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Technical and Economic Efficiency Measures Under Short Run Profit Maximizing Behavior

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  • Laurens Cherchye
  • Timo Kuosmanen
  • Hervé Leleu

Abstract

The duality between measures of economic and technical efficiency has been extensively studied in the productive efficiency analysis. This duality ensures a meaningful interpretation of technical efficiency as economic efficiency evaluated at the most favorable shadow prices. This paper concentrates on economic efficiency as short run profit efficiency. We first argue that a modified version of Varian?s goodness-of-fit measure provides an appropriate economic efficiency measure in that context. Next, we show that a variant of the McFadden gauge function provides a natural dual efficiency measure for this short run profit efficiency measure. In particular, we establish two attractive properties of that technical efficiency measure: (i) it can be interpreted as Varian?s profit efficiency measure evaluated at shadow prices; (ii) it provides an upper bound for profit efficiency JEL Classification : D2, D24

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Bibliographic Info

Article provided by De Boeck Université in its journal Recherches économiques de Louvain.

Volume (Year): 76 (2010)
Issue (Month): 2 ()
Pages: 163-173

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Handle: RePEc:cai:reldbu:rel_762_0163

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Keywords: profit efficiency; technical efficiency; technology distance functions;

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  1. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
  2. Stéphane Blancard & Jean-Philippe Boussemart & Walter Briec & Kristiaan Kerstens, 2005. "Short- and Long-Run Credit Constraints in French Agriculture: A Directional Distance Function Framework Using Expenditure-Constrained Profit Functions," Working Papers 2005-ECO-02, IESEG School of Management.
  3. Salnykov, Mykhaylo & Zelenyuk, Valentin, 2005. "On the Commensurability of Directional Distance Functions," MPRA Paper 7068, University Library of Munich, Germany.
  4. Timo Kuosmanen, 2003. "Duality Theory of Non-convex Technologies," Journal of Productivity Analysis, Springer, vol. 20(3), pages 273-304, November.
  5. Bruce Domazlicky & William Weber, 2004. "Does Environmental Protection Lead to Slower Productivity Growth in the Chemical Industry?," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 28(3), pages 301-324, July.
  6. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
  7. Robert Russell, R., 1985. "Measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 35(1), pages 109-126, February.
  8. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409.
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Cited by:
  1. Laurens Cherchye & Bram De Rock, 2013. "The Economic Meaning of Data Envelopment Analysis: a "Behavioral" Perspective," Working Papers ECARES 2013/137577, ULB -- Universite Libre de Bruxelles.
  2. Kumbhakar, Subal C., 2013. "Specification and estimation of multiple output technologies: A primal approach," European Journal of Operational Research, Elsevier, vol. 231(2), pages 465-473.

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