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The Effect of Restructuring Electricity Distribution Systems on Firms’ Persistent and Transient Efficiency: The Case of Germany

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  • Oleg Badunenko
  • Astrid Cullmann
  • Subal C. Kumbhakar
  • Maria Nieswand

Abstract

We evaluate the efficiency of electricity distribution operators (DSOs) as providers of local public infrastructure. In particular, we consider two types of efficiency, i.e., short-term (transient) and long-term (persistent). We apply the recently developed four-component stochastic frontier model, which allows identifying determinants of the two types of efficiency, after controlling for firm heterogeneity and random noise, to a panel dataset of German DSOs observed during 2006-2012.Those DSOs operating in the eastern parts of Germany have undergone a profound restructuring after the reunification in 1990. We find that this was beneficial for their efficiency as they perform, on average, better in terms of persistent efficiency than DSOs in West Germany. Both eastern and western DSOs perform similarly well in terms of transient efficiency, which is expected as the sector is highly regulated. As such, we provide new insights on identifying the nature and sources of public infrastructure productive inefficiency, which is relevant for public policies.

Suggested Citation

  • Oleg Badunenko & Astrid Cullmann & Subal C. Kumbhakar & Maria Nieswand, 2021. "The Effect of Restructuring Electricity Distribution Systems on Firms’ Persistent and Transient Efficiency: The Case of Germany," The Energy Journal, , vol. 42(4), pages 1-20, July.
  • Handle: RePEc:sae:enejou:v:42:y:2021:i:4:p:1-20
    DOI: 10.5547/01956574.42.4.obad
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    References listed on IDEAS

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    1. 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.
    2. Hans‐Werner Sinn, 2002. "Germany’s Economic Unification: An Assessment after Ten Years," Review of International Economics, Wiley Blackwell, vol. 10(1), pages 113-128, February.
    3. Kumbhakar, Subal C., 1987. "The specification of technical and allocative inefficiency in stochastic production and profit frontiers," Journal of Econometrics, Elsevier, vol. 34(3), pages 335-348, March.
    4. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464, November.
    5. Badunenko, Oleg & Kumbhakar, Subal C., 2017. "Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter?," European Journal of Operational Research, Elsevier, vol. 260(2), pages 789-803.
    6. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    7. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, December.
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