decision making problem under uncertainties in the renewable power industry from the perspective of an individual power producer. Given that independent power producers still dominate the renewable power production and that majority of their output are sold through long-term power purchase agreements, this study focused on two types of uncertainties that could represent most of their kinds: the operations & maintenance (O&M) cost and governmental subsidy's renewal/expiration. Three types of investment activities that covers the major part of any renewable power plant's economic life are thoroughly investigated in a chronological order: an initial entry, exit when the plant reaches its economic life, and repowering. A real-options approach was adopted and improved to model the value of a power plant considering its future activities, while both cost and policy changes modeled as some stochastic processes. Significant policy implications and managerial insights were obtained as a result of extensive analytical modeling and statistical study of empirical evidence.
This paper presents a study of the economic performance of Fission/Fusion Hybrid devices. This work takes fusion breeder cost estimates and applies methodology and cost factors used in the fission reactor programs to compare fusion breeders with Liquid Metal Fast Breeder Reactors (LMFBR). The results of the analysis indicate that the Hybrid will be in the same competitive range as proposed LMFBRs and have the potential to provide economically competitive power in a future of rising uranium prices. The sensitivity of the results to variations in key parameters is included
This paper presents a study of the economic performance of Fission/Fusion Hybrid devices. This work takes fusion breeder cost estimates and applies methodology and cost factors used in the fission reactor programs to compare fusion breeders with Liquid Metal Fast Breeder Reactors (LMFBR). The results of the analysis indicate that the Hybrid will be in the same competitive range as proposed LMFBRs and have the potential to provide economically competitive power in a future of rising uranium prices. The sensitivity of the results to variations in key parameters is included.
Macomber, H. L.
An economic-analysis summary was presented for the manufacture of crystalline-silicon modules involving silicon ingot/sheet, growth, slicing, cell manufacture, and module assembly. Economic analyses provided: useful quantitative aspects for complex decision-making to the Flat-plate Solar Array (FSA) Project; yardsticks for design and performance to industry; and demonstration of how to evaluate and understand the worth of research and development both to JPL and other government agencies and programs. It was concluded that future research and development funds for photovoltaics must be provided by the Federal Government because the solar industry today does not reap enough profits from its present-day sales of photovoltaic equipment.
Silvestre, Aude; Sarlet, Marie; Huart, Johanne; Dardenne, Benoit
Can ideology, as a widespread "expectation creator," impact economic decisions? In two studies we investigated the influence of the Benevolent Sexism (BS) ideology (which dictates that men should provide for passive and nurtured women) on women's economic decision-making. In Study 1, using a Dictator Game in which women decided how to share amounts of money with men, results of a Generalized Linear Mixed Model analysis show that higher endorsement of BS and contextual expectations of benevolence were associated with more very unequal offers. Similarly, in an Ultimatum Game in which women received monetary offers from men, Study 2's Generalized Linear Mixed Model's results revealed that BS led women to reject more very unequal offers. If women's endorsement of BS ideology and expectations of benevolence prove contrary to reality, they may strike back at men. These findings show that BS ideology creates expectations that shape male-female relationships in a way that could be prejudicial to men. PMID:26870955
Medical decision-making studies continue to focus on two questions: How do physicians make decisions and how should physicians make decisions. Researchers pursuing the first question emphasize human cognitive processes and the programming of symbol systems to model the observed human behaviour. Those researchers concentrating on the second question assume that there is a standard of performance against which physicians' decisions can be judged, and to help the physician improve his performance an array of tools is proposed. These tools include decision trees, Bayesian analysis, decision matrices, receiver operating characteristic (ROC) analysis, and cost-benefit considerations including utility measures. Both questions must be answered in an ethical context where ethics and decision analysis are intertwined. (author)
Reducing cost is a critical challenge facing environmental remediation today. One of the most effective ways of reducing costs is to improve decision-making. This can range from choosing more cost- effective remediation alternatives (for example, determining whether a groundwater contamination plume should be remediated or not) to improving data collection (for example, determining when data collection should stoop). Uncertainty in site conditions presents a major challenge for effective decision-making. We present a framework for increasing the effectiveness of remedial design decision-making at groundwater contamination sites where there is uncertainty in many parameters that affect remediation design. The objective is to provide an easy-to-use economic framework for making remediation decisions. The presented framework is used to 1) select the best remedial design from a suite of possible ones, 2) estimate if additional data collection is cost-effective, and 3) determine the most important parameters to be sampled. The framework is developed by combining elements from Latin-Hypercube simulation of contaminant transport, economic risk-cost-benefit analysis, and Regional Sensitivity Analysis (RSA)
Full Text Available In article problems of teaching of mathematical disciplines at economic universities are considered. The analysis of a state of preparation of entrants last years on the basis of researches PISA and the report of UNESCO on formation in the world is carried out. It is shown that in the conditions of an insufficient financ-ing of education in the Russian Federation and low level of preparation of entrants in the basic subjects, it is necessary to optimize curriculums and to use new educational technologies. It is offered to use the free software designed for carrying out mathematical and econometrics calculations, unique system of genera-tion of examinations and tests, the modern language of programming optimized for use by students of economic specialties, profound studying of tabular processor Microsoft Excel.
Consent was given for the construction of the Sizewell B nuclear power station in March 1987. This was in spite of objections that the conditions had changed between then and the end of the public inquiry in 1985. In particular, the economic analysis of the Department of Energy was that there was only one chance in seven that a coal-fired station would provide new capacity at lower cost than Sizewell-B. Independent verifiable calculations show this to be incorrect, partly because it was based on an error made in the calculations of the Inquiry report. The figures are recalculated. It is concluded that there is no longer an economic case for building Sizewell-B ahead of capacity need as was claimed at the Sizewell Inquiry. Various other conclusions are also drawn. (U.K.)
The objective of this study is to evaluate the contribution of nuclear energy to the energy use in the economical way, based on the factor survey performed on the internal and external environmental changes occurred recent years. Internal and external environmental changes are being occurred recent years involving with using nuclear energy. This study summarizes the recent environmental changes in nuclear energy such as sustainable development issues, climate change talks, Doha round and newly created electricity fund. This study also carried out the case studies on nuclear energy, based on the environmental analysis performed above. The case studies cover following topics: role of nuclear power in energy/environment/economy, estimation of environmental external cost in electric generation sector, economic comparison of hydrogen production, and inter-industrial analysis of nuclear power generation
Engineering trade study analyses demand consideration of performance, cost and schedule impacts across the spectrum of alternative concepts and in direct reference to product requirements. Prior to detailed design, requirements are too often ill-defined (only goals ) and prone to creep, extending well beyond the Systems Requirements Review. Though lack of engineering design and definitive requirements inhibit the ability to perform detailed cost analyses, affordability trades still comprise the foundation of these future product decisions and must evolve in concert. This presentation excerpts results of the recent NASA subsonic Engine Concept Study for an Advanced Single Aisle Transport to demonstrate an affordability evaluation of performance characteristics and the subsequent impacts on engine architecture decisions. Applying the Process Based Economic Analysis Tool (PBEAT), development cost, production cost, as well as operation and support costs were considered in a traditional weighted ranking of the following system-level figures of merit: mission fuel burn, take-off noise, NOx emissions, and cruise speed. Weighting factors were varied to ascertain the architecture ranking sensitivities to these performance figures of merit with companion cost considerations. A more detailed examination of supersonic variable cycle engine cost is also briefly presented, with observations and recommendations for further refinements.
Illinois Power Company (IP) is an investor-owned electric and natural gas utility serving portions of downstate Illinois. In addition to one nuclear unit and several small gas and/or oil-fired units, IP has ten coal-fired units. It is easy to understand the impact the Clean Air Act Amendments of 1990 (CAAA) could have on IP. Prior to passage of the CAAA, IP formed several teams to evaluate the specific compliance options at each of the high sulfur coal units. Following that effort, numerous economic analyses of compliance strategies were conducted. The CAAA have introduced a new dimension to planning under uncertainty. Not only are many of the familiar variables uncertain, but the specific form of regulation, and indeed, the compliance goal itself is hard to define. For IP, this led them to use techniques not widely used within their corporation. This paper summarizes the analytical methods used in these analyses and the preliminary results as of July, 1991. The analysis used three approaches to examine the acid rain compliance decision. These approaches were: (1) the 'most-likely,' or single-path scenario approach; (2) a multi-path strategy analysis using the strategies defined in the single-scenario analysis; and (3) a less constrained multi-path option analysis which selects the least cost compliance option for each unit
Paul Goodwin is Senior Lecturer in Management Science in the Management School at the University of Bath. His research interests focus on the role of management judgment in forecasting and decision-making, and he has published in key journals in the field. He is an Associate Editor of the International Journal of Forecasting and a member of the editorial board of the Journal of Behavioral Decision Making. He has consulted with firms such as British Telecom and South Western Electricity. George Wright is a psychologist with an interest in the role and validity of judgment in decision making a
Forsgren, Frank; Pohll, Greg; Tracy, John
The purpose of this study was to determine the most appropriate field activities in terms of reducing the uncertainty in the groundwater flow and transport model at the Project Shoal area. The data decision analysis relied on well-known tools of statistics and uncertainty analysis. This procedure identified nine parameters that were deemed uncertain. These included effective porosity, hydraulic head, surface recharge, hydraulic conductivity, fracture correlation scale, fracture orientation, dip angle, dissolution rate of radionuclides from the puddle glass, and the retardation coefficient, which describes the sorption characteristics. The parameter uncertainty was described by assigning prior distributions for each of these parameters. Next, the various field activities were identified that would provide additional information on these parameters. Each of the field activities was evaluated by an expert panel to estimate posterior distribution of the parameters assuming a field activity was performed. The posterior distributions describe the ability of the field activity to estimate the true value of the nine parameters. Monte Carlo techniques were used to determine the current uncertainty, the reduction of uncertainty if a single parameter was known with certainty, and the reduction of uncertainty expected from each field activity on the model predictions. The mean breakthrough time to the downgradient land withdrawal boundary and the peak concentration at the control boundary were used to evaluate the uncertainty reduction. The radionuclide 137Cs was used as the reference solute, as its migration is dependent on all of the parameters. The results indicate that the current uncertainty of the model yields a 95 percent confidence interval between 42 and 1,412 years for the mean breakthrough time and an 18 order-of-magnitude range in peak concentration. The uncertainty in effective porosity and recharge dominates the uncertainty in the model predictions, while the other parameters are less important. A two-stage process was used to evaluate the optimal field activities. For all of the field activities combined there were five activities that were found to be "optimal" in terms of uncertainty reduction per unit cost: two-well, natural-gradient, energy budget, and single-well tracer tests, and the vadose zone modeling. A subset of the field activities was chosen such that there would be no duplication in parameter characterization. Of this subset, the vadose zone model, barometric test, energy budget, and the two-well tracer test were found to be optimal for the peak breakthrough time metric, while the single-well tracer test and the hydraulic head measurements are also considered optimal for the peak concentration metric. The environmental tracer activity was not found to be optimal, yet this activity may provide additional information on the transport system. Care must be taken in using this analysis to design a field characterization plan, as many assumptions were required in the analysis. First, many subjective assumptions were required to assess the reliability of the field activities in terms of their ability to reduce the uncertainty in the mean parameters. Actual field characterization may not result in the same reduction in model output uncertainty as estimated by this analysis. Second, this analysis focused on the reduction in model uncertainty due to the reduction in the uncertainty in the mean parameters. If the uncertainty in the mean parameters is reduced to zero, there still exists uncertainty in the natural heterogeneity that can never be reduced to zero. Therefore, this analysis should be used in combination with expert judgement when designing a field characterization strategy.
The economic impact of imposing countermeasures in case of a nuclear emergency is a very important aspect in both the Probabilistic Risk Assessment code COSYMA and the Real-time On-line DecisiOn Support system RODOS. Therefore, these codes make use of the economic model ECONOM. In this paper, we will show that this economic model is not very well suited, nor designed, to predict the economic impact of evacuating a highly industrialised area in case of a nuclear emergency. Furthermore, we will indicate how recent economic investment theories can be used to deal with this decision problem in a more elaborate way. (author)
Li, Ye; Baldassi, Martine; Johnson, Eric J.; Elke U. Weber
Fluid intelligence decreases with age, yet evidence about age declines in decision-making quality is mixed: Depending on the study, older adults make worse, equally good, or even better decisions than younger adults. We propose a potential explanation for this puzzle, namely that age differences in decision performance result from the interplay between two sets of cognitive capabilities that impact decision making, one in which older adults fare worse (i.e., fluid intelligence) and one in whi...
Bayesian decision theory, combined with conventional systems analysis techniques into the discipline called decision analysis, has been applied in this work to assess economic and social cost-benefits associated with reprocessing nuclear fuel. Particular attention in this paper is given to the models which have been developed to place numerical estimates in dollar terms on the three categories of social risks that have been identified with reprocessing. These categories include: (1) health, environment, and safety, (2) diversion of fissile material, including sabotage, terrorist acts, and subnational diversion, and (3) nuclear proliferation, defined to be a diversion at the national level to obtain weapons capability. The emphasis is placed on the third category, as proliferation risk has not been treated elsewhere in a quantitative fashion; most arguments have in the main been qualitative conjectures put forth by political scientists
The purpose of this study is to evaluate the role of nuclear power from the perspective of sustainable development. Nuclear issues have become lied at the center of social concerns in Korea because they include not only the field of energy supply but also the social interests and conflicts. This study will help to provide the unbiased information, which can be referred to and utilized in reaching a social consensus on the related social issues. This study includes both the nuclear related issues in the electricity planning and the regional economic effects by nuclear power. The nuclear related issues in the electricity planning in the study include the probability assessment of the current national forecasted electricity demand being materialized, projection of the proper nuclear capacity, and the proper role and prospects of renewable energy, and distributed generation. For the analysis on the regional economic effect from nuclear power, the region of Uljin was chosen, and input output analysis on the region was carried out. For the input output analysis, we created the regional I/O table by classifying the number of producing sectors into 14 taking into consideration the availability of the regional statistics
1 Introduction The most common methodology applied so far to the evaluation of transport systems has been conventional cost-benefit analysis (CBA) (Janic, 2003), which supported by traffic- and impact model calculations provides the decision-makers with a monetary assessment of the project...... recent years that besides the social costs and benefits associated with transport other impacts that are more difficult to monetise should also have influence on the decision making process. This is in many developed countries realised in the transport planning, which takes into account a wide range of......, however, commonly agreed that the final decision making concerning transport infrastructure projects in many cases will depend on other aspects besides the monetary ones assessed in a socio-economic analysis. Nevertheless, an assessment framework such as the Danish one (DMT, 2003) does not provide any...
Full Text Available Background and Purpose: The sugar beet is the main field crop used for sugar production in the temperate climatic zone. Since investment in sugar beet industry are long term and ireversible the decision support and economic analysis are required in order to maximise investment returns.
Mengarelli, Flavia; Moretti, Laura; Faralla, Valeria; Vindras, Philippe; Sirigu, Angela
In everyday life, people often make decisions on behalf of others. The current study investigates whether risk preferences of decision-makers differ when the reference point is no longer their own money but somebody else money. Thirty four healthy participants performed three different monetary risky choices tasks by making decisions for oneself and for another unknown person. Results showed that loss aversion bias was significantly reduced when participants were choosing on behalf of another...
Silvestre, Aude; Sarlet, Marie; Huart, Johanne; Dardenne, Benoit
Can ideology, as a widespread âexpectation creator,â impact economic decisions? In two studies we investigated the influence of the Benevolent Sexism (BS) ideology (which dictates that men should provide for passive and nurtured women) on womenâs economic decision-making. In Study 1, using a Dictator Game in which women decided how to share amounts of money with men, results of a Generalized Linear Mixed Model analysis show that higher endorsement of BS and contextual expectations of benevole...
Chung, E. S.; Lee, K. S.
This study develops a social-economic-engineering combined framework for decision making in water resources planning. This framework consists of four parts which are to spatially identify the grades on hydrological vulnerability (potential streamflow depletion and potential water quality deterioration), to evaluate the monetary values of improvements on hydrological vulnerability grades using the choice experiment method, to derive an alternative evaluation index (AEI) to quantify the effectiveness of all alternatives, and to combine the derived willingness-to-pays (WTPs) with the AEI and do the cost-benefit analysis of feasible alternatives. This framework includes the stakeholder participation in order to quantify the preferences with regard to management objectives (water quantity and quality) and WTPs of alternatives. Finally, the economic values of each alternative can be estimated by this study which combines the WTPs for improvements on hydrologic vulnerability grades with the AEI. The proposed procedure is applied in the Anyangcheon watershed which has been highly urbanized for past thirty years. As a result, WTPs are 0.24~10.08/month-household for water quantity and 0.80~8.60/month-household for water quality and residents of the five regions among six have higher WTPs for water quality improvement. Finally, since three of ten alternatives have BC>0, they can be proposed to the decision makers. This systematic screening procedure will provide decision makers with the flexibility to obtain stakeholders' consensus for water resources planning.
Spronk, Jaap; Steuer, R.E.; Zopounidis, C.
MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive work available to survey the state of the art in MCDA to date. Its 25 chapters are organized in eight parts and are written by 52 international leading experts. Each of these parts covers one of the central streams of multiple criteria decision analysis literature. These literature streams are: MCDA today, Foundations of MCDA, Our Ranking Methods, Multiattribute Utility Theory, Non-Classical MCDA Approache...
Before the January 1997 Record of Decision (ROD), the U.S. Department of Energy Office of Fissile Materials Disposition (DOE-MD) evaluated three technologies for the disposition of ?50 MT of surplus plutonium from defense-related programs-reactors, immobilization, and deep boreholes. As part of the process supporting the ROD, and comprehensive assessment of technical viability, cost, and schedule was conducted by DOE-MD and its national laboratory contractors. Oak Ridge National Laboratory managed and coordinated the life-cycle cost (LCC) assessment effort for this program. This report discusses the economic analysis methodology and the results for the reactor options considered prior to ROD. A secondary intent of the report is to discuss major technical and economic issues that impact cost and schedule. To evaluate the economics of the reactor option and other technologies on an equitable basis, a set of cost-estimating guidelines and a common cost-estimating format were utilized by all three technology teams. This report includes the major economic analysis assumptions and the comparative constant-dollar and discounted-dollar LCCs for all nine reactor scenarios
Full Text Available The existence of major gene in the Indonesian sheep breeds has been revealed in three different genotypes which are further implied that different levels of feeding and management are necessary to realize the potential benefits for each genotype . The variability in the ewe production as a result of the differences in genotype and management levels were then evaluated by economic analysis . The result shows that improvement in management practices resulted in an increase of production ofindividual breeding ewe (BS. However, since these increases in performance required additional cost for higher input value, as it was indicated in the total production cost, attention must be given toward the decision as to which genotype to raise at what level of feeding management . This study has shown promising results to facilitate the decision makers in that direction, for example, ewes with FecJFFecJ` genotype gained the highest gross margin when they were treated with high level of feeding management. The next best alternative was followed by FecJ FFecJ F genotype. Furthermore, in the situation where low level of feeding management being practiced, ewes carrying the FecJF gene did not show their superiority since they gained lower gross margin compared with the non-carrier ewes.
Pires, Ana Lúcia Lourenço
The present study intends to show the development of systems analysis model applied to solid waste management system, applied into AMARSUL, a solid waste management system responsible for the management of municipal solid waste produced in Setúbal peninsula, Portugal. The model developed intended to promote sustainable decision making, covering the four columns: technical, environmental, economic and social aspects. To develop the model an intensive literature review have been conducted. T...
Sdiri, Hanen; Ayadi, Mohamed
Innovation is widely recognised as a key driver of economic growth and competitiveness. But, some works focus especially on analyzing the determinants and the effects of innovation while distinguishing between its various types (product innovation, process innovation, radical innovation and incremental innovation). The analysis of the determinants is certainly important, but few research efforts testing the way in which firms make the decision to innovate. Based on a sample of 108 Tunisian se...
Ribeiro, Fernando, ed. lit.; Ferreira, Paula Varandas; Araújo, Maria Madalena Teixeira de
A Multi-Criteria Decision Analysis (MCDA) tool was designed to support the evaluation of different electricity production scenarios. The MCDA tool is implemented in Excel worksheet and uses information obtained from a mixed integer optimization model. Given the input, the MCDA allowed ranking different scenarios relying on their performance on 13 criteria covering economic, job market, quality of life of local populations, technical and environmental issues. The criteria were weighte...
This diploma thesis is focused on the economic analysis of the company Facebook, Inc. which is the most famous social network in the world. The first part deals with the theoretical background of social networks, economic analyses and stock analyses. There are described the basic definition, history, methods of economic analysis and types of stock analysis (fundamental, technical and psychological analysis). In the practical part are used selected methods and they are applied to the compa...
Gidlöf, Kerstin; Wallin, Annika; Holmqvist, Kenneth; Møgelvang-Hansen, Peter
Misleading information and unfair commercial practices have to be viewed against the background of what consumers otherwise do, i.e., what their purchase decisions look like when no misleading information or no unfair commercial practices are in place. This article provides some of this background by studying how consumers sample information when making an in-store purchase decision. This was done by an eye-tracking study which reveals to what extent consumers succeed in purchasing the products ...
The fundamental problem with the health care delivery system remains too little health delivered for too great a cost. Information essential to sound clinical and administrative decision making is too frequently missing at the time and place of decision. Automated systems offer opportunities both to improve health and to reduce cost through effective and efficient information management. Information systems are the enabling technology for those business practice changes which improve the bene...
Gidlöf, Kerstin; Wallin, Annika
Misleading information and unfair commercial practices have to be viewed against the background of what consumers otherwise do, i.e., what their purchase decisions look like when no misleading information or no unfair commercial practices are in place. This article provides some of this background by studying how consumers sample information when making an in-store purchase decision. This was done by an eye-tracking study which reveals to what extent consumers succeed in purchasing the products that best meet their purchase intentions when only a representative amount of misleading information is present. The study shows that decisions were suboptimal in relation to what the consumers claimed they wanted to purchase. Only in one product category did consumers in this study actually look at products that were slightly better than average, and as a result, they mainly selected products that were just as often poor as good. If the proportion of bad purchase decisions based on misleading information is small enough, perhaps it might be better to direct the authors' attention to other ways of improving the decision environments that consumers encounter. In addition, the eye-tracking study provides some insight into how consumers sample information when making an in-store purchase decision. The present data show that consumers invested on average of less than 1 s to look at products. © 2013 Springer Science+Business Media New York.
E. S. Chung
Full Text Available This study presents a new methodology not only to evaluate willingness to pays (WTPs for the improvement of hydrological vulnerability using a choice experiment (CE method but also to do a cost-benefit analysis (CBA of some feasible alternatives combing the derived WTPs with an alternative evaluation index (AEI. The hydrological vulnerability consists of potential streamflow depletion (PSD, and potential water quality deterioration (PWQD and can be quantified using a multi-criteria decision making technique and pressure-state-response (PSR framework. PSD and PWQD not only provide survey respondents with sufficient site-specific information to avoid scope sensitivity in a choice experiment but also support the standard of dividing the study watershed into six sub-regions for site-fitted management. Therefore CE was applied to six regions one after the other, in order to determine WTPs for improvements on hydrological vulnerability considering the characteristics which are vulnerability, location, and preferences with regard to management objectives. The AEI was developed to prioritize the feasible alternatives using a continuous water quantity/quality simulation model as well as multi-criteria decision making techniques. All criteria for alternative performance were selected based on a driver-pressures-state-impact-response (DPSIR framework, and their weights were estimated using an Analytic Hierarchy Process (AHP. In addition, the AEI that reflects on residents' preference with regard to management objectives was proposed in order to incite the stakeholder to participate in the decision making process. Finally, the economic values of each alternative are estimated by a newly developed method which combines the WTPs for improvements on hydrologic vulnerability with the AEI. This social-economic-engineering combined framework can provide the decision makers with more specific information as well as decrease the uncertainty of the CBA.
Full Text Available Recent research suggests that obesity is linked to prominent alterations in learning and decision-making. This general difference may also underlie the preference for immediately consumable, highly palatable but unhealthy and high-calorie foods. Such poor food-related inter-temporal decision-making can explain weight gain; however, it is not yet clear whether this deficit can be generalized to other domains of inter-temporal decision-making, for example financial decisions. Further, little is known about the stability of decision-making behavior in obesity, especially in the presence of rewarding cues. To answer these questions, obese and lean participants (n=52 completed two sessions of a novel priming paradigm including a computerized monetary delay discounting task. In the first session, general differences between groups in financial delay discounting were measured. In the second session, we tested the general stability of discounting rates. Additionally, participants were primed by affective visual cues of different contextual categories before the financial decision. We found that the obese group showed stronger discounting of future monetary rewards than the lean group, but groups did not differ in their general stability between sessions nor in their sensitivity towards changes in reward magnitude. In the obese group, a fast decrease of subjective value over time was directly related to a higher tendency for opportunistic eating. Obese in contrast to lean people were primed by the affective cues, showing a sex-specific pattern of priming direction. Our findings demonstrate that environments rich of cues, aiming at inducing unhealthy consumer decisions, can be highly detrimental for obese people. It also underscores that obesity is not merely a medical condition but has a strong cognitive component, meaning that current dietary and medical treatment strategies may fall too short.
Simmank, Jakob; Murawski, Carsten; Bode, Stefan; Horstmann, Annette
Recent research suggests that obesity is linked to prominent alterations in learning and decision-making. This general difference may also underlie the preference for immediately consumable, highly palatable but unhealthy and high-calorie foods. Such poor food-related inter-temporal decision-making can explain weight gain; however, it is not yet clear whether this deficit can be generalized to other domains of inter-temporal decision-making, for example financial decisions. Further, little is known about the stability of decision-making behavior in obesity, especially in the presence of rewarding cues. To answer these questions, obese and lean participants (n = 52) completed two sessions of a novel priming paradigm including a computerized monetary delay discounting task. In the first session, general differences between groups in financial delay discounting were measured. In the second session, we tested the general stability of discount rates. Additionally, participants were primed by affective visual cues of different contextual categories before making financial decisions. We found that the obese group showed stronger discounting of future monetary rewards than the lean group, but groups did not differ in their general stability between sessions nor in their sensitivity toward changes in reward magnitude. In the obese group, a fast decrease of subjective value over time was directly related to a higher tendency for opportunistic eating. Obese in contrast to lean people were primed by the affective cues, showing a sex-specific pattern of priming direction. Our findings demonstrate that environments rich of cues, aiming at inducing unhealthy consumer decisions, can be highly detrimental for obese people. It also underscores that obesity is not merely a medical condition but has a strong cognitive component, meaning that current dietary and medical treatment strategies may fall too short. PMID:26528158
Gidlöf, Kerstin; Wallin, Annika; Holmqvist, Kenneth; Møgelvang-Hansen, Peter
Misleading information and unfair commercial practices have to be viewed against the background of what consumers otherwise do, i.e., what their purchase decisions look like when no misleading information or no unfair commercial practices are in place. This article provides some of this backgroun...... provides some insight into how consumers sample information when making an in-store purchase decision. The present data show that consumers invested on average of less than 1 s to look at products. © 2013 Springer Science+Business Media New York....... by studying how consumers sample information when making an in-store purchase decision. This was done by an eye-tracking study which reveals to what extent consumers succeed in purchasing the products that best meet their purchase intentions when only a representative amount of misleading information...... were just as often poor as good. If the proportion of bad purchase decisions based on misleading information is small enough, perhaps it might be better to direct the authors' attention to other ways of improving the decision environments that consumers encounter. In addition, the eye-tracking study...
Lawrence Stephen R.
Full Text Available The management of bottlenecks has become a central topic in the planning and control of production systems. In this paper, we critically analyze bottlenecks from an economic perspective. Using a queueing network model, we demonstrate that bottlenecks are inevitable when there are differences in job arrival rates, processing rates, or costs of productive resources. These differences naturally lead to the creation of bottlenecks both for facilities design and demand planning problems. To evaluate bottlenecks from an economic perspective, we develop the notion of an economic bottleneck, which defines resources as bottlenecks based on economic, rather than physical, characteristics.
Despite the rich tradition in psychology and biology, animals as research subjects have never gained a similar acceptance in microeconomics research. With this article, we counter this trend of negligence and try to convey the message that animal models are an indispensible complement to the literature on human economic decision making. This perspective review departs from a description of the similarities in economic and evolutionary theories of human and animal decision making, with particu...
This work considers economic decision making, particularly scenarios in which the decision maker faces the presence of other (private) persons. It draws inferences for the design, operation, and use of e-commerce platforms from an economic and information systems perspective and is oriented along two vital concepts therein: social preferences and risk. The role of the type as well as the relation towards the reference person is explored from an empirical and game theoretical perspective.
Grossbard, Shoshana Amyra
Much of the recent literature in household economics has been critical of unitary models of household decision-making. Most alternative models currently used are bargaining models and consensual models, including collective models. This paper discusses another alternative: independent individual models of decision-making that don't make any specific assumptions of jointness of decision-making in households. Unitary models are typically associated with Gary Becker even though most of Beckers ...
Haji Ali Beigi, Maryam; Budzinski, Oliver
Event studies represent an increasingly popular method to evaluate (future) welfare effects of economic policy decisions. The basic idea is to hire the stock market as a referee, i.e. that stock market reactions to the announcement of policy decision are interpreted to contain superior information about the (future) welfare effects of these decisions. This paper investigates the degree of reliability of event studies as a policy programs evaluation method by critically reflecting upon two und...
Purucker, S.T.; Lyon, B.F. [Oak Ridge National Lab., TN (United States). Risk Analysis Section]|[Univ. of Tennessee, Knoxville, TN (United States)
Quantitative decision methods can be developed during environmental restoration projects that incorporate stakeholder input and can complement current efforts that are undertaken for data collection and alternatives evaluation during the CERCLA process. These decision-making tools can supplement current EPA guidance as well as focus on problems that arise as attempts are made to make informed decisions regarding remedial alternative selection. In examining the use of such applications, the authors discuss the use of decision analysis tools and their impact on collecting data and making environmental decisions from a risk-based perspective. They will look at the construction of objective functions for quantifying different risk-based perspective. They will look at the construction of objective functions for quantifying different risk-based decision rules that incorporate stakeholder concerns. This represents a quantitative method for implementing the Data Quality Objective (DQO) process. These objective functions can be expressed using a variety of indices to analyze problems that currently arise in the environmental field. Examples include cost, magnitude of risk, efficiency, and probability of success or failure. Based on such defined objective functions, a project can evaluate the impact of different risk and decision selection strategies on data worth and alternative selection.
By definition, economic analysis compares all benefits and costs associated with a project during its useful life. Costs include initial and recurring annual expenditures, whereas the benefits include revenues from the sale of electricity. Economic analysis of small hydro projects usually provides the basis for the final decision on whether or not to proceed with such investment. In general, the method used in the article includes the pay-back, the benefit/cost ratio, the net present value, the internal rate of return. (author). 7 tabs., 2 refs
Karjalainen, T.P.; Rossi, P. M.; Ala-aho, P.; R. Eskelinen; Reinikainen, K.; Kløve, B.; Pulido-Velazquez, M.; Yang, H.
Multi-criteria decision analysis (MCDA) methods are increasingly used to facilitate both rigorous analysis and stakeholder involvement in natural and water resource planning. Decision making in that context is often complex and multi-faceted with numerous trade-offs between social, environmental and economic impacts. However, practical applications of decision-support methods are often too technically oriented and hard to use, understand or interpret for all participants. The learning of part...
Risk based economic optimization of investment decisions of regulated power distribution system operators; Risikobasierte wirtschaftliche Optimierung von Investitionsentscheidungen regulierter Stromnetzbetreiber
The author of the contribution under consideration reports on risk-based economic optimization of investment decisions of regulated power distribution system operators. The focus is the economically rational decision behavior of operators under certain regulatory requirements. Investments in power distribution systems form the items subject to decisions. Starting from a description of theoretical and practical regulatory approaches, their financial implications are quantified at first. On this basis, optimization strategies are derived with respect to the investment behavior. For this purpose, an optimization algorithm is developed and applied to exemplary companies. Finally, effects of uncertainties in regulatory systems are investigated. In this context, Monte Carlo simulations are used in conjunction with real options analysis.
The study presented here is based on an analysis undertaken to evaluate the feasibility of establishing nuclear power plants in Israel. While the actual figures for the various sensitivity tests are somewhat disguised because of the sensitivity of the topic, the relative impact of moving from one assumption to another is presented and analysed. A matrix of qualitative results has been formulated for this analysis and, once these relationships have been established qualitatively, subjective weights have been applied to the various assumptions of the three most relevant parameters, the deviations from the most probable coal price, discount rate and level of investment. The analysis evaluates the impact of these weights on the decision as to whether the project prospects are most favourable, are of marginal value, or should be rejected. The significance of this analysis is its demonstration of the major role to be played by the economic planner within each country, and his responsibility to provide macro-economic guidelines for evaluating major infrastructural undertakings such as energy projects
Full Text Available The article proves the relevance of the application of methods of decision-making on the basis of economic-mathematical modeling. It is shown, that application of economic and mathematical methods allows to considerably enhance the quality of strategic, tactical and current planning, to receive the additional effect without the involvement in the process of additional resources.
This compendium is intended to be a tool for students in conducting socio-economic appraisals in the transport sector following the recommendations made by the Danish Manual for Socio-economic Appraisal (DMT, 2003). The appraisal process is in this compendium outlined as a step-by-step process which is adaptable to all types of infrastructure related problems, and which can be used for decision support on both the administrative as well as the political level. In the administrative decision process the socio-economic analysis provides a foundation for a systematic examination of which project types or initiatives that are socio-economically most suitable for handling a specific infrastructure problem. Hence, the socio-economic appraisal can help undertaking a sound selection of the possible solutions that should be examined in further details. The socio-economic analysis is as well an important element in the political decision process. The analysis provides information about how the societys resources from an economic viewpoint are used in the best possible way, and how costs and benefits are distributed between e.g. the state, the users and the environment. The society does not have unlimited economic resources. Thus it is necessary to prioritise between the many projects and initiatives which are being discussed in the public sector. In order to conduct such a comprehensive prioritisation (across different sectors or within the same sector) it is a precondition that a systematic evaluation of the projects/proposals/initiatives advantages and disadvantages is carried out. For many years cost-benefit analysis (CBA) has been used as the main tool for the purpose of economic comparison not only in Denmark but also in many other countries around the world. Investment projects that have been prepared thoroughly and evaluated to have a high socio-economic return seem to be able to obtain political acceptance more easily than projects that have not been evaluated through this type of assessment. On the other hand socio-economic assessments can also be used to turn down projects that do not show a satisfactory return. In the political prioritisation process other considerations of a political, environmental or economic character may influence the decision making. Some of these are not traditionally a part of the socioeconomic assessment, but are instead used as a supplement in the final decision phase. The socioeconomic assessment strives towards valuing all advantages and disadvantages of a project. On the background of this the projects value for the society is calculated. This value can afterwards be compared to the values for other projects. The socio-economic appraisal is one of the most basic and tangible contributions to the planning and decision process within the transport sector when an initiatives advantages and disadvantages are to be evaluated. The appraisal can be used both for political decision making as well as internally in organisations with planning related tasks.
Within Dutch agriculture, greenhouse horticulture stands out as a growing and innovative sector. In such circumstances of growth and innovation, one would expect a fast development of management support systems. However, apart from climate control, the role of computerized support systems for management purposes (planning/evaluation) is still very limited. The purpose of this study is get insight into the decision-making processes of greenhouse growers. A group of 26 specialized, comparable c...
Curtis, Panayiotis G.; Kokotos, Dimitris X.
The reasons for the deficient performance of Ionian Islands tourism in terms of in coming revenues expressed in USD and return on equity capital invested on hotels is explored. The answers to the questioner of management of the hotels surveyed were analyzed with the use of the Decision Tree tool. The issue of competitiveness of the tourism product was assessed. The development of alternative forms of tourism is proposed as a means of improving competitiveness and restoring sustainability in t...
A method of estimating the economic efficiency of installations for neutron-activation analysis is described. The principal indices of economic efficiency of such installations are considered to be change in the extraction coefficient of main product; change in reagent consumption; and costs of analysis of unit product. The capital investments are calculated on the installation, reduced costs, and period during which capital investments are compensated. Calculations show the use of the activation analysis installation in various branches of the Soviet industry to be economically efficient. The examples of considerable economic effect obtained from using a set of automatic devices for measuring boron concentration are given
De Neys, Wim; Novitski Nikolai, Kolja; Geeraerts, Leen; Ramautar, Jennifer; Wagemans, Johan
Much publicity has been given to the fact that people's economic decisions often deviate from the rational predictions of standard economic models. In the classic ultimatum game, for example, most people turn down financial gains by rejecting unequal monetary splits. The present study points to neglected individual differences in this debate. After participants played the ultimatum game we tested for individual differences in cognitive control capacity of the most and least economic responder...
Despite financial and regulatory pressures that have led electric utilities to slow construction and minimize capital expenditures, Carolina Power and Light Company is proceeding with two new nuclear and two new coal facilities because it believes the commitment to expand must be made in the 1980s. The economic slowdown has given utilities a breathing period, but not enough to allow a complete stop in expansion if the utilities are to be ready for the expected economic growth of the 1990s. Financing this expansion is a slower process for regulated industries and leads to strained relations between customers and suppliers. The two can work together to promote conservation and load management, but higher rates must finance new construction to avoid a shortfall later. The costs of environmentally sound coal combustion and nuclear plant construction must both be reduced to help keep the recovery from being inflationary
Full Text Available The reasons for the deficient performance of Ionian Islands tourism in terms of in coming revenues expressed in USD and return on equity capital invested on hotels is explored. The answers to the questioner of management of the hotels surveyed were analyzed with the use of the Decision Tree tool. The issue of competitiveness of the tourism product was assessed. The development of alternative forms of tourism is proposed as a means of improving competitiveness and restoring sustainability in the sector.
