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Allocative efficiency, potential cost savings, and power supply price markdown in Korean electric power sector

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  • Myunghun Lee

Abstract

As one publicly owned company monopolizes the electricity supply, Korea’s power market has been distorted. Firms faced with constraints imposed by a regulatory environment are likely to fail to minimize their production costs subject to market prices. In this paper, we test for allocative efficiency of fuel inputs for the Korean electric power industry over the period of 1990–2015. The potential cost savings and maximum power supply price markdown are calculated by imposing allocative efficiency. The power plants, on average, could have reduced their fuel costs by as much as 22.1% annually. The attainment of allocative efficiency would have enabled the power supply price to be cut by 7.6% annually.

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  • Myunghun Lee, 2019. "Allocative efficiency, potential cost savings, and power supply price markdown in Korean electric power sector," Energy & Environment, , vol. 30(4), pages 617-628, June.
    • Handle: RePEc:sae:engenv:v:30:y:2019:i:4:p:617-628
    DOI: 10.1177/0958305X18802767
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    1. Gregory M. Ellis & Robert Halvorsen, 2002. "Estimation of Market Power in a Nonrenewable Resource Industry," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 883-899, August.
    2. Lee, Myunghun, 2002. "The effect of sulfur regulations on the U.S. electric power industry: a generalized cost approach," Energy Economics, Elsevier, vol. 24(5), pages 491-508, September.
    3. Atkinson, Scott E & Halvorsen, Robert, 1984. "Parametric Efficiency Tests, Economies of Scale, and Input Demand in U.S. Electric Power Generation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 647-662, October.
    4. Atkinson, Scott E & Cornwell, Christopher, 1994. "Parametric Estimation of Technical and Allocative Inefficiency with Panel Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(1), pages 231-243, February.
    5. Atkinson, Scott E & Halvorsen, Robert, 1980. "A Test of Relative and Absolute Price Efficiency in Regulated Utilities," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 81-88, February.
    6. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
    7. Atkinson, Scott E. & Halvorsen, Robert, 1998. "Parametric tests for static and dynamic equilibrium," Journal of Econometrics, Elsevier, vol. 85(1), pages 33-50, July.
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    Cited by:

    1. Dong-Hyun Oh & JongWuk Ahn & Sinwoo Lee & Hyundo Choi, 2021. "Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches," Energy & Environment, , vol. 32(3), pages 403-423, May.

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