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Performance Effects of Network Structure and Ownership: The Norwegian Electricity Distribution Sector

Author

Listed:
  • Wenche Tobiasson

    (RISE Research Institutes of Sweden, Sven Hultins Plats 5, 412 58 Göteborg, Sweden)

  • Manuel Llorca

    (Copenhagen School of Energy Infrastructure (CSEI), Department of Economics, Copenhagen Business School, Porcelænshaven 16A, 2000 Frederiksberg, Denmark)

  • Tooraj Jamasb

    (Copenhagen School of Energy Infrastructure (CSEI), Department of Economics, Copenhagen Business School, Porcelænshaven 16A, 2000 Frederiksberg, Denmark)

Abstract

Transmission and distribution networks are capital intensive segments of the electricity sector and are generally considered natural monopolies. Due to their non-competitive nature, these are subject to independent regulation to prevent the abuse of monopolistic power and to induce competitive behaviour. Effective economic regulation of the electricity networks has become a key target in most developed economies after the 1980s. In Norway, incentive regulation and efficiency benchmarking were introduced in 1997. In Norway, the electricity grid is divided into three levels, namely, central, regional and distribution networks. In this paper, we study two overlooked aspects when analysing the performance of electricity networks: vertical integration and ownership structure. We use a stochastic frontier analysis approach to analyse the performance of Norwegian electricity distribution utilities for the period 2007–2014. We observe that vertical integration between distribution and regional transmission implies higher cost inefficiencies. This indicates that the efficiency gains due to separate management of the networks exceed the economies of coordination from vertical economies of scope. In addition, we find that council ownership entails higher efficiencies. This could be explained by the state having an interest in high-voltage electricity networks, rather than low-voltage ones, and the decentralised model from which the now centralised system was once developed.

Suggested Citation

  • Wenche Tobiasson & Manuel Llorca & Tooraj Jamasb, 2021. "Performance Effects of Network Structure and Ownership: The Norwegian Electricity Distribution Sector," Energies, MDPI, vol. 14(21), pages 1-15, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7160-:d:669941
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    References listed on IDEAS

    as
    1. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    2. Tim Coelli & Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2003. "A Primer on Efficiency Measurement for Utilities and Transport Regulators," World Bank Publications - Books, The World Bank Group, number 15149, December.
    3. Joskow Paul L., 2008. "Incentive Regulation and Its Application to Electricity Networks," Review of Network Economics, De Gruyter, vol. 7(4), pages 1-14, December.
    4. Rahmatallah Poudineh and Tooraj Jamasb, 2015. "A New Perspective: Investment and Efficiency under Incentive Regulation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Joskow, Paul L., 2007. "Regulation of Natural Monopoly," Handbook of Law and Economics, in: A. Mitchell Polinsky & Steven Shavell (ed.), Handbook of Law and Economics, edition 1, volume 2, chapter 16, pages 1227-1348, Elsevier.
    6. 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.
    7. Filippini, Massimo & Wetzel, Heike, 2014. "The impact of ownership unbundling on cost efficiency: Empirical evidence from the New Zealand electricity distribution sector," Energy Economics, Elsevier, vol. 45(C), pages 412-418.
    8. 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 435-444, June.
    9. Gugler, Klaus & Liebensteiner, Mario & Schmitt, Stephan, 2017. "Vertical disintegration in the European electricity sector: Empirical evidence on lost synergies," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 450-478.
    10. 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.
    11. Pollitt, Michael, 2008. "The arguments for and against ownership unbundling of energy transmission networks," Energy Policy, Elsevier, vol. 36(2), pages 704-713, February.
    12. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    13. See, Kok Fong & Coelli, Tim, 2012. "An analysis of factors that influence the technical efficiency of Malaysian thermal power plants," Energy Economics, Elsevier, vol. 34(3), pages 677-685.
    14. Williamson, Oliver E, 1971. "The Vertical Integration of Production: Market Failure Considerations," American Economic Review, American Economic Association, vol. 61(2), pages 112-123, May.
    15. Livingstone Senyonga and Olvar Bergland, 2018. "Impact of High-Powered Incentive Regulations on Efficiency and Productivity Growth of Norwegian Electricity Utilities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    16. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    17. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    18. Dierk Bauknecht & Allan Dahl Andersen & Karoline Dunne, 2020. "Challenges for electricity network governance in Energy transitions: Insights from Norway," Working Papers on Innovation Studies 20200115, Centre for Technology, Innovation and Culture, University of Oslo.
    19. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    20. Subal Kumbhakar & Roar Amundsveen & Hilde Kvile & Gudbrand Lien, 2015. "Scale economies, technical change and efficiency in Norwegian electricity distribution, 1998–2010," Journal of Productivity Analysis, Springer, vol. 43(3), pages 295-305, June.
    21. Adler, Nicole & Liebert, Vanessa, 2014. "Joint impact of competition, ownership form and economic regulation on airport performance and pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 92-109.
    22. Kumbhakar, Subal C. & Hjalmarsson, Lennart, 1998. "Relative performance of public and private ownership under yardstick competition: electricity retail distribution," European Economic Review, Elsevier, vol. 42(1), pages 97-122, January.
    23. Mydland, Ørjan & Kumbhakar, Subal C. & Lien, Gudbrand & Amundsveen, Roar & Kvile, Hilde Marit, 2020. "Economies of scope and scale in the Norwegian electricity industry," Economic Modelling, Elsevier, vol. 88(C), pages 39-46.
    24. Growitsch, Christian & Jamasb, Tooraj & Wetzel, Heike, 2012. "Efficiency effects of observed and unobserved heterogeneity: Evidence from Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 34(2), pages 542-548.
    25. Luis Orea, Inmaculada C. Álvarez, and Tooraj Jamasb, 2018. "A Spatial Stochastic Frontier Model with Omitted Variables: Electricity Distribution in Norway," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    26. Atkinson, Scott E. & Halvorsen, Robert, 1986. "The relative efficiency of public and private firms in a regulated environment: The case of U.S. electric utilities," Journal of Public Economics, Elsevier, vol. 29(3), pages 281-294, April.
    27. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    28. Førsund, Finn R. & Kittelsen, Sverre A. C., 1998. "Productivity development of Norwegian electricity distribution utilities," Resource and Energy Economics, Elsevier, vol. 20(3), pages 207-224, September.
    29. 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.
    30. Jamasb, Tooraj & Nillesen, Paul & Pollitt, Michael, 2003. "Gaming the Regulator: A Survey," The Electricity Journal, Elsevier, vol. 16(10), pages 68-80, December.
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