This editorial accompanies a research article being published by Clinical Medical Research and Opinion (CMRO) journal, entitled "Methods applied in cost-effectiveness models for treatment strategies in type 2 diabetes mellitus and their use in Health Technology Assessments: a systematic review of the literature from 2008 to 2013". The importance and the contribution of this research to the scientific community are presented on the grounds of serving the decision-making process of evaluating and approving T2DM treatments for public funding. PMID:26473453
1 Introduction The most common methodology applied so far to the evaluation of transport systems has been conventional cost-benefit analysis (CBA) (Janic, 2003), which supported by traffic- and impact model calculations provides the decision-makers with a monetary assessment of the projects feasibility. A socioeconomic analysis is in this respect a further development of the traditional CBA capturing the economic value of social benefits by translating social objectives into financial measures of benefits (Wright et al.,2009). Internationally seen there has been a growing awareness over the recent years that besides the social costs and benefits associated with transport other impacts that are more difficult to monetise should also have influence on the decision making process. This is in many developed countries realised in the transport planning, which takes into account a wide range of impacts of also a strategic character (van Exel et al., 2002). Accordingly, appraisal methodologies are undergoing substantial changes in order to deal with the developments (Vickerman, 2000) that are varying from country to country and leading to different approaches (Banister and Berechman, 2000). It is, however, commonly agreed that the final decision making concerning transport infrastructure projects in many cases will depend on other aspects besides the monetary ones assessed in a socio-economic analysis. Nevertheless, an assessment framework such as the Danish one (DMT, 2003) does not provide any specific guidelines on how to include the strategic impacts; it merely suggests describing the impacts verbally and keeping them in mind during the decision process. A coherent, well-structured, flexible, straight forward evaluation method, taking into account all the requirements of a transport infrastructure project is for this reason required. An appropriate ex-ante evaluation method for such projects can be based on multi-criteria decision analysis (MCDA) (Tsamboulas, 2007. Vreeker et al. 2002), which in most cases canbe combined with a CBA (Leleur, 2000). Scanning the literature (Belton and Stewart, 2002; Goodwin and Wright, 2009; Keeney and Raiffa, 1993; von Winterfeldt and Edwards, 1986) it is found that the use of MCDA in the decision process usually provides some or all of the following features: 1. Improvement of the satisfaction with the decision process 2. Improvement of the quality of the decision itself 3. Increased productivity of the decision-makers MCDA can in this respect be seen as a tool for appraisal of different alternatives, when several points of view and priorities are taken into account to produce a common output. Hence, it is very useful during the formulation of a decision support system (DSS) designed to deal with complex issues. The literature on DSS is extensive, providing a sound basis for the methodologies employed and the mathematics involved. Moreover, there are numerous systems covering several disciplines, policy contexts and users needs for specific application environments (Janic, 2003; Salling et al., 2007; Tsamboulas and Mikroudis, 2006). The use of DSS for solving MCDA problems has among others been treated by Barfod (2012), Chen et al. (2008) and Larichev et al. (2002), where it is shown that a DSS can effectively support a decision making process making use of appropriate MCDA methodologies.
Harou, J. J.; Binions, O.; Erfani, T.
In the face of growing water demands, climate change and spatial and temporal water access variability, accurately assessing the economic impacts of proposed water resource management changes is useful. The objective of this project funded by UK Water Industry Research was to present and demonstrate a framework for identifying and using the ';value of water' to enable water utilities and their regulators to make better decisions. A hydro-economic model can help evaluate water management options in terms of their hydrological and economic impact at different locations throughout a catchment over time. In this talk we discuss three modes in which hydro-economic models can be implemented: evaluative, behavioral and prescriptive. In evaluation mode economic water demand and benefit functions are used to post-process water resource management model results to assess the economic impacts (over space and time) of a policy under consideration. In behavioral hydro-economic models users are represented as agents and the economics is used to help predict their actions. In prescriptive mode optimization is used to find the most economically efficient management actions such as allocation patterns or source selection. These three types of hydro-economic analysis are demonstrated on a UK watershed (Great River Ouse) that includes 97 different water abstractors from amongst the public water supply, agriculture, industry and energy plant cooling sectors. The following issues under dry and normal historical conditions were investigated: Supply/demand investment planning, societal cost of environmental flows, water market prices, and scarcity-sensitive charges for water rights. The talk discusses which hydro-economic modeling mode is used to study each of these issues and why; example results are shown and discussed. The topic of how hydro-economic models can be built and deployed effectively is covered along with how existing water utility operational and planning tools can be converted into hydro-economic models.
Vickers Andrew; Hozo Iztok; Tsalatsanis Athanasios; Djulbegovic Benjamin
Abstract Background Decision curve analysis (DCA) has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1), and analytical, deliberative process (system 2), thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. ...
This thesis determines whether the loudness war phenomenon has an effect on the success of individual songs on the Billboard Hot 100 chart. Presented theoretical part introduces this rather technical problem to economists, an insight is provided into the distribution chain of music recordings as well as into the decision-making of consumers. The key factors determining the chart position are identified following the research of existing theory and are used to create an ordinary least squares ...
Sanfey Alan G
Full Text Available Abstract Background In the growing body of literature on economic decision making, the main focus has typically been on explaining aggregate behavior, with little interest in individual differences despite considerable between-subject variability in decision responses. In this study, we were interested in asking to what degree individual differences in fundamental psychological processes can mediate economic decision-making behavior. Methods Specifically, we studied a personality dimension that may influence economic decision-making, the Behavioral Activation System, (BAS which is composed of three components: Reward Responsiveness, Drive, and Fun Seeking. In order to assess economic decision making, we utilized two commonly-used tasks, the Ultimatum Game and Dictator Game. Individual differences in BAS were measured by completion of the BIS/BAS Scales, and correlations between the BAS scales and monetary offers made in the two tasks were computed. Results We found that higher scores on BAS Drive and on BAS Reward Responsiveness were associated with a pattern of higher offers on the Ultimatum Game, lower offers on the Dictator Game, and a correspondingly larger discrepancy between Ultimatum Game and Dictator Game offers. Conclusion These findings are consistent with an interpretation that high scores on Drive and Reward Responsiveness are associated with a strategy that first seeks to maximize the likelihood of reward, and then to maximize the amount of reward. More generally, these results suggest that there are additional factors other than empathy, fairness and selfishness that contribute to strategic decision-making.
Hassan Ishaq Ibrahim
Full Text Available The study assessed gender participation and decision making role in economicactivities using data collected from 120 respondents. The results revealed thatfemale participation was frequent in crop post-harvest activities and poultrymanagement while male participation was frequent in crop pre-harvest operationsonly. Female respondents participated occasionally in home gardening, goatrearing, hair dressing and food processing. Educational level, years of experience,personal income and credit obtained significantly influenced the level of genderparticipation in economic activities. The Males always made decisions on selectionof crop variety, spending money, saving money, buying of necessities, and children's education, while females always made decision on types of food forhome consumption only. Age and income of respondents were the significantfactors that influenced the level of gender involvement in decision making.Provision of credit facilities, sensitization on the importance of womeninvolvement in decision making and mobilization of farmers to form co-operativesocieties are necessary impetus for improving women participation in economicactivities and decision making.
Exley Catherine E
Full Text Available Abstract Background The aim of this study is to develop, apply and evaluate an economics-based framework to assist commissioners in their management of finite resources for local dental services. In April 2006, Primary Care Trusts in England were charged with managing finite dental budgets for the first time, yet several independent reports have since criticised the variability in commissioning skills within these organisations. The study will explore the views of stakeholders (dentists, patients and commissioners regarding priority setting and the criteria used for decision-making and resource allocation. Two inter-related case studies will explore the dental commissioning and resource allocation processes through the application of a pragmatic economics-based framework known as Programme Budgeting and Marginal Analysis. Methods/Design The study will adopt an action research approach. Qualitative methods including semi-structured interviews, focus groups, field notes and document analysis will record the views of participants and their involvement in the research process. The first case study will be based within a Primary Care Trust where mixed methods will record the views of dentists, patients and dental commissioners on issues, priorities and processes associated with managing local dental services. A Programme Budgeting and Marginal Analysis framework will be applied to determine the potential value of economic principles to the decision-making process. A further case study will be conducted in a secondary care dental teaching hospital using the same approach. Qualitative data will be analysed using thematic analysis and managed using a framework approach. Discussion The recent announcement by government regarding the proposed abolition of Primary Care Trusts may pose challenges for the research team regarding their engagement with the research study. However, whichever commissioning organisations are responsible for resource allocation for dental services in the future; resource scarcity is highly likely to remain an issue. Wider understanding of the complexities of priority setting and resource allocation at local levels are important considerations in the development of dental commissioning processes, national oral health policy and the future new dental contract which is expected to be implemented in April 2014.
Rustichini, Aldo; DeYoung, Colin G.; Anderson, Jon; Burks, Stephen V.
Trait-based personality psychology and economics have taken different approaches to understanding individual differences, with the former emphasizing variables derived from the factor analysis of trait assessments, and the latter emphasizing variables derived from formal decision theory. In a data set on trainee truckers in a large US company, we provide a systematic initial assessment of the empirical pattern of relationships between the elements from these two approaches by comparing the pr...
This article examines student mobility in Portugal, with the aim of understanding what prompts the decision to leave, with particular emphasis upon the weight of factors associated with the on-going economic crisis. Findings from a survey of 400 Lisbon students conducted during 2014 are used to demonstrate the popularity of the idea of moving abroad after the completion of present course of study, with 35% indicating an intention to leave Portugal. Regression analysis confirms that factors as...
Tenreiro Machado, J. A.; Maria Eugénia Mata; Lopes, António M.
This paper examines modern economic growth according to the multidimensional scaling (MDS) method and state space portrait (SSP) analysis. Electing GDP per capita as the main indicator for economic growth and prosperity, the long-run perspective from 1870 to 2010 identifies the main similarities among 34 world partners modern economic growth and exemplifies the historical waving mechanics of the largest world economy, the USA. MDS reveals two main clusters among the European countries and th...
Bateman, Ian; Mace, Georgina; Fezzi, Carlo; Atkinson, Giles; Turner, Kerry
The paper seeks to contribute to the expanding literature on ecosystem service assessment by considering its integration with economic analyses of such services. Focussing upon analyses for future orientated policy and decision making, we initially consider a single period during which ecological stocks are maintained at sustainable levels. The flow of ecosystems services and their contribution to welfare bearing goods is considered and methods for valuing resultant benefits are reviewed and ...
Full Text Available Rural women are economically dependent on men especially in the developing countries. Economic dependency is the degree in which a person relies upon others to fulfilling his or her needs. This study was conducted to known the effects of economic dependency on decision making power of rural women. Rural women were economically depended on their husbands and they were not free to spend their own income on their will because of the culture and patriarchal society. The researcher found that majority of rural women were economically depend on their men and this economic dependency effect their decision making power. Mostly their husband took the decision in their family. They got money for their personal needs from their husbands. The researchers found that majority of rural women were not participating in decisions regarding family affairs and other affairs of their life due to economic dependency. The researcher found there is association between economic dependency and decision making power of women.
Coate, Stephen; Knight, Brian
This paper considers the problem of pet overpopulation. It develops a tractable dynamic model whose positive predictions square well with key features of the current U.S. market for pets. The model is used to understand, from a welfare economic perspective, the sense in which there is \\overpopulation of pets and the underlying causes of the problem. The paper also employs the model to consider what policies might be implemented to deal with the problem. A calibrated example is developed to il...
The goal of this paper is to detect the degree to which court decisions control the stringency of employment protection and investigate how such judicial discretion affects labor market performance. However, Identification difficulty arises because court decisions are volatile against economic and social conditions. This paper overcomes the endogeneity problem by exploiting the triennial judge transfer system in Japan, or the exogenous allocation of judges to prefectures. Specifically, I esti...
The goal of this paper is to detect the degree to which court decisions control the stringency of employment protection and to investigate how such judicial discretion affects labor market performance. However, identification difficulty arises because court decisions are volatile against economic and social conditions. This paper overcomes the endogeneity problem by exploiting the triennial judge transfer system in Japan, or the exogenous allocation of judges to prefectures. A key finding is ...
Traditional approaches towards determining the economic production lot (EPL) size in manufacturing applications assume deterministic demand, often at a constant rate. In this paper, an optimisation model is developed for determining the EPL size that minimises production and inventory costs of a periodic review production-inventory system under stochastic demand. Adopting such a Markov decision process approach, the states of a Markov chain represent possible states of demand. The decision of...
Buyanova Marina Eduardovna
Full Text Available In the context of the implementation of the strategy of national economy innovative development, the urgent problem consists in the development of the mechanism of commercialization of existing or newly emerging developments. On the basis of comparative analysis, the competency models of creation and commercialization of scientific and technological developments are presented. They include state, scientific and industrial as well as industrial and scientific models allocated by the following criteria: the initiator of an STD; the cooperation technique within the cluster. The advantages and disadvantages of each model are substantiated. The authors propose the technique of decision-making on the STD commercialization in the conditions of the cluster economic system formation taking into account the expansion of the participantsâ integration at the regional market. The technique consists of a few methods and is based on the construction of a âdecision treeâ; it suggests a multi-level approach and provides a review of existing problems and identifying possible risks in implementing innovation activity. For evaluating the innovative projects the authors propose the matrix of criteria for a developer and for a potential manufacturer of a scientific and technological solution. These criteria may be complemented by the implementation of specific ones during the innovative development under certain conditions.
Song, Ki Dong; Lee, M. K.; Moon, K. H.; Kim, S. S.; Lim, C. Y.; Kim, H. S
The objective of this study is to analyze how the economics of nuclear power generation are affected by the change in nuclear environmental factors and then, to suggest desirable policy directions to improve the efficiency of the use of nuclear energy resources in korea. This study focused to analyze the impact of the change in 3 major nuclear environmental factors in Korea on the economics of nuclear power generation. To do this, environmental external cost, nuclear R and fund, and carbon emission control according to UNFCCC were selected as the major factors. First of all, this study evaluated the impacts on the health and the environment of air pollutants emitted from coal power plant and nuclear power plant, two major electric power generating options in Korea. Then, the environmental external costs of those two options were estimated by transforming the health and environmental impact in to monetary values. To do this, AIRPACTS and 'Impacts of atmospheric release' model developed by IAEA were used. Secondly, the impact of nuclear R and D fund raised by the utility on the increment of nuclear power generating cost was evaluated. Then, the desirable size of the fund in Korea was suggested by taking into consideration the case of Japan. This study also analyzed the influences of the fund on the economics of nuclear power generation. Finally, the role of nuclear power under the carbon emission regulation was analyzed. To do this, the econometric model was developed and the impact of the regulation on the national economy was estimated. Further efforts were made to estimate the role by developing CGE model in order to improve the reliability of the results from the econometric model.
Full Text Available Investigation into the neural and computational bases of decision-making has proceeded in two parallel but distinct streams. Perceptual decision making (PDM is concerned with how observers detect, discriminate and categorise noisy sensory information. Economic decision making (EDM explores how options are selected on the basis of their reinforcement history. Traditionally, the subfields of PDM and EDM have employed different paradigms, proposed different mechanistic models, explored different brain regions, disagreed about whether decisions approach optimality. Nevertheless, we argue that there is a common framework for understanding decisions made in both domains, under which an agent has to combine sensory information (what is the stimulus with value information (what is it worth. We review computational models of the decision process typically used in PDM, based around the idea that decisions involve a serial integration of evidence, and assess their applicability to decisions between good and gambles. Subsequently, we consider the contribution of three key brain regions the parietal cortex, the basal ganglia, and the orbitofrontal cortex to perceptual and economic decision-making, with a focus on the mechanisms by which sensory and reward information are integrated during choice. We find that although the parietal cortex is often implicated in the integration of sensory evidence, there is evidence for its role in encoding the expected value of a decision. Similarly, although much research has emphasised the role of the striatum and orbitofrontal cortex in value-guided choices, they may play an important role in categorisation of perceptual information. In conclusion, we consider how findings from the two fields might be brought together, in order to move towards a general framework for understanding decision-making in humans and other primates.
Hassan Ishaq Ibrahim
Full Text Available The study assessed gender participation and decision making role in economic activities using data collected from 120 respondents. The results revealed that female participation was frequent in crop post-harvest activities and poultry management while male participation was frequent in crop pre-harvest operations only. Female respondents participated occasionally in home gardening, goat rearing, hair dressing and food processing. Educational level, years of experience, personal income and credit obtained significantly influenced the level of gender participation in economic activities. The Males always made decisions on selection of crop variety, spending money, saving money, buying of necessities, and childrens education, while females always made decision on types of food for home consumption only. Age and income of respondents were the significant factors that influenced the level of gender involvement in decision making. Provision of credit facilities, sensitization on the importance of women involvement in decision making and mobilization of farmers to form co-operative societies are necessary impetus for improving women participation in economic activities and decision making.
This study consists of various issues as follows; electricity price regulation in the liberalized electricity market, establishment of carbon emission limit in national electricity sector, the role of nuclear power as an future energy supply option, the future prospect of CO2 capture and sequestration and current research status of that area in Korea, and Preliminary economic feasibility study of MIP(Medical Isotopes Producer). In the price regulation in the liberalized electricity market, the characteristic of liberalized electricity market in terms of regulation was discussed. The current status and future projection of GHG emission in Korean electricity sector was also investigated. After that, how to set the GHG emission limit in the national electricity sector was discussed. The characteristic of nuclear technology and the research in progress were summarized with the suggestion of the possible new application of nuclear power. The current status and future prospect of the CO2 capture and sequestration research was introduced and current research status of that area in Korea was investigated. Preliminary economic feasibility study of MIP(Medical Isotopes Producer), using liquid nuclear fuel to produce medical isotopes of Mo-99 and Sr-89, was performed
The report presents several methods for estimating the power costs of nuclear reactors. When based on a consistent set of economic assumptions, total power costs may be useful in comparing reactor alternatives. The principal items contributing to the total power costs of a nuclear power plant are: (1) capital costs, (2) fuel cycle costs, (3) operation and maintenance costs, and (4) income taxes and fixed charges. There is a large variation in capital costs and fuel expenses among different reactor types. For example, the standard once-through LWR has relatively low capital costs; however, the fuel costs may be very high if U3O8 is expensive. In contrast, the FBR has relatively high capital costs but low fuel expenses. Thus, the distribution of expenses varies significantly between these two reactors. In order to compare power costs, expenses and revenues associated with each reactor may be spread over the lifetime of the plant. A single annual cost, often called a levelized cost, may be obtained by the methods described. Levelized power costs may then be used as a basis for economic comparisons. The paper discusses each of the power cost components. An exact expression for total levelized power costs is derived. Approximate techniques of estimating power costs will be presented
Grauer, M.; Wierzbicki, A.P.
An International Workshop on Interactive Decision Analysis and Interpretative Computer Intelligence was held at IIASA in September 1983. The Workshop was motivated, firstly, by the realization that the rapid development of computers, especially microcomputers, will greatly increase the scope and capabilities of computerized decision-support systems. It is important to explore the potential of these systems for use in handling the complex technological, environmental, economic and social probl...
World life expectancy is increasing and many populations will begin to age rapidly. The impeding prevalence of a greater number of older people living longer lives will have significant social and economic implications. It is important to understand how older people make economic and social decisions. Aging can be associated with a âphenomenon of declineâ and also greater wisdom. This paper seeks to examine the relationship between wisdom and aging. It reviews and connects the behavioral scie...
Oullier, Olivier; Basso, Frédéric
To date, experiments in economics are restricted to situations in which individuals are not influenced by the physical presence of other people. In such contexts, interactions remain at an abstract level, agents guessing what another person is thinking or is about to decide based on money exchange. Physical presence and bodily signals are therefore left out of the picture. However, in real life, social interactions (involving economic decisions or not) are not solely determined by a person's ...
The objective of electricity system analysis in support of decision making is to provide comparative assessment results upon which relevant policy choices between alternative technology options and supply strategies can be based. This reference book offers analysts, planners and decision makers documented information on enhanced approaches to electricity system analysis, that can assist in achieving this objective. The book describes the main elements of comprehensive electricity system analysis and outlines an advanced integrated analysis and decision making framework for the electric power sector. Emphasis is placed on mechanisms for building consensus between interested and affected parties, and on aspects of planning that go beyond the traditional economic optimisation approach. The scope and contents of the book cover the topics to be addressed in decision making for the power sector and the process of integrating economic, social, health and environmental aspects in the comparative assessment of alternative options and strategies. The book describes and discusses overall frameworks, processes and state of the art methods and techniques available to analysts and planners for carrying out comparative assessment studies, in order to provide sound information to decision makers. This reference book is published as part of a series of technical reports and documents prepared in the framework of the inter-agency joint project (DECADES) on databases and methodologies for comparative assessment of different energy sources for electricity generation. The overall objective of the DECADES project is to enhance capabilities for incorporating economic, social, health and environmental issues in the comparative assessment of electricity generation options and strategies in the process of decision making for the power sector. The project, established in 1992, is carried out jointly by the European Commission (EC), the Economic and Social Commission for Asia and the Pacific (ESCAP), the International Atomic Energy Agency (IAEA), the International Bank for Reconstruction and Development (IBRD/World Bank), the International Institute for Applied Systems Analysis (IIASA), the Nuclear Energy Agency of the OECD (OECD/NEA), the Organization of Petroleum Exporting Countries (OPEC), the United Nations Industrial Development Organization (UNIDO) and the World Meteorological Organization (WMO). The main elements and achievements of the DECADES project are described in the different chapters of this book. Additional details are provided in the chapter references and in the bibliography. The Joint Steering Committee for the DECADES project hopes that this book will contribute to the process of strengthening and improving capabilities for the design and implementation of sustainable strategies in the power sector, in particular in developing countries and countries in transition to market economies. The reference book has been prepared with the assistance of many contributors, coming from national and international organizations active in the field of electricity system analysis. The initial drafting of the different chapters and annexes was carried out by highly qualified experts (see the list of contributors to preparation, drafting and review) who served as leading or contributing authors, drawing from their experience and know-how on the subject matter. The draft chapters prepared by the lead authors and contributors were harmonised and technically edited jointly by staff members of: the IAEA Planning and Economic Studies Section, the Nuclear Development Division of the OECD Nuclear Energy Agency, and the Industry and Energy Department of the World Bank (IBRD)
Woo, J.T.; Uckan, N.A.; Lidsky, L.M.
In order to establish the economic potential of the Elmo Bumpy Torus (EBT) reactor, two independent system-costing models have been developed. Both models predict capital costs of approximately $400/kW(th). These relatively low costs reflect the simplicity of the EBTR design. In particular, the modular nature of the individual blanket-shield segments, the low costs ''accelerator style'' containment building, high beta, and steady-state operation lead to relatively low reactor costs. A detailed cost breakdown for subsystems is analyzed. High cost and high uncertainty subsystems are identified to direct further emphasis into those areas. The calculated capital costs for the EBT reactor are compared with those costs quoted for tokamak reactors.
Khan, Md Mohib-Ul-Haque; Jain, Siddharth; Vaezi, Mahdi; Kumar, Amit
Economic competitiveness is one of the key factors in making decisions towards the development of waste conversion facilities and devising a sustainable waste management strategy. The goal of this study is to develop a framework, as well as to develop and demonstrate a comprehensive techno-economic model to help county and municipal decision makers in establishing waste conversion facilities. The user-friendly data-intensive model, called the FUNdamental ENgineering PrinciplEs-based ModeL for Estimation of Cost of Energy and Fuels from MSW (FUNNEL-Cost-MSW), compares nine different waste management scenarios, including landfilling and composting, in terms of economic parameters such as gate fees and return on investment. In addition, a geographic information system (GIS) model was developed to determine suitable locations for waste conversion facilities and landfill sites based on integration of environmental, social, and economic factors. Finally, a case study on Parkland County and its surrounding counties in the province of Alberta, Canada, was conducted and a sensitivity analysis was performed to assess the influence of the key technical and economic parameters on the calculated results. PMID:26496882
In the paper, some classical and recent approaches to cluster analysis are discussed. Over the last decades researchers focused mainly on categorical data clustering, uncertainty in cluster analysis and clustering large data sets. In this paper some of the recently proposed techniques are introduced, such as similarity measures for data files with nominal variables, algorithms which include uncertainty in clustering, and the method for data files with many objects.
Full Text Available In the paper, some classical and recent approaches to cluster analysis are discussed. Over the last decades researchers focused mainly on categorical data clustering, uncertainty in cluster analysis and clustering large data sets. In this paper some of the recently proposed techniques are introduced, such as similarity measures for data files with nominal variables, algorithms which include uncertainty in clustering, and the method for data files with many objects.
In mid-November 1993, the Idaho National Engineering Laboratory (INEL) Waste Reduction Operations Complex (WROC) Manager requested that the INEL Hazardous Waste Type Manager perform a decision analysis to determine whether or not a new Hazardous Waste Storage Facility (HWSF) was needed to store INEL hazardous waste (HW). In response to this request, a team was formed to perform a decision analysis for recommending the best configuration for storage of INEL HW. Personnel who participated in the decision analysis are listed in Appendix B. The results of the analysis indicate that the existing HWSF is not the best configuration for storage of INEL HW. The analysis detailed in Appendix C concludes that the best HW storage configuration would be to modify and use a portion of the Waste Experimental Reduction Facility (WERF) Waste Storage Building (WWSB), PBF-623 (Alternative 3). This facility was constructed in 1991 to serve as a waste staging facility for WERF incineration. The modifications include an extension of the current Room 105 across the south end of the WWSB and installing heating, ventilation, and bay curbing, which would provide approximately 1,600 ft2 of isolated HW storage area. Negotiations with the State to discuss aisle space requirements along with modifications to WWSB operating procedures are also necessary. The process to begin utilizing the WWSB for HW storage includes planned closure of the HWSF, modification to the WWSB, and relocation of the HW inventory. The cost to modify the WWSB can be funded by a reallocation of funding currently identified to correct HWSF deficiencies
Haakonsen, Harry O., Ed.; Schaefer, Larry, Ed.
Included in this set of materials are two units: (1) Introduction to Land Use Decision Making Kit, and (2) Economics of Land Use. Each unit includes student guide sheets, reference material, and tape script. A set of 35mm slides and audiotapes are usually used with the materials. The introductory unit provides an overview of land use and suggested
Sanfey, Alan G.; Rilling, James K.; Aronson, Jessica A.; Nystrom, Leigh E.; Cohen, Jonathan D.
The nascent field of neuroeconomics seeks to ground economic decision- making in the biological substrate of the brain. We used functional magnetic resonance imaging of Ultimatum Game players to investigate neural substrates of cognitive and emotional processes involved in economic decision-making. In this game, two players split a sum of money; one player proposes a division and the other can accept or reject this. We scanned players as they responded to fair and unfair proposals. Unfair offers elicited activity in brain areas related to both emotion (anterior insula) and cognition (dorsolateral prefrontal cortex). Further, significantly heightened activity in anterior insula for rejected unfair offers suggests an important role for emotions in decision-making.
Full Text Available Maureen Reni Courtney,1 Christy Spivey,2 Kathy M Daniel1 1College of Nursing, 2College of Business, University of Texas at Arlington, Arlington, TX, USA Abstract: Clinicians are committed to effectively educating patients and helping them to make sound decisions concerning their own health care. However, how do clinicians determine what is effective education? How do they present information clearly and in a manner that patients understand and can use to make informed decisions? Behavioral economics (BE is a subfield of economics that can assist clinicians to better understand how individuals actually make decisions. BE research can help guide interactions with patients so that information is presented and discussed in a more deliberate and impactful way. We can be more effective providers of care when we understand the factors that influence how our patients make decisions, factors of which we may have been largely unaware. BE research that focuses on health care and medical decision making is becoming more widely known, and what has been reported suggests that BE interventions can be effective in the medical realm. The purpose of this article is to provide clinicians with an overview of BE decision science and derived practice strategies to promote more effective behavior change in patients.Keywords: nursing, message framing, defaults, incentives, social norms, commitment devices, health care
Full Text Available World life expectancy is increasing and many populations will begin to age rapidly. The impeding prevalence of a greater number of older people living longer lives will have significant social and economic implications. It is important to understand how older people make economic and social decisions. Aging can be associated with a âphenomenon of declineâ and also greater wisdom. This paper seeks to examine the relationship between wisdom and aging. It reviews and connects the behavioral sciences and neuroscience literature on age differences in the following social and economic decision making domains that represent subcomponents of wisdom: 1 prosocial behavior in experimental economic games and competitive situations, 2 resolving social conflicts, 3 emotional homeostasis, 4 self-reflection, 5 dealing effectively with uncertainty in the domains of risk, ambiguity and intertemporal choice. Overall, we find a lack of research into how older people make economic and social decisions. There is, however, some evidence that older adults outperform young adults on certain subcomponents of wisdom, but the exact relationship between old age and each subcomponent remains unclear. A better understanding of these relationships holds the potential to alleviate a wide range of mental health problems, and has broad implications for social policies aimed at the elderly.
This study deals with current energy issues, environmental aspects of energy, project feasibility evaluation, and activities of international organizations. Current energy issues including activities related with UNFCCC, sustainable development, and global concern on energy issues were surveyed with focusing on nuclear related activities. Environmental aspects of energy includes various topics such as, inter- industrial analysis of nuclear sector, the role of nuclear power in mitigating GHG emission, carbon capture and sequestration technology, hydrogen production by using nuclear energy, Life Cycle Analysis as a method of evaluating environmental impacts of a technology, and spent fuel management in the case of introducing fast reactor and/or accelerator driven system. Project feasibility evaluation includes nuclear desalination using SMART reactor, and introduction of COMFAR computer model, developed by UNIDO to carry out feasibility analysis in terms of business attitude. Activities of international organizations includes energy planning activities of IAEA and OECD/NEA, introduction of the activities of FNCA, one of the cooperation mechanism among Asian countries. In addition, MESSAGE computer model was also introduced. The model is being developed by IAEA to effectively handle liberalization of electricity market combined with environmental constraints
J. A. Tenreiro Machado
Full Text Available This paper examines modern economic growth according to the multidimensional scaling (MDS method and state space portrait (SSP analysis. Electing GDP per capita as the main indicator for economic growth and prosperity, the long-run perspective from 1870 to 2010 identifies the main similarities among 34 world partners modern economic growth and exemplifies the historical waving mechanics of the largest world economy, the USA. MDS reveals two main clusters among the European countries and their old offshore territories, and SSP identifies the Great Depression as a mild challenge to the American global performance, when compared to the Second World War and the 2008 crisis.
Sicuri, Elisa; Evans, D. B.; Tediosi, F
BACKGROUND: Infectious diseases elimination and eradication have become important areas of focus for global health and countries. Due to the substantial up-front investments required to eliminate and eradicate, and the overall shortage of resources for health, economic analysis can inform decision making on whether elimination/eradication makes economic sense and on the costs and ...
Zuniga, Gloria L.
Much like phenomenology, the philosophical movement of economic personalism has preceded its complete and clear awareness of itself as a philosophical position. This paper attempts to articulate what exactly this position is by employing realist phenomenology as its analytical tool. The organization of this paper consists of three parts. The first is a linguistic analysis of the names 'economics' and 'personalism' that attempts to arrive at a joint meaning of these terms. The second is a regr...
This study identified the role of nuclear energy in the following three major aspects. First of all, this study carried out cost effectiveness of nuclear as a CDM technology, which is one of means of GHG emission reduction in UNFCCC. Secondly, environmental externalities caused by air pollutants emitted by power options were estimated. The 'observed market behaviour' method and 'responses to hypothetical market' method were used to estimate objectively the environmental external costs by electric source, respectively. Finally, the role of nuclear power in securing electricity supply in a liberalized electricity market was analyzed. This study made efforts to investigate whether nuclear power generation with high investment cost could be favored in a liberalized market by using 'option value' analysis of investments
Song, Ki Dong; Lee, M. K.; Moon, K. H.; Kim, S. S.; Lim, C. Y.; Kim, H. S
This study identified the role of nuclear energy in the following three major aspects. First of all, this study carried out cost effectiveness of nuclear as a CDM technology, which is one of means of GHG emission reduction in UNFCCC. Secondly, environmental externalities caused by air pollutants emitted by power options were estimated. The 'observed market behaviour' method and 'responses to hypothetical market' method were used to estimate objectively the environmental external costs by electric source, respectively. Finally, the role of nuclear power in securing electricity supply in a liberalized electricity market was analyzed. This study made efforts to investigate whether nuclear power generation with high investment cost could be favored in a liberalized market by using 'option value' analysis of investments.
Decision making under uncertainty is a difficult task in most areas. Investment decisions for combined heat and power production (CHP) are certainly one of the areas where it is difficult to find an optimal solution since the payback period is several years and parameters change due to different perturbing factors of economic and mostly political nature. CHP is one of the most effective measures for saving primary energy and reduction of greenhouse gas emissions. The implementation of EU directives on the promotion of cogeneration based on useful heat demand in the internal energy market will accelerate CHP installation. The expected number of small CHP installations will be very high in the near future. A quick, reliable and simple tool for economic evaluation of small CHP systems is required. Since evaluation is normally made by sophisticated economic computer models which are rather expensive, a simple point estimate economic model was developed which was later upgraded by risk methodology to give more informative results for better decision making. This paper presents a reliable computer model entitled ''Computer program for economic evaluation analysis of CHP'' as a tool for analysis and economic evaluation of small CHP systems with the aim of helping the decision maker. The paper describes two methods for calculation of the sensitivity of the economic results to changes of input parameters and the uncertainty of the results: the classic/static method and the risk method. The computer program uses risk methodology by applying rate at RISK software on an existing conventional economic model. The use of risk methodology for economic evaluation can improve decisions by incorporating all possible information (knowledge), which cannot be done in the conventional economic model due to its limitations. The methodology was tested on the case of a CHP used in a smaller hospital. (author)
This review examines two important works in decision analysis: Howard and Matheson's The Principles and Applications of Decision Analysis, and Winterfeldt and Edwards's "Decision Analysis and Behavioral Research.
Vita, M G; Langenfeld, J; Pautler, P; Miller, L
The Federal Trade Commission (FTC or Commission) has been very active in enforcing antitrust laws in the health care field for the past two decades. The staff has investigated a wide variety of cases covering a broad range of restrictions on competition. These cases can be divided into three basic types of cases in health care: (1) mergers and acquisitions, (2) horizontal restraints cases or agreements among competitors, and (3) input market monopolization cases, such as hospital privileges cases. The Commission relies on both legal and economic analysis in all of these cases. As Chairman Steiger of the Federal Trade Commission has stated, antitrust policy has been "increasingly reshaped by analysis based on economic theory." This article attempts to explain the economic analysis used in antitrust enforcement as applied to the first two of the three types of health care cases. Section I presents the basic economic framework that is used to assess the competitive implications of health care mergers and acquisitions. Section II describes the analysis applied to other agreements among competitors in the health care field and briefly explains how this analysis differs in other health care cases. PMID:10111250
Xiong, Ning [Maelardalen Univ., Vaesteraas (Sweden). School of Innovation, Design and Engineering
This paper proposes a novel approach for integrating case-based reasoning (CBR) and decision theory for casebased decision analysis. CBR is employed as a methodology to reason from previous cases for building a decision model given a current situation, while decision theory is applied to the decision model learnt from previous cases to identify the most promising, secured, and rational choices. We have also tackled the issue of imprecise utility in individual cases and explained how fuzzy decision analysis can be conducted when case specific utilities are represented with fuzzy data. (orig.)
Recent economics literature has devoted attention towards motives beyond the typical selfish norm for economic decision-making. Yet, it still remains a puzzle who allows such considerations to govern their behavior. This paper contributes by empirically identifying some features which differentiate individuals who choose to bear the cost of ethically guided economic decision-making from others. Using unique Swedish data on individual pension portfolio choices, we find that education, the choi...
The two-volume report describes the development of, and provides information needed to operate, a prototype Economic Growth Analysis System (E-GAS) modeling system. The model will be used to project emissions inventories of volatile organic compounds (VOCs), oxides of nitrogen (...
The two-volume report describes the development of, and provides information needed to operate, a prototype Economic Growth Analysis System (E-GAS) modeling system. The model will be used to project emissions inventories of volatile organic compounds (VOCs), oxides of nitrogen (...
Hardin, D. M.; Keiser, K.; Graves, S. J.; Conover, H.; Ebersole, S.
Since the year 2000, Eastern Louisiana, coastal Mississippi, Alabama, and the western Florida panhandle have been affected by 28 tropical storms, seven of which were hurricanes. These tropical cyclones have significantly altered normal coastal processes and characteristics in the Gulf region through sediment disturbance. Although tides, seasonality, and agricultural development influence suspended sediment and sediment deposition over periods of time, tropical storm activity has the capability of moving the largest sediment loads in the shortest periods of time for coastal areas. The importance of sediments upon water quality, coastal erosion, habitats and nutrients has made their study and monitoring vital to decision makers in the region. Currently agencies such as United States Army Corps of Engineers (USACE), NASA, and Geological Survey of Alabama (GSA) are employing a variety of in-situ and airborne based measurements to assess and monitor sediment loading and deposition. These methods provide highly accurate information but are limited in geographic range, are not continuous over a region and, in the case of airborne LIDAR are expensive and do not recur on a regular basis. Multi-temporal and multi-spectral satellite imagery that shows tropical-storm-induced suspended sediment and storm-surge sediment deposits can provide decision makers with immediate and long-term information about the impacts of tropical storms and hurricanes. It can also be valuable for those conducting research and for projects related to coastal issues such as recovery, planning, management, and mitigation. The recently awarded Sediment Analysis Network for Decision Support will generate decision support products using NASA satellite observations from MODIS, Landsat and SeaWiFS instruments to support resource management, planning, and decision making activities in the Gulf of Mexico. Specifically, SANDS will generate decision support products that address the impacts of tropical storms and hurricanes on sediment disturbance, suspension, transport, and deposition in the north central Gulf of Mexico. At least five end user organizations plus the UAHuntsvilles Information Technology and Systems Center and the Geological Survey of Alabama project team, will use the products to improve measurements of water quality (Dauphin Island Sea Lab); assess sedimentation during storm events and its impact on critical coastal habitats (Alabama Department of Conservation); assess sedimentation versus sea level rise in natural marshes (Department of the Interior); and improve understanding of the impact of sediment and sediment deposits on water quality, living resources, and habitats of the estuarine environment (Mobile Bay National Estuary Program); and assess storm surge effects on coastal ecosystems (NOAA Center for Coastal Ocean Research). The products will be managed and accessed through the SANDS Portal, an on-line data repository with a user interface customized to provide data and information for specific storm events. By making multi-spectral satellite products available for multiple common storm events, SANDS will provide end users the opportunity to better analyze, detect, and identify compositions and patterns of suspended sediment and sediment deposits.
