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Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models

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  • Assaf, A. George
  • Barros, Carlos Pestana
  • Managi, Shunsuke

Abstract

This study analyses and compares the cost efficiency of Japanese steam power generation companies using the fixed and random Bayesian frontier models. We show that it is essential to account for heterogeneity in modelling the performance of energy companies. Results from the model estimation also indicate that restricting CO2 emissions can lead to a decrease in total cost. The study finally discusses the efficiency variations between the energy companies under analysis, and elaborates on the managerial and policy implications of the results.

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  • 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.
  • Handle: RePEc:eee:appene:v:88:y:2011:i:4:p:1441-1446
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    1. Nassiri, Seyed Mehdi & Singh, Surendra, 2009. "Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique," Applied Energy, Elsevier, vol. 86(7-8), pages 1320-1325, July.
    2. Jamasb, Tooraj & Nillesen, Paul & Pollitt, Michael, 2004. "Strategic behaviour under regulatory benchmarking," Energy Economics, Elsevier, vol. 26(5), pages 825-843, September.
    3. 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.
    4. Antonio Estache & MartÌn A. Rossi & Christian A. Ruzzier, 2004. "The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America," Journal of Regulatory Economics, Springer, vol. 25(3), pages 271-295, May.
    5. Sueyoshi, Toshiyuki & Goto, Mika, 2001. "Slack-adjusted DEA for time series analysis: Performance measurement of Japanese electric power generation industry in 1984-1993," European Journal of Operational Research, Elsevier, vol. 133(2), pages 232-259, January.
    6. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    7. Siitonen, Sari & Tuomaala, Mari & Suominen, Markku & Ahtila, Pekka, 2010. "Implications of process energy efficiency improvements for primary energy consumption and CO2 emissions at the national level," Applied Energy, Elsevier, vol. 87(9), pages 2928-2937, September.
    8. Abbott, Malcolm, 2006. "The productivity and efficiency of the Australian electricity supply industry," Energy Economics, Elsevier, vol. 28(4), pages 444-454, July.
    9. 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.
    10. Sueyoshi, Toshiyuki, 1999. "Tariff structure of Japanese electric power companies: An empirical analysis using DEA," European Journal of Operational Research, Elsevier, vol. 118(2), pages 350-374, October.
    11. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
    12. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    13. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    14. Goto, Mika & Tsutsui, Miki, 2008. "Technical efficiency and impacts of deregulation: An analysis of three functions in U.S. electric power utilities during the period from 1992 through 2000," Energy Economics, Elsevier, vol. 30(1), pages 15-38, January.
    15. Bosetti, Valentina & Buchner, Barbara, 2009. "Data Envelopment Analysis of different climate policy scenarios," Ecological Economics, Elsevier, vol. 68(5), pages 1340-1354, March.
    16. Farsi, Mehdi & Filippini, Massimo & Kuenzle, Michael, 2007. "Cost efficiency in the Swiss gas distribution sector," Energy Economics, Elsevier, vol. 29(1), pages 64-78, January.
    17. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    18. Ramos-Real, Francisco Javier & Tovar, Beatriz & Iootty, Mariana & de Almeida, Edmar Fagundes & Pinto Jr., Helder Queiroz, 2009. "The evolution and main determinants of productivity in Brazilian electricity distribution 1998-2005: An empirical analysis," Energy Economics, Elsevier, vol. 31(2), pages 298-305, March.
    19. Arocena, Pablo & Waddams Price, Catherine, 2002. "Generating efficiency: economic and environmental regulation of public and private electricity generators in Spain," International Journal of Industrial Organization, Elsevier, vol. 20(1), pages 41-69, January.
    20. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    21. Mehdi Farsi & Massimo Filippini, 2004. "Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(1), pages 1-19, August.
    22. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    23. Vaninsky, Alexander, 2006. "Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis," Energy Economics, Elsevier, vol. 28(3), pages 326-338, May.
    24. Sari, Ramazan & Soytas, Ugur, 2009. "Are global warming and economic growth compatible? Evidence from five OPEC countries?," Applied Energy, Elsevier, vol. 86(10), pages 1887-1893, October.
    25. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    26. Ibrahimo, M.V. & Barros, C.P., 2009. "Relevance or irrelevance of capital structure?," Economic Modelling, Elsevier, vol. 26(2), pages 473-479, March.
    27. Pollitt, Michael G, 1996. "Ownership and Efficiency in Nuclear Power Production," Oxford Economic Papers, Oxford University Press, vol. 48(2), pages 342-360, April.
    28. Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
    29. L. Dean Hiebert, 2002. "The Determinants of the Cost Efficiency of Electric Generating Plants: A Stochastic Frontier Approach," Southern Economic Journal, John Wiley & Sons, vol. 68(4), pages 935-946, April.
    30. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    31. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    32. Jiro Nemoto & Mika Goto, 2006. "Measurement of technical and allocative efficiencies using a CES cost frontier: a benchmarking study of Japanese transmission-distribution electricity," Empirical Economics, Springer, vol. 31(1), pages 31-48, March.
    33. Raczka, Jan, 2001. "Explaining the performance of heat plants in Poland," Energy Economics, Elsevier, vol. 23(4), pages 355-370, July.
    34. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, November.
    35. Arcos, Angel & de Toledo, Pablo Alvarez, 2009. "An analysis of the Spanish electrical utility industry: Economies of scale, technological progress and efficiency," Energy Economics, Elsevier, vol. 31(3), pages 473-481, May.
    36. Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
    37. Jamasb, Tooraj & Pollitt, Michael, 2003. "International benchmarking and regulation: an application to European electricity distribution utilities," Energy Policy, Elsevier, vol. 31(15), pages 1609-1622, December.
    38. Christopher R. Knittel, 2002. "Alternative Regulatory Methods And Firm Efficiency: Stochastic Frontier Evidence From The U.S. Electricity Industry," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 530-540, August.
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