Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research

ISBN-13: 9780521802567 / Angielski / Twarda / 2004 / 366 str.

Subhash C. Ray (University of Connecticut)

Opis

This book describes the method of data envelopment analysis that uses mathematical programming techniques to obtain measures of efficiency of individual forms from their observed input and output quantities. The method permits setting up realistic input-output targets for the firm's managers. A firm is considered to be technically inefficient when it fails to yield the maximum quantity of output producible from the input bundle it uses. Measurement of technical efficiency is important for performance evaluation and provides an objective basis for differential rewards in the context of production.

Recenzje

"Only a deep understanding of the economics of production can provide an Ariadne's thread to find oneas way through the existing literature on efficiency analysis in general and on the DEA method in particular. In this book, Professor Ray offers the reader an enlightening guidance through this maze, thanks to his equal mastery of the economic conceptual foundations of the field and of the mathematical programming techniques that have rendered it widely applicable. The result is a choice of topics that bear on basic aspects of the efficiency issue more than on technical virtuosity. Among these, the way FDH is put in its proper nonparametric production theoretic perspective pleases me most." Henry Tulkens, CORE, Université Catholique de Louvain

Spis treści

1. Introduction and overview; 2. Productivity, efficiency, and data envelopment analysis; 3. Variable returns to scale: separating technical and scale efficiencies; 4. Extensions to the basic DEA models; 5. Non-radial models and Pareto-Koopmans measures of technical efficiency; 6. Efficiency measurement without convexity assumption: free disposal hull analysis; 7. Dealing with slacks: assurance region/cone ratio analysis, weak disposability, and congestion; 8. Efficiency of merger and break up of firms; 9. Efficiency analysis with market prices; 10. Nonparametric approaches to production analysis; 11. Measuring total factor productivity change over time; 12. Stochastic approaches to data envelopment analysis; 13. Looking ahead.