This study was done to examine the economics of coffee production in Nigeria and aimed to determine parameters for revitalizing coffee production. Data from one hundred and fifty respondents were selected by stratified and purposive techniques from the Nigerian states of Kogi and Ogun. Data were analyzed using a descriptive statistic regression analysis and a gross margin analysis. The gross margin profit from coffee farming was below the minimum requirement for a basic livelihood in Nigeria....
P.J. Sebei; C.M.E. McCrindle; Webb, E.C.
The economic impact of different extension messages used was calculated using enterprise budgeting (gross margin analysis). Input data were gleaned from the literature, from participatory appraisals, as well as a field study, spanning 12 months, of small-scalecommunal goat farming systems in Jericho in the Odi District of NorthWest Province. The number of offspring weaned per annum, as a proportion of does owned, was selected as the desired output for analysis. This study has shown that small...
Blake, David; Boardman, Tom
This paper examines how behavioural economics can be used to improve the expenditure decisions of retirees. It identifies how accumulated assets can be used optimally throughout retirement to produce life-long income when required, to make provision for contingencies such as unanticipated spikes in expenditure and to optimize the size and timing of bequests. We do this using a SPEEDOMETER (or Spending Optimally Throughout Retirement) retirement expenditure plan which employs defaults with...
Lusardi, Annamaria; Mitchell, Olivia S.
This paper explores who is financially literate, whether people accurately perceive their own economic decision-making skills, and where these skills come from. Self-assessed and objective measures of financial literacy can be linked to consumers' efforts to plan for retirement in the American Life Panel, and causal relationships with retirement planning examined by exploiting information about respondent financial knowledge acquired in school. Results show that those with more advanced finan...
SigurÃ°ur Valur GuÃ°mundsson 1984
This research is on the field of decision analysis and decision making. It is a part of a larger project called âAn open access decision model for strategic planning of the Arctic regionâ (DMA). The DMA project is arranged by CORDA (Centre of Risk and Decision Analysis), a division of the School of Science and Engineering at ReykjavÃk University. Purpose â The goal of the research is to collect data for a decision model for the Arctic region and to develop a working cross-impact analysis (...
Full Text Available Despite the rich tradition in psychology and biology, animals as research subjects have never gained a similar acceptance in microeconomics research. With this article, we counter this trend of negligence and try to convey the message that animal models are an indispensible complement to the literature on human economic decision making. This perspective review departs from a description of the similarities in economic and evolutionary theories of human and animal decision making, with particular emphasis on the optimality aspect that both classes of theories have in common. In a second part, we outline that actual, empirically observed decisions often do not conform to the normative ideals of economic and ecological models, and that many of the behavioral violations found in humans can also be found in animals. In a third part, we make a case that the sense or nonsense of the behavioral violations of optimality principles in humans can best be understood from an evolutionary perspective, thus requiring animal research. Finally, we conclude with a critical discussion of the parallels and inherent differences in human and animal research.
Kalenscher, Tobias; van Wingerden, Marijn
Despite the rich tradition in psychology and biology, animals as research subjects have never gained a similar acceptance in microeconomics research. With this article, we counter this trend of negligence and try to convey the message that animal models are an indispensible complement to the literature on human economic decision making. This perspective review departs from a description of the similarities in economic and evolutionary theories of human and animal decision making, with particular emphasis on the optimality aspect that both classes of theories have in common. In a second part, we outline that actual, empirically observed decisions often do not conform to the normative ideals of economic and ecological models, and that many of the behavioral violations found in humans can also be found in animals. In a third part, we make a case that the sense or nonsense of the behavioral violations of optimality principles in humans can best be understood from an evolutionary perspective, thus requiring animal research. Finally, we conclude with a critical discussion of the parallels and inherent differences in human and animal research. PMID:21731558
This paper presents a study of the economic performance of Fission/Fusion Hybrid devices. This work takes fusion breeder cost estimates and applies methodology and cost factors used in the fission reactor programs to compare fusion breeders with Liquid Metal Fast Breeder Reactors (LMFBR). The results of the analysis indicate that the Hybrid will be in the same competitive range as proposed LMFBRs and have the potential to provide economically competitive power in a future of rising uranium prices. The sensitivity of the results to variations in key parameters is included
Traditionally, environmental decision analysis in subsurface contamination scenarios is performed using cost-benefit analysis. In this paper, we discuss some of the limitations associated with cost-benefit analysis, especially its definition of risk, its definition of cost of risk, and its poor ability to communicate risk-related information. This paper presents an integrated approach for management of contaminated ground water resources using health risk assessment and economic analysis through a multi-criteria decision analysis framework. The methodology introduces several important concepts and definitions in decision analysis related to subsurface contamination. These are the trade-off between population risk and individual risk, the trade-off between the residual risk and the cost of risk reduction, and cost-effectiveness as a justification for remediation. The proposed decision analysis framework integrates probabilistic health risk assessment into a comprehensive, yet simple, cost-based multi-criteria decision analysis framework. The methodology focuses on developing decision criteria that provide insight into the common questions of the decision-maker that involve a number of remedial alternatives. The paper then explores three potential approaches for alternative ranking, a structured explicit decision analysis, a heuristic approach of importance of the order of criteria, and a fuzzy logic approach based on fuzzy dominance and similarity analysis. Using formal alternative ranking procedures, the methodology seeks to present a structured decision analysis framework that can be applied consistently across many different and complex remediation settings. A simple numerical example is presented to demonstrate the proposed methodology. The results showed the importance of using an integrated approach for decision-making considering both costs and risks. Future work should focus on the application of the methodology to a variety of complex field conditions to better evaluate the proposed methodology
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The economic analysis of international law is the new development of international law theories in last decade. Based on existing references, this thesis intents to promote application of economic analysis of international law in China with pluralistic ways of research (for examples, political, legal and economic in order to understand the contemporary issues of international law and to have new ideas. The part I is a brief comparison between domestic and international laws from economic perspective, and then a description of applicable economic analysis for international law with an emphasis of its theoretical and practical significances. The part II is focused on Coaseâs Law & Economics as the basis of economic analysis of international law. The part III to V provide with a few examples of economic analysis of international laws, i.e. law of international economic organization, international environmental law and international humanitarian law. The conclusion is given finally.
Key words: theory of international law, economic analysis, law of international economic organization, international environmental law and international humanitarian law
RÃ©sumÃ©: Lâanalyse Ã©conomique de la loi internationale est le nouveau dÃ©veloppement des thÃ©ories de la loi internationale dans la derniÃ¨re dÃ©cennie. BasÃ© sur des rÃ©fÃ©rences existantes, cette thÃ¨se tente de promouvoir lâapplication de lâanalyse Ã©conomique de la loi internaionale en Chine avec des mÃ©thodes de recherche pluralistes(par exemple, politique, lÃ©gale et Ã©conomique afin de comprendre les problÃ¨matiques contemporains de la loi internationale et de sâen faire de nouvelles idÃ©es. La partie I procÃ¨de Ã une comparaison brÃ¨ve entre les lois domestiques et internationales sous lâangle Ã©conomique et Ã une description des analyses Ã©conomiques applicables aux lois internationales en mettant lâaccent sur leurs significations thÃ©oriques et pratiques. La partie II se concentre sur la Loi de Coase&Economie qui sert de base dâanalyse. De la partie III Ã la partie V, on trouve des exemples de lâanalyse Ã©conomique des lois internationals, par exemple, la loi internationale de lâorganisation Ã©conomique , la loi international de lâenvironnement et la loi internationale humaniste. Enfin, la conclusion est dÃ©gagÃ©e.
Mots-ClÃ©s: thÃ©orie de la loi internationale, analyse Ã©conomique, loi internationale de lâorganisation Ã©conomique, loi internationale de lâenvironnement et loi internationale humaniste
Salling, Kim Bang
The subject of this thesis is risk analysis and decision support in the context of transport infrastructure assessment. During my research I have observed a tendency in studies of assessing transport projects of overlooking the substantial amount of uncertainties within the decision making process. Even though vast amounts of money are spent upon preliminary models, environmental investigations, public hearings, etc., the resulting outcome is given by point estimates, i.e. in terms of net present values or benefit-cost rates. This thesis highlights the perspective of risks when assessing transport projects, namely by moving from point estimates to interval results. The main focus of this Ph.D. study has been to develop a valid, flexible and functional decision support tool in which risk oriented aspects of project evaluation is implemented. Throughout the study six papers have been produced laying the foundation with different case examples ranging from road, rail to air transport projects. Two major concerns in building the assessment model, CBA-DK, are to bring informed decision support to the decision-makers and to specify relevant probability distribution functions to feed into the Monte Carlo simulation, being the technique behind the quantitative risk analysis of CBA-DK. The informed decision support is dealt with by a set of resulting accumulated descending graphs (ADG) which makes it possible for decision-makers to come to terms with their risk aversion given a specific decision task. ADG depicts the decision-makers risk aversion towards a specific assessment task, i.e. by illustrating probabilities of an infeasible socio-economic rate of return. To perform informed decision support as proposed by ADG it is necessary to determine a set of suitable probability distributions. This selection process has been conducted among others by literature studies, conference and seminar attendances and substantial amount of tests within CBA-DK. Currently, the model is made up by five different distributions furtherdivided into two groups of non-parametric and parametric functions. New research proved that specifically two impacts stood out in transport project assessment, namely, travel time savings and construction costs. The final concern of this study has been the fitting of distributions, e.g. by the use of data from major databases developed in which Optimism Bias and Reference Class Forecasting are implemented. Throughout the entire research from the beginning in 2004 to this day, the modelling framework of CBA-DK has evolved and changed radically. Recently, Palisade Corporation, the developer of @RISK, issued the new version 5.0 allowing for a much greater freedom when choosing probability distributions and performing real term data fits. The perspective of this Ph.D. study presents newer and better understanding of assigning risks within assessment of transport projects.
The dramatic changes of societal complexity due to intensive interactions among agricultural, industrial, and municipal sectors have resulted in acute issues of water resources redistribution and water quality management in many river basins. Given the fact that integrated watershed management is more a political and societal than a technical challenge, there is a need for developing a compelling method leading to justify a water-based land use program in some critical regions. Adaptive watershed management is viewed as an indispensable tool nowadays for providing step-wise constructive decision support that is concerned with all related aspects of the water consumption cycle and those facilities affecting water quality and quantity temporally and spatially. Yet the greatest challenge that decision makers face today is to consider how to leverage ambiguity, paradox, and uncertainty to their competitive advantage of management policy quantitatively. This paper explores a fuzzy multicriteria evaluation method for water resources redistribution and subsequent water quality management with respect to a multipurpose channel-reservoir system--the Tseng- Wen River Basin, South Taiwan. Four fuzzy operators tailored for this fuzzy multicriteria decision analysis depict greater flexibility in representing the complexity of various possible trade-offs among management alternatives constrained by physical, economic, and technical factors essential for adaptive watershed management. The management strategies derived may enable decision makers to integrate a vast number of internal weirs, water intakes, reservoirs, drainage ditches, transfer pipelines, and wastewater treatment facilities within the basin and bring up the permitting issue for transboundary diversion from a neighboring river basin. Experience gained indicates that the use of different types of fuzzy operators is highly instructive, which also provide unique guidance collectively for achieving the overarching goals of sustainable development on a regional scale.
In the current economic context, decision making requires complex and multiple actions on the part of the policy makers, who are more challenged than in previous situations, due to the crisis that we are facing. Decision problems cannot be solved by focusing on managers own experience or intuition, but require constant adaptation of the methods used effectively in the past to new challenges. Thus, a systemic analysis and modeling of arising issues is required, resulting in the stringent use ...
Highlights: We analyzed economic aspects of pumped storage schemes in India. We analyzed various costs involved in pumped storage operation in India. We analyzed the techno-economic benefits of Kadamparai pumped storage plant. Results show pumped storage operation in India is economically justifiable. - Abstract: Pumped-hydro energy storage schemes (PHES) are developed for improving the net efficiency of the base load thermal power plants. These schemes are operated only at times of peak demand and during major power plant outages. In India, the first pumped storage plant was commissioned during 1985 and till today eleven plants with on aggregate installed capacity of 4804 MW have been in operation. However all these plants up to the year 2003 have generated energy less than the projected figures. The major reason for less output from the PHES in India, than that envisaged in the planning stage is deficit of off-peak power availability for pumping operation in almost all the regional power grids except north-eastern grid. But gradual increase in efficiency has been realized from PHES operation after introduction of the availability based tariff (ABT) in 2003. Further, the increase in peak power demand, requirement of spinning reserve, increased generation from renewable energy sources have singly and combinedly triggered the necessity for installation of more pumped storage schemes in the country. Under these circumstances, this analysis addresses the economics of pumped storage schemes in India with special reference to Kadamparai PHES. Various costs involved in pumped storage operation are analyzed in the Indian context. The case study reveals considerable techno-economic benefits obtained by more operational hours of the PHES in the state grid after 2003. The analysis and results would be useful for investors and researchers to understand the economics of Indian pumped storage schemes
...place at the Bureau of Economic Analysis at 1441 L St. NW., Washington...Analyst, Bureau of Economic Analysis, U.S. Department of Commerce...the economics profession, business, and government. This will...Director, Bureau of Economic Analysis. [FR Doc. 2013-23490...
Berry, E.A.; Hogeveen, H.; Hillerton, J.E.
Economic decisions on animal health strategies address the cost-benefit aspect along with animal welfare and public health concerns. Decision tree analysis at an individual cow level highlighted that there is little economic difference between the use of either dry cow antibiotic or an internal teat sealant in preventing a new intramammary infection in a cow free of infection in all quarters of the mammary gland at drying off. However, a potential net loss of over Â£20 per cow might occur if t...
Typically, modern economics has steered away from the analysis of sociological and psychological factors and has focused on narrow behavioural assumptions in which expectations are formed on the basis of mathematical algorithms. Blending together ideas from the social and behavioural sciences, this paper argues that the behavioural approach adopted in most economic analysis, in its neglect of sociological and psychological forces and its simplistically dichotomous categorization of behaviour ...
Full Text Available The economic impact of different extension messages used was calculated using enterprise budgeting (gross margin analysis. Input data were gleaned from the literature, from participatory appraisals, as well as a field study, spanning 12 months, of small-scalecommunal goat farming systems in Jericho in the Odi District of NorthWest Province. The number of offspring weaned per annum, as a proportion of does owned, was selected as the desired output for analysis. This study has shown that small-scale communal goat farmers are not adopting or implementing extension messages to improve production capacity. In south Africa the majority of goats are slaughtered in the informal sector. If the informal sector is to be persuaded to market goats commercially through formal channels, then knowledge of the economics of goat farming on communal lands should be provided. The economic aspects of extension messages are probably an important factor in determining acceptance and sustainability yet appear to be seldom investigated. The probable reason for lack of adoption of standard extension messages, which promote improved nutrition, parasite control, vaccination and treatment of goats, was economic. In other words, the so-called 'poor management practices' used by communal farmers appeared to be economically more profitable than the 'good management practices' suggested to increase production. The price of communal goats was not related to their mass. A higher level of inputs would probably have resulted in a heavier kid, however it was established that this would not have influenced the price received as a majority of the goats were slaughtered for ritual purposes where age, colour and sex were more important to the purchaser than body mass. It is standard practice in commercial farming systems to evaluate the economic benefits of all management practices before they are implemented. Production animal veterinarians use veterinary economics to compare different scenarios to control diseases or select management practices in commercial herds. It is suggested that the inputs and outputs of small-scale farming systems should be carefully analysed and that veterinary economics should also be used to evaluate the probable impact of extension messages formulated by veterinarians and animal health technicians.
Sebel, P J; McCrindle, C M E; Webb, E C
The economic impact of different extension messages used was calculated using enterprise budgeting (gross margin analysis). Input data were gleaned from the literature, from participatory appraisals, as well as a field study, spanning 12 months, of small-scale communal goat farming systems in Jericho in the Odi District of North West Province. The number of offspring weaned per annum, as a proportion of does owned, was selected as the desired output for analysis. This study has shown that small-scale communal goat farmers are not adopting or implementing extension messages to improve production capacity. In South Africa the majority of goats are slaughtered in the informal sector. If the informal sector is to be persuaded to market goats commercially through formal channels, then knowledge of the economics of goat farming on communal lands should be provided. The economic aspects of extension messages are probably an important factor in determining acceptance and sustainability yet appear to be seldom investigated. The probable reason for lack of adoption of standard extension messages, which promote improved nutrition, parasite control, vaccination and treatment of goats, was economic. In other words, the so-called 'poor management practices' used by communal farmers appeared to be economically more profitable than the 'good management practices' suggested to increase production. The price of communal goats was not related to their mass. A higher level of inputs would probably have resulted in a heavier kid, however it was established that this would not have influenced the price received as a majority of the goats were slaughtered for ritual purposes where age, colour and sex were more important to the purchaser than body mass. It is standard practice in commercial farming systems to evaluate the economic benefits of all management practices before they are implemented. Production animal veterinarians use veterinary economics to compare different scenarios to control diseases or select management practices in commercial herds. It is suggested that the inputs and outputs of small-scale farming systems should be carefully analysed and that veterinary economics should also be used to evaluate the probable impact of extension messages formulated by veterinarians and animal health technicians. PMID:15214690
Harlé, Katia M; Sanfey, Alan G
Recent research in neuroeconomics suggests that social economic decision-making may be best understood as a dual-systems process, integrating the influence of deliberative and affective subsystems. However, most of this research has focused on young adults and it remains unclear whether our current models extend to healthy aging. To address this question, we investigated the behavioral and neural basis of simple economic decisions in 18 young and 20 older healthy adults. Participants made decisions which involved accepting or rejecting monetary offers from human and non-human (computer) partners in an Ultimatum Game, while undergoing functional magnetic resonance imaging (fMRI). The partners' proposals involved splitting an amount of money between the two players, and ranged from $1 to $5 (from a $10 pot). Relative to young adults, older participants expected more equitable offers and rejected moderately unfair offers ($3) to a larger extent. Imaging results revealed that, relative to young participants, older adults had higher activations in the left dorsolateral prefrontal cortex (DLPFC) when receiving unfair offers ($1-$3). Age group moderated the relationship between left DLPFC activation and acceptance rates of unfair offers. In contrast, older adults showed lower activation of bilateral anterior insula in response to unfair offers. No age group difference was observed when participants received fair ($5) offers. These findings suggest that healthy aging may be associated with a stronger reliance on computational areas subserving goal maintenance and rule shifting (DLPFC) during interactive economic decision-making. Consistent with a well-documented "positivity effect", older age may also decrease recruitment of areas involved in emotion processing and integration (anterior insula) in the face of social norm violation. PMID:22414593
The major contents in this study are as follows : - long-term forecast to the year of 2040 is provided for nuclear electricity generating capacity by means of logistic curve fitting method. - the role of nuclear power in a national economy is analyzed in terms of environmental regulation. To do so, energy-economy linked model is developed. By using this model, the benefits from the introduction of nuclear power in Korea are estimated. Study on inter-industry economic activity for nuclear industry is carried out by means of an input-output analysis. Nuclear industry is examined in terms of inducement effect of production, of value-added, and of import. - economic analysis of nuclear power generation is performed especially taking into consideration wide variations of foreign currency exchange rate. The result is expressed in levelized generating costs. (author). 27 refs., 24 tabs., 44 figs
Jahanzaib Haider; Roomana Naz Bhutta
Rural women are economically dependent on men especially in the developing countries. Economic dependency is the degree in which a person relies upon others to fulfilling his or her needs. This study was conducted to known the effects of economic dependency on decision making power of rural women. Rural women were economically depended on their husbands and they were not free to spend their own income on their will because of the culture and patriarchal society. The researcher found that majo...
Sparrevik, Magnus; Barton, David N; Bates, Mathew E; Linkov, Igor
Sustainable management of contaminated sediments requires careful prioritization of available resources and focuses on efforts to optimize decisions that consider environmental, economic, and societal aspects simultaneously. This may be achieved by combining different analytical approaches such as risk analysis (RA), life cycle analysis (LCA), multicriteria decision analysis (MCDA), and economic valuation methods. We propose the use of stochastic MCDA based on outranking algorithms to implement integrative sustainability strategies for sediment management. In this paper we use the method to select the best sediment management alternatives for the dibenzo-p-dioxin and -furan (PCDD/F) contaminated Grenland fjord in Norway. In the analysis, the benefits of health risk reductions and socio-economic benefits from removing seafood health advisories are evaluated against the detriments of remedial costs and life cycle environmental impacts. A value-plural based weighing of criteria is compared to criteria weights mimicking traditional cost-effectiveness (CEA) and cost-benefit (CBA) analyses. Capping highly contaminated areas in the inner or outer fjord is identified as the most preferable remediation alternative under all criteria schemes and the results are confirmed by a probabilistic sensitivity analysis. The proposed methodology can serve as a flexible framework for future decision support and can be a step toward more sustainable decision making for contaminated sediment management. It may be applicable to the broader field of ecosystem restoration for trade-off analysis between ecosystem services and restoration costs. PMID:22191941
MacKillop, James; Celio, Mark A; Mastroleo, Nadine R; Kahler, Christopher W; Operario, Don; Colby, Suzanne M; Barnett, Nancy P; Monti, Peter M
The discipline of behavioral economics integrates principles from psychology and economics to systematically characterize decision-making preferences. Two forms of behavioral economic decision making are of relevance to HIV risk behavior: delay discounting, reflecting preferences for immediate small rewards relative to larger delayed rewards (i.e., immediate gratification), and probability discounting, reflecting preferences for larger probabilistic rewards relative to smaller guaranteed rewards (i.e., risk sensitivity). This study examined questionnaire-based indices of both types of discounting in relation to sexual risk taking in an emergency department sample of hazardous drinkers who engage in risky sexual behavior. More impulsive delay discounting was significantly associated with increased sexual risk-taking during a drinking episode, but not general sexual risk-taking. Probability discounting was not associated with either form of sexual risk-taking. These findings implicate impulsive delay discounting with sexual risk taking during alcohol intoxication and provide further support for applying this approach to HIV risk behavior. PMID:25267115
Dadpouri, Mohammad; Nunna, Kiran
This report is the result of a master thesis with a focus on risk analysis of production location decisions. The project is a part of PROLOC-manufacturing footprint during the products life cycle. The main aim of this thesis is to point out how current applicable risk analysis techniques evaluate the risks involved in production location decisions and then underline the most important risks involved in production location decisions and elicit strengths and weaknesses of these methods.A sys...
Thomson, R.; Robinson, A.; Greenaway, J; LOWE, P.
Background: There is an increasing move towards clinical decision making that engages the patient, which has led to the development and use of decision aids to support better decisions. The treatment of patients in atrial fibrillation (AF) with warfarin to prevent stroke is a decision that is sensitive to patient preferences as shown by a previous decision analysis.
The objective of this study is to analyze the economic value and contribution to the national economy of the SMART project. This study tries to evaluate three kinds of values of the project separately; national economy contribution, the financial cost-benefit analysis and intangible social benefit of the project. The research methods are Net Present Valuation (NPT) for the first analysis, Input-Output (IO) model for the second analysis and Contingent Valuation Method(CVM) for the last analysis. This study tries to answer for the following questions: (1) how much does the project affect on Korean national economy in area of construction, electricity generation and export? (2) what is the financial cost - benefit assessment of the SMART project which is of the most interest to the private sector constructing the reactor? (3) how much is the project's intangible social gains in that it brings Korea's scientific development in area of nuclear generation and improves Korea's global standing? Main Results of Research are (1) Domestic Construction and Electricity Generation of the 1st Reactor A. Contribution to the National Economy Production inducing effect by the domestic construction and generation of the 1st reactor amounts to 1,801 ?2,059 billion won, value added inducing effect amounts to 789?919 billion won, and employment inducing effect amounts to 11,015?12, 856 men. B. Financial Cost-Benefit Assessment Financial cost - benefit of the domestic construction and generation of the 1st reactor turns out to be economically non-profitable from the point of view of private companies participating the project, by having economic loss over all scenarios of construction costs. C. Combining Financial Cost-Benefit Assessment and Contribution to the National Economy's Value-Added Combining financial cost - benefit and value added inducing effect of the domestic construction and generation of the 1st reactor turns out to be economically valid from the point of view of national economy, by having economic profit over all scenarios of construction costs. (2) Export A. Contribution to the National Economy Production inducing effect by the domestic construction and generation amounts to 899? 1,140 billion won for the 1st reactor export and to 7,324?9,287 billion won for the 10th reactor export. Value added inducing effect amounts to 339?464 billion won for the 1st reactor export and to 766?778 billion won for the 10th reactor export. Employment inducing effect amounts to 3,616?4,339 men for the 1st reactor export and to 29,471 ?35, 364 men for the 10th reactor export. B. Financial Cost-Benefit Assessment Financial cost-benefit of exporting SMART reactors turns out to be economically non-profitable for the natural gas price less than or equal to 10.23 $/MMBtu over all scenarios on exporting number of the reactors and turns out to be economically profitable for the other price level from the exporting number of 4 or 6. C. Combining Financial Cost-Benefit Assessment and Contribution to the National Economy's Value-Added Combining financial cost-benefit and value added inducing effect, exporting SMART reactors turns out to be economically profitable from the point of view of national economy for more than equal to 2nd reactor depending on the scenarios of the natural gas price. (3) Intangible Social Gains The intangible social gains of SMART Project by contributing to Korea's scientific development in area of nuclear generation and improving Korea's global standing in the science area amounts to 245?458 billion won
Full Text Available Rural modernization aims at maintaining rural societies through occupational diversification that will improvequality of life and avoid rural exodus. It aims to acquire some features of the modern world such as those related totechnical, increased productivity, infrastructure, whereby rural community enriches its identity, acquiring newmeanings.This study is a close social-economical analysis of the countryside households of Berceni village. Berceniis in the southern county of Ilfov near Bucharest. It is based on the statistical data provided by National Institute ofStatistics. The data have been processed into the following indicators:age structure and gender, births and deaths,feminization, migration .Considering that human resources is the main factor in developing and moderinization ofrural space, this study is aimed to investigate as well, the posibility of diversifying inhabitants occupationsaccording to pshicologycal, social and economical resources.
In analogy to biofuel production from biomasses, the electrolytic conversion of other renewable energies into hydrogen as an alternative clean fuel is considered. This solution allows the intermittent renewable energy sources, as photovoltaics and wind energy, to enhance their development and enlarge the role into conventional fuel market. A rough economic analysis of hydrogen production line shows the costs, added by electrolysis and storage stages, can be recovered by properly accounting for social and environmental costs due to whole cycle of conventional fuels, from production to use. So, in a perspective of attaining the economic competitiveness of renewable energy, the hydrogen, arising from intermittent renewable energy sources, will be able to compete in the energy market with conventional fuels, making sure that their substitution will occur in a significant amount and the corresponding environment
Full Text Available In modern industries, much emphasis is given to quality as it is the most effective tool which can capture, retain and enlarge customer base. The customer satisfaction is the ultimate goal of business and no other strategy can achieve it other than attaining best quality. An improvement in quality enhances customer satisfaction, taper s manufacturing costs and of course in turn, increases productivity. But in business scenario, improving quality should be considered along with the expenses associated with it. The strategy should be to achieve high Quality in a most economic way. So identifying effective methods for the analysis of economics behind quality and reduction of costs associated with achieving quality is a serious potential management problem and should be looked in to and analyzed. Economics of Quality analysis which is also termed as cost of quality or quality cost analysis has emerged as a powerful management tool for assessing the present quality level of the organization and to identify the improvement opportunities and also supports in decision making. This paper presents a study on quality cost analysis of two manufacturing units and tries to analyze the interrelationships between quality cost categories using statistical methods. The secondary data collected from the financial records of two firms under manufacturing sector is used for this analysis. The Pearson product momentum correlation coefficient between different quality cost categories provides insight to the relationships between different quality cost elements and in turn helps management to set action priorities to be addressed to achieve good quality at lower cost. The regression analysis helps the management in estimation or prediction of the unknown value of one variable from the known value of the other variable.
Nihonsugi, Tsuyoshi; Ihara, Aya; Haruno, Masahiko
The intention behind another's action and the impact of the outcome are major determinants of human economic behavior. It is poorly understood, however, whether the two systems share a core neural computation. Here, we investigated whether the two systems are causally dissociable in the brain by integrating computational modeling, functional magnetic resonance imaging, and transcranial direct current stimulation experiments in a newly developed trust game task. We show not only that right dorsolateral prefrontal cortex (DLPFC) activity is correlated with intention-based economic decisions and that ventral striatum and amygdala activity are correlated with outcome-based decisions, but also that stimulation to the DLPFC selectively enhances intention-based decisions. These findings suggest that the right DLPFC is involved in the implementation of intention-based decisions in the processing of cooperative decisions. This causal dissociation of cortical and subcortical backgrounds may indicate evolutionary and developmental differences in the two decision systems. PMID:25716841
This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests; discusses the use of decision for
BERNAL, Carlos L.
According to the theory of speech acts, speech is a kind of action. He, who says something, does something. Certainly, when a judge or a court makes a decision, he or it says something. He performs some (locutionary) acts like uttering or writing some sentences. However, there is something further he does, namely, by uttering or writing some sentences in the appropriate context, he makes a judicial decision. In a judicial decision the judge says something about the law, the facts of the case,...
Groenendaal, H.; Galligan, D. T.; Mulder, H. A.
The aim of this paper is to describe a user-friendly spreadsheet culling model that was constructed to support economical, optimal breeding and replacement decisions on dairy farms. The model was based on the marginal net revenue technique. Inputs for the model can be entered for specific farm conditions, and the output is easily accessible. In the model, the retention pay-off (RPO) value of individual dairy cows was calculated. The RPO value of a cow is equal to the total additional profits ...
Ludy A, Parada-Vargas; Alejandra, Taborda-Restrepo.
Full Text Available Objetivo: Introducir los conceptos clave sobre modelos de evaluación económica en salud como herramientas de toma de decisiones, sector donde la asignación eficiente de recursos se da en ambientes de escasez e incertidumbre. Método: Se desarrolló un análisis simplificado de los principales conceptos [...] empleados en la construcción de un modelo de evaluación económica en salud a partir de las principales referencias sobre toma de decisiones en salud de acuerdo con los portales de evaluación económica como CEA Tufts University, CRD de la Universidad de York, Medline y Pubmed. Desarrollo: Se definieron modelos en el contexto de evaluación económica en salud, necesarios en un sistema cambiante y de incertidumbre. Se analizaron los pasos para el desarrollo de un buen modelo y la estructuración de una evaluación crítica de éstos. Se finalizó con la discusión y conclusiones de la actualización de la información. Como anexo se incluye una lista de revisión para verificar la confiabilidad de los modelos que se van a realizar. Conclusión: Los modelos en evaluación económica aparecen como herramienta de toma de decisiones en salud; por esta razón, y como simplificadores de la realidad, deben ser transparentes y reproducibles de manera que todos los elementos considerados estén respaldados sistemáticamente con descripciones claras y puntuales. Abstract in english Objective: To introduce the key concepts of economic evaluation models as tools in health decision-making, a sector where the efficient allocation of resources is done in an environment of scarcity and uncertainty. Method: We developed a simplified analysis of the main concepts used in the construct [...] ion of a model of economic assessment in health from the main references on decision-making in health according to economic assessment portals such as CEA Tufts University, CRD at University of York, Medline, and Pubmed. Development: Models were defined in the context of economic assessment in health as needed in a system of ever-changing requirements and uncertainty. It discusses the steps for developing a good model and the structure for a critical evaluation of it, ending with a discussion and the conclusions of the updated information. Attached is a checklist for verifying the reliability of the models to be executed. Conclusion: Economic evaluation models develop as a tool for decision making in health; for this reason and as simplifications of reality, they must be transparent and reproducible so that all elements are considered systematically backed with clear and precise descriptions.
SÃ¸gaard, Rikke; Lindholt, Jes S.
OBJECTIVE: To investigate whether the credibility of health economic models of screening for abdominal aortic aneurysms for health policy decision-making has improved since 2005 when a systematic review by Campbell et al. concluded that reporting standards were poor and there was divergence between...... the findings of studies that was hard to explain. METHODS: A systematic literature review was carried out following PRISMA reporting principles. Health economic models of the cost-effectiveness of screening for abdominal aortic aneurysms published between 2005-2010 were included. Key characteristics...... were extracted and the models were assessed for quality against guidelines for best practice by a multidisciplinary team. RESULTS: Seven models were identified and found to provide divergent guidance. Only three reports met 10 of the 15 quality criteria. CONCLUSIONS: Researchers in the field seem to...
Silvestre, Aude; Sarlet, Marie; Huart, Johanne; Dardenne, Benoit
Can ideology, as a widespread âexpectation creator,â impact economic decisions? In two studies we investigated the influence of the Benevolent Sexism (BS) ideology (which dictates that men should provide for passive and nurtured women) on womenâs economic decision-making. In Study 1, using a Dictator Game in which women decided how to share amounts of money with men, results of a Generalized Linear Mixed Model analysis show that higher endorsement of BS and contextual expectations of benevolence were associated with more very unequal offers. Similarly, in an Ultimatum Game in which women received monetary offers from men, Study 2âs Generalized Linear Mixed Modelâs results revealed that BS led women to reject more very unequal offers. If womenâs endorsement of BS ideology and expectations of benevolence prove contrary to reality, they may strike back at men. These findings show that BS ideology creates expectations that shape male-female relationships in a way that could be prejudicial to men. PMID:26870955
Fortin, P. E.
This completed effort involved a technical and economic study of the capabilities of computer programs in the area of structural analysis. The applicability of the programs to NASA projects and to other users was studied. The applications in other industries was explored including both research and development and applied areas. The costs of several alternative analysis programs were compared. A literature search covered applicable technical literature including journals, trade publications and books. In addition to the literature search, several commercial companies that have developed computerized structural analysis programs were contacted and their technical brochures reviewed. These programs include SDRC I-DEAS, MSC/NASTRAN, SCADA, SUPERSAP, NISA/DISPLAY, STAAD-III, MICAS, GTSTRUDL, and STARS. These programs were briefly reviewed as applicable to NASA projects.
Stephen, A.; Ayers, K.W.; Boren, J.K.; Parker, F.L. [Vanderbilt Univ., Nashville, TN (United States)
Decontamination and Decommissioning activities in the DOE complex generate large volumes of radioactively contaminated and uncontaminated concrete. Currently, this concrete is usually decontaminated, the contaminated waste is disposed of in a LLW facility and the decontaminated concrete is placed in C&D landfills. A number of alternatives to this practice are available including recycling of the concrete. Cost estimates for six alternatives were developed using a spreadsheet model. The results of this analysis show that recycling alternatives are at least as economical as current practice.
Approximately 80 countries produce sugar, and fortuitously alcohol, from sugar cane. In all these countries the cogeneration technology of steam turbines is utilized, although almost always inefficient. The greater potential of cogeneration in Brazil is in sugar and alcohol sector, because of the use of sugar cane bagasse as combustible. This work applies the techniques of simulation and economic analysis to different configuration of plants, to determine power generation and associated costs of each alternative. The application of the same procedure at operating condition of several configurations in transient system permits the determination of production profile of exceeding during one day. (C.M.)
Vesselinov, Velimir V; Katzman, Danny
In contrast to many other engineering fields, the uncertainties in subsurface processes (e.g., fluid flow and contaminant transport in aquifers) and their parameters are notoriously difficult to observe, measure, and characterize. This causes severe uncertainties that need to be addressed in any decision analysis related to optimal management and remediation of groundwater contamination sites. Furthermore, decision analyses typically rely heavily on complex data analyses and/or model predictions, which are often poorly constrained as well. Recently, we have developed a model-driven decision-support framework (called MADS; http://mads.lanl.gov) for the management and remediation of subsurface contamination sites in which severe uncertainties and complex physics-based models are coupled to perform scientifically defensible decision analyses. The decision analyses are based on Information Gap Decision Theory (IGDT). We demonstrate the MADS capabilities by solving a decision problem related to optimal monitoring ...
Full Text Available Abstract Background Decision curve analysis (DCA has been proposed as an alternative method for evaluation of diagnostic tests, prediction models, and molecular markers. However, DCA is based on expected utility theory, which has been routinely violated by decision makers. Decision-making is governed by intuition (system 1, and analytical, deliberative process (system 2, thus, rational decision-making should reflect both formal principles of rationality and intuition about good decisions. We use the cognitive emotion of regret to serve as a link between systems 1 and 2 and to reformulate DCA. Methods First, we analysed a classic decision tree describing three decision alternatives: treat, do not treat, and treat or no treat based on a predictive model. We then computed the expected regret for each of these alternatives as the difference between the utility of the action taken and the utility of the action that, in retrospect, should have been taken. For any pair of strategies, we measure the difference in net expected regret. Finally, we employ the concept of acceptable regret to identify the circumstances under which a potentially wrong strategy is tolerable to a decision-maker. Results We developed a novel dual visual analog scale to describe the relationship between regret associated with "omissions" (e.g. failure to treat vs. "commissions" (e.g. treating unnecessary and decision maker's preferences as expressed in terms of threshold probability. We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA. Based on the concept of acceptable regret we identified the circumstances under which a decision maker tolerates a potentially wrong decision and expressed it in terms of probability of disease. Conclusions We present a novel method for eliciting decision maker's preferences and an alternative derivation of DCA based on regret theory. Our approach may be intuitively more appealing to a decision-maker, particularly in those clinical situations when the best management option is the one associated with the least amount of regret (e.g. diagnosis and treatment of advanced cancer, etc.
Full Text Available For the assessment of the health care system efficiency result-oriented indicators should be exploited much more actively as without specific indicators oriented to the evaluation of the patients health outcomes it is impossible to acquire reasonable evidence for the effectiveness of the functioning of the health care system that has the decisive role for further decisions in the age of the evidence-based medicine. The main groups of the treatment results indicators are clinical, economic and patient-reported outcomes (PROs, and all these groups of outcomes should be considered to make the most objective economic evaluation. This research has been determined to investigate applying of PROs as a relatively new tool in evaluation of the health care in Latvia. The results of the scientific publications review show that the positive trend in using of the PROs in Latvia is observed, but the involvement of patients in treatment process assessment is not enough active yet. The relevant problems and possible suggestions for improvement of this process are discussed in the article.
