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Measuring Scale Efficiency from the Translog Multi-Input, Multi-Output Distance Function

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  • Subhash Ray

    (University of Connecticut)

Abstract

Ray (1998) developed measures of input- and output-oriented scale efficiency that can be directly computed from an estimated Translog frontier production function. This note extends the earlier results from Ray (1998) to the multiple-output multiple input case.

Suggested Citation

  • Subhash Ray, 2003. "Measuring Scale Efficiency from the Translog Multi-Input, Multi-Output Distance Function," Working papers 2003-25, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2003-25
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    References listed on IDEAS

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    1. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    2. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    3. Atkinson, Scott E. & Primont, Daniel, 2002. "Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions," Journal of Econometrics, Elsevier, vol. 108(2), pages 203-225, June.
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    Cited by:

    1. Christian Growitsch & Tooraj Jamasb & Michael Pollitt, 2009. "Quality of service, efficiency and scale in network industries: an analysis of European electricity distribution," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2555-2570.
    2. Gian Paolo Barbetta & Gilberto Turati & Angelo M. Zago, 2007. "Behavioral differences between public and private not‐for‐profit hospitals in the Italian national health service," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 75-96, January.
    3. Qushim, Berdikul & Bhandari, Basu & Gillespie, Jeffrey & Scaglia, Guillermo, 2017. "Grass-Fed Beef Enterprise Efficiency Analysis in the U.S," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252735, Southern Agricultural Economics Association.
    4. Catherine Paul & Richard Nehring & David Banker & Agapi Somwaru, 2004. "Scale Economies and Efficiency in U.S. Agriculture: Are Traditional Farms History?," Journal of Productivity Analysis, Springer, vol. 22(3), pages 185-205, November.
    5. Kostas Kounetas & Kostas Tsekouras, 2007. "Measuring Scale Efficiency Change Using a Translog Distance Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(1), pages 63-69, April.
    6. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    7. Daehoon Nahm & Ha Vu, 2013. "Measuring scale efficiency from a parametric hyperbolic distance function," Journal of Productivity Analysis, Springer, vol. 39(1), pages 83-88, February.
    8. Qushim, Berdikul & Gillespie, Jeffrey & McMillin, Kenneth, 2015. "Efficiency Analysis of Southeastern U.S. Meat Goat Production," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196818, Southern Agricultural Economics Association.
    9. Mellah, Thuraya & Ben Amor, Tawfik, 2016. "Performance of the Tunisian Water Utility: An input-distance function approach," Utilities Policy, Elsevier, vol. 38(C), pages 18-32.
    10. Yu, Bingxin & Liao, Xiyuan & Shen, Hongfang, 2013. "Parametric decomposition of the malmquist index in an output-oriented distance function: Productivity in Chinese agriculture," IFPRI discussion papers 1244, International Food Policy Research Institute (IFPRI).

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