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Capital bias in the Nordic revenue cap regulation: Averch-Johnson critique revisited

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  • Kuosmanen, Timo
  • Nguyen, Tuan

Abstract

Nordic energy market reform and the regulation of local monopolies in electricity transmission and distribution sectors have served as role models for many other countries worldwide. The first contribution of this paper is to clarify the conceptual distinction between the Nordic revenue cap approach and the British revenue cap regulation. Our second contribution is to show that the Nordic revenue cap is similar to the U.S.-style rate of return regulation in that both are subject to capital bias, known as the Averch-Johnson effect. The third contribution of this paper is to examine the magnitude of the capital bias and its welfare effects by means of numerical simulations. We show that the Nordic revenue cap generally decreases the monopoly profit, increases the output, decreases the price, and hence increases consumer surplus compared to the unregulated monopoly. The simulation results prove robust to changes in the parameter values and the functional form of the production function. Our numerical simulations reveal that relatively light handed regulation suffices to yield the main benefits.

Suggested Citation

  • Kuosmanen, Timo & Nguyen, Tuan, 2020. "Capital bias in the Nordic revenue cap regulation: Averch-Johnson critique revisited," Energy Policy, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:enepol:v:139:y:2020:i:c:s0301421520301129
    DOI: 10.1016/j.enpol.2020.111355
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    1. PER AGRELL & Peter Bogetoft & Jørgen Tind, 2005. "DEA and Dynamic Yardstick Competition in Scandinavian Electricity Distribution," Journal of Productivity Analysis, Springer, vol. 23(2), pages 173-201, May.
    2. Paul L. Joskow & Richard Schmalensee, 1988. "Markets for Power: An Analysis of Electrical Utility Deregulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262600188, April.
    3. Paul L. Joskow, 2006. "Markets for Power in the United States: An Interim Assessment," The Energy Journal, , vol. 27(1), pages 1-36, January.
    4. William J. Baumol & Alvin K. Klevorick, 1970. "Input Choices and Rate-of Return Regulation: An Overview of the Discussion," Bell Journal of Economics, The RAND Corporation, vol. 1(2), pages 162-190, Autumn.
    5. Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
    6. Bernstein, Jeffrey I & Sappington, David E M, 1999. "Setting the X Factor in Price-Cap Regulation Plans," Journal of Regulatory Economics, Springer, vol. 16(1), pages 5-25, July.
    7. Saastamoinen, Antti & Bjørndal, Endre & Bjørndal, Mette, 2017. "Specification of merger gains in the Norwegian electricity distribution industry," Energy Policy, Elsevier, vol. 102(C), pages 96-107.
    8. Mark Armstrong & Simon Cowan & John Vickers, 1994. "Regulatory Reform: Economic Analysis and British Experience," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262510790, April.
    9. Kuosmanen, Timo, 2012. "Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model," Energy Economics, Elsevier, vol. 34(6), pages 2189-2199.
    10. Oseni, Musiliu O. & Pollitt, Michael G., 2016. "The promotion of regional integration of electricity markets: Lessons for developing countries," Energy Policy, Elsevier, vol. 88(C), pages 628-638.
    11. Kira R. Fabrizio & Nancy L. Rose & Catherine D. Wolfram, 2007. "Do Markets Reduce Costs? Assessing the Impact of Regulatory Restructuring on US Electric Generation Efficiency," American Economic Review, American Economic Association, vol. 97(4), pages 1250-1277, September.
    12. AGRELL, Per J. & BOGETOFT, Peter, 2010. "Harmonizing the Nordic regulation of electricity distribution," LIDAM Reprints CORE 2376, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Colin Mayer & John Vickers, 1996. "Profit-sharing regulation: an economic appraisal," Fiscal Studies, Institute for Fiscal Studies, vol. 17(1), pages 1-18, February.
    14. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    15. Pekka Korhonen & Mikko Syrjänen, 2003. "Evaluation of Cost Efficiency in Finnish Electricity Distribution," Annals of Operations Research, Springer, vol. 121(1), pages 105-122, July.
    16. Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
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    2. Staudt, Philipp & Oren, Shmuel S., 2021. "Merchant transmission in single-price electricity markets with cost-based redispatch," Energy Economics, Elsevier, vol. 104(C).
    3. Collan, Mikael & Savolainen, Jyrki & Lilja, Emma, 2022. "Analyzing the returns and rate of return regulation of Finnish electricity distribution system operators 2015–2019," Energy Policy, Elsevier, vol. 160(C).
    4. Zhiqiang Liao, 2024. "Variable selection in convex nonparametric least squares via structured Lasso: An application to the Swedish electricity distribution networks," Papers 2409.01911, arXiv.org, revised Nov 2024.
    5. Ryan P. Scott & Tyler A. Scott & Robert A. Greer, 2022. "Who owns the pipes? Utility ownership, infrastructure conditions, and methane emissions in United States natural gas distribution," Review of Policy Research, Policy Studies Organization, vol. 39(2), pages 170-198, March.

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    More about this item

    Keywords

    Electricity transmission and distribution; Incentive regulation; Monopoly; Price-cap; Revenue-cap;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • L43 - Industrial Organization - - Antitrust Issues and Policies - - - Legal Monopolies and Regulation or Deregulation

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