[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/0115.html
   My bibliography  Save this paper

International Benchmarking and Yardstick Regulation: An Application to European Electricity Utilities

Author

Listed:
  • Jamasb, T.
  • Pollitt, M.
Abstract
Due to a shortage of data and increased international mergers, national energy regulators are looking to international benchmarking analyses for help in setting price controls within incentive regulation. We present an international benchmarking study of 63 regional electricity distribution utilities in 6 European countries that aims to illustrate the methodological and data issues encountered in the use of international benchmarking for utility regulation. The study examines the effect of the choice of benchmarking methods using DAE, COLS and SFA models. We discuss what problems of international benchmarking are highlighted by the study and how they can be overcome.

Suggested Citation

  • Jamasb, T. & Pollitt, M., 2001. "International Benchmarking and Yardstick Regulation: An Application to European Electricity Utilities," Cambridge Working Papers in Economics 0115, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:0115
    Note: This version was updated June 2002. IO
    as

    Download full text from publisher

    File URL: http://www.econ.cam.ac.uk/research-files/repec/cam/pdf/wp0115.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul L. Joskow, 2006. "Incentive Regulation for Electricity Networks," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 4(2), pages 3-9, 07.
    2. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    3. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    4. Richmond, J, 1974. "Estimating the Efficiency of Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 515-521, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Growitsch & Tooraj Jamasb & Michael Pollitt, 2009. "Quality of service, efficiency and scale in network industries: an analysis of European electricity distribution," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2555-2570.
    2. Christian von Hirschhausen & Astrid Cullmann & Andreas Kappeler, 2006. "Efficiency analysis of German electricity distribution utilities - non-parametric and parametric tests," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2553-2566.
    3. Cullmann, Astrid & Nieswand, Maria, 2016. "Regulation and investment incentives in electricity distribution: An empirical assessment," Energy Economics, Elsevier, vol. 57(C), pages 192-203.
    4. Hess, Borge & Cullmann, Astrid, 2007. "Efficiency analysis of East and West German electricity distribution companies - Do the "Ossis" really beat the "Wessis"?," Utilities Policy, Elsevier, vol. 15(3), pages 206-214, September.
    5. Neumann, Anne & Nieswand, Maria & Schubert, Torben, 2016. "Estimating Alternative Technology Sets in Nonparametric Efficiency Analysis: Restriction Tests for Panel and Clustered Data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 45(1), pages 35-51.
    6. Astrid Cullmann & Christian Hirschhausen, 2008. "Efficiency analysis of East European electricity distribution in transition: legacy of the past?," Journal of Productivity Analysis, Springer, vol. 29(2), pages 155-167, April.
    7. Stefan Seifert & Astrid Cullmann & Christian von Hirschhausen, 2014. "Technical Efficiency and CO2 Reduction Potentials: An Analysis of the German Electricity Generating Sector," Discussion Papers of DIW Berlin 1426, DIW Berlin, German Institute for Economic Research.
    8. Mota, R.L., 2004. "‘Comparing Brazil and USA electricity performance; what was the impact of privatisation?’," Cambridge Working Papers in Economics 0423, Faculty of Economics, University of Cambridge.
    9. Astrid Cullmann & Hélène Crespo & Marie-Anne Plagnet, 2008. "International Benchmarking in Electricity Distribution: A Comparison of French and German Utilities," Discussion Papers of DIW Berlin 830, DIW Berlin, German Institute for Economic Research.
    10. Cayir Ervural, Beyzanur & Zaim, Selim & Delen, Dursun, 2018. "A two-stage analytical approach to assess sustainable energy efficiency," Energy, Elsevier, vol. 164(C), pages 822-836.
    11. Martín Rossi, 2015. "Using Labor Productivity Change Estimates as an Input for X-Factors in Price-Cap Regulation," Working Papers 118, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    12. D. Giannakis & T. Jamasb & M. Pollitt, 2003. "Benchmarking and Incentive Regulation of Quality of Service: an Application to the UK Electricity Distribution Utilities," Working Papers EP35, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    13. Burns, Phil & Jenkins, Cloda & Riechmann, Christoph, 2005. "The role of benchmarking for yardstick competition," Utilities Policy, Elsevier, vol. 13(4), pages 302-309, December.
    14. Jamasb, T. & Nillesen, P. & Pollitt, M., 2003. "Strategic Behaviour under Regulation Benchmarking," Cambridge Working Papers in Economics 0312, Faculty of Economics, University of Cambridge.
    15. Anne-Kathrin Last & Heike Wetzel, 2009. "Effizienzmessverfahren – eine Einführung," Working Paper Series in Economics 145, University of Lüneburg, Institute of Economics.
    16. Macedo, L., 2004. "Regulation, competition and ownership in electricity distribution companies: the effects on efficiency," Working Papers 04/09, Department of Economics, City University London.
    17. Cullmann, Astrid & Nieswand, Maria, 2015. "Regulation and Investment Incentives in Electricity Distribution," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113090, Verein für Socialpolitik / German Economic Association.
