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The role of multiplier bounds in efficiency analysis with application to Kansas farming by Russell G. Thompson; Larry N. Langemeier; Chih-Tah Lee; Euntaik Lee; Robert M. Thrall is a Economics, Econometrics and Finance article available to read on EtoBox.

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As long recognized, the problem of efficiency involves both technical and economic facets. Determination of the technically efficient firms provides the base for economic analysis. Values in terms of prices or costs must be introduced into the problem to work towards finding firms which might be regarded as overall efficient. That problem came to the forefront in a 1984 study to find the best site for location of a Superconducting Super Collider @SC) in the state of Texas. Application of a modern value-free frontier method called Data Envelopment Analysis (DEA) to the data, which was primarily engineering and geological in character, showed five of the six feasible sites were technically efficient. However, additional socioeconomic/environmental data provided 'price-cost' inequality bounds for the mathematical multipliers in the DEA problem. Including those bounds in the analysis, which was called an Assurance Region (AR), reduced the number of efficient sites from five to one. In 1988, the U.S. Department of Energy in national competition actually selected the site identified by the bounding method for location of the SSC. In this paper, the AR concept is defined for efficiency an

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Author

Russell G. Thompson; Larry N. Langemeier; Chih-Tah Lee; Euntaik Lee; Robert M. Thrall

Publisher

Elsevier BV

Published

1990

Language

EN

Field

Economics, Econometrics and Finance (Social Sciences)