Given the broad array of environmental problems, technical alternatives, and outcomes desired by different stakeholders at Hanford, DOE will have to make difficult resource allocations over the next few decades. Although some of these allocations will be driven purely by legal requirements, almost all of the major objectives of the cleanup and economic transition missions involve choices among alternative pathways. This study examined the following questions: what risk information is needed to make good decisions at Hanford; how do those data needs compare to the set(s) of risk data that will be generated by regulatory compliance activities and various non-compliance studies that are also concerned with risk? This analysis examined the Hanford Site missions, the Hanford Strategic Plan, known stakeholder values, and the most important decisions that have to be made at Hanford to determine a minimum domain of risk information required to make good decisions that will withstand legal, political, and technical scrutiny. The primary risk categories include (1) public health, (2) occupational health and safety, (3) ecological integrity, (4) cultural-religious welfare, and (5) socio-economic welfare
Goodrich, D. C.; Brookshire, D.; Broadbent, C.; Dixon, M. D.; Brand, L. A.; Thacher, J.; Benedict, K. K.; Lansey, K. E.; Stromberg, J. C.; Stewart, S.; McIntosh, M.
Water is a critical component for sustaining both natural and human systems. Yet the value of water for sustaining ecosystem services is not well quantified in monetary terms. Ideally decisions involving water resource management would include an apples-to-apples comparison of the costs and benefits in dollars of both market and non-market goods and services - human and ecosystem. To quantify the value of non-market ecosystem services, scientifically defensible relationships must be developed that link the effect of a decision (e.g. human growth) to the change in ecosystem attributes from current conditions. It is this linkage that requires the "poly-disciplinary" coupling of knowledge and models from the behavioral, physical, and ecological sciences. In our experience another key component of making this successful linkage is development of a strong poly-disciplinary scientific team that can readily communicate complex disciplinary knowledge to non-specialists outside their own discipline. The time to build such a team that communicates well and has a strong sense of trust should not be underestimated. The research described in the presentation incorporated hydrologic, vegetation, avian, economic, and decision models into an integrated framework to determine the value of changes in ecological systems that result from changes in human water use. We developed a hydro-bio-economic framework for the San Pedro River Region in Arizona that considers groundwater, stream flow, and riparian vegetation, as well as abundance, diversity, and distribution of birds. In addition, we developed a similar framework for the Middle Rio Grande of New Mexico. There are six research components for this project: (1) decision support and scenario specification, (2) regional groundwater model, (3) the riparian vegetation model, (4) the avian model, (5) methods for displaying the information gradients in the valuation survey instruments (Choice Modeling and Contingent Valuation), and (6) the economic framework. Our modeling framework began with the identification of factors that influence spatial and temporal changes in riparian vegetation on the two rivers. The linked modeling framework was then employed for making spatial predictions of the changes in presence of surface water, vegetation change, and avian populations in both river systems. An overview of the overall project will be provided, with lessons learned, and initial valuation survey results.
This paper reports that the intent of this study was to rigorously look at all of the possible expansion, investment, operational, and CO2 purchase/recompression scenarios (over 2500) to yield a strategy that would maximize net present value of the CO2 project at the Rangely Weber Sand Unit. Traditional methods of project management, which involve analyzing large numbers of single case economic evaluations, was found to be too cumbersome and inaccurate for an analysis of this scope. The decision analysis methodology utilized a statistical approach which resulted in a range of economic outcomes. Advantages of the decision analysis methodology included: a more organized approach to classification of decisions and uncertainties; a clear sensitivity method to identify the key uncertainties; an application of probabilistic analysis through the decision tree; and a comprehensive display of the range of possible outcomes for communication to decision makers. This range made it possible to consider the upside and downside potential of the options and to weight these against the Unit's strategies. Savings in time and manpower required to complete the study were also realized
Full Text Available Abstract Background A considerable amount of resource allocation decisions take place daily at the point of the clinical encounter; especially in primary care, where 80 percent of health problems are managed. Ignoring economic evaluation evidence in individual clinical decision-making may have a broad impact on the efficiency of health services. To date, almost all studies on the use of economic evaluation in decision-making used a quantitative approach, and few investigated decision-making at the clinical level. An important question is whether economic evaluations affect clinical practice. The project is an intervention research study designed to understand the role of economic evaluation in the decision-making process of family physicians (FPs. The contributions of the project will be from the perspective of Pierre Bourdieu's sociological theory. Methods/design A qualitative research strategy is proposed. We will conduct an embedded multiple-case study design. Ten case studies will be performed. The FPs will be the unit of analysis. The sampling strategies will be directed towards theoretical generalization. The 10 selected cases will be intended to reflect a diversity of FPs. There will be two embedded units of analysis: FPs (micro-level of analysis and field of family medicine (macro-level of analysis. The division of the determinants of practice/behaviour into two groups, corresponding to the macro-structural level and the micro-individual level, is the basis for Bourdieu's mode of analysis. The sources of data collection for the micro-level analysis will be 10 life history interviews with FPs, documents and observational evidence. The sources of data collection for the macro-level analysis will be documents and 9 open-ended, focused interviews with key informants from medical associations and academic institutions. The analytic induction approach to data analysis will be used. A list of codes will be generated based on both the original framework and new themes introduced by the participants. We will conduct within-case and cross-case analyses of the data. Discussion The question of the role of economic evaluation in FPs' decision-making is of great interest to scientists, health care practitioners, managers and policy-makers, as well as to consultants, industry, and society. It is believed that the proposed research approach will make an original contribution to the development of knowledge, both empirical and theoretical.
Ehrgott, Matthias; Greco, Salvatore
Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents r
Full Text Available This study was done to examine the economics of coffee production in Nigeria and aimed to determine parameters for revitalizing coffee production. Data from one hundred and fifty respondents were selected by stratified and purposive techniques from the Nigerian states of Kogi and Ogun. Data were analyzed using a descriptive statistic regression analysis and a gross margin analysis. The gross margin profit from coffee farming was below the minimum requirement for a basic livelihood in Nigeria. Farming experience was significant at one percent; labor and capital were significant at five percent; while age of farmer, level of literacy and farm size were not significant. It was concluded that those policies that targeted increasing a coffee farmers access to technical skills, capital, labor and market information would help to facilitate improved management of a coffee farm leading to increased output and income without necessarily increasing farm size.
Finnveden, Göran; Björklund, Anna; Moberg, Asa; Ekvall, Tomas
A large number of methods and approaches that can be used for supporting waste management decisions at different levels in society have been developed. In this paper an overview of methods is provided and preliminary guidelines for the choice of methods are presented. The methods introduced include: Environmental Impact Assessment, Strategic Environmental Assessment, Life Cycle Assessment, Cost-Benefit Analysis, Cost-effectiveness Analysis, Life-cycle Costing, Risk Assessment, Material Flow Accounting, Substance Flow Analysis, Energy Analysis, Exergy Analysis, Entropy Analysis, Environmental Management Systems, and Environmental Auditing. The characteristics used are the types of impacts included, the objects under study and whether the method is procedural or analytical. The different methods can be described as systems analysis methods. Waste management systems thinking is receiving increasing attention. This is, for example, evidenced by the suggested thematic strategy on waste by the European Commission where life-cycle analysis and life-cycle thinking get prominent positions. Indeed, life-cycle analyses have been shown to provide policy-relevant and consistent results. However, it is also clear that the studies will always be open to criticism since they are simplifications of reality and include uncertainties. This is something all systems analysis methods have in common. Assumptions can be challenged and it may be difficult to generalize from case studies to policies. This suggests that if decisions are going to be made, they are likely to be made on a less than perfect basis. PMID:17612327
Coote, A. M.; Bernknopf, R.; Smart, A.
Many industries have long since realised that applying macro-economic analysis methodologies to assess the socio-economic value of a programme is a critical step to convincing decision makers to authorise investment. The geospatial and earth observation industry has however been slow to embrace economic analysis. There are however a growing number of studies, published in the last few years, that have applied economic principles to this domain. They have adopted a variety of different approaches, including: - Computable General Equilibrium Modelling (CGE) - Revealed preference, stated preference (Willingness to Pay surveys) - Partial Analysis - Simulations - Cost-benefit analysis (with and without risk analysis) This paper will critically review these approaches and assess their applicability to different situations and to meet multiple objectives.
Olyazadeh, Roya; van Westen, Cees; Bakker, Wim H.; Aye, Zar Chi; Jaboyedoff, Michel; Derron, Marc-Henri
Natural hazard risk management requires decision making in several stages. Decision making on alternatives for risk reduction planning starts with an intelligence phase for recognition of the decision problems and identifying the objectives. Development of the alternatives and assigning the variable by decision makers to each alternative are employed to the design phase. Final phase evaluates the optimal choice by comparing the alternatives, defining indicators, assigning a weight to each and ranking them. This process is referred to as Multi-Criteria Decision Making analysis (MCDM), Multi-Criteria Evaluation (MCE) or Multi-Criteria Analysis (MCA). In the framework of the ongoing 7th Framework Program "CHANGES" (2011-2014, Grant Agreement No. 263953) of the European Commission, a Spatial Decision Support System is under development, that has the aim to analyse changes in hydro-meteorological risk and provide support to selecting the best risk reduction alternative. This paper describes the module for Multi-Criteria Decision Making analysis (MCDM) that incorporates monetary and non-monetary criteria in the analysis of the optimal alternative. The MCDM module consists of several components. The first step is to define criteria (or Indicators) which are subdivided into disadvantages (criteria that indicate the difficulty for implementing the risk reduction strategy, also referred to as Costs) and advantages (criteria that indicate the favorability, also referred to as benefits). In the next step the stakeholders can use the developed web-based tool for prioritizing criteria and decision matrix. Public participation plays a role in decision making and this is also planned through the use of a mobile web-version where the general local public can indicate their agreement on the proposed alternatives. The application is being tested through a case study related to risk reduction of a mountainous valley in the Alps affected by flooding. Four alternatives are evaluated in this case study namely: construction of defense structures, relocation, implementation of an early warning system and spatial planning regulations. Some of the criteria are determined partly in other modules of the CHANGES SDSS, such as the costs for implementation, the risk reduction in monetary values, and societal risk. Other criteria, which could be environmental, economic, cultural, perception in nature, are defined by different stakeholders such as local authorities, expert organizations, private sector, and local public. In the next step, the stakeholders weight the importance of the criteria by pairwise comparison and visualize the decision matrix, which is a matrix based on criteria versus alternatives values. Finally alternatives are ranked by Analytic Hierarchy Process (AHP) method. We expect that this approach will help the decision makers to ease their works and reduce their costs, because the process is more transparent, more accurate and involves a group decision. In that way there will be more confidence in the overall decision making process. Keywords: MCDM, Analytic Hierarchy Process (AHP), SDSS, Natural Hazard Risk Management
Polhemus, Graig E.
Major labor cases decided during 1976 did not project a clear or simple path for further Constitutional and statutory interpretation, but the year's labor decisions did reveal a new willingness on the part of the U.S. Supreme Court to depart from earlier views of Constitutional law. (JT)
Sheer, D. P.
For more than a decade, the core concept of the author's efforts in support of collaborative decision making has been a combination of hydrologic simulation and multi-objective optimization. The modeling has generally been used to support collaborative decision making processes. The OASIS model developed by HydroLogics Inc. solves a multi-objective optimization at each time step using a mixed integer linear program (MILP). The MILP can be configured to include any user defined objective, including but not limited too economic objectives. For example, an estimated marginal value for water for crops and M&I use were included in the objective function to drive trades in a model of the lower Rio Grande. The formulation of the MILP, constraints and objectives, in any time step is conditional: it changes based on the value of state variables and dynamic external forcing functions, such as rainfall, hydrology, market prices, arrival of migratory fish, water temperature, etc. It therefore acts as a dynamic short term multi-objective economic optimization for each time step. MILP is capable of solving a general problem that includes a very realistic representation of the physical system characteristics in addition to the normal multi-objective optimization objectives and constraints included in economic models. In all of these models, the short term objective function is a surrogate for achieving long term multi-objective results. The long term performance for any alternative (especially including operating strategies) is evaluated by simulation. An operating rule is the combination of conditions, parameters, constraints and objectives used to determine the formulation of the short term optimization in each time step. Heuristic wrappers for the simulation program have been developed improve the parameters of an operating rule, and are initiating research on a wrapper that will allow us to employ a genetic algorithm to improve the form of the rule (conditions, constraints, and short term objectives) as well. In the models operating rules represent different models of human behavior, and the objective of the modeling is to find rules for human behavior that perform well in terms of long term human objectives. The conceptual model used to represent human behavior incorporates economic multi-objective optimization for surrogate objectives, and rules that set those objectives based on current conditions and accounting for uncertainty, at least implicitly. The author asserts that real world operating rules follow this form and have evolved because they have been perceived as successful in the past. Thus, the modeling efforts focus on human behavior in much the same way that economic models focus on human behavior. This paper illustrates the above concepts with real world examples.
An economic study of the the behaviour of financial managers of utility companies was presented. The study examined whether or not an option pricing based model of the call decision does a better job of explaining callable preferred share prices and call decisions compared to other models. In this study, the Rust (1987) empirical technique was extended to include the use of information from preferred share prices in addition to the call decisions. Reasonable estimates were obtained from data of shares of the Pacific Gas and Electric Company (PGE) for the transaction costs associated with a call. It was concluded that the managers of the PGE clearly take into account the value of the option to delay the call when making their call decisions
Sustainable energy decision-making requires comparing energy options across a wide range of economic, environmental, social and technical implications. However, such comparisons based on quantitative data are currently limited at the national level. This is the first comparison of 13 currently operational renewable and non-renewable options for new US electricity generation using multi-criteria decision analysis with quantitative input values (minimum, nominal, and maximum) for 8 sustainability criteria (levelized cost of energy, life cycle greenhouse gas and criteria air pollutant emissions, land and water use, accident-related fatalities, jobs, and annual capacity factor) and 10 representative decision-maker preference scenarios. Results across several preference scenarios indicate that biopower and geothermal (flash and binary) currently score highest in sustainability for the US. Other renewable energy technologies generally offer substantial sustainability improvements over fossil fuel or nuclear technologies, and nuclear is preferable to fossil fuels in most scenarios. The relatively low ranking of natural gas combined cycle in most preference scenarios should encourage caution in adopting NGCC as a âbridgeâ to renewables. Although NGCC ranks high under economic and technical preference scenarios, renewables actually rank higher in both scenarios (hydro â economic; geothermal and biopower â technical). - Highlights: â¢ Compares 13 electricity options across 8 sustainability criteria. â¢ Considers technical, economic, environmental, and social sustainability criteria. â¢ Examines tradeoffs under 10 representative decision-maker preferences. â¢ Includes policy implications for developing new electricity generation capacity in the US. â¢ Biopower and geothermal consistently rank high across several preference scenarios
Ahmed, Saeema; Hansen, Claus Thorp
examined. The analysis led to a deeper understanding of the decision-making activities undertaken by engineering designers in industrial practice. The decision-making episodes undertaken by individual designers were supported by design strategies, not by formal decision-making methods. This implies that......This paper describes research that confronts a generic decision-making model with design strategies employed by experienced designers. The relationship between the decision-making activities proposed by the model and the eight design strategies identified by an empirical study of design work is...... designers in practice do not rely solely on methods to support their decision-making process, but also on the use of relevant design strategies....
Juan D. Deaton; Luiz A. DaSilva; Christian Wernz
A current trend in spectrum regulation is to incorporate spectrum sharing through the design of spectrum access rules that support Dynamic Spectrum Access (DSA). This paper develops a decision-theoretic framework for regulators to assess the impacts of different decision rules on both primary and secondary operators. We analyze access rules based on sensing and exclusion areas, which in practice can be enforced through geolocation databases. Our results show that receiver-only sensing provides insufficient protection for primary and co-existing secondary users and overall low social welfare. On the other hand, using sensing information between the transmitter and receiver of a communication link, provides dramatic increases in system performance. The performance of using these link end points is relatively close to that of using many cooperative sensing nodes associated to the same access point and large link exclusion areas. These results are useful to regulators and network developers in understanding in developing rules for future DSA regulation.
Olsson, Tina M.; Ferrer-Wreder, Laura; Eninger, Lilianne
Commentators interested in school-based prevention programs point to the importance of economic issues for the future of prevention efforts. Many of the processes and aims of prevention science are dependent upon prevention resources. Although economic analysis is an essential tool for assessing resource use, the attention given economic analysis
The necessity for improved decision making concerning the siting and licensing of major power facilities has been accelerated in the past decade by the increased environmental consciousness of the public and by the energy crisis. These problems are exceedingly complex due to their multiple objective nature, the many interest groups, the long-range time horizons, and the inherent uncertainties of the potential impacts of any decision. Along with the relatively objective economic and engineering concerns, clearly the more subjective factors involving safety, environmental, and social issues are crucial to the problem. Hence, the professional judgments and knowledge of experts in these areas should be utilized in analyses of siting decisions. Likewise, the preferences of the general public, as consumers, the utility companies, as builders and operators of power plant facilities, and environmentalists and the government must be accounted for in analyzing power plant siting and licensing issues. We advocate an approach for formally articulating the experts' judgments and the decision makers' preferences, both of which are clearly subjective, and processing these along with the more objective considerations in a logical manner to acquire the implications for decision making. The appropriateness and application of decision analysis for power plant location decisions is discussed and illustrated. Emphasis is placed on the assessment of the decision maker's preferences and tradeoffs concerning multiple objectives. (U.S.)
An important responsibility for managers is to see that good decisions are made, which includes training other decision makers in how to make them. In our rapidly changing health-care environment, it is important that the best decisions be made based on cost-effectiveness (tests we perform or outsource), productivity (employees we hire), service quality (how we organize services), technology (equipment and methods we purchase), and outcomes (what we accomplish for patients). A decision analysis method is described that uses an objective, scientific approach to decision making. Bayesian analysis is a statistical method that allows researchers (decision makers) to take into account data as well as prior beliefs to calculate the probability that an alternative (decision, treatment) is superior. Developing criteria, prior rating, of options, and calculating assessments and final assessment are included in the analysis. An example is provided to show how our laboratory compared routine hematology automation alternatives (automated cell counter, automated microscope, and automated flow cytometry cell counter) using the Bayesian analytical technique. Discussion follows related to how the technique is effective in managing team decisions by allowing different opinions, past experiences, and beliefs to be expressed and evaluated. PMID:10557877
The objectives of the IEA Bioenergy Technoeconomic Analysis Activity are: (1) To promote development of thermochemical biomass conversion methods by carrying out selected site specific feasibility studies in participating countries. Both agricultural and woody biomasses will be converted either into electricity or boiler fuels; (2) To compare advanced technologies to commercial alternatives based on technoeconomic basis to establish future development needs, and (3) To facilitate information exchange between participants on relevant basic process issues. Five countries (Finland, Canada, USA, Norway, Austria) are participating to the Activity. Initially two feasibility studies are planned for each country. Each study has three common elements: site specific, technical, and economic data. The site specific cases are described below in short. Products in the cases are electricity, heat and fuel oil. Total of two cases per country are planned. (orig.)
Shauver, Melissa J.; Chung, Kevin C.
This paper presents an introduction to economic outcomes for the plastic surgeon investigator. The types of economic outcomes are introduced and the matter of perspective is discussed. Examples from the plastic surgery literature are presented. The current and future importance of economic outcome measures is emphasized.
Calmet, Jacques; Maret, Pierre; Schneider, Marvin
Decision-making systems based upon multi-agent technology have epistemological implications that are seldom acknowledged. We provide a simple analysis arising from the method, inspired by theorem proving, we have designed along the years. We also specify the link with Web 3.0. The results of this analysis are applied to a new approach to trust making use of securitization. An important consequence of such an approach is to emphasize the interdisciplinary features of decision support systems.
An Exploratory Studies Facility (ESF) is planned to support the characterization of a potential site for a high-level nuclear waste repository at Yucca Mountain, NV. The selection of a design for the ESF is a critical decision, because the ESF design may affect the accuracy of characterization testing and subsequent repository design. The assist the design process, a comparative evaluation was conducted to rank 34 alternative relied on techniques from formal decision analysis, including decision trees and multiattribute utility analysis (MUA). The results helped to identify favorable design features and convinced the Department of Energy to adopt the top-ranked option as the preferred ESF design
Fabre, Eve F; Causse, Mickael; Pesciarelli, Francesca; Cacciari, Cristina
In the present event-related potential study, we investigated whether and how participants playing the ultimatum game as responders modulate their decisions according to the proposers' stereotypical identity. The proposers' identity was manipulated using occupational role nouns stereotypically marked with gender (e.g., Teacher; Engineer), paired with either feminine or masculine proper names (e.g., Anna; David). Greater FRN amplitudes reflected the early processing of the conflict between the strategic rule (i.e., earning as much money as possible) and ready-to-go responses (i.e., refusing unequal offers and discriminating proposers according to their stereotype). Responders were found to rely on a dual-process system (i.e., automatic and heuristic-based system 1 vs. cognitively costly and deliberative system 2), the P300 amplitude reflecting the switch from a decision making system to another. Greater P300 amplitudes were found in response to both fair and unfair offers and male-stereotyped proposers' offers reflecting an automatic decision making based on heuristics, while lower P300 amplitudes were found in response to 3â¬ offers and the female-stereotyped proposers' offers reflecting a more deliberative reasoning. Overall, the results indicate that participants were more motivated to engage in a costly deliberative reasoning associated with an increase in acceptation rate when playing with female-stereotyped proposers, who may have induced more positive and emphatic feelings in the participants than did male-stereotyped proposers. Then, we assume that people with an occupation stereotypically marked with female gender and engaged in an economic negotiation may benefit from their occupation at least in the case their counterparts lose their money if the negotiation fails. PMID:26102185
Masia Semmel, Alvaro
In this paper we address the question of how people make decisions in the context of a knapsack problem, which is a simplified version of a portfolio project management problem. We expect people to be influenced by the biases described in the first chapters and therefore we carry out an experiment to test the reach of this effect. More specifically, our aim is to study to which degree people reach suboptimal solutions in the knapsack problem on different situations of difficulty and size of t...
Ghassan F. Issa
Full Text Available Problem statement: The introduction of Information Technology (IT to government institutions in developing countries bears a great deal of risk of failure. The lack of qualified personnel, lack of financial support and the lack of planning and proper justification are just few of the causes of projects failure. Study presented in this study focused on the justification issue of IT projects through the application of Cost Benefit Analysis (CBA as part of a comprehensive Economic Efficiency Analysis (EEA of IT Projects, thus providing management with a decision making tool which highlights existing and future problems and reduces the risk of failure. Approach: Cost-Benefit Analysis (CBA based on Economic Efficiency Analysis (EEA was performed on selected IT projects from ministries and key institutions in the government of Jordan using a well established approach employed by the Federal Government of Germany (KBSt approach. The approach was then modified and refined to suit the needs of developing countries so that it captured all the relevant elements of cost and benefits both quantitatively and qualitatively and includes a set of guidelines for data collection strategy. Results: When IT projects were evaluated using CBA, most cases yielded negative Net Present Value (NPV, even though, some cases showed some reduction in operation cost starting from the third year of project life. However, when the CBA was applied as a part of a comprehensive EEA by introducing qualitative aspects and urgency criteria, proper justification for new projects became feasible. Conclusion: The modified EEA represented a systematic approach which was well suited for the government of Jordan as a developing country. This approach was capable of dealing with the justification issue, evaluation of existing systems and the urgency of replacing legacy systems. This study explored many of the challenges and inherited problems existing in the public sectors of developing countries which can not simply be resolved by the introduction of IT projects, but rather require more comprehensive solutions.
Hayashi, Yusuke; Russo, Christopher T; Wirth, Oliver
The goal of the present study was to examine the utility of a behavioral economic analysis to investigate the role of delay discounting in texting while driving. A sample of 147 college students completed a survey to assess how frequently they send and read text messages while driving. Based on this information, students were assigned to one of two groups: 19 students who frequently text while driving and 19 matched-control students who infrequently text while driving but were similar in gender, age, years of education, and years driving. The groups were compared on the extent to which they discounted, or devalued, delayed hypothetical monetary rewards using a delay-discounting task. In this task, students made repeated choices between $1000 available after a delay (ranging from 1 week to 10 years) and an equal or lesser amount of money available immediately. The results show that the students who frequently text while driving discounted delayed rewards at a greater rate than the matched control students. The study supports the conclusions that texting while driving is fundamentally an impulsive choice made by drivers, and that a behavioral economic approach may be a useful research tool for investigating the decision-making processes underlying risky behaviors. PMID:26280804
Highlights: ? We develop a bilevel game-theoretic model for allowance and electricity markets. ? We solve the model using a reinforcement learning algorithm. ? Model accounts for transmission constraints, cap-and-trade constraints. ? Study demonstrated on 9-bus electric power network. ? Obtain insights about supply shares, impact of transmission constraints, and cost pass through. -- Abstract: Carbon constrained electricity markets are a reality in 10 northeastern states and California in the US, as well as the European Union. Close to a Billion US Dollars have been spent by entities (mainly generators) in the Regional Greenhouse Gas Initiative in procuring CO2 allowances to meet binding emissions restrictions. In the near future, there are expected to be significant impacts due to the cap-and-trade program, especially when the cap stringency increases. In this research we develop a bilevel, complete-information, matrix game-theoretic model to assess the economic impact and make operational decisions in carbon-constrained restructured electricity markets. Our model is solved using a reinforcement learning approach, which takes into account the learning and adaptive nature of market participants. Our model also accounts for all the power systems constraints via a DC-OPF problem. We demonstrate the working of the model and compute various economic impact indicators such as supply shares, cost pass-through, social welfare, profits, allowance prices, and electricity prices. Results from a 9-bus power network are presented.
Maria Zenovia GRIGORE
In the New Microeconomics the walrasian postulate of perfect information is replaced by two theorems concerning production of information: 1. the acquisition and dissemination of information raise production costs; 2. the specialisation in information activity is efficient; there are specialists in the production or use of information. Information economics or the economics of information studies decisions in transaction where one party has more or better information than the other. Incompl...
Full Text Available Abstract. In the research of Air Navigation System as a complex socio-technical system the methodologyof analysis of human-operator's decision-making has been developed. The significance of individualpsychologicalfactors as well as the impact of socio-psychological factors on the professional activities of ahuman-operator during the flight situation development from normal to catastrophic were analyzed. On thebasis of the reflexive theory of bipolar choice the expected risks of decision-making by the Air NavigationSystem's operator influenced by external environment, previous experience and intentions were identified.The methods for analysis of decision-making by the human-operator of Air Navigation System usingstochastic networks have been developed.Keywords: Air Navigation System, bipolar choice, human operator, decision-making, expected risk, individualpsychologicalfactors, methodology of analysis, reflexive model, socio-psychological factors, stochastic network.
Full Text Available In this paper the concept of fuzzy Non-Linear Programming Technique is applied to solve an economic order quantity (EOQ model under restricted space. Since various types of uncertainties and imprecision are inherent in real inventory problems they are classically modeled using the approaches from the probability theory. However, there are uncertainties that cannot be appropriately treated by usual probabilistic models. The questions how to define inventory optimization tasks in such environment how to interpret optimal solutions arise. This paper allows the modification of the Single item EOQ model in presence of fuzzy decision making process where demand is related to the unit price and the setup cost varies with the quantity produced/Purchased. This paper considers the modification of objective function and storage area in the presence of imprecisely estimated parameters. The model is developed for the problem by employing different modeling approaches over an infinite planning horizon. It incorporates all concepts of a fuzzy arithmetic approach, the quantity ordered and the demand per unit compares both fuzzy non linear and other models. Investigation of the properties of an optimal solution allows developing an algorithm whose validity is illustrated through an example problem and ugh MATLAB (R2009a version software, the two and three dimensional diagrams are represented to the application. Sensitivity analysis of the optimal solution is also studied with respect to changes in different parameter values and to draw managerial insights of the decision problem.
National Aeronautics and Space Administration Sediment Analysis Network for Decision Support (SANDS) MODIS Geological Survey of AL (GSA) Analysis -- The Geological Survey of Alabama (GSA) generated this dataset...
Daniela Cristina Solomon; Iulia Andreea Bucur
Considering the impact of risk factors in the economic environment, this study provides to all users of financial information a possible pattern for analyzing the financial equilibrium, designed to clarify the importance of dynamic analysis of indicators characterizing the financial equilibrium of an enterprise, expressed on absolute values, especially for managers in decision-making on future work, aimed at achieving pre-established strategic and tactical objectives. Practice has shown that ...
The overall aim of this thesis was to estimate health economic consequences of the four-month primary care program Physical Activity on Prescription (PAP). Inactivity means a highly increased independent risk factor for public health diseases and morbidity, and is an economic burden to society. Evidence for cost effective interventions aiming at increasing physical activity (PA) level among inactive individuals is limited, why health economic evaluations are an important tool when arranging...
Olsson, Tina M; Ferrer-Wreder, Laura; Eninger, Lilianne
Commentators interested in school-based prevention programs point to the importance of economic issues for the future of prevention efforts. Many of the processes and aims of prevention science are dependent upon prevention resources. Although economic analysis is an essential tool for assessing resource use, the attention given economic analysis within school-based prevention remains cursory. Largely, economic analyses of school-based prevention efforts are undertaken as secondary research. This limits these efforts to data that have been collected previously as part of epidemiological and outcomes research. Therefore, economic analyses suffer from gaps in the knowledge generated by these studies. This chapter addresses the importance of economic analysis for the future of school-based substance abuse prevention programs and highlights the role of prevention research in the development of knowledge that can be used for economic analysis. PMID:24753283
DAVIS,FREDDIE J.; DEWEESE,GREGORY C.; PICKETT,WILLIAM W.
The objective of this report is to supplement the C-104 Alternatives Generation and Analysis (AGA) by providing a decision analysis for the alternative technologies described therein. The decision analysis used the Multi-Attribute Utility Analysis (MUA) technique. To the extent possible information will come from the AGA. Where data are not available, elicitation of expert opinion or engineering judgment is used and reviewed by the authors of the AGA. A key element of this particular analysis is the consideration of varying perspectives of parties interested in or affected by the decision. The six alternatives discussed are: sluicing; sluicing with vehicle mounted transfer pump; borehole mining; vehicle with attached sluicing nozzle and pump; articulated arm with attached sluicing nozzle; and mechanical dry retrieval. These are evaluated using four attributes, namely: schedule, cost, environmental impact, and safety.
The objective of this report is to supplement the C-104 Alternatives Generation and Analysis (AGA) by providing a decision analysis for the alternative technologies described therein. The decision analysis used the Multi-Attribute Utility Analysis (MUA) technique. To the extent possible information will come from the AGA. Where data are not available, elicitation of expert opinion or engineering judgment is used and reviewed by the authors of the AGA. A key element of this particular analysis is the consideration of varying perspectives of parties interested in or affected by the decision. The six alternatives discussed are: sluicing; sluicing with vehicle mounted transfer pump; borehole mining; vehicle with attached sluicing nozzle and pump; articulated arm with attached sluicing nozzle; and mechanical dry retrieval. These are evaluated using four attributes, namely: schedule, cost, environmental impact, and safety
The bachelor thesis Economic Analysis of Samsung Electronics Co., Ltd. Stocks focuses on fundamental economic analysis and its application on selected Korean company Samsung Electronics Co., Ltd. The thesis is divided into two main parts, literature review and practical part. The literature review consists of principles and methods of developing the theory of fundamental economic analysis. The practical part consists of practical application of the theoretical part on the company Samsung El...
Olsson, Tina M.; Ferrer-Wreder, Laura; Eninger, Lilianne
Commentators interested in school-based prevention programs point to the importance of economic issues for the future of prevention efforts. Many of the processes and aims of prevention science are dependent upon prevention resources. Although economic analysis is an essential tool for assessing resource use, the attention given economic analysisâ¦
The principal objective for designing Decision Analysis System for Decontamination (DASD) is to support DOE-EM's endeavor to employ the most efficient and effective technologies for treating radiologically contaminated surfaces while minimizing personnel and environmental risks. DASD will provide a tool for environmental decision makers to improve the quality, consistency, and efficacy of their technology selection decisions. The system will facilitate methodical comparisons between innovative and baseline decontamination technologies and aid in identifying the most suitable technologies for performing surface decontamination at DOE environmental restoration sites
Ebadian, M.A.; Boudreaux, J.F.; Chinta, S.; Zanakis, S.H.
The principal objective for designing Decision Analysis System for Decontamination (DASD) is to support DOE-EM's endeavor to employ the most efficient and effective technologies for treating radiologically contaminated surfaces while minimizing personnel and environmental risks. DASD will provide a tool for environmental decision makers to improve the quality, consistency, and efficacy of their technology selection decisions. The system will facilitate methodical comparisons between innovative and baseline decontamination technologies and aid in identifying the most suitable technologies for performing surface decontamination at DOE environmental restoration sites.
Yang Dong-Hong; Wang Jing-Si
In order to give the Influence factors a further research which is of petroleum enterprise marketing based on the Dynamic hypothesis, using the Least squares method of multiple linear regression and correlation test to built the econometrics model of petroleum enterprise marketing. After elimination of the influence factors of marketing flow security which has a highly linear correlation with marketing flow, get the final econometrics model of petroleum ent...
The values entering the decisions on protective actions, as concerning the society, are multidimensional. People have strong feelings and beliefs about these values, some of which are not numerically quantified and do not exist in monetary form. The decision analysis is applied in planning the recovery operations to clean up an urban environment in the event of a hypothetical nuclear power plant accident assisting in rendering explicit and apparent all factors involved and evaluating their relative importance. (author)
Fabrikant, J.I.; Hilberg, A.W.
This paper reviews certain current concepts and methods relating to benefit-risk analysis, in terms of economic costs and raidation risks to health, in relation to the benefits from diagnostic radiology in clinical medicine.
This paper reviews certain current concepts and methods relating to benefit-risk analysis, in terms of economic costs and raidation risks to health, in relation to the benefits from diagnostic radiology in clinical medicine
Full Text Available In the current economic context, decision making requires complex and multiple actions on the part of the policy makers, who are more challenged than in previous situations, due to the crisis that we are facing. Decision problems cannot be solved by focusing on managers own experience or intuition, but require constant adaptation of the methods used effectively in the past to new challenges. Thus, a systemic analysis and modeling of arising issues is required, resulting in the stringent use of Decision Support Systems (DSS, as a necessity in a competitive environment. DSS optimize the situation by getting a timely decision because the decision making process must acquire, process and interpret an even larger amount of data in the shortest possible time. A solution for this purpose is the artificial intelligence systems, in this case Decision Support Systems (DSS, used in a wider area due to expansion of all the new information technologies in decisionmaking processes. These substantial cyber innovations have led to a radical shift in the relationship between enterprise success and quality of decisions made by managers.
Highlights: â¢ Thermodynamic modeling of a two-stage irreversible heat pump is performed. â¢ The latter is achieved using NSGA algorithm and thermodynamic analysis. â¢ 3 answers given by the decision-making methods selected. - Abstract: This research study mainly deals with a comprehensive thermodynamic modeling and thermo-economic optimization of an irreversible absorption heat pump. For the optimization goal, various objective functions are considered comprising the specific heating load, coefficient of performance (COP) and the thermo-economic benchmark (F). In order to specify the optimum design variables, non-dominant sorting genetic algorithm (NSGA) is applied satisfying some restrictions. In this optimization study, all three objective functions (e.g. COP, F and specific heating load) are maximized. In addition, decision making is carried out using three well-suited approaches namely LINAMP and TOPSIS and FUZZY. Finally, sensitivity analysis and error analysis are conducted in order to improve understanding of the system performance
Megan K. OBrien
Full Text Available Physiological and emotional states can affect our decision-making processes, even when these states are seemingly insignificant to the decision at hand. We examined whether posture and postural threat affect decisions in a non-related economic domain. Healthy young adults made a series of choices between economic lotteries in various conditions, including changes in body posture (sitting vs. standing and changes in elevation (ground level vs. atop a 0.8-meter-high platform. We compared three metrics between conditions to assess changes in risk-sensitivity: frequency of risky choices, and parameter fits of both utility and probability weighting parameters using cumulative prospect theory. We also measured skin conductance level to evaluate physiological response to the postural threat. Our results demonstrate that body posture does not significantly affect decision making. Secondly, despite increased skin conductance level, economic risk-sensitivity was unaffected by increased threat. Our findings indicate that economic choices are fairly robust to the physiological and emotional changes that result from posture or postural threat.
Rossetti di Valdalbero, Domenico
This book highlights the interaction between science and politics and between research in economics and European Union policy-making. It focuses on the use of Quantitative tools, Top-down and Bottom-up models in up-stream European decision-making process through five EU policy case studies: energy taxation, climate change, energy efficiency, renewable energy, and internalisation of external costs.
V. S. Adigal
Full Text Available A data warehouses provides us generalized and consolidated data in multidimensional view, a data warehouses also provides us Online Analytical Processing (OLAP tools. One of the best advantages of using a data warehouse is that users are able to access a large amount of information. This information can be used to solve a large number of problems, and it can also be used to increase the profits of a company. Not only users are able to have access to a large amount of information. A data warehouse helps business executives to organize, analyze, and use historical data for decision making. A data warehouse serves as a solitary part of a plan-execute-assess "closed-loop" feedback system for the organizational management. Data warehouses are high maintenance systems. Any reorganization of the business processes and the source systems may affect the data warehouse and it results in high maintenance cost. Thus, data warehouse has now become an important platform for data analysis and online analytical processing. The present study focuses on the issues and challenges involved in data warehousing for economic analysis and try to put forth the various roadmap to face the various issues. There is no unique method for forecasting the sale of any commodity. The forecaster may try one or the other method depending upon his objective, data availability, the urgency with which forecasts are needed, resources he intends to devote to this work and type of commodity whose demand he wants to forecast.
Fuad M. Kreishan
Problem statement: This research investigates the relationship between unemployment and economic growth in Jordan through the implementation of Okun?s law. Approach: Using annual data covering the period 1970-2008, time series techniques are used to test the relation between unemployment and economic growth and to obtain estimates for Okun?s coefficient. Namely, the study used Augmented Dickey-Fuller (ADF) for unit root, cointegration test and a simple regression between...
