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Productivity Growth and Efficiency under Leontief Technology: An Application to US Steam-Electric Power Generation Utilities

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  • Margarita Genius

    ()
    (Department of Economics, University of Crete, Greece)

  • Spyro Stefanou

    (Pennsylvania State University)

  • Vangelis Tzouvelekas

    ()
    (Department of Economics, University of Crete, Greece)

Abstract

A theoretical framework is developed for decomposing partial factor productivity and measuring technical inefficiency when the underlying technology is characterized by factor non-substitution. With Farrell's (1957) radial index of technical inefficiency being inappropriate in this case, Russell's (1985; 1987) non-radial indices are adapted to measure technical inefficiency in a Leontief model. A system of factor demand equations with a regime specific technical inefficiency term is proposed and estimated allowing for dependence across inputs using a copula approach. Then the paper presents a complete decomposition of partial factor productivity changes using a dataset of U.S. steam-power electric generation utilities.

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Bibliographic Info

Paper provided by University of Crete, Department of Economics in its series Working Papers with number 0913.

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Date of creation: 29 Jul 2009
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Handle: RePEc:crt:wpaper:0913

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  1. Andrew N. Kleit & Dek Terrell, 2001. "Measuring Potential Efficiency Gains From Deregulation Of Electricity Generation: A Bayesian Approach," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 523-530, August.
  2. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-23, August.
  3. Robert Russell, R., 1985. "Measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 35(1), pages 109-126, February.
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  7. Rungsuriyawiboon, Supawat & Stefanou, Spiro E., 2007. "Dynamic Efficiency Estimation: An Application to U.S. Electric Utilities," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 226-238, April.
  8. Lau, Lawrence J & Tamura, Shuji, 1972. "Economies of Scale, Technical Progress, and the Nonhomothetic Leontief Production Function: An Application to the Japanese Petrochemical Processing Industry," Journal of Political Economy, University of Chicago Press, vol. 80(6), pages 1167-87, Nov.-Dec..
  9. Kopp, Raymond J, 1981. "The Measurement of Productive Efficiency: A Reconsideration," The Quarterly Journal of Economics, MIT Press, vol. 96(3), pages 477-503, August.
  10. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-48, September.
  11. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
  12. Garth Holloway & Quirino Paris, 2002. "Production Efficiency in the von Liebig Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1271-1278.
  13. L. Dean Hiebert, 2002. "The Determinants of the Cost Efficiency of Electric Generating Plants: A Stochastic Frontier Approach," Southern Economic Journal, Southern Economic Association, vol. 68(4), pages 935-946, April.
  14. 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.
  15. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
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