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Production Frontiers

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  • Fare,Rolf
  • Grosskopf,Shawna
  • Lovell,C. A. Knox

Abstract

This book presents a mathematical programming approach to the analysis of production frontiers and efficiency measurement. The authors construct a variety of production frontiers, and by measuring distances to them are able to develop a model of efficient producer behaviour and a taxonomy of possible types of departure from efficiency in various environments. Linear programming is used as an analytical and computational technique in order to accomplish this. The approach developed is then applied to modelling producer behaviour. By focusing on the empirical relevance of production frontiers and distances to them, and applying linear programming techniques to artificial data to illustrate the type of information they can generate, this book provides a unique study in applied production analysis. It will be of interest to scholars and students of economics and operations research, and analysts in business and government.

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Bibliographic Info

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This book is provided by Cambridge University Press in its series Cambridge Books with number 9780521072069 and published in 2008.

Order: http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521072069
Handle: RePEc:cup:cbooks:9780521072069

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Web page: http://www.cambridge.org

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Cited by:
  1. Torben Holvad & Jens Hougaard & Dorte Kronborg & Hans Kvist, 2004. "Measuring inefficiency in the Norwegian bus industry using multi-directional efficiency analysis," Transportation, Springer, vol. 31(3), pages 349-369, August.
  2. Malgorzata Sulimierska, 2014. "Total factor productivity estimation for Polish manufacturing industry: A comparison of alternative methods," Working Paper Series 6714, Department of Economics, University of Sussex.
  3. R. Banker & W. Cooper & E. Grifell-Tajté & Jesús Pastor & Paul Wilson & Eduardo Ley & C. Lovell, 1994. "Validation and generalization of DEA and its uses," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 2(2), pages 249-314, December.

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