To move toward environmental sustainability, we propose that a computational approach may be needed due to the complexity of resource production and consumption. While digital sensors and predictive simulation has the potential to help us to minimize resource consumption, the indirect relation between cause and effect in complex systems complicates decision making. To address this issue, we examine the central role that data-driven decision making could play in critical domains such as sustainability or medical treatment. We developed systems for exploratory data analysis and data visualization to support hypothesis generation, hypothesis testing, and decision making. In addition to sensors in buildings, infrastructure, or the environment, we also propose the instrumentation of user interfaces to help measure performance in decision making applications. We show the benefits of applying principles of data analysis and instructional interface design, to both simulation systems and decision support interfaces. We hope that projects such as these will help people to understand the link between their choices and the consequences of their decisions.
MÃ¼hlbacher, Axel C; Kaczynski, Anika
Healthcare decision making is usually characterized by a low degree of transparency. The demand for transparent decision processes can be fulfilled only when assessment, appraisal and decisions about health technologies are performed under a systematic construct of benefit assessment. The benefit of an intervention is often multidimensional and, thus, must be represented by several decision criteria. Complex decision problems require an assessment and appraisal of various criteria; therefore, a decision process that systematically identifies the best available alternative and enables an optimal and transparent decision is needed. For that reason, decision criteria must be weighted and goal achievement must be scored for all alternatives. Methods of multi-criteria decision analysis (MCDA) are available to analyse and appraise multiple clinical endpoints and structure complex decision problems in healthcare decision making. By means of MCDA, value judgments, priorities and preferences of patients, insurees and experts can be integrated systematically and transparently into the decision-making process. This article describes the MCDA framework and identifies potential areas where MCDA can be of use (e.g. approval, guidelines and reimbursement/pricing of health technologies). A literature search was performed to identify current research in healthcare. The results showed that healthcare decision making is addressing the problem of multiple decision criteria and is focusing on the future development and use of techniques to weight and score different decision criteria. This article emphasizes the use and future benefit of MCDA. PMID:26519081
Dolan, Robert C.; Stevens, Jerry L.
The authors describe the Business Conditions and Economic Analysis (BCEA) program developed at the University of Richmond. The BCEA program is an experiential learning format for economics students built on the success of student-managed investment funds (SMIF) in finance. In its initial implementation, the BCEA group conducts domestic and global
Kim, Makoto Naruse Song-Ju; Berthel, Martin; Drezet, AurÃ©lien; Huant, Serge; Hori, Hirokazu
Decision making is a vital function in the era of artificial intelligence; however, its physical realizations and their theoretical fundamentals are not yet known. In our former study [Sci. Rep. 5, 513253 (2015)], we demonstrated that single photons can be used to make decisions in uncertain, dynamically changing environments. The multi-armed bandit problem was successfully solved using the dual probabilistic and particle attributes of single photons. Herein, we present the category theoretic foundation of the single-photon-based decision making, including quantitative analysis that agrees well with the experimental results. The category theoretic model unveils complex interdependencies of the entities of the subject matter in the most simplified manner, including a dynamically changing environment. In particular, the octahedral structure in triangulated categories provides a clear understanding of the underlying mechanisms of the single-photon decision maker. This is the first demonstration of a category the...
Full Text Available Eva Woelbert, Rainer Goebel Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands Abstract: Immediate exposure to reward or reward-predicting stimuli (cues influences behavior. For example, chips placed right in front of us are likely to get eaten even if we wish to lose weight or don't actually like chips so much. In this paper we review evidence that shows that immediate exposure to reward and the presence of reward-cues can change economic behavior across various decision domains. Reward cues lead to less patient intertemporal choice, seem to increase risk aversion, and bias consumer choice. This may explain various, at first glance very different, behavioral phenomena, such as dynamic inconsistency, the certainty effect, and the endowment effect. We suggest that immediacy in time, certainty, and physical possession all create immediacy to a rewarding outcome that might bias choice in a similar way as other reward-predicting stimuli. Keywords: immediacy, certainty, proximity, valuation, choice, Pavlovian cues
Koçak, Özgecan; Özcan, Serden
Four distinct theoretical programs have examined market entry decisions of multiunit firms, advancing different explanations for the relationship between a firm's likelihood of entry into a geographical market and the number of rivals that are already present in the target market. Within the strategy literature, theory of strategic interactions explains that firms will want to establish a foothold in markets where their multimarket competitors are scarce, but avoid markets where there are many multimarket competitors. Within economic geography, positive externalities such as increase in demand explain firms' desire to locate close to their rivals whereas negative externalities such as competition explain their desire to avoid them. Within the ecological tradition, density dependence theory explains this relationship in terms of legitimation of an organizational form in a particular market and subsequently increased competition for resources there. Within new institutional theory, the presence of rivals is seen as a signal that a particular market is suitable for entry. Although generally quoted and mentioned in the literature, these four explanations have not been sufficiently separated to indicate whether these four mechanisms all operate simultaneously or whether one of them might account for the often found inverse-U-shaped relationship. Distinguishing firms with different strategies and using various moderators, we test the four explanations jointly and demonstrate their scope of operation.
Phillips, Wendy J; Fletcher, Jennifer M; Marks, Anthony D G; Hine, Donald W
This meta-analysis examined whether tendencies to use reflective and intuitive thinking styles predicted decision performance (normatively correct responding) and decision experience (e.g., speed, enjoyment) on a range of decision-making tasks. A pooled sample of 17,704 participants (Mage = 25 years) from 89 samples produced small but significant weighted average effects for reflection on performance (r = .11) and experience (r = .14). Intuition was negatively associated with performance (r = -.09) but positively associated with experience (r = .06). Moderation analyses using 499 effect sizes revealed heterogeneity across task-theory match/mismatch, task type, description-based versus experience-based decisions, time pressure, age, and measure type. Effects of both thinking styles were strongest when the task matched the theoretical strengths of the thinking style (up to r = .29). Specific tasks that produced the largest thinking style effects (up to r = .35) were also consistent with system characteristics. Time pressure weakened the effects of reflection, but not intuition, on performance. Effect sizes for reflection on performance were largest for individuals aged either 12 to 18 years or 25+ (up to r = .18), and the effects of both reflection and intuition on experience were largest for adults aged 25+ (up to r = .27). Overall, our results indicate that associations between thinking styles and decision outcomes are context dependent. To improve decision performance and experience, decision architects and educators should carefully consider both individual differences in the decision maker and the nature of the decision task. (PsycINFO Database Record PMID:26436538
Procedures for evaluating the technical, economic, and financial aspects of urban water quality management planning problems are presented. Accepted principles of benefit-cost analysis are used to conduct the economic analysis. Benefits are measured as the reduction in damages as...
Calow, Peter; Biddinger, G; Hennes, C; King, H; Markanya, A; Mottram, R; Roberts, P; Salvito, D
This report describes the requirements for, and illustrates the application of, a methodology for a socio-economic analysis (SEA) especially as it might be adopted in the framework of REACH.......This report describes the requirements for, and illustrates the application of, a methodology for a socio-economic analysis (SEA) especially as it might be adopted in the framework of REACH....
Kubbinga, Marlies; Langguth, Peter; Barends, Dirk
This article evaluates the current biowaiver guidance documents published by the FDA, EU and WHO from a risk based perspective. The authors introduce the use of a Failure Mode and Effect Analysis (FMEA) risk calculation tool to show that current regulatory documents implicitly limit the risk for bioinequivalence after granting a biowaiver by reduction of the incidence, improving the detection and limiting the severity of any unforeseen bioinequivalent product. In addition, the authors use the risk calculation to expose yet unexplored options for future extension of comparative in vitro tools for biowaivers. PMID:23280474
This research work is about the methodology of economic factorial analysis, which is an actual instrument for the analysis of different economic and technological models. The acceptance of control solutions becomes the result of model?s study in this case. This fact defines the importance of this unit for the analysis of systems. It is possible to realise the different numerical experiments on simulation of different processes and their following analysis using the methods received in the cou...
In January 1991, the U.S. Department of Energy (DOE) Richland Field Office, Westinghouse Hanford Company, and the Pacific Northwest Laboratory initiated the Hanford Integrated Planning Process (HIPP) to ensure that technically sound and publicly acceptable decisions are made that support the environmental cleanup mission at Hanford. One of the HIPP's key roles is to develop an understanding of the science and technology (S and T) requirements to support the cleanup mission. This includes conducting an annual systematic assessment of the S and T needs at Hanford to support a comprehensive technology development program and a complementary scientific research program. Basic to success is a planning and assessment methodology that is defensible from a technical perspective and acceptable to the various Hanford stakeholders. Decision analysis techniques were used to help identify and prioritize problems and S and T needs at Hanford. The approach used structured elicitations to bring many Hanford stakeholders into the process. Decision analysis, which is based on the axioms and methods of utility and probability theory, is especially useful in problems characterized by uncertainties and multiple objectives. Decision analysis addresses uncertainties by laying out a logical sequence of decisions, events, and consequences and by quantifying event and consequence probabilities on the basis of expert judgments
Engel, David W.
Commercialization of new carbon capture simulation initiative (CCSI) technology will include two key elements of risk management, namely, technical risk (will process and plant performance be effective, safe, and reliable) and enterprise risk (can project losses and costs be controlled within the constraints of market demand to maintain profitability and investor confidence). Both of these elements of risk are incorporated into the risk analysis subtask of Task 7. Thus far, this subtask has developed a prototype demonstration tool that quantifies risk based on the expected profitability of expenditures when retrofitting carbon capture technology on a stylized 650 MW pulverized coal electric power generator. The prototype is based on the selection of specific technical and financial factors believed to be important determinants of the expected profitability of carbon capture, subject to uncertainty. The uncertainty surrounding the technical performance and financial variables selected thus far is propagated in a model that calculates the expected profitability of investments in carbon capture and measures risk in terms of variability in expected net returns from these investments. Given the preliminary nature of the results of this prototype, additional work is required to expand the scope of the model to include additional risk factors, additional information on extant and proposed risk factors, the results of a qualitative risk factor elicitation process, and feedback from utilities and other interested parties involved in the carbon capture project. Additional information on proposed distributions of these risk factors will be integrated into a commercial implementation framework for the purpose of a comparative technology investment analysis.
A typical residential solar water heater, and typical cost and performance information are described briefly. The monthly costs and savings of the typical system are discussed. Economic evaluations of solar water heaters are presented in increasingly complex levels of detail. Utilizing a typical system, the effective interest rate that the purchaser of a system would receive on money invested is shown for all regions of the country. The importance of numerous variables that can make a significant difference on the economics of the system is described. Methods for calculating the Payback Period for any non-typical solar water heater are described. This calculated Payback Period is then shown to be related to the effective interest rate that the puchaser of the system would receive for a typical set of economic conditions. A method is presented to calculate the effective interest rate that the solar system would provide. (MHR)
Williams, Iestyn P; Bryan, Stirling
In a context of rapid technological advances in health care and increasing demand for expensive treatments, local formulary committees are key players in the management of scarce resources. However, little is known about the information and processes used when making decisions on the inclusion of new treatments. This paper reports research on the use of economic evaluations in technology coverage decisions in England, although the findings have a relevance to other health care systems with devolved responsibility for resource allocation. It reports a study of four local formulary committees in which both qualitative and quantitative data were collected. Our main research finding is that it is an exception for cost-effectiveness analysis to inform technology coverage decisions. Barriers to use include access and expertise levels, concerns relating to the independence of analyses and problems with implementation of study recommendations. Further barriers derive from the constraints on decision makers, a lack of clarity over functions and aims of local committees, and the challenge of disinvestment in medical technologies. The relative weakness of the research-practice dynamics in this context suggests the need for a rethinking of the role of both analysts and decision makers. Our research supports the view that in order to be useful, analysis needs to better reflect the constraints of the local decision-making environment. We also recommend that local decision-making committees and bodies in the National Health Service more clearly identify the 'problems' which they are charged with solving and how their outputs contribute to broader finance and commissioning functions. This would help to establish the ways in which the routine use of cost-effectiveness analysis might become a reality. PMID:17698271
Karjalainen, T. P.; Rossi, P. M.; Ala-aho, P.; Eskelinen, R.; Reinikainen, K.; Kløve, B.; Pulido-Velazquez, M.; Yang, H.
Multi-criteria decision analysis (MCDA) methods are increasingly used to facilitate both rigorous analysis and stakeholder involvement in natural and water resource planning. Decision-making in that context is often complex and multi-faceted with numerous trade-offs between social, environmental and economic impacts. However, practical applications of decision-support methods are often too technically oriented and hard to use, understand or interpret for all participants. The learning of participants in these processes is seldom examined, even though successful deliberation depends on learning. This paper analyzes the potential of an interactive MCDA framework, the decision analysis interview (DAI) approach, for facilitating stakeholder involvement and learning in groundwater management. It evaluates the results of the MCDA process in assessing land-use management alternatives in a Finnish esker aquifer area where conflicting land uses affect the groundwater body and dependent ecosystems. In the assessment process, emphasis was placed on the interactive role of the MCDA tool in facilitating stakeholder participation and learning. The results confirmed that the structured decision analysis framework can foster learning and collaboration in a process where disputes and diverse interests are represented. Computer-aided interviews helped the participants to see how their preferences affected the desirability and ranking of alternatives. During the process, the participants' knowledge and preferences evolved as they assessed their initial knowledge with the help of fresh scientific information. The decision analysis process led to the opening of a dialogue, showing the overall picture of the problem context and the critical issues for the further process.
T. P. Karjalainen
Full Text Available Multi-criteria decision analysis (MCDA methods are increasingly used to facilitate both rigorous analysis and stakeholder involvement in natural and water resource planning. Decision making in that context is often complex and multi-faceted with numerous trade-offs between social, environmental and economic impacts. However, practical applications of decision-support methods are often too technically oriented and hard to use, understand or interpret for all participants. The learning of participants in these processes is seldom examined, even though successful deliberation depends on learning. This paper analyzes the potential of an interactive MCDA framework, the decision analysis interview (DAI approach, for facilitating stakeholder involvement and learning in groundwater management. It evaluates the results of an MCDA process in assessing land-use management alternatives in a Finnish esker aquifer area where conflicting land uses affect the groundwater body and dependent ecosystems. In the assessment process, emphasis was placed on the interactive role of the MCDA tool in facilitating stakeholder participation and learning. The results confirmed that the structured decision analysis framework can foster learning and collaboration in a process where disputes and diverse interests are represented. Computer-aided interviews helped the participants to see how their preferences affected the desirability and ranking of alternatives. During the process, the participants' knowledge and preferences evolved as they assess their initial knowledge with the help of fresh scientific information. The decision analysis process led to the opening of a dialogue, showing the overall picture of the problem context, and the critical issues for the further process.
Kennedy, A. S.; Sewell, I. O.; Lee, C.
Economic viability is a necessary condition for the implementation of an energy-conserving ICES concept. This criterion is inextricably linked to: (1) the costs of installing, operating, and maintaining competitive systems; (2) the costs of energy systems to the individual building owners and occupants in the community; (3) the amount, type, and relative prices of fuels and electric rates; and (4) the access of ICES owners to capital markets. This paper discusses procedures whereby ICES concepts can be economically evaluated and consistently compared.
This report briefly describes the SIRIUS-M facility design, the economic model and default values for the economic parameters, the scaling laws used for each account item and the sources of scaling laws, the resulting costs (direct, indirect and capital and operating costs, and the total lifetime cost and the cost per dpa-l (measure and damage in the test modules) for the two cases: the present 2m reactor cavity, which is reflected light limited, and a hypothetical 1.5m reactor cavity, which would be target debris limited. 44 refs., 19 figs., 17 tabs
For nuclear utilities to become competitive in a deregulated electricity market, costs must be reduced, safety must be maintained, and interested stakeholders must remain content with the decisions being made. One way to reduce costs is to reduce the frequency of preventive maintenance and testing. However, these changes must be weighed against their impact on safety and stakeholder relations. We present a methodology that allows the evaluation of decision options using a number of objectives that include safety, economics, and stakeholder relations. First, the candidate decision options are screened to make sure that they satisfy the relevant regulatory requirements. The remaining options are evaluated using multiattribute utility theory. The results of the formal analysis include a ranking of the options according to their desirability as well as the major reasons that explain this ranking. These results are submitted to a deliberative process in which the decision makers scrutinize the results to ensure that they are meaningful. During the deliberation, new decision options may be formulated based on the insights that the formal analysis provides, as happened in the case study of this paper. This case study deals with the reduction in frequency of the containment integrated leak rate test of a boiling water reactor
Huang, Ivy B; Keisler, Jeffrey; Linkov, Igor
Decision-making in environmental projects requires consideration of trade-offs between socio-political, environmental, and economic impacts and is often complicated by various stakeholder views. Multi-criteria decision analysis (MCDA) emerged as a formal methodology to face available technical information and stakeholder values to support decisions in many fields and can be especially valuable in environmental decision making. This study reviews environmental applications of MCDA. Over 300 papers published between 2000 and 2009 reporting MCDA applications in the environmental field were identified through a series of queries in the Web of Science database. The papers were classified by their environmental application area, decision or intervention type. In addition, the papers were also classified by the MCDA methods used in the analysis (analytic hierarchy process, multi-attribute utility theory, and outranking). The results suggest that there is a significant growth in environmental applications of MCDA over the last decade across all environmental application areas. Multiple MCDA tools have been successfully used for environmental applications. Even though the use of the specific methods and tools varies in different application areas and geographic regions, our review of a few papers where several methods were used in parallel with the same problem indicates that recommended course of action does not vary significantly with the method applied. PMID:21764422
The objective of this critical review is to evaluate and summarize the literature on economic tools used to improve environmental decision making. Environmental decisions are complicated by pervasive uncertainty, and the lack of consensus on goals and on tradeoffs, such as air versus water pollution and versus loss of coal mining jobs. Five decision frameworks are used by regulatory agencies to simplify decision making. Congress' choice of a decision framework designates the amount of data and analysis that will be required and the range and depth of social values that must be considered. Economic incentives have worked well for phasing out lead in gasoline, for increasing recycling and for reducing the volume of municipal solid waste. Congress has mandated incentives for acid rain and CFCs, and several countries have implemented carbon taxes to abate greenhouse gas emissions. Economic tools have become more central to the analysis and implementation of environmental policies; their role should continue to increase. We conclude that economic tools are extremely valuable, although their application is difficult
Planning is what sustains an energy system. It is a process of analysis and ongoing decision making about what resources and energy technologies to use when supplying energy to society. This research focuses on integrated energy systems, i.e. systems that are comprised of several energy carriers electricity, gas, hot water - and energy distribution networks. The planning of these kinds of systems is a complex process, influenced by many factors, among which the most important are the availa...
James K. Lein
Full Text Available Urban sustainability involves a re-examination of urban development including environmental, social and economic policies and practices that acknowledge the role of cities in global environmental change. However, sustainability remains a broadly defined concept that has been applied to mean everything from environmental protection, social cohesion, economic growth, neighborhood design, alternative energy, and green building design. To guide sustainability initiatives and assess progress toward more sustainable development patterns this construct requires a means to place this concept into a decision-centric context where change can be evaluated and the exploitation of resources, the direction of investment, the orientation of technological development, and institutional programs can be made more consistent with future as well as present needs. In this study the problem of sustainability assessment was examined and a method that couples scenario analysis with spatial multicriteria decision analysis was introduced. The integration of a spatial multicriteria decision analysis (MCDA model for sustainable development with scenario planning resulted in an interpretation of sustainability that is more appropriate for local conditions and useful when exploring sustainabilitys semantic uncertainties, particularly those alternate perspectives that influence future environments.
Suggests that cost-benefit analysis can be a helpful tool for assessing difficult and complex problems in child care facilities. Defines cost-benefit analysis as an approach to determine the most economical way to manage a program, describes how to analyze costs and benefits through hypothetical scenarios, and discusses some of the problems
Many nuclear plants in the United States will reach their licensed plant lifetime (40 yr) in the next decade, a decision on whether to refurbish the existing plants or replace them will be necessary. Such decisions typically need to be made at least 10 yr prior to the nuclear plant license's expiration to allow time to plan for the potential replacement capacity. This paper reports on a study comparing the cost of extending the life of an existing nuclear plant to the cost of either a new coal-fired power plant or a new gas-fired combined-cycle plant. Pertinent input parameters and assumptions used in this paper are presented in a table. An overall net benefit for nuclear plant life extension (NUPLEX) is indicated
Patrícia Coelho de, Soárez; Marta Oliveira, Soares; Hillegonda Maria Dutilh, Novaes.
Full Text Available A maioria das avaliações econômicas que participam dos processos de decisão de incorporação e financiamento de tecnologias dos sistemas de saúde utiliza modelos de decisão para avaliar os custos e benefícios das estratégias comparadas. Apesar do grande número de avaliações econômicas conduzidas no B [...] rasil, há necessidade de aprofundamento metodológico sobre os tipos de modelos de decisão e sua aplicabilidade no nosso meio. O objetivo desta revisão de literatura é contribuir para o conhecimento e o uso de modelos de decisão nos contextos nacionais das avaliações econômicas de tecnologias em saúde. Este artigo apresenta definições gerais sobre modelos e preocupações com o seu uso; descreve os principais modelos: árvore de decisão, Markov, microssimulação, simulação de eventos discretos e dinâmicos; discute os elementos envolvidos na escolha do modelo; e exemplifica os modelos abordados com estudos de avaliação econômica nacionais de tecnologias preventivas e de programas de saúde, diagnósticas e terapêuticas. Abstract in english Most economic evaluations that participate in decision-making processes for incorporation and financing of technologies of health systems use decision models to assess the costs and benefits of the compared strategies. Despite the large number of economic evaluations conducted in Brazil, there is a [...] pressing need to conduct an in-depth methodological study of the types of decision models and their applicability in our setting. The objective of this literature review is to contribute to the knowledge and use of decision models in the national context of economic evaluations of health technologies. This article presents general definitions about models and concerns with their use; it describes the main models: decision trees, Markov chains, micro-simulation, simulation of discrete and dynamic events; it discusses the elements involved in the choice of model; and exemplifies the models addressed in national economic evaluation studies of diagnostic and therapeutic preventive technologies and health programs.
The purpose of this study is to clarify the role of nuclear power generation under the circumstances of growing concerns about environmental impact and to help decision making in electricity sector. In this study, efforts are made to estimate electricity power generation cost of major power options by incorporating additional cost to reduce environmental impact and to suggest an optimal plant mix in this case. (Author)
Andreea Lorena RADU
Full Text Available Investment projects represent the basis of economic and social development of our country. The investment is a cost that will most influence the future, but it is necessary that this influence should be not only positive, but also should exceed the investment efforts. There could be different sources of financing the investment, but lately, European grants are more and more accessed by various economic agents or institutions. To obtain European financing, the project must fulfill certain conditions and must follow certain economic, social and environmental indicators. Also, for some financing lines, is required the economic analysis preparation, in order to demonstrate that the project benefits to society are important and cover the investments efforts. Thus, economic analysis studies the project influence on macro-economic or regional level, and evaluates its contribution to the welfare of the region or local community. The present paper aims to analyze the most important and available theoretical resources and to provide practical examples for carrying out the economic analysis. In conclusion, economic analysis is an useful tool for each project evaluation, but the biggest barriers to its development are the lack of valid data and the reduced Romanian experience. Under these conditions, input data can be incorrectly estimated, resulting illusory and subjective project data. For a proper projects selection based on indicators of economic assessment, it must be developed a national, complete and complex guide.
We present a technique that enhances computer-assisted decision (CAD) systems with the ability to assess the reliability of each individual decision they make. Reliability assessment is achieved by measuring the accuracy of a CAD system with known cases similar to the one in question. The proposed technique analyzes the feature space neighborhood of the query case to dynamically select an input-dependent set of known cases relevant to the query. This set is used to assess the local (query-specific) accuracy of the CAD system. The estimated local accuracy is utilized as a reliability measure of the CAD response to the query case. The underlying hypothesis of the study is that CAD decisions with higher reliability are more accurate. The above hypothesis was tested using a mammographic database of 1337 regions of interest (ROIs) with biopsy-proven ground truth (681 with masses, 656 with normal parenchyma). Three types of decision models, (i) a back-propagation neural network (BPNN), (ii) a generalized regression neural network (GRNN), and (iii) a support vector machine (SVM), were developed to detect masses based on eight morphological features automatically extracted from each ROI. The performance of all decision models was evaluated using the Receiver Operating Characteristic (ROC) analysis. The study showed that the proposed reliability measure is a strong predictor of the CAD system's case-specific accuracy. Specifically, the ROC area index for CAD predictions with high reliability was significantly better than for those with low reliability values. This result was consistent across all decision models investigated in the study. The proposed case-specific reliability analysis technique could be used to alert the CAD user when an opinion that is unlikely to be reliable is offered. The technique can be easily deployed in the clinical environment because it is applicable with a wide range of classifiers regardless of their structure and it requires neither additional training nor building multiple decision models to assess the case-specific CAD accuracy
The prime objective in this talk is to explore the impact of widely different (or hypothetical) fuel cycle requirement rather than to attempt to predict a probable scenario. In the course of preparation of this talk, it was realized that, despite the very speculative nature of this kind of endeavor, studies like these are considered essential to the long-range planning needs of the national nuclear power industry, utilities and those providing supporting services, even though the current presentation are extremely primitive in that purpose. A nuclear electricity utility tries to reduce fuel cycle costs. But the problems have to be approached with a long-term perspective, and the logical conclusion is that utility has to make technical progress. As nuclear generation gradually become great, supplies of the fuel cycle services are responsible for the R and D about the nuclear fuel cycle services which is useful to implement the technical choices they propose. Then it is for the utility to choose according to his knowledge, if necessary by carrying out additional research. But only the utility acquires real operating experience and prototype reactor or laboratory tests offer limited knowledge quantities. One way to ensure a good guarantee of supply is, obviously, to make the order far enough ahead of time to have a stock. But, on the other hand, stocks are expensive and should be kept to a strict minimum. Therefore, a detailed analysis of uncertainties is required, as well as an effort to optimize the handling of the overall problem. As mentioned earlier, in recent years, specifically the right way to handle the back-end of the fuel cycle has been always hotly contested and ultimately it was a question of reprocessing or direct disposal of spent fuel elements. Direct disposal of spent fuel is, at present, the only possibility of spent fuel disposal option available to the Korean utility. Korea, having virtually no indigenous uranium resources, can hardly afford to forego reusing recoverable nuclear fuel, and thus reprocessing, in the long run
Gethmann, Jörn; Probst, Carolina; Sauter-Louis, Carola; Conraths, Franz Josef
Although there is a long tradition of research on animal disease control, economic evaluation of control measures is rather limited in veterinary medicine. This may, on the one hand, be due to the different types of costs and refunds and the different people and organizations bearing them, such as animal holders, county, region, state or European Union, but it may also be due to the fact that economic analyses are both complex and time consuming. Only recently attention has turned towards economic analysis in animal disease control. Examples include situations, when decisions between different control measures must be taken, especially if alternatives to culling or compulsory vaccination are under discussion. To determine an optimal combination of control measures (strategy), a cost-benefit analysis should be performed. It is not necessary to take decisions only based on the financial impact, but it becomes possible to take economic aspects into account. To this end, the costs caused by the animal disease and the adopted control measures must be assessed. This article presents a brief overview of the methodological approaches used to retrospectively analyse the economic impact of two particular relevant diseases in Germany in the last few years: Blue-tongue disease (BT) and Bovine Spongiform Encephalopathy (BSE). PMID:26697715
During the past few years several international organizations (ICRP, IAEA, OECD/NEA), in revising their radiation protection principles, have emphasized the importance of the rationalization and planning of intervention after a nuclear accident. An accident itself and the introduction of protective action entails risks to the people affected, monetary costs and social disruption. Thus protective actions, often including objectives which are difficult to control simultaneously, cannot be undertaken without careful contemplation and consideration of the essential consequences of decisions. Often during an accident there is not enough time for careful consideration. Decision analysis is an analyzing and thought guiding method for the definition of objectives and comparison of options. It is an appropriate methodology assisting in rendering explicit and apparent all factors involved and evaluating their relative importance. The planning of intervention with the help of decision analysis is portion of the preparation for accident situations. In this report one of the techniques of decision analysis, multi-attribute utility analysis, is presented, as concerns its application in planning protective actions in the event of radiation accidents. (orig.)
George HALKOS; Tzeremes, Nickolaos
This paper by using Data Envelopment Analysis (DEA) and statistical inference evaluates the citation performance of 229 economic journals. The paper categorizes the journals into four main categories (A to D) based on their efficiency levels. The results are then compared to the 27 âcore economic journalsâ as introduced by Dimond (1989). The results reveal that after more than twenty years Diamondsâ list of âcore economic journalsâ is still valid. Finally, for the first time the paper uses da...
Kotsis, Sandra V.; Chung, Kevin C.
Although economic evaluation has become more popular among medical professionals, its use in surgery is still lacking. Economic evaluation is used even less so in plastic surgery in which health-related quality of life is of particular importance. The purpose of this paper, part of a tutorial series on Evidence Based Medicine, will focus on the fundamental principles of conducting a surgery economic analysis.
Udude Celina C; Okulegu Bethran Enyim
This research work employed the use of cointegration analysis in the study of export and economic growth in Nigeria. It was embarked on, in order to determine whether there is bi-directional relationship between exports and economic growth in Nigeria. More so, it tries to evaluate significant impact of exports on the economic growth in Nigeria. On the application of advanced econometric techniques like Augumented Dickey Fuller and Phillips Perron Unit Root Test, Johansen Cointegration Test an...
Halkos, George; Tzeremes, Nickolaos
This paper by using Data Envelopment Analysis (DEA) and statistical inference evaluates the citation performance of 229 economic journals. The paper categorizes the journals into four main categories (A to D) based on their efficiency levels. The results are then compared to the 27 core economic journals as introduced by Dimond (1989). The results reveal that after more than twenty years Diamonds list of core economic journals is still valid. Finally, for the first time the paper uses da...
Héraud, Jean-Alain; Ionescu, Oana
This article addresses the following question: How to deal with uncertainty, emergence of new information and irreversibility in the decision process of the long-term disposal of radioactive waste? Intuitively, one might think that measures taken today are more relevant when they are exible. We show that the theoretical economic insights supplements this intuition and more precisely we emphasize the real options theory as one means of valuing exible strategies in the disposal of highly radi...
P. Gnip; Kafka, S.; J. ?epický; Charvát, K.
The system of Precision farming guarantees a detail monitoring of data and information necessary for a successful decision in a crop production. The system is designed for a data collection from several sources. The data are collected by a service company and also directly by farmers. The paper also analyses the economical efficiency on the base of Medlov Farm. Next development is currently running under projects Prezem and AgriSensor.
Full Text Available The system of Precision farming guarantees a detail monitoring of data and information necessary for a successful decision in a crop production. The system is designed for a data collection from several sources. The data are collected by a service company and also directly by farmers. The paper also analyses the economical efficiency on the base of Medlov Farm. Next development is currently running under projects Prezem and AgriSensor.
The development of the energy market, the introduction of new restrictions for minimizing the environmental impact of some generation technologies and the technological development in the area of strategic interest, produced the increase of the interest for high efficiency generation technologies. The energy consumption trends shows that, neglecting the considered economic increase scenario, the forecast of the world energy needs is an increase of global energy consumption. One possibility of improving the energy utilization and, at the same time, reducing the environmental pressure is represented by the introduction of small size combined heat and power production in buildings supplying local customers. In this paper typical building types and their energy needs are considered in order to estimate the environmental benefits and the economic feasibility of combined heat and power plants utilization. (authors)
Social common capital provides members of society with those services and institutional arrangements that are crucial in maintaining human and cultural life. The term Ã¦social common capital' is comprised of three categories: natural capital, social infrastructure, and institutional capital. Natural capital consists of all natural environment and natural resources including the earth's atmosphere. Social infrastructure consists of roads, bridges, public transportation systems, electricity, and other public utilities. Institutional capital includes hospitals, educational institutions, judicial and police systems, public administrative services, financial and monetary institutions, and cultural capital. This book attempts to modify and extend the theoretical premises of orthodox economic theory to make them broad enough to analyze the economic implications of social common capital. It further aims to find the institutional arrangements and policy measures that will bring about the optimal state of affairs.
Companies linked to the lumber activities began to concern about the valorization of their industrial residues: either by creating new products or by utilizing them for energy generation. At the same time, companies from other sectors began investing in reforestations dedicated to energy generation (mainly eucalyptus), induced by the possibility of obtaining tax incentives and by the need of assuring their own provisions of wood, thus minimizing this raw-material, as well as its sensibility to the variation of its price in the market. However almost nothing have been researched, either about the economical feasibility of energetic valorization of the lumber in the form of industrial residues or as wood supplied by reforestation dedicated to energy generation. This dissertation propose to examine those cases analysing the concerned costs and their economical feasibility. (author). 20 refs., 19 figs., 32 tabs
Engel, David W.; Dalton, Angela C.; Dale, Crystal; Jones, Edward; Thompson, J.
Risk analysis and decision making is one of the critical objectives of CCSI, which seeks to use information from science-based models with quantified uncertainty to inform decision makers who are making large capital investments. The goal of this task is to develop tools and capabilities to facilitate the development of risk models tailored for carbon capture technologies, quantify the uncertainty of model predictions, and estimate the technical and financial risks associated with the system. This effort aims to reduce costs by identifying smarter demonstrations, which could accelerate development and deployment of the technology by several years.
Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting
This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.
Establishment of a nuclear research facility should be the first step in planning for introducing the nuclear energy to Saudi Arabia. The fuzzy set decision theory is selected among different decision theories to be applied for this analysis. Four research reactors from USA are selected for the present study. The IFDA computer code, based on the fuzzy set theory is applied. Results reveal that the FNR reactor is the best alternative for the case of Saudi Arabian nuclear research facility, and MITR is the second best. 17 refs
Islamic banking has achieved substantial growth in Pakistan and all over the world in the last two decades or so. Despite the financial and economic crisis of 2007 and afterwards, the Islamic banking industry has witnessed exemplary and uninterrupted growth. In Pakistan, it has achieved market share of almost 9% in the banking industry. There is vast literature available on explaining the features and mechanics of Islamic banking; however, limited attention has been paid on the thorough analy...
Sajjad ur Rehman; Roslina Othman
The study tested the hypothesis that Islamic economics literature exhibits the features of the Bradfordian Law of Scattering while identifying core authors, publishers, sources of literature, and countries of origin. A database of 3,026 citations was created with information about the four primary measures. The occurrence counts were tabulated and displayed in bibliographs as essential instruments for hypothesis testing. It was found that the hypothesis could not be supported as the immature ...
An economic guide is developed to assess the value of anaerobic digesters used on dairy farms. Two varieties of anaerobic digesters, a conventional mixed-tank mesophilic and an innovative earthen psychrophilic, are comparatively evaluated using a cost-effectiveness index. The two case study examples are also evaluated using three other investment merit statistics: simple payback period, net present value, and internal rate of return. Life-cycle savings are estimated for both varieties, with sensitivities considered for investment risk. The conclusion is that an earthen psychrophilic digester can have a significant economic advantage over a mixed-tank mesophilic digester because of lower capital cost and reduced operation and maintenance expenses. Because of this economic advantage, additional projects are being conducted in North Carolina to increase the rate of biogas utilization. The initial step includes using biogas for milk cooling at the dairy farm where the existing psychrophilic digester is located. Further, a new project is being initiated for electricity production with thermal reclaim at a swine operation
Full Text Available The fundamental economic reality of fossil fuels is that such fuels are found only in a relatively small number of locations across the globe, yet are consumed everywhere. The economic reality, by contrast, is that solar resources are available, in varying degrees, all over the world. Fossil fuel and solar resource use are thus poles apart not just because of the environmental effects, but also because of the fundamentally different economical, logical and differing political, social and cultural consequences. These differences must be acknowledged if the full spectrum of opportunity for solar resources is to be exploited. Therefore, this study concentrates on solar power as a renewable source of energy. It has many benefits compared to fossil fuels. It is clean and green, nonpolluting and everlasting energy. For this reason it has attracted more attention than other alternative sources of energy in recent years. Many energy economists say that solar energy is going to play an increasingly important role in all our lives. To highlight the importance of such a source of energy becomes not only important but also inevitable. This paper analyzes the determining factors of solar energy usage and also analyse the cost benefit of the different solar energy devises usage.
This study gives special emphasis on the forecast of maximum power. As long as stable supply of power is concerned, maximum power plays more important role than electricity demand itself. Several methods for the forecast of maximum power are analyzed and tested. A model entitled Uri model is selected and as a result maximum power forecast is performed until the year 2005 using this model. It is also endeavored to build elaborated and consistent series of data on the O and M cost of power plant that is necessary for the decision of optimal plant mix. Finally, electric system expansion planning is performed through WASP using data built above. (author)
Salling, Kim Bang
The subject of this thesis is risk analysis and decision support in the context of transport infrastructure assessment. During my research I have observed a tendency in studies of assessing transport projects of overlooking the substantial amount of uncertainties within the decision making process...... transport projects, namely by moving from point estimates to interval results. The main focus of this Ph.D. study has been to develop a valid, flexible and functional decision support tool in which risk oriented aspects of project evaluation is implemented. Throughout the study six papers have been produced...... choosing probability distributions and performing real term data fits. The perspective of this Ph.D. study presents newer and better understanding of assigning risks within assessment of transport projects....