    18. Dal Bo, Ernesto & Rossi, Martin A., 2007. "Corruption and inefficiency: Theory and evidence from electric utilities," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 939-962, June.
    19. Jamasb, T. & Newbery, D. & Pollitt, M., 2004. "'Core Indicators for Determinants and Performance of Electricity Sector in Developing Countries’," Cambridge Working Papers in Economics 0438, Faculty of Economics, University of Cambridge.
    20. Oduro, Richard A. & Taylor, Peter G., 2023. "Future pathways for energy networks: A review of international experiences in high income countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    21. Toru Hattori & Jamasb, T. & Pollitt, M.G., 2002. "Relative Performance of UK and Japanese Electricity Distribution Systems 1985-1998: Lessons for Incentive Regulation," Cambridge Working Papers in Economics 0212, Faculty of Economics, University of Cambridge.
    22. Rossi, Martin, 2021. "Decomposing Productivity Change in the Presence of Environmental Variables," MPRA Paper 110536, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nepal, Rabindra & Jamasb, Tooraj, 2015. "Incentive regulation and utility benchmarking for electricity network security," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 117-127.
    2. Azadeh, A. & Ghaderi, S.F. & Omrani, H. & Eivazy, H., 2009. "An integrated DEA-COLS-SFA algorithm for optimization and policy making of electricity distribution units," Energy Policy, Elsevier, vol. 37(7), pages 2605-2618, July.
    3. Toru Hattori & Jamasb, T. & Pollitt, M.G., 2002. "Relative Performance of UK and Japanese Electricity Distribution Systems 1985-1998: Lessons for Incentive Regulation," Cambridge Working Papers in Economics 0212, Faculty of Economics, University of Cambridge.
    4. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    5. Tooraj Jamasb & Paul Nillesen & Michael Pollitt, 2003. "Strategic behaviour under regulation benchmarking," Working Papers EP19, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    6. Jamasb, Tooraj & Orea, Luis & Pollitt, Michael, 2012. "Estimating the marginal cost of quality improvements: The case of the UK electricity distribution companies," Energy Economics, Elsevier, vol. 34(5), pages 1498-1506.
    7. Paul L. Joskow, 2014. "Incentive Regulation in Theory and Practice: Electricity Distribution and Transmission Networks," NBER Chapters, in: Economic Regulation and Its Reform: What Have We Learned?, pages 291-344, National Bureau of Economic Research, Inc.
    8. Jamasb, Tooraj & Pollitt, Michael, 2008. "Reference models and incentive regulation of electricity distribution networks: An evaluation of Sweden's Network Performance Assessment Model (NPAM)," Energy Policy, Elsevier, vol. 36(5), pages 1788-1801, May.
    9. Haney, Aoife Brophy & Pollitt, Michael G., 2009. "Efficiency analysis of energy networks: An international survey of regulators," Energy Policy, Elsevier, vol. 37(12), pages 5814-5830, December.
    10. Lowry, Mark Newton & Getachew, Lullit, 2009. "Statistical benchmarking in utility regulation: Role, standards and methods," Energy Policy, Elsevier, vol. 37(4), pages 1323-1330, April.
    11. Christian von Hirschhausen & Astrid Cullmann & Andreas Kappeler, 2006. "Efficiency analysis of German electricity distribution utilities - non-parametric and parametric tests," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2553-2566.
    12. 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.
    13. Tovar, Beatriz & Javier Ramos-Real, Francisco & de Almeida, Edmar Fagundes, 2011. "Firm size and productivity. Evidence from the electricity distribution industry in Brazil," Energy Policy, Elsevier, vol. 39(2), pages 826-833, February.
    14. Tooraj Jamasb & Rabindra Nepal & Govinda Timilsina & Michael Toman, 2014. "Energy Sector Reform, Economic Efficiency and Poverty Reduction," Discussion Papers Series 529, School of Economics, University of Queensland, Australia.
    15. Kennedy, J. & Smith, A.S.J., 2003. "Assessing the efficient cost of sustaining Britain’s rail network: perspectives based on Zonal comparisons," Cambridge Working Papers in Economics 0317, Faculty of Economics, University of Cambridge.
    16. Tim Coelli & Axel Gautier & Sergio Perelman & Roxana Saplacan-Pop, 2012. "Estimating the cost of improving quality in electric distribution: a parametruc distance function approach," CREPP Working Papers 1202, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    17. Supawat Rungsuriyawiboon & Tim Coelli, 2004. "Regulatory Reform and Economic Performance in US Electricity Generation," CEPA Working Papers Series WP062004, School of Economics, University of Queensland, Australia.
    18. Mota, R.L., 2004. "‘Comparing Brazil and USA electricity performance; what was the impact of privatisation?’," Cambridge Working Papers in Economics 0423, Faculty of Economics, University of Cambridge.
    19. Haney, Aoife Brophy & Pollitt, Michael G., 2011. "Exploring the determinants of “best practice” benchmarking in electricity network regulation," Energy Policy, Elsevier, vol. 39(12), pages 7739-7746.
    20. Sadjadi, S.J. & Omrani, H., 2008. "Data envelopment analysis with uncertain data: An application for Iranian electricity distribution companies," Energy Policy, Elsevier, vol. 36(11), pages 4247-4254, November.

    More about this item

    Keywords

    benchmarking; incentive regulation; data envelopment analysis; corrected ordinary least squares; stochastic frontier analysis;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cam:camdae:0115. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.