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Measuring economies of scope for cogeneration systems in Korea: a nonparametric approach

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  • Kwon, Oh Sang
  • Yun, Won-Cheol

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  • Kwon, Oh Sang & Yun, Won-Cheol, 2003. "Measuring economies of scope for cogeneration systems in Korea: a nonparametric approach," Energy Economics, Elsevier, vol. 25(4), pages 331-338, July.
  • Handle: RePEc:eee:eneeco:v:25:y:2003:i:4:p:331-338
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    References listed on IDEAS

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    1. Tai-Hsin Huang & Mei-Hui Wang, 2001. "Measuring scale and scope economies in multiproduct banking? A stochastic frontier cost function approach," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 159-162.
    2. Evans, David S & Heckman, James J, 1984. "A Test for Subadditivity of the Cost Function with an Application to the Bell System," American Economic Review, American Economic Association, vol. 74(4), pages 615-623, September.
    3. C. Richard Shumway & Rulon D. Pope & Elizabeth K. Nash, 1984. "Allocatable Fixed Inputs and Jointness in Agricultural Production: Implications for Economic Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 72-78.
    4. Lau, Lawrence J, 1972. "Profit Functions of Technologies with Multiple Inputs and Outputs," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 281-289, August.
    5. Harry Bloch & Gary Madden & Scott Savage, 2001. "Economies of Scale and Scope in Australian Telecommunications," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 18(2), pages 219-227, March.
    6. Panzar, John C & Willig, Robert D, 1981. "Economies of Scope," American Economic Review, American Economic Association, vol. 71(2), pages 268-272, May.
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    Cited by:

    1. Reinhard Madlener & Marcel Wickart, 2003. "The Economics of Adoption of Industrial Cogeneration: A Deterministic Model in Continuous Time," CEPE Working paper series 03-27, CEPE Center for Energy Policy and Economics, ETH Zurich.
    2. Wickart, Marcel & Madlener, Reinhard, 2007. "Optimal technology choice and investment timing: A stochastic model of industrial cogeneration vs. heat-only production," Energy Economics, Elsevier, vol. 29(4), pages 934-952, July.
    3. Chung, Mo & Park, Chuhwan & Lee, Sukgyu & Park, Hwa-Choon & Im, Yong-Hoon & Chang, Youngho, 2012. "A decision support assessment of cogeneration plant for a community energy system in Korea," Energy Policy, Elsevier, vol. 47(C), pages 365-383.
    4. Westner, Günther & Madlener, Reinhard, 2011. "Development of cogeneration in Germany: A mean-variance portfolio analysis of individual technology’s prospects in view of the new regulatory framework," Energy, Elsevier, vol. 36(8), pages 5301-5313.
    5. Kwon, Oh Sang & Yun, Won-Cheol & Hwan An, Dong, 2005. "Market value for thermal energy of cogeneration:: using shadow price estimation applied to cogeneration systems in Korea," Energy Policy, Elsevier, vol. 33(14), pages 1789-1795, September.
    6. Andreas, Eder & Bernhard, Mahlberg & Bernhard, Stürmer, 2017. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," MPRA Paper 79826, University Library of Munich, Germany.
    7. Pablo Arocena, 2005. "The measurement of scope, scale and diversification economies: How (in)efficient is electricity restructuring and unbundling?," Working Papers 2005/1, Institut d'Economia de Barcelona (IEB).
    8. Arocena, Pablo, 2008. "Cost and quality gains from diversification and vertical integration in the electricity industry: A DEA approach," Energy Economics, Elsevier, vol. 30(1), pages 39-58, January.
    9. Eder, Andreas, 2017. "Cost efficiency and economies of diversification of biogas-fuelled cogeneration plants in Austria: a nonparametric approach," MPRA Paper 80369, University Library of Munich, Germany.

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