As a precondition for the discussion of the interrelation of risk research and technology-policy decision-making processes one has to concern oneself with the decision-making models used in the discussion on risks. Three such models are described and discussed: a) the model of direct comparison of inherent risks, b) the model discriminating between risk analysis and risk assessment, c) the model of 'risk anatomy' according to W.D. Rowe taking into account the multidimensional character of the term 'risk'. Some typical difficulties of the risk assessment dispute are described in brief. They concern the risk standards, assessment of benefits, risk perception by society, expressed preferences and acceptance of technology-policy decisions. (RF)
The objective of this paper is to show, from an economic and financial point of view, the effects of the capital expenditure programme of the Laguna Verde Nuclear Power Plant Project on costs in terms of investment per kWh generated. An economic and a financial analysis are therefore included. Various investment periods and balanced costs are considered
Yuracko, K.L.; Gresalfi, M. [Oak Ridge National Lab., TN (United States); Yerace, P. [Dept. of Energy, Fernald, OH (United States). Fernald Environmental Management; Flora, J. [West Valley Demonstration Project, NY (United States); Krstich, M.; Gerrick, D. [Environmental Management Solutions, Mason, OH (United States)
This paper describes a life cycle analysis (LCA) approach that makes decontamination and decommissioning (D and D) of US Department of Energy facilities more efficient and more responsive to the concerns of the society. With the considerable complexity of D and D projects and their attendant environmental and health consequences, projects can no longer be designed based on engineering and economic criteria alone. Using the LCA D and D approach, the evaluation of material disposition alternatives explicitly includes environmental impacts, health and safety impacts, socioeconomic impacts, and stakeholder attitudes -- in addition to engineering and economic criteria. Multi-attribute decision analysis is used to take into consideration the uncertainties and value judgments that are an important part of all material disposition decisions. Use of the LCA D and D approach should lead to more appropriate selections of material disposition pathways and a decision-making process that is both understandable and defensible. The methodology and procedures of the LCA D and D approach are outlined and illustrated by an application of the approach at the Department of Energy`s West Valley Demonstration Project. Specifically, LCA was used to aid decisions on disposition of soil and concrete from the Tank Pad D and D Project. A decision tree and the Pollution Prevention/Waste Minimization Users Guide for Environmental Restoration Projects were used to identify possible alternatives for disposition of the soil and concrete. Eight alternatives encompassing source reduction, segregation, treatment, and disposal were defined for disposition of the soil; two alternatives were identified for disposition of the concrete. Preliminary results suggest that segregation and treatment are advantageous in the disposition of both the soil and the concrete. This and other recent applications illustrate the strength and ease of application of the LCA D and D approach.
This paper describes a life cycle analysis (LCA) approach that makes decontamination and decommissioning (D and D) of US Department of Energy facilities more efficient and more responsive to the concerns of the society. With the considerable complexity of D and D projects and their attendant environmental and health consequences, projects can no longer be designed based on engineering and economic criteria alone. Using the LCA D and D approach, the evaluation of material disposition alternatives explicitly includes environmental impacts, health and safety impacts, socioeconomic impacts, and stakeholder attitudes -- in addition to engineering and economic criteria. Multi-attribute decision analysis is used to take into consideration the uncertainties and value judgments that are an important part of all material disposition decisions. Use of the LCA D and D approach should lead to more appropriate selections of material disposition pathways and a decision-making process that is both understandable and defensible. The methodology and procedures of the LCA D and D approach are outlined and illustrated by an application of the approach at the Department of Energy's West Valley Demonstration Project. Specifically, LCA was used to aid decisions on disposition of soil and concrete from the Tank Pad D and D Project. A decision tree and the Pollution Prevention/Waste Minimization Users Guide for Environmental Restoration Projects were used to identify possible alternatives for disposition of the soil and concrete. Eight alternatives encompassing source reduction, segregation, treatment, and disposal were defined for disposition of the soil; two alternatives were identified for disposition of the concrete. Preliminary results suggest that segregation and treatment are advantageous in the disposition of both the soil and the concrete. This and other recent applications illustrate the strength and ease of application of the LCA D and D approach
We built and implemented WaterSim, a simulation model, to investigate how alternative climate conditions, rates of population growth, and policy choices interact to affect future water supply and demand conditions in Phoenix, Arizona USA. This paper: (1) outlines the objectives and structure of WaterSim; (2) demonstrates the application of the model through a series of simulation experiments; (3) shows how the model is used for decision analysis, scenario planning, and climate adaptation; and (4) delineates the difficult choices that lie ahead for water decision makers in Phoenix. Simulation results show that policy action will be needed to attain water sustainability in 2030, even without reductions in river flows caused by climate change. Climate adaptation requires decision makers to manage the long-term risk of climate change and balance cricial tradeoffs, using tools such as WaterSim to explore the consequences of potential policy decisions. Figure 1: WaterSim in Decision Theater Photo Credit: Dustin Hampton Figure 2. WaterSim results
Full Text Available Characterization of the response of the host immune system is important in understanding the bidirectional interactions between the host and microbial pathogens. For research on the host site, flow cytometry has become one of the major tools in immunology. Advances in technology and reagents allow now the simultaneous assessment of multiple markers on a single cell level generating multidimensional data sets that require multivariate statistical analysis. We explored the explanatory power of the supervised machine learning method called 'induction of decision trees' in flow cytometric data. In order to examine whether the production of a certain cytokine is depended on other cytokines, datasets from intracellular staining for six cytokines with complex patterns of co-expression were analyzed by induction of decision trees. After weighting the data according to their class probabilities, we created a total of 13,392 different decision trees for each given cytokine with different parameter settings. For a more realistic estimation of the decision trees's quality, we used stratified 5-fold cross-validation and chose the 'best' tree according to a combination of different quality criteria. While some of the decision trees reflected previously known co-expression patterns, we found that the expression of some cytokines was not only dependent on the co-expression of others per se, but was also dependent on the intensity of expression. Thus, for the first time we successfully used induction of decision trees for the analysis of high dimensional flow cytometric data and demonstrated the feasibility of this method to reveal structural patterns in such data sets.
Hong, Gi Hoon; Kim, Suk Hyun; Suedel, Burton C; Clarke, Joan U; Kim, Jongbum
To meet London Protocol requirements, South Korea is preparing to reduce the need for disposal of dredged material at sea. The new requirements controlling ocean disposal of dredged material pose significant challenges to the South Korean government, because the previous practice of offshore disposal of contaminated dredged material is no longer permitted. Hence, other alternatives for treating and disposing of contaminated dredged material are being evaluated and selected for implementation. A new management and decision approach is therefore needed for regulators and implementers to show what information and what decision-making processes were used to make the decision, to increase administrative transparency for such projects in the public domain. To address this need, an iterative approach was developed for dredged material management that includes the essential elements of process, people, and tools needed for successful environmental decision making. The approach has 6 steps: problem definition, developing objectives and criteria, identifying alternatives, performing the evaluation, comparing alternatives, and selecting the preferred alternative. The primary objective of the approach is to provide a systematic means of exploring contaminated dredged material management alternatives in South Korea using criteria that integrate risk with economic and stakeholder value information. The approach incorporates the desired decision-making attributes of transparency, comparative analysis, and inclusion of public input. Although it was developed for South Korea, the approach can be applied in any situation in which dredged material management alternatives are being considered to manage contaminated sediment risks. PMID:20821675
This manual enables the US Air Force to comprehensively and systematically analyze alternative approaches to meeting its military construction requirements. The manual includes step-by-step procedures for completing economic analyses for military construction projects, beginning with determining if an analysis is necessary. Instructions and a checklist of the tasks involved for each step are provided; and examples of calculations and illustrations of completed forms are included. The manual explains the major tasks of an economic analysis, including identifying the problem, selecting realistic alternatives for solving it, formulating appropriate assumptions, determining the costs and benefits of the alternatives, comparing the alternatives, testing the sensitivity of major uncertainties, and ranking the alternatives. Appendixes are included that contain data, indexes, and worksheets to aid in performing the economic analyses. For reference, Volume 2 contains sample economic analyses that illustrate how each form is filled out and that include a complete example of the documentation required
This paper presents the economic data used in the detailed economic analysis carried out in the U.S. paper WG-40 and is also used to arrive at the economics conclusions in U.S. papers WG 5A-19 and WG 5A-22. The data base includes reactor characteristics for the standard, 15 percent improved and 30 percent improved LWR plus the FBR system characteristics, fuel cost data, reactor plant capital cost data, and economic data (debt rate, equity rate, fixed charge rate, etc.)
In this and previous efforts ECON has provided economic assessment of a fusion research program. This phase of study focused on two tasks, the first concerned with the economics of fusion in an economy that relies heavily upon synthetic fuels, and the second concerned with the overall economic effects of pursuing soft energy technologies instead of hard technologies. This report is organized in two parts, the first entitled An Economic Analysis of Coproduction of Fusion-Electric Energy and Other Products, and the second entitled Arguments Associated with the Choice of Potential Energy Futures
Ioannis Trigonis; Ourania Matsouka; George Costa; George Tzetzis
The purpose of this study is to determine the role of the employers demographic and socio-economic characteristics in his/her decision to introduce and organize sports programmes in their companies. The sample of this research consisted of more than one hundred employers employing more than thirty workers each, in the districts of Rodopi, Kozani, and Thessaloniki. A survey was conducted in which the employers were asked to provide information and statistical data about the people working in ...
Grégoire Jean-Pierre; Rindress Donna; Khoury Hanane; Wagner Monika; Goetghebeur Mireille M; Deal Cheri
Abstract Objectives To test and further develop a healthcare policy and clinical decision support framework using growth hormone (GH) for Turner syndrome (TS) as a complex case study. Methods The EVIDEM framework was further developed to complement the multicriteria decision analysis (MCDA) Value Matrix, that includes 15 quantifiable components of decision clustered in four domains (quality of evidence, disease, intervention and economics), with a qualitative tool including six ethical and he...
A software system called the Waste Flow Analysis has been developed and applied to complex environmental management processes for the United States Department of Energy (US DOE). The system can evaluate proposed methods of waste retrieval, treatment, storage, transportation, and disposal. Analysts can evaluate various scenarios to see the impacts to waste slows and schedules, costs, and health and safety risks. Decision analysis capabilities have been integrated into the system to help identify preferred alternatives based on a specific objectives may be to maximize the waste moved to final disposition during a given time period, minimize health risks, minimize costs, or combinations of objectives. The decision analysis capabilities can support evaluation of large and complex problems rapidly, and under conditions of variable uncertainty. The system is being used to evaluate environmental management strategies to safely disposition wastes in the next ten years and reduce the environmental legacy resulting from nuclear material production over the past forty years
Full text: There is growing interest in understanding the potential impacts of climate change in Australia, and especially the economic impacts of 'inaction'. In this study, a preliminary analysis of the possible economic impacts of future climate change in Australia is undertaken using ABARE's general equilibrium model of the global economy, GTEM. In order to understand the potential economy-wide economic impacts, the broad climatic trends that Australia is likely to experience over the next several decades are canvassed and the potential economic and non-economic impacts on key risk areas, such as water resources, agriculture and forests, health, industry and human settlements and the ecosystems, are identified. A more detailed analysis of the economic impacts of climate change are undertaken by developing two case studies. In the first case study, the economic impact of climate change and reduced water availability on the agricultural sector is assessed in the Murray-Darling Basin. In the second case study, the sectoral economic impacts on the Australian resources sector of a projected decline in global economic activity due to climate change is analysed. The key areas of required development to more fully understand the economy-wide and sectoral impacts of climate change are also discussed including issues associated with estimating both non-market and market impacts. Finally, an analytical framework for undertaking integrated assessment of climate change impacts domestically and globally is developed
Full Text Available This study investigated the relationship between financial development and economicgrowth for Ireland for the period 1965-2007 using a vector error correction model (VECM.Questions were raised whether financial development causes economic growth or reverselytaking into account the positive effect of industrial production index. Financial marketdevelopment is estimated by the effect of credit market development and stock marketdevelopment on economic growth. The objective of this study was to examine the long-runrelationship between these variables applying the Johansen cointegration analysis takinginto account the maximum eigenvalues and trace statistics tests. Granger causality testsindicated that economic growth causes credit market development, while there is a bilateralcausal relationship between stock market development and economic growth. Therefore, itcan be inferred that economic growth has a positive effect on stock market development andcredit market development taking into account the positive effect of industrial productiongrowth on economic growth for Ireland.
Análise de decisões sobre uso de tecnologia: um estudo no setor de telefonia móvel fundamentado nos axiomas da economia comportamental / Analysis of decisions on the use of technology: a study in the mobile telephone sector grounded in the axioms of behavioral economics
Alexandre, Cappellozza; Otavio Prospero, Sanchez.
Full Text Available A Economia Comportamental, campo que recebeu grandes contribuições de Kahneman e Tversky e que rendeu um prêmio Nobel ao primeiro, é uma abordagem que se tem ocupado em caracterizar e analisar variados aspectos do comportamento decisório humano, descrevendo-o como não plenamente racional. Sua import [...] ância está em questionar a racionalidade da Teoria da Utilidade Esperada, TUE, aceito por décadas como modelo fundamental na economia. O objetivo deste artigo é verificar como as decisões sobre a adoção e uso de equipamentos e serviços apoiados por tecnologia são afetadas pelos aspectos influenciadores da decisão, preconizados por Kahneman e Tversky. Para tanto, o trabalho foi conduzido por meio de experimento adaptado ao contexto do segmento de telefonia móvel, setor esse escolhido pela sua relevância nos últimos anos na economia brasileira. Os dados foram analisados por técnicas de comparação de grupos com variáveis categóricas. Os resultados permitiram evidenciar vários aspectos da não-racionalidade dos decisores conforme apregoado pelos autores originais, especialmente em relação a aspectos contidos na chamada Teoria dos Prospectos (Prospect Theory). A partir das descobertas, pode-se questionar decisões sobre a utilização de tecnologia no nível do indivíduo e organizações, com importantes conseqüências no nível gerencial. Abstract in english Behavioral economics, a field that has received major contributions from Kahneman and Tversky, the former also having received a Nobel prize, is an approach that has focused on a number of aspects of behavior in human decisions, defining their outcomes as not being fully rational. Its main contribut [...] ion was conquered by questioning the so far very well established Utility Theory, a very important basis in economics. This article aims to verify how decisions concerning the adoption and use of information technology are potentially affected by the factors described in Kahneman and Tversky's theory. This was done by means of an experiment adapted to the context of the mobile communications sector, which was chosen due to its economic and social relevance in recent years in Brazil. The data were analyzed by means of categorical group comparison techniques. The results provided evidence of non-rational behavior amongst decision makers as proposed by original authors, mainly those regarding aspects of the Prospect Theory. With this evidence, it is possible to question a number of aspects of individual and organizational decisions involving the use of information technology use, with important implications at the managerial levels.
Full Text Available The paper aimed to analyze economic efficiency in broilers fattening . In this purpose , the study was carried out at Breading Prod Commercial Company, Giarmata, Timis County . The economic and financial results of two series of broilers fattening have been comparatively analyzed based on the following specific indicators variable costs ( one day chicken supply , medicines, disinfectants , veterinary services , straw bed, feeding, fuels, electricity , watering , labor force , fixed costs ( rent, interest, fixed assets depreciation , communication and other taxes , total production costs , cost per marketed broiler, cost per square meter , cost per kg live weight , gross margin , incomes ( incomes coming from marketed broilers and subsidies , profit, profit rate , profit per marketed broiler, profit per square meter, profit per kg live weight , costs to 1,000 incomes and incomes to 1,000 costs. This comparison proved that the higher the chickens series size , the higher costs and incomes . The both fatenning series have profitable but the series S2 registered lower financial performances .
VENUGOPAL .B. S
Full Text Available Adoctor in the course of rendition of medical service to his patient shall comply with certain legal requirements. Accordingly he shall obtain the consent of a patient and the consent so obtained must be an informed one. He shall exercise reasonable care and skill in rendering his professional services. Any lapse on his part in this regard invites liability in the form of trespass for non-consensual treatment and tortious or contractual liability for medical negligence and failure to obtain an informed consent. In the above contemplated circumstances, a doctor attracts liability for deficiency in service under the Consumer Protection Act, subject to the conditions contemplated there in. A patient, if successful in proving medical negligence on the part of a doctor is entitled for compensation which has its own economic ramification both on the doctor as well as the patient. In this article, an attempt is made to critically analyse the concept of medical negligence from the legal and economic perspective.
Lee, Robert C.; Jones, Thomas D.; Chapman, Clark R.
Risk management of near-Earth objects (NEOs; e.g., asteroids and comets) that can potentially impact Earth is an important issue that took on added urgency with the Chelyabinsk event of February 2013. Thousands of NEOs large enough to cause substantial damage are known to exist, although only a small fraction of these have the potential to impact Earth in the next few centuries. The probability and location of a NEO impact are subject to complex physics and great uncertainty, and consequences can range from minimal to devastating, depending upon the size of the NEO and location of impact. Deflecting a potential NEO impactor would be complex and expensive, and inter-agency and international cooperation would be necessary. Such deflection campaigns may be risky in themselves, and mission failure may result in unintended consequences. The benefits, risks, and costs of different potential NEO risk management strategies have not been compared in a systematic fashion. We present a decision analysis framework addressing this hazard. Decision analysis is the science of informing difficult decisions. It is inherently multi-disciplinary, especially with regard to managing catastrophic risks. Note that risk analysis clarifies the nature and magnitude of risks, whereas decision analysis guides rational risk management. Decision analysis can be used to inform strategic, policy, or resource allocation decisions. First, a problem is defined, including the decision situation and context. Second, objectives are defined, based upon what the different decision-makers and stakeholders (i.e., participants in the decision) value as important. Third, quantitative measures or scales for the objectives are determined. Fourth, alternative choices or strategies are defined. Fifth, the problem is then quantitatively modeled, including probabilistic risk analysis, and the alternatives are ranked in terms of how well they satisfy the objectives. Sixth, sensitivity analyses are performed in order to examine the impact of uncertainties. Finally, the need for further analysis, data collection, or refinement is determined. The first steps of defining the problem and the objectives are critical to constructing an informative decision analysis. Such steps must be undertaken with participation from experts, decision-makers, and stakeholders (defined here as "decision participants"). The basic problem here can be framed as: âWhat is the best strategy to manage risk associated with NEOs?â Some high-level objectives might be to minimize: mortality and injuries, damage to critical infrastructure (e.g., power, communications and food distribution), ecosystem damage, property damage, ungrounded media and public speculation, resources expended, and overall cost. Another valuable objective would be to maximize inter-agency/government coordination. Some of these objectives (e.g., âminimize mortalityâ) are readily quantified (e.g., deaths and injuries averted). Others are less so (e.g., âmaximize inter-agency/government coordinationâ), but these can be scaled. Objectives may be inversely related: e.g., a strategy that minimizes mortality may cost more. They are also unlikely to be weighted equally. Defining objectives and assessing their relative weight and interactions requires early engagement with decision participants. High-level decisions include whether to deflect a NEO, when to deflect, what is the best alternative for deflection/destruction, and disaster management strategies if an impact occurs. Important influences include, for example: NEO characteristics (orbital characteristics, diameter, mass, spin and composition), impact probability and location, interval between discovery and projected impact date, interval between discovery and deflection target date, costs of information collection, costs and technological feasibility of deflection alternatives, risks of deflection campaigns, requirements for inter-agency and international cooperation, and timing of informing the public. The analytical aspects of decision analysis center on estimation of the expected value (i.e. utility) of different alternatives. The expected value of an alternative is a function of the probability-weighted consequences, estimated using Bayesian calculations in a decision tree or influence diagram model. The result is a set of expected-value estimates for all alternatives evaluated that enables a ranking; the higher the expected value, the more preferred the alternative. A common way to include resource limitations is by framing the decision analysis in the context of economics (e.g., cost-effectiveness analysis). An important aspect of decision analysis in the NEO risk management case is the ability, known as sensitivity analysis, to examine the effect of parameter uncertainty upon decisions. The simplest way to evaluate uncertainty associated with the information used in a decision analysis is to adjust the input values one at a time (or simultaneously) to examine how the results change. Monte Carlo simulations can be used to adjust the inputs over ranges or distributions of values; statistical means then are used to determine the most influential variables. These techniques yield a measure known as the expected value of imperfect information. This value is highly informative, because it allows the decision-maker with imperfect information to evaluate the impact of using experiments, tests, or data collection (e.g. Earth-based observations, space-based remote sensing, etc.) to refine judgments; and indeed to estimate how much should be spent to reduce uncertainty.
Full Text Available The objective of this research is to identify, in the economic literature, the main factors which constrain the transmission of the fiscal shocks to the real economy. The interest in finding the most efficient fiscal stimuli in recovery the economies passing through crisis period has got increased as soon as the expansionary monetary policy promoted by most of the central banks has not generated an increase of the confidence in the private economic agents and, as a consequence, an increase of consumption and of the private investments. Even though it represents the Keynesian solution for recovery the economies which have been affected by the crisis, the fiscal expansion promoted during the recession periods does not generate the same expected positive effects any more (increase of consumption, significant decrease of unemployment, increase of revenues in economy, as they are conditioned by the reaction of the private economic agents to the fiscal stimuli. For example, the decision to decrease taxation may not automatically generate the significant increase of consumption (a condition for spreading the multiplier effect in economy, under the terms of pessimism or of the difficulty to access loans. As a result, the fiscal multipliers tend to be rather proper, and their value decreases more during the deep economic recession periods.
Murawski, Carsten; Harris, Philip G; Bode, Stefan; Domínguez D, Juan F; Egan, Gary F
Human decision-making is driven by subjective values assigned to alternative choice options. These valuations are based on reward cues. It is unknown, however, whether complex reward cues, such as brand logos, may bias the neural encoding of subjective value in unrelated decisions. In this functional magnetic resonance imaging (fMRI) study, we subliminally presented brand logos preceding intertemporal choices. We demonstrated that priming biased participants' preferences towards more immediate rewards in the subsequent temporal discounting task. This was associated with modulations of the neural encoding of subjective values of choice options in a network of brain regions, including but not restricted to medial prefrontal cortex. Our findings demonstrate the general susceptibility of the human decision making system to apparently incidental contextual information. We conclude that the brain incorporates seemingly unrelated value information that modifies decision making outside the decision-maker's awareness. PMID:22479547
Full Text Available SWOT (strengths, weaknesses, opportunities, threats analysis is useful in the decision-making process crucial to any organization manager and/or strategist. This study aims to add value to the existing literature on SWOT, indicating its use and limitations, showing the need to link SWOT to other strategic tools and methodologies. As the current environment is turbulent and unpredictable, and economic cycles no longer comply with traditional rules, the precaution has become extremely important. Thats why SWOT should be supplemented with newer dynamic analysis capabilities and strategy tools, as early warning and opportunities system (EWOS, which can provide crucial inputs for scenario building, strategic thinking and decisions. EWOS is a novel approach based on three concepts that contribute to the ability of organization/project managers to develop outstanding capacity to "understand" and "benefit" in identifying opportunities and threats: (i business and competitive intelligence; (ii early warning thinking; (iii strategic thinking in decision making process. EWOS is of practical use for strategists and decision makers.
Korea is meeting the growing electric power needs by using nuclear, fissile, hydro energy and so on. But we can not use fissile energy forever, and the people's consideration about nature has been changed. So we have to prepare appropriate energy by the conditions before people need more energy. And we should prepare dynamic response because people's need would be changed as the time goes on. So we designed graphic analysis model (GAM) for the dynamic analysis of decision on the energy sources. It can support Analytic Hierarchy Process (AHP) analysis based on Graphic User Interface
Full Text Available Although the conceptual structure and nature of PESTEL (Political, Economic, Socio-cultural, Technological,Environment and Legal analysis requires an integrated approach to analysis, the technical framework ofPESTEL does not adequately support such an approach. PESTEL analysis, as it stands, mainly provides ageneral idea about the macro environmental conditions and situation of a company. This study presents a modelto address problems encountered in the measurement and evaluation process of PESTEL analysis. The integratedstructure of PESTEL factors and sub-factors were modeled by AHP (Analytic Hierarchy Process and ANP(Analytic Network Process techniques. Relationships between PESTEL factors were determined by DEMATEL(Decision Making Trial and Evaluation Laboratory. Global weights of the sub-factors were calculated usingANP. The PESTEL analysis model proposed in the study could determine the extent to which the macroenvironment of a company provides suitable conditions to achieve the aims of the company.
Greenwood, M J; Ladman, J R
This paper analyzes internal migration in Mexico over the 1960-70 period. A model of the determinants of migration is specified and estimated for aggregated interstate migration flows. Results show that distance serves as a significant deterrent to migration, that higher destination earning levels are attractive to migrants, and that regions with high unemployment rates experience lower rates of inmigration. An unanticipated finding is that regions with higher earning levels have greater rates of outmigration. The data are disaggregated to examine separate migration relationships for each state. The results are that distance is a lesser deterrent for those migrants with more accessible alternatives, that higher earning levels reduce the deterring effects of distance, and that regions with higher earning levels have lower associated elasticities of migration. It is concluded that economic factors have played a crucial role in internal migration and thus in the changing occupational and geographic structure of the Mexican labor force. PMID:12265626
The 2002 Winter Olympics women's figure skating competition is used as a case study to illustrate some of the limitations, pitfalls, and practical difficulties of Multi-Criteria Decision Analysis (MCDA). The paper compares several widely used models for synthesizing the multiple attributes into a single aggregate value. The various MCDA models can provide conflicting rankings of the alternatives for a common set of information even under states of certainty. Analysts involved in MCDA need to deal with the following challenging tasks: (1) selecting an appropriate analysis method, and (2) properly interpreting the results. An additional trap is the availability of software tools that implement specific MCDA models that can beguile the user with quantitative scores. These conclusions are independent of the decision domain and they should help foster better MCDA practices in many fields including systems engineering trade studies.
Henrion, Max; Bernstein, Brock; Swamy, Surya
The 27 oil and gas platforms off the coast of southern California are reaching the end of their economic lives. Because their decommissioning involves large costs and potential environmental impacts, this became an issue of public controversy. As part of a larger policy analysis conducted for the State of California, we implemented a decision analysis as a software tool (PLATFORM) to clarify and evaluate decision strategies against a comprehensive set of objectives. Key options selected for in-depth analysis are complete platform removal and partial removal to 85 feet below the water line, with the remaining structure converted in place to an artificial reef to preserve the rich ecosystems supported by the platform's support structure. PLATFORM was instrumental in structuring and performing key analyses of the impacts of each option (e.g., on costs, fishery production, air emissions) and dramatically improved the team's productivity. Sensitivity analysis found that disagreement about preferences, especially about the relative importance of strict compliance with lease agreements, has much greater effects on the preferred option than does uncertainty about specific outcomes, such as decommissioning costs. It found a near-consensus of stakeholders in support of partial removal and "rigs-to-reefs" program. The project's results played a role in the decision to pass legislation enabling an expanded California "rigs-to-reefs" program that includes a mechanism for sharing cost savings between operators and the state. Integr Environ Assess Manag 2015;X:000-000. © 2015 SETAC. PMID:26415010
DREW, David A.; Lok, Charmaine E.; Cohen, Joshua T.; Wagner, Martin; Tangri, Navdeep; WEINER, Daniel E.
Hemodialysis vascular access recommendations promote arteriovenous (AV) fistulas first; however, it may not be the best approach for all hemodialysis patients, because likelihood of successful fistula placement, procedure-related and subsequent costs, and patient survival modify the optimal access choice. We performed a decision analysis evaluating AV fistula, AV graft, and central venous catheter (CVC) strategies for patients initiating hemodialysis with a CVC, a scenario occurring in over 7...
Waal, A. de; T Ritchey
Morphological analysis (MA) and Bayesian networks (BN) are two closely related modelling methods, each of which has its advantages and disadvantages for strategic decision support modelling. MA is a method for defining, linking and evaluating problem spaces. BNs are graphical models which consist of a qualitative and quantitative part. The qualitative part is a cause-and-effect, or causal graph. The quantitative part depicts the strength of the causal relationships between variables. Combinin...
Wang, Tai-Ran; Mousseau, Vincent; Zio, Enrico
Embracing an all-hazard view to deal with random failures, natural disasters, accidents and malevolent intentional acts, a framework for the vulnerability analysis of safety-critical systems and infras- tructures is set up. A hierarchical structure is used to organise the information on the hazards, which is then manipulated through a decision-making process for vulnerability evaluation. We present the framework and its hierarchical model by way of assessing the susceptibility of a safety-cri...
The studies presented in this thesis address the consequences of market distortions of governmental policies - predominantly in the area of environmental and energy policy. The studies cover different economic aggregation levels: The first study aims at investigating firm-level effects. Thus, the results refer only to a small number of well-defined economic entities, e.g. electricity supply companies in Germany. Subsequently, issues - such as the evaluation of efficiency effects of the European Emissions Trading system - are addressed on a multi-sectoral and multi-regional level, but still only one market is considered. Thereupon, the scope of investigation is broadened by interactions of different markets - e.g. as in the case of the economic evaluation of renewable energy promotion strategies. Finally, a general equilibrium analysis of a European nuclear phase-out scenario covers all economic feed-backs on the national and international level. (orig.) 5.
Full Text Available An article published in this Journal argued that New Zealand does not apply a cost-effectiveness threshold because medicines are funded within a fixed budget and because cost-effectiveness is only one of nine criteria that inform decisions. This Comment has explained that, from a theoretical perspective, the cost-effectiveness threshold model is not inconsistent with these two arguments. The observed annual variation in incremental cost-effectiveness ratios in New Zealand may originate from yearly differences in new medicines that request reimbursement and in the budget size, and from the fact that decision makers take into account other decision criteria in addition to cost-effectiveness.
This paper examines the impact of job accessibility on wages and productivity using Swedish municipality level data on night and daytime wages. The empirical analysis is based on annual data for 290 Swedish municipalities over the period 2005-2011. The strength of this paper lies in its empirical method. By using both Ordinary Least Squares (OLS) and Seemingly Unrelated Regressions (SUR) in a panel data setting, I find that empirical analysis have to take into account the joint determination ...
Matthew Nwokejizie Anyanwu
Full Text Available Classification of data objects based on a predefined knowledge of the objects is a data mining and knowledge management technique used in grouping similar data objects together. It can be defined as supervised learning algorithms as it assigns class labels to data objects based on the relationship between the data items with a pre-defined class label. Classification algorithms have a wide range of applications like churn prediction, fraud detection, artificial intelligence, and credit card rating etc. Also there are many classification algorithms available in literature but decision trees is the most commonly used because of its ease of implementation and easier to understand compared to other classification algorithms. Decision Tree classification algorithm can be implemented in a serial or parallel fashion based on the volume of data, memory space available on the computer resource and scalability of the algorithm. In this paper we will review the serial implementations of the decision tree algorithms, identify those that are commonly used. We will also use experimental analysis based on sample data records (Statlog data sets to evaluate the performance of the commonly used serial decision tree algorithms
Soumerai, S B; Avorn, J
The cost-effectiveness of quality assurance programs is often poorly documented, especially for innovative approaches. The authors analyzed the economic effects of an experimental educational outreach program designed to reduce inappropriate drug prescribing, based on a four-state randomized controlled trial (N = 435 physicians). Primary care physicians randomized into the face-to-face group were offered two individualized educational sessions with clinical pharmacists, lasting an average of 18 minutes each, concerning optimal use of three drug groups that are often used inappropriately. After the program, expenditures for target drugs prescribed by these physicians to Medicaid patients decreased by 13%, compared with controls (P = 0.002); this effect was stable over three quarters. Implementation of this program for 10,000 physicians would lead to projected drug savings (to Medicaid only) of $2,050,000, compared with resource costs of $940,000. Net savings remain high, even after adjustment for use of substitution medications. Although there was a ninefold difference in average preintervention prescribing levels between the highest and lowest thirds of the sample, all groups reduced target drug expenditures at the same rate. Targeting of higher-volume prescribers would thus further raise the observed benefit-to-cost ratio from approximately 1.8 to at least 3.0. Net benefits would also increase further if non-Medicaid savings were added, or if the analysis included quality-of-care considerations. Although print materials alone may be marginally cost-effective, print plus face-to-face approaches offer greater net benefits. The authors conclude that a program of brief, face-to-face "detailing" visits conducted by academic rather than commercial sources can be a highly cost-effective method for improving drug therapy decisions. Such an approach makes possible the enhancement of physicians' clinical expertise without relying on restriction of drug choices. PMID:3083161
Abilio Donizetti de Morais Filho
Full Text Available The objective of this study was to describe the financial conditions of forestry contractors, concerning life quality aspects, condition of work and equipments, operational costs, and economic credit to invest in new technologies. Five companies had been analyzed, with an annual income between US$ 400,000.00 and US$ 1,720,000.00, with an average of US$ 950,000.00. The number of employees varied between 33 and 181, and the companies were classified in terms of size as: one small, two average, and two big. The main difficulties to invest in new machines were high financial taxes, more than 12% an year, and a lack of long term contracts to guarantee the payment capability. It was observed that the contractors did not consider the capital remuneration and a correct depreciation of machines, resulting in an average machine life higher than 10 years. The final conclusions were that the costs were above the paid values for the services, when computed the depreciation and capital remuneration, with negative results in the financial analyzes of three companies. Finally, the mechanization process increased the workers life quality, however, the annual income was around US$ 2,112.00 per worker, approximately 39% lower than the average Brazilian population.
As CO2 emission is recognized as the one of the major causes of the global worming, international CO2 emission regulation has been of great concern and has been discussed actively on the global level. Several means of CO2 emission regulation have been raised and have received much attention recently. CO2 emission regulation is expected to affect the national economy as well as the national energy policy. Since the electricity sector closely interacts with CO2 emission, environmental regulation has the possibility of implementation in this sector. Considering the enormous role played by electricity in the national economy, it is very important to study the effect of environmental regulation on the electricity sector. The main purpose of this study is to estimate the marginal cost of CO2 emission by analyzing the effect of CO2 emission regulation on the electricity sector in terms of capacity and generation mix. This information can be used effectively in energy policy establishment. In addition, the effect of CO2 emission regulation on economic viability of electricity generating type is also being studied in order to contribute to the establishment of Electric System Expansion Planning in Korea
Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used.Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation
Cri?an, Liviu G.; Pan?, Simona; Vulturar, Romana; Heilman, Renata M.; Szekely, Raluca; Bogdan DRUG?; Nicolae DRAGO?; Miu, Andrei C.
Serotonin (5-HT) modulates emotional and cognitive functions such as fear conditioning (FC) and decision making. This study investigated the effects of a functional polymorphism in the regulatory region (5-HTTLPR) of the human 5-HT transporter (5-HTT) gene on observational FC, risk taking and susceptibility to framing in decision making under uncertainty, as well as multidimensional anxiety and autonomic control of the heart in healthy volunteers. The present results indicate that in comparis...
Sanstad, A.H.; Koomey, J.G.; Levine, M.D.
In his recent paper in The Energy Journal, Ronald Sutherland argues that several so-called market barriers'' to energy efficiency frequently cited in the literature are not market failures in the conventional sense and are thus irrelevant for energy policy. We argue that Sutherland has inadequately analyzed the idea of market barrier and misrepresented the policy implications of microeconomics. We find that economic theory, correctly interpreted, does not provide for the categorical dismissal of market barriers. We explore important methodological issues underlying the debate over market barriers, and discuss the importance of reconciling the findings of non-economic social sciences with the economic analysis of energy demand and consumer decision-making. We also scrutinize Sutherland's attempt to apply finance theory to rationalize high implicit discount rates observed in energy-related choices, and find this use of finance theory to be inappropriate.
Sanstad, A.H.; Koomey, J.G.; Levine, M.D.
In his recent paper in The Energy Journal, Ronald Sutherland argues that several so-called ``market barriers`` to energy efficiency frequently cited in the literature are not market failures in the conventional sense and are thus irrelevant for energy policy. We argue that Sutherland has inadequately analyzed the idea of market barrier and misrepresented the policy implications of microeconomics. We find that economic theory, correctly interpreted, does not provide for the categorical dismissal of market barriers. We explore important methodological issues underlying the debate over market barriers, and discuss the importance of reconciling the findings of non-economic social sciences with the economic analysis of energy demand and consumer decision-making. We also scrutinize Sutherland`s attempt to apply finance theory to rationalize high implicit discount rates observed in energy-related choices, and find this use of finance theory to be inappropriate.
In his recent paper in The Energy Journal, Ronald Sutherland argues that several so-called ''market barriers'' to energy efficiency frequently cited in the literature are not market failures in the conventional sense and are thus irrelevant for energy policy. We argue that Sutherland has inadequately analyzed the idea of market barrier and misrepresented the policy implications of microeconomics. We find that economic theory, correctly interpreted, does not provide for the categorical dismissal of market barriers. We explore important methodological issues underlying the debate over market barriers, and discuss the importance of reconciling the findings of non-economic social sciences with the economic analysis of energy demand and consumer decision-making. We also scrutinize Sutherland's attempt to apply finance theory to rationalize high implicit discount rates observed in energy-related choices, and find this use of finance theory to be inappropriate
The relationship between R and D investments and technical change is inherently uncertain. In this paper we combine economics and decision analysis to incorporate the uncertainty of technical change into climate change policy analysis. We present the results of an expert elicitation on the prospects for technical change in advanced solar photovoltaics. We then use the results of the expert elicitations as inputs to the MiniCAM integrated assessment model, to derive probabilistic information about the impacts of R and D investments on the costs of emissions abatement. (author)
Mirna Rahmah Lubis
Full Text Available The ability to produce potable water economically is the primary purpose of seawater desalination research. Reverse osmosis (RO and multi-stage flash (MSF cost more than potable water produced from fresh water resources. Therefore, this research investigates a high-efficiency mechanical vapor-compression distillation system that employs an improved water flow arrangement. The incoming salt concentration was 0.15% salt for brackish water and 3.5% salt for seawater, whereas the outgoing salt concentration was 1.5% and 7%, respectively. Distillation was performed at 439 K and 722 kPa for both brackish water feed and seawater feed. Water costs of the various conditions were calculated for brackish water and seawater feeds using optimum conditions considered as 25 and 20 stages, respectively. For brackish water at a temperature difference of 0.96 K, the energy requirement is 2.0 kWh/m3. At this condition, the estimated water cost is $0.39/m3 achieved with 10,000,000 gal/day distillate, 30-year bond, 5% interest rate, and $0.05/kWh electricity. For seawater at a temperature difference of 0.44 K, the energy requirement is 3.97 kWh/m3 and the estimated water cost is $0.61/m3. Greater efficiency of the vapor compression system is achieved by connecting multiple evaporators in series, rather than the traditional parallel arrangement. The efficiency results from the gradual increase of salinity in each stage of the series arrangement in comparison to parallel. Calculations using various temperature differences between boiling brine and condensing steam show the series arrangement has the greatest improvement at lower temperature differences. Keywords: desalination, dropwise condensation, mechanical-vapor compression
Vapour extraction (VAPEX) uses horizontal well pairs and a gaseous solvent to mobilize the oil. Hybrid solvent processes inject a light hydrocarbon solvent in addition to sufficient amounts of steam to vaporize the solvent. This paper reviewed various laboratory model experiments that evaluated VAPEX and solvent-based processes for the recovery of heavy oil or bitumen. The project compared a VAPEX process, a thermal solvent reflux process and a hybrid-solvent SAGD process using scaled laboratory models. Several experimental models were used. The first high-pressure thermal solvent experiment was conducted with a laboratory model designed to scale a 20 m thick Burnt Lake reservoir. Propane was used as the solvent. The second sequence of experiments scaled a range of processes from VAPEX to hybrid solvents for an Athabasca bitumen reservoir using a sealed can type of model confined by a gaseous overburden with propane as the solvent. The third experiment was a hybrid solvent experiment in which propane and steam were injected simultaneously into the injector well. The final experiment was a propane-steam hybrid experiment at a higher steam injection rate. The aim of the study was to evaluate the processes, build a database of experimental performance and to determine whether any single process had a significant economic advantage. It was concluded that the lowest cost process for Athabasca bitumen was the thermal solvent hybrid process followed by low pressure SAGD. The thermal solvent experiment using hot propane injection recovered heavy oil at costs competitive to SAGD. Many of the experiments suggested a process life longer than 15 years, as the high viscosity of Athabasca bitumen and the resulting low diffusivity resulted in a slower oil recovery process. 5 refs., 3 tabs., 16 figs
Epple, Dennis; Romano, Richard
The analysis of educational vouchers has evolved from market-based analogies to models that incorporate distinctive features of the educational environment. These distinctive features include peer effects, scope for private school pricing and admissions based on student characteristics, the linkage of household residential and school choices in
This paper presents an analytical hierarchy process (AHP) decision model for sectoral allocation of energy subsidy based on several criteria. With determination of priorities for these criteria through questionnaire and AHP method, the overall rank of these criteria that have the most influence on distribution of energy subsidy among socio-economic sub-sectors, are as the following: inflation, economic growth, labor intensity, distribution of energy subsidy among socio-economic levels, energy intensity and social cost of air pollution. According to the model, the first priority for allocation of energy subsidy is commercial sector and the last priority is related to transportation sector. Investigating the impact of changing priority of the criteria on overall results indicates that the socio-economic sub sectorsâ ranking in receiving subsidy have little sensitivity for changing priority of the subsidy criteria. - Highlights: âº Commerce subsector is the best sub sector with an overall priority score of 0.331. âº The first priority for allocation of energy subsidy is commercial sector. âº When we increase the priority of each criterion first time, then overall rank of the outcome has little changing. âº The socio-economic sub sectors' ranking in receiving subsidy have little sensitivity for changing priority of the subsidy criteria.
the proposed centralized coordinated scheduling system. The proposed system is proved capable of achieving the best overall performance. Subsequently, we conduct the financial economic analysis for indoor DAS and Femto systems based on the TCO analysis. For very high data-rate in-building deployment...... technology economical examination based on these two systems for network evolution using the LTE technology. The performance is evaluated based on simulations. Overall, the DAS is less efficient in providing high speed, high volume mobile data services than the multi-cell system, i.e. the Femto system and......, the Femto system has absolute advantage compared to the DAS. For coverage-oriented deployment with very limited user data traffic demand, DAS is the most economical solution in large-size buildings, and Femto is more economical for deployment in small-size buildings....
