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The Determinants of the Cost Efficiency of Electric Generating Plants: A Stochastic Frontier Approach

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  • L. Dean Hiebert

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    (Illinois State University, Department of Economics)

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    Abstract

    This article provides a detailed analysis of generation plant operating cost efficiency over the period 1988–1997. I estimate a stochastic frontier cost function together with a model of plant inefficiencies to measure the operating efficiencies of individual plants and identify factors that are associated with variations in plant efficiencies. I find evidence that plant efficiencies are associated with capacity utilization of the plant, the number of plants under utility management, and ownership form. I also find that regulatory restructuring activity in certain states is associated with improvements in plant operating performance.

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    Bibliographic Info

    Article provided by Southern Economic Association in its journal Southern Economic Journal.

    Volume (Year): 68 (2002)
    Issue (Month): 4 (April)
    Pages: 935-946

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    Handle: RePEc:sej:ancoec:v:68:4:y:2002:p:935-946

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    Web page: http://www.southerneconomic.org/
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    Cited by:
    1. Fu, Xiaolan & Yang, Qing Gong, 2009. "Exploring the cross-country gap in patenting: A Stochastic Frontier Approach," Research Policy, Elsevier, vol. 38(7), pages 1203-1213, September.
    2. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    3. Margarita Genius & Spyro Stefanou & Vangelis Tzouvelekas, 2009. "Productivity Growth and Efficiency under Leontief Technology: An Application to US Steam-Electric Power Generation Utilities," Working Papers 0913, University of Crete, Department of Economics.
    4. Carlos Pestana Barros, 2008. "Identification of Segments of Thermo Energy Plants with a Latent Class Model," Working Papers Department of Economics 2008/11, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
    5. 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.
    6. Barros, Carlos P. & Peypoch, Nicolas, 2007. "The determinants of cost efficiency of hydroelectric generating plants: A random frontier approach," Energy Policy, Elsevier, vol. 35(9), pages 4463-4470, September.
    7. Chang, Dong-Shang & Chen, Yi-Tui & Chen, Wen-Den, 2009. "The exogenous factors affecting the cost efficiency of power generation," Energy Policy, Elsevier, vol. 37(12), pages 5540-5545, December.
    8. Kabir Malik & Maureen Cropper & Alexander Limonov & Anoop Singh, 2011. "Estimating the Impact of Restructuring on Electricity Generation Efficiency: The Case of the Indian Thermal Power Sector," NBER Working Papers 17383, National Bureau of Economic Research, Inc.
    9. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    10. Barros, Carlos Pestana, 2008. "Efficiency analysis of hydroelectric generating plants: A case study for Portugal," Energy Economics, Elsevier, vol. 30(1), pages 59-75, January.
    11. Zhao, Xiaoli & Ma, Chunbo, 2013. "Deregulation, vertical unbundling and the performance of China's large coal-fired power plants," Energy Economics, Elsevier, vol. 40(C), pages 474-483.
    12. Genius, Margarita & Stefanou, Spiro E. & Tzouvelekas, Vangelis, 2012. "Measuring productivity growth under factor non-substitution: An application to US steam-electric power generation utilities," European Journal of Operational Research, Elsevier, vol. 220(3), pages 844-852.
    13. Du, Limin & He, Yanan & Yan, Jianye, 2013. "The effects of electricity reforms on productivity and efficiency of China's fossil-fired power plants: An empirical analysis," Energy Economics, Elsevier, vol. 40(C), pages 804-812.
    14. Supawat Rungsuriyawiboon, 2004. "A Dynamic Approach to Estimate the Efficiency of U.S. Electric Utilities," Econometric Society 2004 Australasian Meetings 91, Econometric Society.
    15. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Regulation, pollution and heterogeneity in Japanese steam power generation companies," Energy Policy, Elsevier, vol. 37(8), pages 3109-3114, August.
    16. See, Kok Fong & Coelli, Tim, 2012. "An analysis of factors that influence the technical efficiency of Malaysian thermal power plants," Energy Economics, Elsevier, vol. 34(3), pages 677-685.

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