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Using the neo-classical theory of production economics as the analytical framework, this book, first published in 2004, provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines. The various DEA models are developed as nonparametric alternatives to the econometric models. Apart from the standard fare consisting of the basic input- and output-oriented DEA models formulated by Charnes, Cooper, and Rhodes, and Banker, Charnes, and Cooper, the book covers developments such as the directional distance function, free disposal hull (FDH) analysis, non-radial measures of efficiency, multiplier bounds, mergers and break-up of firms, and measurement of productivity change through the Malmquist total factor productivity index. The chapter on efficiency measurement using market prices provides the critical link between DEA and the neo-classical theory of a competitive firm. The book also covers several forms of stochastic DEA in detail.
Data envelopment analysis. --- Production (Economic theory) --- econometrie --- operations research --- productiviteit --- regressie-analyse --- wiskundige statistiek --- Business, Economy and Management --- Economics --- Production (Economic theory). --- Data envelopment analysis --- DEA (Data envelopment analysis) --- Microeconomics --- Supply and demand --- Demand (Economic theory) --- Supply-side economics --- Linear programming --- Multivariate analysis
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This two-volume handbook includes surveys of the state of the art in different areas of neoclassical production economics. Volume 1 will cover theoretical and methodological issues only. Volume 2 will include surveys of empirical applications in different areas like manufacturing, agriculture, banking, energy and environment, and so forth.
Microeconomics --- Methodology of economics --- Economic conditions. Economic development --- Developing countries: economic development problems --- Agronomy --- Production management --- Business management --- Business economics --- financieel management --- landbouwbeleid --- ontwikkelingssamenwerking --- productie --- micro-economie --- Microeconomics. --- Agricultural economics. --- Production management. --- Industrial engineering. --- Production engineering. --- Development economics. --- Agricultural Economics. --- Production. --- Industrial and Production Engineering. --- Development Economics.
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This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes. Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different contexts and how to implement them. Of particular appeal are the instructions on (i) how to write the codes for different SFA models on STATA, (ii) how to write a VBA Macro for repetitive solution of the DEA problem for each production unit on Excel Solver, and (iii) how to write the codes for the Nonparametric Convex Frontier estimation. The three other papers in the volume are primarily theoretical and will be of interest to PhD students and researchers hoping to make methodological and conceptual contributions to the field of nonparametric efficiency analysis.
Economics/Management Science. --- Operation Research/Decision Theory. --- Microeconomics. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Production/Logistics/Supply Chain Management. --- Econometrics. --- Economics. --- Economics --- Operations research. --- Economie politique --- Econométrie --- Micro-économie --- Recherche opérationnelle --- Statistics. --- Benchmarking (Management). --- Production management. --- Management --- Business & Economics --- Management Theory --- Benchmarking (Management) --- Manufacturing management --- Benchmarks (Management) --- Business. --- Decision making. --- Business and Management. --- Operations Management. --- Industrial management --- Total quality management --- Operations Research/Decision Theory. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Economics, Mathematical --- Statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Price theory --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Statistics . --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making
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This three-volume handbook includes state-of-the-art surveys in different areas of neoclassical production economics. Volumes 1 and 2 cover theoretical and methodological issues only. Volume 3 includes surveys of empirical applications in different areas like manufacturing, agriculture, banking, energy and environment, and so forth.
Production (Economic theory) --- Microeconomics --- Supply and demand --- Demand (Economic theory) --- Supply-side economics --- Microeconomics. --- Agriculture --- Economics. --- Industrial engineering. --- Production engineering. --- Development economics. --- Agricultural Economics. --- Industrial and Production Engineering. --- Development Economics. --- Economic aspects. --- Economics --- Economic development --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Economic theory --- Political economy --- Social sciences --- Economic man --- Agrarian question --- Agribusiness --- Agricultural economics --- Agricultural production economics --- Production economics, Agricultural --- Land use, Rural --- Price theory --- Economic aspects
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This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes. Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different contexts and how to implement them. Of particular appeal are the instructions on (i) how to write the codes for different SFA models on STATA, (ii) how to write a VBA Macro for repetitive solution of the DEA problem for each production unit on Excel Solver, and (iii) how to write the codes for the Nonparametric Convex Frontier estimation. The three other papers in the volume are primarily theoretical and will be of interest to PhD students and researchers hoping to make methodological and conceptual contributions to the field of nonparametric efficiency analysis.
Statistical science --- Microeconomics --- Quantitative methods (economics) --- Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Production management --- Business economics --- Computer. Automation --- besluitvorming --- management --- mathematische modellen --- statistiek --- productie --- micro-economie --- speltheorie --- econometrie --- operationeel onderzoek
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This three-volume handbook includes state-of-the-art surveys in different areas of neoclassical production economics. Volumes 1 and 2 cover theoretical and methodological issues only. Volume 3 includes surveys of empirical applications in different areas like manufacturing, agriculture, banking, energy and environment, and so forth.
Microeconomics --- Methodology of economics --- Economic conditions. Economic development --- Developing countries: economic development problems --- Economics --- Engineering sciences. Technology --- Agronomy --- Production management --- Business management --- Business economics --- financieel management --- economie --- landbouwbeleid --- ontwikkelingssamenwerking --- productie --- micro-economie --- ingenieurswetenschappen
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