You, Shi; Rasmussen, Claus Nygaard
opportunities, a generic modelling framework is proposed to handle this task. This framework outlines a set of building blocks which are necessary for carrying out the economic analysis of various BS applications. Further, special focus is given on describing how to use the rainflow cycle counting algorithm for...... battery cycle life estimation, since the cycle life plays a central role in the economic analysis of BS. To illustrate the modelling framework, a case study using a Sodium Sulfur Battery (NAS) system with 5-minute regulating service is performed. The economic performances of two dispatch scenarios, a so......Deregulated electricity markets provide opportunities for Battery Systems (BS) to participate in energy arbitrage and ancillary services (regulation, operating reserves, contingency reserves, voltage regulation, power quality etc.). To evaluate the economic viability of BS with different business...
Full Text Available This study introduces a combination of Multi Criteria Decision Analysis (MCDA and Geographic Information System (GIS approaches to the hazardous waste transport problem. There are risks associated with a truck being involved in an accident during shipment of hazardous materials (HAZMAT and/or hazardous wastes. The level of impact posed to surroundings depends on many factors such as population density, No. of sensitive locations, proximity to rescue units and security. It is essential that all of the related factors and criteria involved be considered prior to making decisions about route selection. Certain routing criteria and standards for HAZMAT transport have been developed in many developed countries such as the United States, Canada and European countries with the purpose of risk avoidance during shipment of these materials. However, a lack of a comprehensive framework for the selection of HAZMAT and/or hazardous waste routes that the transporter can use for aiding their decisions is a major concern in most developing countries. The purpose of this study is to develop a framework for making optimum hazardous waste transport routing choices by incorporating multiple factors and sub-factors. Factors and sub-factors are divided into three main categories; economic, environmental and societal (exposure and emergency response issues that are in line with the sustainability paradigm. The proposed framework can contribute to the thought processes of governmental policy-makers and carriers when they evaluate possible routes and are making their decision in order to minimize damage from transporting hazardous waste.
Wilkins, Nick; Yurekli, Ayda; Hu, Teh-Wei
The tobacco epidemic is a worldwide phenomenon with significantly destructive effects on developing, transitional, and industrialized nations. The first scientific evidence on the health consequences of tobacco consumption-specifically, smoking-was discovered in industrialized nations. As a result, the economic analysis of tobacco control issues began and was developed in these countries. ...
National Aeronautics and Space Administration Sediment Analysis Network for Decision Support (SANDS) MODIS GeoTIFF -- The Sediment Analysis Network for Decision Support (SANDS) analyzes GeoTIFF images to...
Abba M. Wakili
Full Text Available This study employs a stochastic frontier production function analysis to examine the productivity and technical efficiency of cowpea production in Adamawa State, Nigeria and also to identify the factors affecting the technical inefficiency using farm level survey data collected from 150 cowpea farmers selected using multi stage sampling technique. Findings from the analysis show that cowpea farmers operated on a very small scale and are profitable. The productivity analysis shows that agro chemicals, fertilizer, farm size and labor were all positively and significantly related to the technical efficiency. The return to scale (RTS of 0.9904 shows that cowpea production was in the rational stage of the production surface. The technical efficiency varies from 0.1094 to 0.9568 with a mean technical efficiency of 0.6649, indicating that farmers were operating below the efficiency frontier. Thus, in the short run, there is a scope to increase output by 34%. The inefficiency model revealed that education of the farmers; extension visits and access to credit are the main factors that affect technical efficiency of the farmers.
Sener, Adil Caner
This dissertation research endeavors to explore geothermal energy economics by assessing and quantifying the uncertainties associated with the nature of geothermal energy and energy investments overall. The study introduces a stochastic geothermal cost model and a valuation approach for different geothermal power plant development scenarios. The Monte Carlo simulation technique is employed to obtain probability distributions of geothermal energy development costs and project net present values. In the study a stochastic cost model with incorporated dependence structure is defined and compared with the model where random variables are modeled as independent inputs. One of the goals of the study is to attempt to shed light on the long-standing modeling problem of dependence modeling between random input variables. The dependence between random input variables will be modeled by employing the method of copulas. The study focuses on four main types of geothermal power generation technologies and introduces a stochastic levelized cost model for each technology. Moreover, we also compare the levelized costs of natural gas combined cycle and coal-fired power plants with geothermal power plants. The input data used in the model relies on the cost data recently reported by government agencies and non-profit organizations, such as the Department of Energy, National Laboratories, California Energy Commission and Geothermal Energy Association. The second part of the study introduces the stochastic discounted cash flow valuation model for the geothermal technologies analyzed in the first phase. In this phase of the study, the Integrated Planning Model (IPM) software was used to forecast the revenue streams of geothermal assets under different price and regulation scenarios. These results are then combined to create a stochastic revenue forecast of the power plants. The uncertainties in gas prices and environmental regulations will be modeled and their potential impacts will be captured in the valuation model. Finally, the study will compare the probability distributions of development cost and project value and discusses the market penetration potential of the geothermal power generation. There is a recent world wide interest in geothermal utilization projects. There are several reasons for the recent popularity of geothermal energy, including the increasing volatility of fossil fuel prices, need for domestic energy sources, approaching carbon emission limitations and state renewable energy standards, increasing need for baseload units, and new technology to make geothermal energy more attractive for power generation. It is our hope that this study will contribute to the recent progress of geothermal energy by shedding light on the uncertainty of geothermal energy project costs.
An economic analysis of land regeneration programmes is given combining the criteria of financial as well as economic feasibility and sustainability applied to a wood plantation of Mallanahlly TGCS in Karnataka, India. Feasibility is measured in terms of economic benefits to the stakeholders and sustainability through optimal rotation of trees as well as continuous annual income to the stakeholders from such rotations. The plantation programme is evaluated at the perspectives of both TGCS and the society as a whole and it is found that benefit cost ratios are high in both the cases. (K.A.)
Horacio Alfredo Gil
Full Text Available Urban sewage is one of the biggest polluters of water resources. For treatment, the usual conventional technologies (CT are based on civil and hydraulic engineering; more recently, green technologies (GT based on biology and ecology began to be developed. The aim of this study was to assess the economic aspects of these technologies using cost-benefit analysis. The economic benefits are derived from the sale of forest products and the environmental benefits of water decontamination, valued by the avoided cost method. The results of the study establish that GT have better commercial and economic performance than CT, and that the inclusion of environmental benefit significantly improves the results.
The aim of the paper is not to review the large body of work concerning nonlinear time series analysis in economics, about which much has been written, but rather to focus on the new techniques developed to detect chaotic behaviours in economic data. More specifically, our attention will be devoted to reviewing some of these techniques and their application to economic and financial data in order to understand why chaos theory, after a period of growing interest, appears now not to be such an interesting and promising research area
Full Text Available With the complexity and amount of information in a wide variety of comparative performance reports in poultry production, making a decision is difficult. This problem is overcomed only when all data can be put into a common unit. For this purpose, five different decision making analysis approaches including Maximin, Equally likely, Weighted average, Ordered weighted averages and Technique for order preference by similarity to ideal solution were used to choose the best broiler strain among three ones based on their comparative performance and carcass characteristics. Commercial broiler strains of 6000 designated as R, A, and C (each strain 2000 were randomly allocated into three treatments of five replicates. In this study, all methods showed similar results except Maximin approach. Comparing different methods indicated that strain C with the highest world share market has the best performance followed by strains R and A.
A system engineering and economic analysis was conducted to establish typical reference baselines for the photovoltaic, solar thermal, and nuclear satellite power systems. Tentative conclusions indicate that feasibility and economic viability are characteristic of the Satellite Power System. Anticipated technology related to manufacturing, construction, and maintenance operations is described. Fuel consumption, environmental effects, and orbital transfer are investigated. Space shuttles, local space transportation, and the heavy lift launch vehicle required are also discussed.
My recent book Antieigenvalue Analysis, World-Scientific, 2012, presented the theory of antieigenvalues from its inception in 1966 up to 2010, and its applications within those forty-five years to Numerical Analysis, Wavelets, Statistics, Quantum Mechanics, Finance, and Optimization. Here I am able to offer three further areas of application: Continuum Mechanics, Economics, and Number Theory.
Full Text Available This research work is about the methodology of economic factorial analysis, which is an actual instrument for the analysis of different economic and technological models. The acceptance of control solutions becomes the result of model?s study in this case. This fact defines the importance of this unit for the analysis of systems. It is possible to realise the different numerical experiments on simulation of different processes and their following analysis using the methods received in the course of research of static and dynamical factorial analysis. The given analytical tool is widely used in practice. Author has carried out the research using the methods of factorial analysis in conditions of real production on one of the largest metallurgical plant of Europe. This fact also confirms a practical importance of factorial analysis.
The major contents in this study are as follows : 1) Efforts are made to examine the role of nuclear energy considering environmental regulation. An econometric model for energy demand and supply including carbon tax imposition is established. 2) Analysis for the learning effect of nuclear power plant operation is performed. The study is focused to measure the effect of technology homogeneity on the operation performance. 3) A preliminary capital cost of the KALIMER is estimated by using cost computer program, which is developed in this study. (author). 36 refs.,46 tabs., 15 figs
The Environmental Protection Agency (EPA) has evaluated the costs and benefits of alternative disposal technologies as part of its program to develop generally applicable environmental standards for the land disposal of low-level radioactive waste (LLW). Costs, population health effects and Critical Population Group (CPG) exposures resulting from alternative waste treatment and disposal methods were evaluated both in absolute terms and also relative to a base case (current practice). Incremental costs of the standard included costs for packaging, processing, transportation, and burial of waste. Benefits are defined in terms of reductions in the general population health risk (expected fatal cancers and genetic effects) evaluated over 10,000 years. A cost-effectiveness ratio, defined as the incremental cost per avoided health effect, was calculated for each alternative standard. The cost-effectiveness analysis took into account a number of waste streams, hydrogeologic and climatic region settings, and waste treatment and disposal methods. This paper describes the alternatives considered and preliminary results of the cost-effectiveness analysis. 15 references, 7 figures, 3 tables
The decision to remediate a contaminated site can be seen from the macroeconomic and microeconomic viewpoints. Macroeconomics can be used to plan and account for the overall cost of pollution as part of a firm's production, and thus make overall decisions on the real cost of pollution and the level of clean-up which may be called for. Valuation of damaged resources, option values and intrinsic worth is an important part of this process. Once the decision to remediate has been taken, the question becomes how best to remediate. Microeconomic analysis deals with providing efficient allocative decisions for reaching specified goals. it is safe to say that cost is one of the single most important factors in site clean-up decision making. A basic rule of remediation is often taken to be the maximization of contaminant mass removed per dollar spent. However, remediation may also be governed by other objectives and constraints. In some situations, minimization of time, rather than cost, could be the constraint. Or perhaps the objective could be to achieve a set level of clean-up for the lowest possible cost, even if a large program would result in unit-cost reductions. Evaluation of the economics of a clean-up project is directly linked to the objectives of the site owner, and the constraints within which the remediation is to be performed. Economic analysis of remedial options for containment of a 350,000 L hydrocarbon spill migrating through fractured rock into a river in Alberta, Canada, clear direction to the site owner
Amundson, Norman E.; Borgen, William A.; Iaquinta, Maria; Butterfield, Lee D.; Koert, Emily
The authors used a phenomenological research method to investigate the career decision-making experiences of 17 employed adults. Thematic results from interview data analysis were organized within 3 overarching themes: decisions centered on relational life, decisions centered on personal meaning, and decisions centered on economic realities. Study
Wonodi, C B; Privor-Dumm, L; Aina, M; Pate, A M; Reis, R; Gadhoke, P; Levine, O S
The decision-making process to introduce new vaccines into national immunization programmes is often complex, involving many stakeholders who provide technical information, mobilize finance, implement programmes and garner political support. Stakeholders may have different levels of interest, knowledge and motivations to introduce new vaccines. Lack of consensus on the priority, public health value or feasibility of adding a new vaccine can delay policy decisions. Efforts to support country-level decision-making have largely focused on establishing global policies and equipping policy makers with the information to support decision-making on new vaccine introduction (NVI). Less attention has been given to understanding the interactions of policy actors and how the distribution of influence affects the policy process and decision-making. Social network analysis (SNA) is a social science technique concerned with explaining social phenomena using the structural and relational features of the network of actors involved. This approach can be used to identify how information is exchanged and who is included or excluded from the process. For this SNA of vaccine decision-making in Nigeria, we interviewed federal and state-level government officials, officers of bilateral and multilateral partner organizations, and other stakeholders such as health providers and the media. Using data culled from those interviews, we performed an SNA in order to map formal and informal relationships and the distribution of influence among vaccine decision-makers, as well as to explore linkages and pathways to stakeholders who can influence critical decisions in the policy process. Our findings indicate a relatively robust engagement of key stakeholders in Nigeria. We hypothesized that economic stakeholders and implementers would be important to ensure sustainable financing and strengthen programme implementation, but some economic and implementation stakeholders did not appear centrally on the map; this may suggest a need to strengthen the decision-making processes by engaging these stakeholders more centrally and earlier. PMID:22513730
I. H. Inan
Full Text Available In this research, the management activities of Edirne Village Development Cooperatives Union were evaluated and revenues and costs required for economic analysis were calculated and profit and loss income statement was estimated for the years 2002, 2003 and 2004. Data for Gross Margin Analysis were supplied from income and loss statement and thus Table comprising gross margins was formed covering all the activities of The Union.Gross Margin Analysis was made in order to determine economic performance of The Union by means of the data obtained from economic results of the operational activities in the years 2002, 2003 and 2004. The Union should develop its present activities so as to survive in the future. Therefore, suggestions were made for the expansion of the profitable activities and to improve nonprofitable activities in order to make them profitable.
Full Text Available In this paper we consider the application of Cost/Benefit Analysis procedure in the decision process on socialeconomic profitability of subsidy implementation for investments in agricultural production, based on newly planted plum trees. Cost/Benefit Analysis has many advantages over the other common methods. It proved to be especially useful in the agricultural production, because it is possible to estimate the profitability of investments in the special conditions of agricultural production, taking into account many factors of its economic efficiency, as well as main effects that individual producers and the whole social community can expect. The application of Cost/Benefit Analysis, based on the data gathered for Bosnia and Herzegovina, enabled insight into the profitability of the existing subsidy programs for investments in plum trees planting, that take place in the conditon of the whole economy transition and high degree of rural population unemployment.
Walz, M; Bolte, R; Lehmann, K J; Lütgemeier, J; Georgi, M
The teleradiology system KAMEDIN (German Telekom), installed on HP-Unix- and NT-Workstations, was evaluated in different scenarios and a cost-benefit-analysis was performed. CT examinations were transferred from a PACS workstation (GE) to KAMEDIN using DICOM-3 protocol. Teleconferences were realized with an intensive care unit by LAN, with a radiology department at 5 km. distance by ISDN, and with an on duty radiologist 22 km. away by ISDN. On average, 36 CT slices per patient were transferred. Overall costs (costs for hardware, software, support, ISDN-fees, and staff) were compared to possible cost reduction, mainly concerning transportation and films. These three scenarios could be realized during daily routine work. Differing in their amount of transportation cost reduction, two applications (intensive care unit, radiologist on duty) showed a break-even at 1817, respectively 528 teleconferences/year. Improvement of cost-effectiveness can be obtained on the conditions that existing hardware will be used and that the automatic data transfer will be improved. Combining all optimisation factors, the break-even decreased to a minimum of 167, respectively 77 teleconferences/year. The optimisation of patient management is an additional--but in this study, not yet counted--advantage of teleradiology. PMID:10747540
Stack, Steven; Wasserman, Ira
Research at the individual level on economic strain and suicide has focused on unemployment; yet it remains unclear how unemployment and other economic strains actually affect suicide risk for the individual. In the present study Agnew's (1992, 2002), General Strain Theory was applied to a qualitative analysis of case files. Strain issues assessed include the role of goal blockage, economic loss, noxious work environments, anticipated strain, strain clusters, and vicarious strain in the generation of suicide risk. Data are from 62 cases of suicide involving economic strain from the files of an urban county medical examiner's office. The cases were classified into strain categories. Suicide risk was related to all categories of strain; however, economic strains were typically comorbid with additional strains in the genesis of suicide. Key auxiliary strains included anticipated loss of a home place, loss of a car, noxious social relationships, medical problems, death of loved ones, and involvement with the criminal justice system. Some evidence was found linking economic strain to the suicides of nonimpoverished persons. Economic strain and suicide would especially benefit by testing additional hypotheses on strain comorbidity. Unemployment combined with an anticipated eviction from one's home is recommended as a particular point of departure for future work. PMID:17397284
Proof of Evidence is given by an expert witness on behalf of Greenpeace Ltd as part of their submission to a Planning Inquiry in 1995 hearing the application of UK Nirex Ltd for permission to construct an underground Rock Characterisation Facility (RCF) at a site near Sellafield. The RCF is part of an investigation by Nirex into a suitable site for the disposal of radioactive waste. The evidence concerns the use by Nirex of a technique known as Multi-Attribute Decision Analysis (MADA) in support of their decision to concentrate their studies on the Sellafield site. Potentially, MADA offers a highly effective methodology for making difficult political decisions involving a mixture of technical, social and economic considerations. Its proper use, however, relies on: drawing an explicit distinction between relatively technical ''performance scores'' and wholly subjective ''importance weightings''; a clearly expressed and agreed scope for the analysis; the inclusion of a wide range of perspectives; systematic and comprehensive sensitivity testing of the implications of varying data, assumptions and value judgements; optimising the choice of option under each perspective; presenting explicit data, assumptions, transparent methodologies and accessible procedures for critical evaluation and public peer review. It is concluded that Nirex's MADA seems to be seriously deficient in relation to many of these principles. (9 references). (UK)
The paper presents an Input-Output Analysis for Romania, an important source of information for the investigation of the inter-relations existing among different industries. The Input-Output Analysis is used to determine the role and importance of different economic value added, incomes and employment and it analyses the existing connection in an economy. This paper is focused on tourism and the input-output analysis is finished for the Hotels and Restaurants Sector.
Full Text Available Political decision-making means a countrys political parties, leaders or leadership compare and select implementing principles and approaches and means to achieve the target in political practical activities for the purpose, principles and direction of activities. The process of political decision-making is a dynamic political process that is related to the formation and implementation of major and general decisions of the national, political and social interest groups. This process is to integrate major and general decisions regarding national and social interests. The subjects are state organs, political parties and individual decision makers or decision-making participants, and the finally formed decision is backed by the countrys coercive power with mandatory features. Meanwhile, political decision-making is influenced by system pressure. In the decision-making process, there will be a certain degree of bias between the final decision and the targeted decision.
This report presents the results of a study that examines and compares the probable short-term economic impacts of the International Thermonuclear Experimental Reactor (ITER) on the United States (U.S.) if (1) ITER were to be sited in the U.S., or (2) ITER were to be sited in one of the other countries that, along with the U.S., is currently participating in the ITER program. Life-cycle costs associated with ITER construction, operation, and decommissioning are analyzed to assess their economic impact. A number of possible U.S. host and U.S. non-host technology and cost-sharing arrangements with the other ITER Parties are examined, although cost-sharing arrangements and the process by which the Parties will select a host country and an ITER site remain open issues. Both national and local/regional economic impacts, as measured by gross domestic product, regional output, employment, net exports, and income, are considered. These impacts represent a portion of the complex, interrelated set of economic considerations that characterize U.S. host and U.S. non-host participation in ITER. A number of other potentially important economic and noneconomic considerations are discussed qualitatively
Peerenboom, J.P.; Hanson, M.E.; Huddleston, J.R. [and others
This report presents the results of a study that examines and compares the probable short-term economic impacts of the International Thermonuclear Experimental Reactor (ITER) on the United States (U.S.) if (1) ITER were to be sited in the U.S., or (2) ITER were to be sited in one of the other countries that, along with the U.S., is currently participating in the ITER program. Life-cycle costs associated with ITER construction, operation, and decommissioning are analyzed to assess their economic impact. A number of possible U.S. host and U.S. non-host technology and cost-sharing arrangements with the other ITER Parties are examined, although cost-sharing arrangements and the process by which the Parties will select a host country and an ITER site remain open issues. Both national and local/regional economic impacts, as measured by gross domestic product, regional output, employment, net exports, and income, are considered. These impacts represent a portion of the complex, interrelated set of economic considerations that characterize U.S. host and U.S. non-host participation in ITER. A number of other potentially important economic and noneconomic considerations are discussed qualitatively.
Full Text Available The article at hand is an attempt to identify the various indicators that are more likely to explain the financial performance of Tunisian companies. In this respective, the emphasis is put on diversification, innovation, intrapersonal and interpersonal skills. Indeed, they are the appropriate strategies that can designate emotional intelligence, the level of indebtedness, the firm age and size as the proper variables that support the target variable. The "decision tree", as a new data analysis method, is utilized to analyze our work. The results involve the construction of a crucial model which is used to achieve a sound financial performance.
Decision makers in the nuclear field have the difficult task of balancing the objectives of environmental protection and human safety with those of cost minimisation for the storage infrastructure. Both objectives interact in the optimisation issue of choosing the appropriate disposal stage according to a complex set of variables influencing the decision. Consequently the ability to adjust the disposal facilities according to the arrival of information over time is essential. In France, a 2006 Act institutes the reversible deep geological disposal as a norm, with different possible levels of retrievability of the radioactive waste packages. The reversibility in the gradual process of construction of a storage deposit is considered in order: i) to preserve some ability to take into account technological progress by considering the arrival of new information; ii) to allow future generations to make their own decisions about the storage of the waste. Moreover the exceptional dimension of temporality is important and must be taken into account in the decision process when defining the concept of reversibility. From the perspective of the economic evaluation of a reversible storage project, the multiplicity of uncertainties surrounding this issue renders the traditional method of calculating the net present value of the project irrelevant. Indeed, it tends to undervalue decisions, discounting the expected benefits and costs using exclusively the information available at the time at which the decision is taken, namely at the original date. The Real Options Theory provides a more complete framework for project valuation and decision making when uncertainty and flexibility are central to the decision issue. It makes the arrival of new information in the future possible and it permits to consider some decisions that are irrelevant or impossible to take at the initial date but that may be essential in the future. So there is a need to evaluate these options available to the current decision maker or future generations: this can be a new evaluation of the disposal process, the retrieval of radioactive waste if new information justifies it or continuation on the same path. Also for the economist, reversibility is a complex concept and its analysis cannot be separated from the opposite concept, namely irreversibility. In a first approach, an irreversible decision is a decision that irrevocably condemns the exploitation of new information and thus any adjustment in time. Conversely, a decision is reversible or less irreversible if the decision maker can integrate newly acquired information and thus revise different choices. A second possibility to study reversibility in economics refers to the different types of costs involved in the project. Thus the construction of a geological repository of radioactive waste is a specific investment which cannot be assigned to another use. In this situation the initial expenditure, typically called 'sunk cost', is irreversible. The degree of reversibility of costs is strongly linked with a complementary notion, flexibility. Indeed, if the alternative to 'recover' the original cost when unfavourable conditions exist, the opportunities created by different sources of flexibility give no additional value to the project. Since the 80's, the Real Options Theory is a modern approach used to better analyse issues of strategic decisions in domains with a high degree of uncertainty and an important dimension of temporality: natural resource exploration, energy industry, biodiversity, etc. At least two reasons explain the success of Real Option Theory. On the one hand, as mentioned above, it permits to take into account the dynamic feature of innovation, and more generally, the accumulation of information over time. The discount rate and distribution of future earnings are no longer the only central points of the evaluation. On the other hand, this theory comes within the scope of the theories of decision and basically helps to answer the following question: What is the price to be paid today in order t o preserve a wider flexibility for a future decision? This price can involve the technical costs or constraints, but also the social constraint. In the case of radioactive waste, if the decision maker decides to close definitively the repository of radioactive waste, he gives up the opportunity to open it later and recover the radioactive materials contained in the ultimate waste if new techniques of treatment and recycling are available. By doing so, he abandons an option: Its value must be evaluated in order to assess its opportunity cost in the decision process. From these particular characteristics of the French project of radioactive waste disposal, our research in economics aims to offer some theoretical insights to analyse the relationship between reversibility, and more particularly retrievability, and the significant costs characterising the project. The objective is to show how the real options theory can be used to analyse the issue and evaluate different possible storage processes. The sequentiality of decisions and the existence of various options for a single decision point make economic computation more complex than in a decision framework with simple options. Actually, the reversible storage project involves multiple interacting options that can create future opportunities. The value of an option at a given date may be different depending on the options available at later dates and thus its value must be computed together with other options. This is what we call compound options: They create important interactions in the evaluation of the project
Full Text Available Problem statement: This study discusses the analysis of international migration towards economic growth in Bangladesh. International migration refers to the cross-border movement of people from a mother country to a location outside that mother country, with the purpose of taking up higher income employment, better living conditions, higher education get access to civic amenities and conducting a daily existence there for an extended period of time. The exports of labor, human capital, play a major role to minimize the poverty level in Bangladesh. In the last four decades, Bangladesh exports the huge number of labors abroad for economic growth through remittances. Remittances affect poverty eradication most directly by increasing the income of households which have a family member working abroad. Because income from remittances is usually larger than that which could have been earned by migrants they stayed at home. Approach: The aim of this study is to highlight the policy implications for the maximization of international migration and the analysis of economic growth in Bangladesh. The data for analysis is perceived from the secondary sources. The significant manipulations for acquired data are migration of employment and remittances for economic growth in Bangladesh. Results: Migration contributed for the development of macro and micro level in Bangladesh. Conclusion: There would be potential benefits to world's poor if more international attention were focused on integrating migration policy to within the larger global dialogue economic development and poverty reduction. Strong institutions and good policies will enhance the benefits of human capital migration for Bangladesh.
Neapolitan, Richard; Jiang, Xia; Ladner, Daniela P; Kaplan, Bruce
A clinical decision support system (CDSS) is a computer program, which is designed to assist health care professionals with decision making tasks. A well-developed CDSS weighs the benefits of therapy versus the cost in terms of loss of quality of life and financial loss and recommends the decision that can be expected to provide maximum overall benefit. This article provides an introduction to developing CDSSs using Bayesian networks, such CDSS can help with the often complex decisions involving transplants. First, we review Bayes theorem in the context of medical decision making. Then, we introduce Bayesian networks, which can model probabilistic relationships among many related variables and are based on Bayes theorem. Next, we discuss influence diagrams, which are Bayesian networks augmented with decision and value nodes and which can be used to develop CDSSs that are able to recommend decisions that maximize the expected utility of the predicted outcomes to the patient. By way of comparison, we examine the benefit and challenges of using the Kidney Donor Risk Index as the sole decision tool. Finally, we develop a schema for an influence diagram that models generalized kidney transplant decisions and show how the influence diagram approach can provide the clinician and the potential transplant recipient with a valuable decision support tool. PMID:26900809
Bodnarchuk Anna V.
Full Text Available The article scientifically substantiates and proves a necessity of perfection of a complex economic analysis of equity capital, which provides a system approach to analysis of financial stability of a company and increases effectiveness of formation and use of equity capital. It considers and generalises types and tasks of factor analysis of equity capital as one of the stages of complex analysis. It allocates main factors of influence on the effective indicator, and develops a multi-factor model of factor analysis for perfection of the system of management of equity capital.? ?????? ?????? ?????????? ? ???????? ????????????? ?????????????????? ???????????? ?????????????? ??????? ???????????? ????????, ??????? ???????????? ????????? ?????? ? ??????? ?????????? ???????????? ??????????? ? ???????? ????????????? ???????????? ? ????????????? ???????????? ????????. ??????????? ? ???????? ???? ? ?????? ?????????? ??????? ???????????? ???????? ??? ?????? ?? ?????? ???????????? ???????. ???????? ???????? ??????? ??????? ?? ?????????????? ??????????, ? ??? ?????????????????? ??????? ?????????? ??????????? ????????? ??????????? ?????????????? ?????? ?????????? ???????.
Mattos, Sérgio; Maynou, Francesc; Franquesa, Ramón
This paper presents a bio-economic analysis of the hand-line and gillnet coastal fisheries off Pernambuco State, North-Eastern Brazil, in order to define management measures to support the decision-making process available to fisheries managers to reduce uncertainties about the sustainable development of the fisheries. The objective of applying a bio-economic model was to reproduce the biological and economic conditions in which the fisheries occur. This was done by carrying out projections a...
Cheng-lin MIAO; FENG Jun-wen; Bai, Ju
Intuitive decision-making studies the decision-makers decision-making behavior from the perspective of image thinking, which it poses a challenge to the classic decision-making hypothesis pursuing optimal decision because the outcomes of intuitive decision-making are difficulty to measure and its process isnt easy to describe and control. Therefore it has not drawn the experts attention. This paper tries to establish an evaluation model of the intuitive decision-making as to giving a dir...
The aim of this work is to examine the marketing, economic and financial feasibility of a project for potatoes irradiation in Egypt. The Egyptian market of potatoes was described and analyzed considering the production size distributed over several years, methods of preservation and storage, percentage of loss and cost for each method, distribution channels and packing materials. The financial and economic analysis of the establishment of a pallet conveyor unit for the irradiation of potatoes was also carried out . The following investment criteria were utilized for the commercial evaluation : benefit - cost radio , payback period, average rate of return and net present value . The results of this analysis showed that the installation of a unit for the irradiation of potatoes in Egypt would be economically viable. The unit of irradiation would decline if the irradiator is used as a multipurpose facility
The aim of this work is to examine the marketing and economic feasibility of a project for mango irradiation in Egypt. The Egyptian market was analyzed considering the production size and cultivated area distributed over several years,the percentage of the total loss of mango that can be avoided by irradiation, the market tests in Egypt and other countries was presented and the normal distribution channels of mango when using radiation technology. The financial and economic analysis of the establishment of pallet carrier unite for the irradiation of mango was also carried out. The following investment criteria were utilized for the commercial evaluation: benefit-cost ratio, pay back period, average rate of return and net present value. The results of this analysis showed that the installation of a unit for the irradiation of mango in Egypt would be economically viable. The unit cost of irradiation would decline if the irradiator is be used as a multipurpose facility
The aim of this work is to examine the marketing , economic and financial feasibility of a project for garlic irradiation in Egypt. The Egyptian market of garlic was described and analyzed considering the production size distributed over several years, methods of preservation and storage, percentage of loss and cost for each method and distribution channels. The financial and economic analysis of the establishment of A tote Box unit for the irradiation of garlic was also carried out. The following investment criteria were utilized for the commercial evaluation : benefit-cost ratio, payback period, average rate of return and net present value. The results of this analysis showed that the installation of a unit for the irradiation of garlic in Egypt would be economically viable. The unit cost of irradiation would decline if the irradiator is used as a multipurpose facility
IngoVernaleken; SusannePrinz; RalfDieterHilgers; OliverHoltemöller
This study on healthy young male students aimed to enlighten the associations between an individuals financial decision making and surrogate makers for environmental factors covering long-term financial socialization, the current financial security/responsibility, and the personal affinity to financial affairs as represented by parental income, funding situation and field of study. A group of 150 male young healthy students underwent two versions of the Holt and Laury (2002) lottery paradigm...
Prinz, Susanne; Gründer, Gerhard; Hilgers, Ralf D.; Holtemöller, Oliver; Vernaleken, Ingo
This study on healthy young male students aimed to enlighten the associations between an individuals financial decision making and surrogate makers for environmental factors covering long-term financial socialization, the current financial security/responsibility, and the personal affinity to financial affairs as represented by parental income, funding situation, and field of study. A group of 150 male young healthy students underwent two versions of the Holt and Laury (2002) lottery paradig...
Drewnowski, Adam; Kawachi, Ichiro
Health is shaped by both personal choices and features of the food environment. Food-choice decisions depend on complex interactions between biology and behavior, and are further modulated by the built environment and community structure. That lower-income families have lower-quality diets is well established. Yet, diet quality also varies across small geographic neighborhoods and can be influenced by transportation, retail, and ease of access to healthy foods, as well as by attitudes, belief...
An article published in this Journal argued that New Zealand does not apply a cost-effectiveness threshold because medicines are funded within a fixed budget and because cost-effectiveness is only one of nine criteria that inform decisions. This Comment has explained that, from a theoretical perspective, the cost-effectiveness threshold model is not inconsistent with these two arguments. The observed annual variation in incremental cost-effectiveness ratios in New Zealand may originate from y...
Manvinder Singh Pahwa; Amanpreet Singh Chopra
Sovereign Wealth Funds (SWFs) with combined asset under management of around $4.8 Trillion have emerged as major power in the financial world. However, literature which has empirically analyzed the decision variables impacting the establishment of these funds is limited. Authors has identified and collaborated list of 63 variables which were then rationalized to list of 30 variables that may have affected establishment of Sovereign Wealth Fund for Emerging economies of China, Russia, Mexico a...
Koesrindartoto, Deddy P.; Erdi Novanto
Interbank lending is one mechanism that can make shock, which is accepted by one bank spread to other banks (contagion). There are several researchers that focused their research on analyzing the effect of interbank lending to systemic risk. However, there is a few research that analyzed the effect of banks decision makers behavior, especially on the bank interbank lending to the systemic risk. In this research, the author creates an agent-based simulation of the banking system to analyze ...
Graves, Philip E.
An informal model is described that leads to multiple macroeconomic equilibria as a consequence of random variation in the relative amounts of technological change for new and existing goods. The novel observation is that the rate of introduction and market penetration of new goods (sometimes called product innovation) vis-à-vis technological advance for existing goods (sometimes called process innovation) importantly affects the labor supply decision. A relatively rapid influx of new goods w...
This master's thesis is a literature review on social identity economics. Traditional economic models, in which decisions of a rational agent are analyzed, have been challenged by models and theories where concepts and insights from other sciences such as sociology and psychology are introduced. Identity economics - pioneered by George Akerlof and Rachel Kranton - is a field that brings now the social context in to the economic analysis. In this thesis, I collect together the essential t...
Li, Xun-Gui; Wei, Xia; Huang, Qiang.
Full Text Available Decision making for water resource planning is often related to social, economic and environmental factors. There are various methods for making decisions about water resource planning alternatives and measures with various shortcomings. A comprehensive entropy weight observability-controllability r [...] isk analysis approach is presented in this study. Computing methods for entropy weight (EW) and subjective weight (SW) are put forward based on information entropy theory and experimental psychology principles, respectively. Comprehensive weight (CW) consisting of EW and SW is determined. The values of observability-controllability risk (R) and gain by comparison (G) are obtained based on the CWs. The quantitative analysis of alternatives and measures is achieved based on Roc and Gbc. A case study on selection of water resource planning alternatives and measures in the Yellow River Basin, China, was performed. Results demonstrate that the approach presented in this study can achieve optimal decision-making results.
Jusko, M.J.; Whitfield, R.G.
This document is intended to serve as both a programmer's and user's guide to the current version of the IDAP; and to prompt interested individuals into making suggestions for the future development of IDAP. The majority of the sections pertain to the main IDA program rather than to the IDAIN procedure. A brief discussion is presented of the theory of decision analysis. The aspects of decision analysis that are relevant to the IDAP are discussed. A complete list and description of the commands used in the IDAP program is provided and, including three complete examples. This section may be considered a user's guide to the IDAP. The programmer's guide to the IDAP discusses the various technical aspects of the programs, and may be skipped by users not involved with programming the IDAP. A list of the error messages generated by the IDAP is presented. As the program is developed, error handling and messages will improve.
