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A Benchmarking Analysis of Electricity Distribution Utilities in Switzerland

  • Mehdi Farsi

    ()

    (Center for Energy Policy and Economics CEPE, Department of Management, Technology and Economics, ETH Zurich, Switzerland)

  • Massimo Filippini

    ()

    (Center for Energy Policy and Economics CEPE, Department of Management, Technology and Economics, ETH Zurich, Switzerland)

This paper studies the sensitivity problems of the benchmarking methods used in the regulation practice. Three commonly used methods have been applied to a sample of 52 electricity distribution utilities to estimate their cost efficiency. These methods include stochastic frontier, corrected ordinary least squares and data envelopment analysis. The results indicate that both efficiency scores and ranks are significantly different across various models. Especially considerable differences exist between parametric and non-parametric methods.

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File URL: http://www.cepe.ethz.ch/publications/workingPapers/CEPE_WP43.pdf
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Paper provided by CEPE Center for Energy Policy and Economics, ETH Zurich in its series CEPE Working paper series with number 05-43.

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Length: 17 pages
Date of creation: Jun 2005
Date of revision:
Handle: RePEc:cee:wpcepe:05-43
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  1. Simar, L., 1991. "Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric methods with boot strapping," CORE Discussion Papers 1991026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Paul W. Bauer & Allen N. Berger & Gary D. Ferrier & David B. Humphrey, 1997. "Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods," Finance and Economics Discussion Series 1997-50, Board of Governors of the Federal Reserve System (U.S.).
  3. Andrew Street, 2003. "How much confidence should we place in efficiency estimates?," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 895-907.
  4. Tim Coelli & Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2003. "A Primer on Efficiency Measurement for Utilities and Transport Regulators," World Bank Publications, The World Bank, number 15149.
  5. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  6. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2004. "Cost Efficiency in Regional Bus Companies: An Application of Alternative Stochastic Frontier Models," CEPE Working paper series 04-33, CEPE Center for Energy Policy and Economics, ETH Zurich.
  7. Antonio Álvarez & Carlos Arias & William Greene, 2004. "Accounting for unobservables in production models:management and inefficiency," Economic Working Papers at Centro de Estudios Andaluces E2004/72, Centro de Estudios Andaluces.
  8. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  9. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
  10. 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.
  11. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  12. Mehdi Farsi & Massimo Filippini, 2003. "Regulation and Measuring Cost Efficiency with Panel Data Models: Application to Electricity Distribution Utilities," CEPE Working paper series 03-19, CEPE Center for Energy Policy and Economics, ETH Zurich.
  13. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, 07.
  14. Uwe Jensen, 2000. "Is it efficient to analyse efficiency rankings?," Empirical Economics, Springer, vol. 25(2), pages 189-208.
  15. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
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