Lo, Margaret Wai Ki
The ascendance to popularity of the liberal ideologies and the concepts of political economy of education will be put forward as the root cause for an increasing subordination of education objectives to national economic goals. Through a case study of the educational development of Hong Kong, this paper will evaluate the extent to which educational planning and policy decision should be guided by economic considerations. Although the rapid economic growth of Hong Kong and the rapid expansion ...
In this and previous efforts, ECON has provided economic assessment of a fusion research program. This phase of study has focused on the future markets for fusion energy and the economics of fusion in those markets. These tasks were performed: (1) fusion market growth, (2) inflation vs. capital investment decisions, and (3) economics of cogeneration
Full Text Available As a synthesis of economics and physics and an attempt to apply the methods and models of statistical physics to economics, econophysics is presently a new, growing and very dynamic branch of modern science. Therefore, the subject of this paper is to analyse the relationship and interdependence between thermodynamics and economics, and it aims to show similarities, analogies and correspondence between the main categories, methods and models of thermodynamics on one hand, and economics on the other. The paper analyses the relation between economics and thermodynamics, as well as the probability distribution in the kinetic theory of gases corresponding to money, income and wealth distribution, connects entropy with utility and the principle of operation of the thermal engine with economic exchange. The final part of the paper empirically analyzes temperature differences in the exchange between Serbia and the selected EU countries. There are differences in temperature between Serbia and the group of selected countries. Results of the empirical analysis shows that the exchange between countries is based on principles of thermodynamics and that developed countries generate more profits and benefits from exchange.
Klein, Sharon J W
Decisions about energy backup and cooling options for parabolic trough (PT) concentrated solar power have technical, economic, and environmental implications. Although PT development has increased rapidly in recent years, energy policies do not address backup or cooling option requirements, and very few studies directly compare the diverse implications of these options. This is the first study to compare the annual capacity factor, levelized cost of energy (LCOE), water consumption, land use, and life cycle greenhouse gas (GHG) emissions of PT with different backup options (minimal backup (MB), thermal energy storage (TES), and fossil fuel backup (FF)) and different cooling options (wet (WC) and dry (DC). Multicriteria decision analysis was used with five preference scenarios to identify the highest-scoring energy backup-cooling combination for each preference scenario. MB-WC had the highest score in the Economic and Climate Change-Economy scenarios, while FF-DC and FF-WC had the highest scores in the Equal and Availability scenarios, respectively. TES-DC had the highest score for the Environmental scenario. DC was ranked 1-3 in all preference scenarios. Direct comparisons between GHG emissions and LCOE and between GHG emissions and land use suggest a preference for TES if backup is require for PT plants to compete with baseload generators. PMID:24245524
Economic analysis and comparison between nuclear energy and conventional energy in district heating systems are made. The low temperature heat energy from nuclear fuel produces the great economy of the primary energy, because the energy overall utilization of nuclear heating and coal fired power is higher than that of mode of nuclear power and coal fired heating
The two-volume report describes the development of, and provides information needed to operate, the Economic Growth Analysis System (E-GAS) Version 3.0 model. The model will be used to project emissions inventories of volatile organic compounds, oxides of nitrogen, and carbon mon...
The two-volume report describes the development of and provides information needed to operate, the Economic Growth Analysis System (E-GAS) Version 2.0 model. The model will be used to project emissions inventories of volatile organic compounds (VOCs), oxides of nitrogen (NOx), a...
The two-volume report describes the development of, and provides information needed to operate, the Economic Growth Analysis System (E-GAS) Version 3.0 model. The model will be used to project emissions inventories of volatile organic compounds, oxides of nitrogen, and carbon mon...
The two-volume report describes the development of and provides information needed to operate, the Economic Growth Analysis System (E-GAS) Version 2.0 model. The model will be used to project emissions inventories of volatile organic compounds (VOCs), oxides of nitrogen (NOx), a...
The two-volume report describes the development of and provides information needed to operate, the Economic Growth Analysis System (E-GAS) Version 2.0 model. he model will be used to project emissions inventories of volatile organic compounds (VOCs), oxides of nitrogen (NOx), and...
The two-volume report describes the development of and provides information needed to operate, the Economic Growth Analysis System (E-GAS) Version 2.0 model. he model will be used to project emissions inventories of volatile organic compounds (VOCs), oxides of nitrogen (NOx), and...
Syed Imran Ali Meerza
Full Text Available This study has mainly focused on the current socio-economic condition of those people who were child labor in their childhood. In this study, economic indicators are income and employment status. On the other hand, level of education, health status and role in case of decision making in the society are studied as social indicators. According to this study, socio-economic condition of child workers in their adulthood is not very satisfactory. In this research work, we have used Linear Probability Model (LPM and Weighted Least Square (WLS regression analysis to make comparison of current socio-economic status between people who were child labor in their childhood and those who were not child worker in past. We have found that person who was not child worker in early stage of his/her life have higher probability to enjoy better socio-economic condition than that of person who worked as child worker in past. In fact, we have identified that a children who is working as a child worker has 0.61 or 61% probability to have low standard of living in his/her future life.
This diploma thesis provides economic analysis of coffee as a commodity and its role in the global market. It is focused on the commodity itself, and also on the principles of trading in commodity exchanges. It includes analysis of the main factors affecting supply and demand of coffee, it monitors historical trends of price of coffee, by using technical tools it analyses recent development in price and recommends trading tactics for investors. It determines the main actors and...
Heblich, Stephan; Lameli, Alfred; Riener, Gerhard
Does it matter if you speak with a regional accent? Speaking immediately reveals something of one's own social and cultural identity, be it consciously or unconsciously. Perceiving accents involves not only reconstructing such imprints but also augmenting them with particular attitudes and stereotypes. Even though we know much about attitudes and stereotypes that are transmitted by, e.g. skin color, names or physical attractiveness, we do not yet have satisfactory answers how accent perception affects human behavior. How do people act in economically relevant contexts when they are confronted with regional accents? This paper reports a laboratory experiment where we address this question. Participants in our experiment conduct cognitive tests where they can choose to either cooperate or compete with a randomly matched male opponent identified only via his rendering of a standardized text in either a regional accent or standard accent. We find a strong connection between the linguistic performance and the cognitive rating of the opponent. When matched with an opponent who speaks the accent of the participant's home region--the in-group opponent--, individuals tend to cooperate significantly more often. By contrast, they are more likely to compete when matched with an accent speaker from outside their home region, the out-group opponent. Our findings demonstrate, firstly, that the perception of an out-group accent leads not only to social discrimination but also influences economic decisions. Secondly, they suggest that this economic behavior is not necessarily attributable to the perception of a regional accent per se, but rather to the social rating of linguistic distance and the in-group/out-group perception it evokes. PMID:25671607
Abu-Taleb, M.F. [Department of Civil Engineering, Applied Science University, PO Box 40, 11831, Amman (Jordan)
Through a mandate by the Government of Jordan, a debt-for-environment swap initiative was designed to mobilize resources for programs that improve the Jordanian environment within a broad spectrum of conservation, water supply, sanitation, resource management, ecological protection, environmental education, and pollution abatement technology. As a debtor country, Jordan faces a severe debt burden (with debt-per-capita levels among the highest in the world), and is facing difficulty obtaining further credit to fill the gaps in hard currency requirements for imports. Debt swap converts outstanding debt obligations into local currency for approved national environmental programs and projects. With creditor countries favoring debt swap over debt forgiveness in general, and debt swap for environmental technology projects in particular, the initiative was launched to ensure both fiscal and environmental quality benefits. With donors requiring that project development and selection procedures be fair, unbiased, and transparent, a mechanism for ultimate selection was developed by the author solely for the initiative based on multiple objective optimization techniques. This paper formulates the necessary decision-analytic principles for the initiative and presents a discrete, defensible, and transparent model for selection of projects. The model ranks the projects in terms of environment and economic objectives and can be used for other generalized applications. (orig.)
Nuclear power plants have available a number of alternative courses of action that can contribute to the reduction of personnel exposure to radiation. Possible actions at boiling water reactor (BWR) plants include accelerating the replacement of high-cobalt control rod blades (CRB) or the blades' high-cobalt pins and rollers with low or non-cobalt substitutes. To help utilities understand the exposure reduction and the economic costs and benefits associated with management alternatives, such as accelerated replacement of blades, pins and rollers, EPRI has initiated a project called Cost/Benefit Software for Analyses of Radiation Control Measures (RP1935-32). Through this project EPRI will incorporate engineering-economic techniques into a series of analytical tools that will provide useful insights about alternative exposure reduction options. Prototype software has been developed in an Excel worksheet to analyze issues associated with BWR control rod blade management options. The CRB replacement problem framework and analysis methodology incorporated into the software tool will help plant managers consider explicitly key engineering and economic issues that are relevant to exposure reduction decisions. This tool generates results that can help plant managers make decisions that are fiscally wise by showing all the cost and benefit implications associated with a management action under consideration. This report describes the general analytical approach for evaluating exposure reduction alternatives. The methodology used to analyze blade and pin and roller replacement alternatives, and the results of a case study application of the methodology and the software prototype at Commonwealth Edison
Full Text Available The establishment and application of economical levels demand a procedure to find with precision the insects population in a given moment. In the integrated management of plagues is not allowed the idea that any insect which is feeding from a part of plants requires a control action, that is why it is very important to determine the real effect that this insect population causes to the cultivation. Any decrease in the crop, constitutes a real waste of time; but when the economical level is defined, it is included an additional factor which is the measure cost of the plagues control. The determination of damages of levels is very important for economists, farming experts and specialists; while for producers is very significant its implementation with the objective to count with a sustainable and beneficial agriculture.
... AGENCY 2010 Release of CADDIS (Causal Analysis/Diagnosis Decision Information System) AGENCY... Decision Information System (CADDIS). This Web site was developed to help scientists find, develop, organize, and use environmental information to improve causal assessments of biological impairment....
Palley, Paul D; Parcero, Miriam E
A review of literature during calendar year 2014 focused on environmental policies and sustainable development, and economic policies. This review is divided into these sections: sustainable development, irrigation, ecosystems and water management, climate change and disaster risk management, economic growth, water supply policies, water consumption, water price regulation, and water price valuation. PMID:26420109
Ignacio, Castillo Manzano Jose; Quijada, Maria Teresa Arevalo; Nuño, Maria Mercedes Castro
Due to legislation changes during the Nineties, the Spanish Port System has gone through a series of changes that, simultaneous with a period of economic expansion and generalized marine traffic growth, have affected the Port Systems composition, organization and operation. The gradual transformations produced by this context, give shape to a new model of operation for Port Authorities, which now start to be managed under business criteria and procedures of functional autonomy, competition, ...
Raluca Andreea POPA; Matei CR?CIUN
Over time there was a diverse and continually evolving methods of business development beyond the country of origin, from the traditional export with the center to the complex leading to today's concept of international investment. The level of humanity development known today results from an ongoing investment in various forms. Different ways of measuring the efficiency of investment and investment level were the subject of discussions since the beginning of economic science, leading today t...
Full Text Available Every business is dynamic in nature and is affected by various external and internal factors. These factors include external market conditions, competitors, internal restructuring and re-alignment, operational optimization and paradigm shifts in the business itself. New regulations and restrictions, in combination with the above factors, contribute to the constant evolutionary nature of compelling, business-critical information; the kind of information that an organization needs to sustain and thrive. Business intelligence (âBIâ is broad term that encapsulates the process of gathering information pertaining to a business and the market it functions in. This information when collated and analyzed in the right manner, can provide vital insights into the business and can be a tool to improve efficiency, reduce costs, reduce time lags and bring many positive changes. A business intelligence application helps to achieve precisely that. Successful organizations maximize the use of their data assets through business intelligence technology. The first data warehousing and decision support tools introduced companies to the power and benefits of accessing and analyzing their corporate data. Business users at every level found new, more sophisticated ways to analyze and report on the information mined from their vast data warehouses.Choosing a Business Intelligence offering is an important decision for an enterprise, one that will have a significant impact throughout the enterprise. The choice of a BI offering will affect people up and down the chain of command (senior management, analysts, and line managers and across functional areas (sales, finance, and operations. It will affect business users, application developers, and IT professionals. BI applications include the activities of decision support systems (DSS, query and reporting, online analyticalprocessing (OLAP, statistical analysis, forecasting, and data mining. Another way of phrasing this is that BI applications take data that is generated by the operations of an enterprise and translate that data into relevant and useful information for consumption by people throughout the enterprise.
Samuli I Saarni
Full Text Available Health technology assessment (HTA is the multidisciplinary study of the implications of the development, diffusion and use of health technologies. It supports health-policy decisions by providing a joint knowledge base for decision-makers. To increase its policy relevance, HTA tries to extend beyond effectiveness and costs to also considering the social, organizational and ethical implications of technologies. However, a commonly accepted method for analysing the ethical aspects of health technologies is lacking. This paper describes a model for ethical analysis of health technology that is easy and flexible to use in different organizational settings and cultures. The model is part of the EUnetHTA project, which focuses on the transferability of HTAs between countries. The EUnetHTA ethics model is based on the insight that the whole HTA process is value laden. It is not sufficient to only analyse the ethical consequences of a technology, but also the ethical issues of the whole HTA process must be considered. Selection of assessment topics, methods and outcomes is essentially a value-laden decision. Health technologies may challenge moral or cultural values and beliefs, and their implementation may also have significant impact on people other than the patient. These are essential considerations for health policy. The ethics model is structured around key ethical questions rather than philosophical theories, to be applicable to different cultures and usable by non-philosophers. Integrating ethical considerations into HTA can improve the relevance of technology assessments for health care and health policy in both developed and developing countries.
Convertino, Matteo; Valverde, L James
Management of natural resources in coastal ecosystems is a complex process that is made more challenging by the need for stakeholders to confront the prospect of sea level rise and a host of other environmental stressors. This situation is especially true for coastal military installations, where resource managers need to balance conflicting objectives of environmental conservation against military mission. The development of restoration plans will necessitate incorporating stakeholder preferences, and will, moreover, require compliance with applicable federal/state laws and regulations. To promote the efficient allocation of scarce resources in space and time, we develop a portfolio decision analytic (PDA) framework that integrates models yielding policy-dependent predictions for changes in land cover and species metapopulations in response to restoration plans, under different climate change scenarios. In a manner that is somewhat analogous to financial portfolios, infrastructure and natural resources are classified as human and natural assets requiring management. The predictions serve as inputs to a Multi Criteria Decision Analysis model (MCDA) that is used to measure the benefits of restoration plans, as well as to construct Pareto frontiers that represent optimal portfolio allocations of restoration actions and resources. Optimal plans allow managers to maintain or increase asset values by contrasting the overall degradation of the habitat and possible increased risk of species decline against the benefits of mission success. The optimal combination of restoration actions that emerge from the PDA framework allows decision-makers to achieve higher environmental benefits, with equal or lower costs, than those achievable by adopting the myopic prescriptions of the MCDA model. The analytic framework presented here is generalizable for the selection of optimal management plans in any ecosystem where human use of the environment conflicts with the needs of threatened and endangered species. The PDA approach demonstrates the advantages of integrated, top-down management, versus bottom-up management approaches. PMID:23823331
The continuous escalation of intermittent energy added to the grid and forecasts of peaking power demand increments are rising the effort spent for evaluating the economic feasibility of energy storages. The aim of this research is the techno-economic analysis of Compressed Air Energy Storage (CAES) systems, capable of storing large quantities of off-peak electric energy in the form of high-pressure air, as an ?energy stock? which allows the production of high-profit on-peak electricity when ...
Hilbig, Benjamin E.; Pohl, Rudiger F.
According to part of the adaptive toolbox notion of decision making known as the recognition heuristic (RH), the decision process in comparative judgments--and its duration--is determined by whether recognition discriminates between objects. By contrast, some recently proposed alternative models predict that choices largely depend on the amount of
Zhao, Kun; Smillie, Luke D
Economic games are well-established experimental paradigms for modeling social decision making. A large body of literature has pointed to the heterogeneity of behavior within many of these games, which might be partly explained by broad interpersonal trait dispositions. Using the Big Five and HEXACO (Honesty-Humility, Emotionality, eXtraversion, Agreeableness, Conscientiousness, Openness to Experience) personality frameworks, we review the role of personality in two main classes of economic games: social dilemmas and bargaining games. This reveals an emerging role for Big Five agreeableness in promoting cooperative, egalitarian, and altruistic behaviors across several games, consistent with its core characteristic of maintaining harmonious interpersonal relations. The role for extraversion is less clear, which may reflect the divergent effects of its underlying agentic and affiliative motivational components. In addition, HEXACO honesty-humility and agreeableness may capture distinct aspects of prosocial behavior outside the bounds of the Five-Factor Model. Important considerations and directions for future studies are discussed within the emerging personality-economics interface. PMID:25552474
Shashikanth S. Kalashetty
Managerial economics is the application of the economic concepts and economic analysis to the problems of formulating rational managerial decisions". It is sometimes referred to as business economics and is a branch of economics that applies microeconomic analysis to decision methods of businesses or other management units. As such, it bridges economic theory and economics in practice. It draws heavily from quantitative techniques such as regression analysis, correlation a...
The current study reported here has involved three separate tasks. The first task deals with the development of expected utility analysis techniques for economic evaluation of fusion research. A decision analytic model is developed for the incorporation of market uncertainties, as well as technological uncertainties in an economic evaluation of long-range energy research. The model is applied to the case of fusion research. The second task deals with the potential effects of long-range energy RD and D on fossil fuel prices. ECON's previous fossil fuel price model is extended to incorporate a dynamic demand function. The dynamic demand function supports price fluctuations such as those observed in the marketplace. The third task examines alternative uses of fusion technologies, specifically superconducting technologies and first wall materials to determine the potential for alternative, nonfusion use of these technologies. In both cases, numerous alternative uses are found
Prinz, Susanne; Gründer, Gerhard; Hilgers, Ralf D; Holtemöller, Oliver; Vernaleken, Ingo
This study on healthy young male students aimed to enlighten the associations between an individual's financial decision making and surrogate makers for environmental factors covering long-term financial socialization, the current financial security/responsibility, and the personal affinity to financial affairs as represented by parental income, funding situation, and field of study. A group of 150 male young healthy students underwent two versions of the Holt and Laury (2002) lottery paradigm (matrix and random sequential version). Their financial decision was mainly driven by the factor "source of funding": students with strict performance control (grants, scholarships) had much higher rates of relative risk aversion (RRA) than subjects with support from family (?RRA = 0.22; p = 0.018). Personality scores only modestly affected the outcome. In an ANOVA, however, also the intelligence quotient significantly and relevantly contributed to the explanation of variance; the effects of parental income and the personality factors "agreeableness" and "openness" showed moderate to modest - but significant - effects. These findings suggest that environmental factors more than personality factors affect risk aversion. PMID:24624100
Full Text Available This study on healthy young male students aimed to enlighten the associations between an individuals financial decision making and surrogate makers for environmental factors covering long-term financial socialization, the current financial security/responsibility, and the personal affinity to financial affairs as represented by parental income, funding situation and field of study. A group of 150 male young healthy students underwent two versions of the Holt and Laury (2002 lottery paradigm (matrix and random sequential version. Their financial decision was mainly driven by the factor source of funding: students with strict performance control (grants, scholarships had much higher rates of risk aversion (RRA than subjects with support from family (RRAdiff=0.22; p=0.018. Personality scores only modestly affected the outcome. In an ANOVA, however, also the IQ significantly and relevantly contributed to the explanation of variance; the effects of parental income and the personality factors agreeableness and openness showed moderate to modest but significant - effects. These findings suggest that environmental factors more than personality factors affect risk aversion.
Full Text Available The aim of the article. The aim of the article is to elaborate innovative theoretical and methodological issues and practical recommendations concerning formation of ecological and economic assessment of investment quality, substantiation of investment decisions in the sphere of agricultural land use. The results of the analysis. The analysis of investment quality is undertaken in frames of the analysis of a category Â«investmentÂ». The author finds out that the category of Â«investment qualityÂ» can be investigated from economic and financial sides. From economic point of view, investments are regarded as expenditures on economic reproduction. From financial side, investments are considered as actives that are invested to the business activity in order to receive a profit. The author emphases that such twofold innovative approach can be taken as a principle for determining the category Â«investment qualityÂ». By the meaning of investment quality in agricultural land use one should understand a holistic characteristic of resource attributes that enable to satisfy investment demands in agriculture on the whole and to meet the interests of individual investors in particular. The author distinguishes investment strategies by the features of agricultural ecological and economic system and outlines the following ones: government strategy, banking strategy, self-investment strategy and foreign strategy. A set of ecological and economic indicators of investment quality is formed in the article. In authorsâ opinion, the system of ecological and economic indicators of investment quality must include: optimal investment structure adjusted to the influence of ecological factor; the risk of investment portfolio adjusted to the influence of ecological factor; index of profitability of the investment portfolio adjusted to the influence of ecological factor. For identification of the investment quality the researcher proposes to use additional indicator â the vulnerability index. Firstly, this index shows in what way the investorsâ income changes while decreasing the profits in the sphere of agricultural land use by 1 per cent. Secondly, the above mentioned index defines the desire of investors to be present in agriculture under conditions of irrational use of the land resources. The author estimates investment quality by the criterion of Â«high â lowÂ» and interconnects it with substantiation of investment decisions in agricultural land use. Conclusions and directions of further researches. The author concludes that innovative approaches include the following issues: using of the category Â«investment qualityÂ» helps to raise substantiation of investment attractiveness assessment; the assessment of investment quality is undertaken from the side of each investment strategy which helps to describe motivation issues of investment process; the complex ecologically oriented strategy, offered by the author, is innovative by itself as it is based on the ecological and economic indicators of the investment quality, which has never calculated before. The implementation of such a complex ecologically oriented investment strategy is a subject for further researches.
Saarni, Samuli I; Hofmann, BjÃ¸rn; Lampe, Kristian; LÃ¼hmann, Dagmar; MÃ¤kelÃ¤, Marjukka; Velasco-Garrido, Marcial; Autti-RÃ¤mÃ¶, Ilona
Health technology assessment (HTA) is the multidisciplinary study of the implications of the development, diffusion and use of health technologies. It supports health-policy decisions by providing a joint knowledge base for decision-makers. To increase its policy relevance, HTA tries to extend be......-philosophers. Integrating ethical considerations into HTA can improve the relevance of technology assessments for health care and health policy in both developed and developing countries....... beyond effectiveness and costs to also considering the social, organizational and ethical implications of technologies. However, a commonly accepted method for analysing the ethical aspects of health technologies is lacking. This paper describes a model for ethical analysis of health technology that is...... easy and flexible to use in different organizational settings and cultures. The model is part of the EUnetHTA project, which focuses on the transferability of HTAs between countries. The EUnetHTA ethics model is based on the insight that the whole HTA process is value laden. It is not sufficient to...
A de Waal
Full Text Available Morphological analysis (MA and Bayesian networks (BN are two closely related modelling methods, each of which has its advantages and disadvantages for strategic decision support modelling. MA is a method for defining, linking and evaluating problem spaces. BNs are graphical models which consist of a qualitative and quantitative part. The qualitative part is a cause-and-effect, or causal graph. The quantitative part depicts the strength of the causal relationships between variables. Combining MA and BN, as two phases in a modelling process, allows us to gain the benefits of both of these methods. The strength of MA lies in defining, linking and internally evaluating the parameters of problem spaces and BN modelling allows for the definition and quantification of causal relationships between variables. Short summaries of MA and BN are provided in this paper, followed by discussions how these two computer aided methods may be combined to better facilitate modelling procedures. A simple example is presented, concerning a recent application in the field of environmental decision support.
The methodology in this report improves on some of the limitations of many conventional safety assessment and decision analysis methods. A top-down mathematical approach is developed for decomposing systems and for expressing imprecise individual metrics as possibilistic or fuzzy numbers. A ''Markov-like'' model is developed that facilitates combining (aggregating) inputs into overall metrics and decision aids, also portraying the inherent uncertainty. A major goal of Markov modeling is to help convey the top-down system perspective. One of the constituent methodologies allows metrics to be weighted according to significance of the attribute and aggregated nonlinearly as to contribution. This aggregation is performed using exponential combination of the metrics, since the accumulating effect of such factors responds less and less to additional factors. This is termed ''soft'' mathematical aggregation. Dependence among the contributing factors is accounted for by incorporating subjective metrics on ''overlap'' of the factors as well as by correspondingly reducing the overall contribution of these combinations to the overall aggregation. Decisions corresponding to the meaningfulness of the results are facilitated in several ways. First, the results are compared to a soft threshold provided by a sigmoid function. Second, information is provided on input ''Importance'' and ''Sensitivity,'' in order to know where to place emphasis on considering new controls that may be necessary. Third, trends in inputs and outputs are tracked in order to obtain significant information% including cyclic information for the decision process. A practical example from the air transportation industry is used to demonstrate application of the methodology. Illustrations are given for developing a structure (along with recommended inputs and weights) for air transportation oversight at three different levels, for developing and using cycle information, for developing Importance and Sensitivity measures for soil aggregation, for developing dependence methodology, for constructing early alert logic, for tracking trends, for relating the Markov model to other (e.g., Reason) models, for developing and demonstrating rudimentary laptop software, and for developing an input/output display methodology.
Full Text Available Entrepreneurship is important, entrepreneur plays a major role at micro and maroeconomic level. Entrepreneur is the manager and employee at the same time, is leader and innovator, his company provides products and services that society needs. Europe needs more entrepreneurs and those who want to follow the path of entrepreneurship needs to face multiple challenges that can be overcome when the future entrepreneur benefit from a complex entrepreneurship education. This paper aims, through applied questionnaire, to identify whether future economists are determined to choose the path of entrepreneurship and start a business on their own. Also, we wanted to identify the obstacles that interviewees consider that you have to struggle to start their business. We applied a questionnaire to students, final year bachelor's degree, studying economics. They were chosen because during the three years study several economic disciplines: microeconomics, macroeconomics, management, accounting, finance, law, economic analysis, the national economy, European policy.
Gedefaw Abate, Tenaw
developmental stage. The key challenge in this regard is that the conventional used live feed items, Artemia and rotifers, are nutritionally deficient. Thus, the first main purpose of the thesis is carrying out an economic analysis of the feasibility of commercial production and the use of an alternative live...... challenges that could obstruct its sustainable development, such as a lack of suitable feed, which includes fishmeal, fish oil and live feed, and negative environmental externalities. If the aquaculture industry is to reach its full potential, it must be both environmentally and economically sustainable. To...... feed item, copepods, which have a superior biochemical composition to the conventional live feed items. Using a unique data set from Denmark, the thesis shows that copepods are not only a biologically superior live feed item as documented in the literature but also an economically viable alternative...
Manuel A. Blanco Losada; LÃ³pez y DÃaz Delgado, Elena; MartÃnez Vicente, Silvio
El principal defecto de la macroeconomÃa de hoy es que subestima la dimensiÃ³n financiera de las decisiones econÃ³micas, que reduce el papel esencial del dinero en las economÃas avanzadas como se manifiesta en los procesos de prÃ©stamos y deudas. En consecuencia, para cubrir este vacÃo, proponemos un modelo que aÃ±ade nuevas dimensiones al proceso de toma de decisiones de las familias, de manera que los hogares se caracterizan por decidir no sÃ³lo lo que tienen que consumir y ahorrar, sino t...
Edmonds, Eric V; Salinger, Philip
Purpose The purpose of this paper is to examine the reasons that children migrate without a parent. Design/methodology/approach The economic components of the answer to this question are considered by examining the correlates of out-migration for children under 15 whose mothers reside in Bihar and Uttar Pradesh, India. Findings In this data 1 million children appear to have migrated away from home. On average 3 per cent of living children aged 5-14 in the communities are away from home,...
Full Text Available In 2014, the European Medicines Agency (EMA has given the license to two new direct-acting antiviral: sofosbuvir and simeprevir. The evidence provided by the studies, reported a high rate of SVR even in patients with decompensated cirrhosis. This and other innovative elements are potentially adept at changing the entire natural course of HCV. However, the dramatic prevalence rates of HCV observed in Italy, and the high prices that are expected to be required by the pharmaceutical industry, raises some critical issues about how to regulate access to such drugs. The objective of this article is to present a new decision model for the evaluation of novel therapies for HCV. This model is intended to provide a tool for the decision-maker that seeks to address the main issues related to the introduction of HCV new treatments. The model that we have structured follows the classic Bayesian approach, using data from reference literature for staging the action of treatments depending on the level of fibrosis (F0, F1, F2, F3, F4. The model is designed to consider patients with all genotypes and allows to make comparisons between innovative and traditional therapies (dual, triple, IFN free, PI combinations, etc., for both experienced and naïve patients. In addition, the model is used to simulate mixed cohorts of patients, representing a population with HCV with different levels of fibrosis and different genotypes. To show the potential of the model, we created some simple scenarios assuming different levels of SVR and pricing. The results of our model show that, even assuming an SVR rate of 100%, the administration of new treatments for HCV subjects F1 / 2 has an incremental cost-effectiveness ratio not sustainable. In contrast, for the subjects F3 and F4, low incremental SVR rates and an incremental cost of the innovative therapy of 40,000 would be cost effective. The added value of this model is its versatility and applicability to diverse assessment needs. In addition, the model offers an opportunity for reflection even to the industry, which in the years to come will have to develop strategies for entering the market and offer sustainable prices for decision-makers and at the same time remunerate the investment in research and development consistently with the expectations of the shareholders.http://dx.doi.org/10.7175/fe.v15i3.945
Udude Celina C
Full Text Available This research work employed the use of cointegration analysis in the study of export and economic growth in Nigeria. It was embarked on, in order to determine whether there is bi-directional relationship between exports and economic growth in Nigeria. More so, it tries to evaluate significant impact of exports on the economic growth in Nigeria. On the application of advanced econometric techniques like Augumented Dickey Fuller and Phillips Perron Unit Root Test, Johansen Cointegration Test and Error Correction Mechanism, the following information surfaced: - There existed a long-run relationship with economic growth and export in Nigeria. None of the variables were stationary at zero level. This means they all have unit roots. Having integrated the short run dynamics and long run equilibrium, Imports (IMP and Exchange Rate were positively correlated with GDP while Exports (EXC was negatively related with GDP. The short-run dynamics adjusts to the long-run equilibrium at the rate of 0.866% per annum. In the bid to achieve economic growth, it was recommended that there should be diversification of export commodities, infrastructure development, and maintenance of stable exchange rate and operationalization of Export Processing Zones.
Hanlon, Christopher J.; Stefik, Jason B.; Small, Arthur A.; Verlinde, Johannes; Young, George S.
Field campaigns in atmospheric science typically require making challenging decisions about how best to deploy limited resources, especially aircraft flight hours. Algorithmic decision tools have shown the potential to outperform traditional heuristic approaches to allocating limited flight hours in field campaigns. The present study examines the utility of algorithmic decision tools in an application to the Atmospheric Radiation Measurement (ARM) Small Particles in Cirrus (SPartICus) campaign, which sampled cirrus clouds over the ARM Southern Great Plains (SGP) site between January and June 2010. Probabilistic forecasts of suitable data collection conditions were generated using relative humidity forecasts from the Global Forecast System (GFS) and self-organizing maps. An optimization procedure based on dynamic programming was then used to generate day-ahead fly/no-fly decisions for research flights over the SGP site. The quality of flight decisions thus generated were compared with those made by the SPartICus science team. Results showed that the algorithmic decision tool would have delivered 11% more optimal data while shortening the length of the campaign season by 29 days and reducing the per-day expenditure of investigator time on activities of forecasting and decision-making.
Michael P Craven; Morgan, Stephen P.; Crowe, John A.; LU, Bo
Early stage evaluation of medical device innovations is important for healthcare decision-makers as much as for manufacturers, meaning that a wider application of a basic cost-effectiveness analysis is becoming necessary outside the usual expert base of health technology assessment specialists. Resulting from an academic-industry-healthcare professional collaboration, a spreadsheet tool is described that was designed to be accessible both to professionals in healthcare delivery organisations ...
This paper reports upon a decision analysis experiment conducted among sixteen individuals who were well informed on the topic of nuclear weapons proliferation and on the civilian use of plutonium fuel cycles. The results are troublesome to those who believe in the possibility of objective scientific judgments in an area as polarized as this one has become. Depending upon whether one supports or opposes plutonium fuel cycles, one also tends to adopt arguments on uranium availability, energy demand growth, and so on that support one or the other position. This finding could help explain why it has proved so difficult to reach a factual consensus within expert working groups, each specializing in a particular aspect of the overall problem. Consciously or subconsciously, it appears that the expert committees are simultaneously debating the larger issue that confronts society
Teresa E. Encarnacion Tadem
Full Text Available This paper seeks to elucidate the Philippine technocracys rise into the power elite as well as its fall from position during the martial law period (1972- 1986. It aims to bring in the insights of the technocrats concerning their role in President Ferdinand E. Marcoss authoritarian regime and their views of the nature of the politics, which facilitated as well as impeded the economic decision-making process. It will validate this with what has already been written. The paper argues that the technocracys technical expertise and shared development vision with the leadership and the countrys major donors, the International Monetary Fund (IMF and the World Bank, provided their power base.This was, however, continually challenged by the other economic power blocs which consisted mainly of factions within the technocracy, the Marcos cronies, and that of the First Lady Mrs. Imelda Marcos. For as long as the technocracy could access the needed IMF/World Bank loans for the country, the leadership gave it substantive bargaining leverage. This, however, would deteriorate with the countrys economic and political instability as brought about by failed technocratic policies and worldwide economic recession in 1981 and the burgeoning antidictatorship movement spawned further by the 1983 assassination of ex-Senator Benigno Aquino Jr. The technocracys loss of power was further aggravated by Marcoss failing health giving more clout to Mrs. Marcoss power bloc. What contributed to the technocracys ultimate demise was their alienation from the general public as brought about by their vast differing perceptions of the causes of corruption, underdevelopment, and human rights abuses of the regime.
Full Text Available Modern society is characterised not only by a fascination with scientific technology as a means of solving all problems, especially those that stand in the way of material progress (technicism, but also by an obsessive interest in everything that has to do with money (economism or mammonism. The article discusses the relationship between technicism and economism, on the basis of their relationship to utilitarian thinking: the quest for the greatest happiness for the greatest number of people. Recent major studies of neo-liberalism (seen as an intensification of utilitarianism by Laval and Dardot are used as reference to the development of utilitarianism. It is suggested that the western view of the world, as expressed in economism and technicism, with a utilitarian ethics, features three absolutisations: those of theoretical thinking, technology and economics. In a second part, the article draws on the framework of reformational philosophy to suggest an approach that, in principle, is not marred by such absolutisations.
Daniela Cristina Solomon
Full Text Available Considering the impact of risk factors in the economic environment, this study provides to all users of financial information a possible pattern for analyzing the financial equilibrium, designed to clarify the importance of dynamic analysis of indicators characterizing the financial equilibrium of an enterprise, expressed on absolute values, especially for managers in decision-making on future work, aimed at achieving pre-established strategic and tactical objectives. Practice has shown that the management cannot be based on intuition and routine but on a scientific analysis, on a thorough knowledge of the existing situation, as well as on the identification of vulnerabilities and opportunities for development. In order to promote a rational policy concerning business growth and achieving economic and financial satisfactory results, the companys management grants a special importance to the financial diagnosis. The support of financial analysis is the balance sheet that allows developing financial diagnosis on the financial equilibrium conditions and creditworthiness, objectives that allow the evaluation of the independence of the firm and its market value.
Modern society is characterised not only by a fascination with scientific technology as a means of solving all problems, especially those that stand in the way of material progress (technicism), but also by an obsessive interest in everything that has to do with money (economism or mammonism). The article discusses the relationship between technicism and economism, on the basis of their relationship to utilitarian thinking: the quest for the greatest happiness for the greatest number of peopl...
The rapid growth of high-data-rate applications along with the fact that the majority of mobile data traffic is originated indoor has drawn much attention on IBW (In Building Wireless) solutions, from industry to academic research. The mobile network operators seek proper indoor solutions to accommodate the high indoor traffic demand for their future network evolution. In this thesis, we study the dedicated indoor systems for enterprise solutions. The DAS and Femtocells constitute two major IBW solutions for efficient in-building coverage extension and capacity provision. This study makes a technology economical examination based on these two systems for network evolution using the LTE technology. The performance is evaluated based on simulations. Overall, the DAS is less efficient in providing high speed, high volume mobile data services than the multi-cell system, i.e. the Femto system and the proposed centralized coordinated scheduling system. The proposed system is proved capable of achieving the best overall performance. Subsequently, we conduct the financial economic analysis for indoor DAS and Femto systems based on the TCO analysis. For very high data-rate in-building deployment, the Femto system has absolute advantage compared to the DAS. For coverage-oriented deployment with very limited user data traffic demand, DAS is the most economical solution in large-size buildings, and Femto is more economical for deployment in small-size buildings.
Full Text Available This article is an empirical analysis of an individual's decision to participate in community economic development (CED initiatives in Canada. The objective of the analysis is to better understand how individuals make decisions to volunteer time toward CED initiatives and to determine whether the determinants of participation in CED are unique when compared to those of participation in volunteer activities in general. The dataset employed is Statistics Canada's 2004 Canada Survey of Giving, Volunteering and Participating (CSGVP. To date, there has been no prior econometric analysis of the decision to participate in community economic development initiatives in Canada. Results suggest a role for both public policymakers and practitioners in influencing participation in CED. / Cet article constitue une analyse empirique du processus de prise de décision chez les individus en ce qui a trait à la participation aux initiatives canadiennes de développement économique communautaire (DÉC. Le but de l'analyse est de mieux comprendre la façon dont les individus prennent la décision de consacrer du temps au bénévolat dans les initiatives de DÉC. Elle sert aussi à trancher la question de savoir si les facteurs de participation aux initiatives de développement économique communautaire sont uniques ou communs à la participation à des activités bénévoles en général. Les données employées dans le cadre de cette analyse sont puisées de l'Enquête canadienne sur le don, le bénévolat et la participation effectuée par Statistique Canada en 2004. À ce jour, aucune analyse économétrique n'a été menée sur la décision de participer aux initiatives canadiennes de DÉC. Les résultats suggèrent que les responsables de l'élaboration des politiques ainsi que les praticiens influencent tous deux la participation aux initiatives de DÉC.