IDEAS home Printed from https://ideas.repec.org/p/ris/ewikln/2020_009.html
   My bibliography  Save this paper

Distributed Generation and Cost Efficiency of German Electricity Distribution Network Operators

Author

Listed:
  • Just, Lisa

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

  • Wetzel, Heike

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

Abstract

In this paper, we use a comprehensive and unique data set of financial, technical and structural characteristics of German distribution network operators from 2011 to 2017 to estimate both the transient and persistent cost efficiency of German distribution network operators. In addition, we analyze the effect of an increasing capacity of distributed generation from renewable energy sources on the total costs of distribution network operators. Our results indicate an average cost reduction potential of approximately 12 percent in the short term and approximately 18 percent in the long term for German electricity distribution network operators. Furthermore, we find that distributed generation from renewable energy sources is a significant cost driver in the production process of network operators. Our study thus contributes to the ongoing debate on incentive regulation and efficiency benchmarking in electricity distribution industries and provides valuable insights for policymakers and regulators.

Suggested Citation

  • Just, Lisa & Wetzel, Heike, 2020. "Distributed Generation and Cost Efficiency of German Electricity Distribution Network Operators," EWI Working Papers 2020-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  • Handle: RePEc:ris:ewikln:2020_009
    as

    Download full text from publisher

    File URL: https://www.ewi.uni-koeln.de/cms/wp-content/uploads/2020/12/EWI_WP_20-09_Distributed_Generation_and_Cost_Efficiency_of_German_Electricity_DNOs_Just_Wetzel.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    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. Massimo Filippini & William Greene, 2016. "Persistent and transient productive inefficiency: a maximum simulated likelihood approach," Journal of Productivity Analysis, Springer, vol. 45(2), pages 187-196, April.
    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. Fetz, Aurelio & Filippini, Massimo, 2010. "Economies of vertical integration in the Swiss electricity sector," Energy Economics, Elsevier, vol. 32(6), pages 1325-1330, November.
    6. 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.
    7. Thomas P. Triebs & David S. Saal & Pablo Arocena & Subal C. Kumbhakar, 2016. "Estimating economies of scale and scope with flexible technology," Journal of Productivity Analysis, Springer, vol. 45(2), pages 173-186, April.
    8. Filippini, M. & Greene, W. & Masiero, G., 2018. "Persistent and transient productive inefficiency in a regulated industry: electricity distribution," Energy Economics, Elsevier, vol. 69(C), pages 325-334.
    9. Astrid Cullmann, 2012. "Benchmarking and firm heterogeneity: a latent class analysis for German electricity distribution companies," Empirical Economics, Springer, vol. 42(1), pages 147-169, February.
    10. Mehdi Farsi & Massimo Filippini & William Greene, 2006. "Application Of Panel Data Models In Benchmarking Analysis Of The Electricity Distribution Sector," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 77(3), pages 271-290, September.
    11. Subal C. Kumbhakar & Gudbrand Lien, 2017. "Yardstick Regulation of Electricity Distribution Disentangling Short-run and Long-run Inefficiencies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    12. 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.
    13. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    14. Oleg Badunenko, Astrid Cullmann, Subal C. Kumbhakar, and Maria Nieswand, 2021. "The Effect of Restructuring Electricity Distribution Systems on Firms' Persistent and Transient Efficiency: The Case of Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    15. 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.
    16. Leland Gerson Neuberg, 1977. "Two Issues in the Municipal Ownership of Electric Power Distribution," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 303-323, Spring.
    17. Efthymios G. Tsionas & Subal C. Kumbhakar, 2014. "FIRM HETEROGENEITY, PERSISTENT AND TRANSIENT TECHNICAL INEFFICIENCY: A GENERALIZED TRUE RANDOM‐EFFECTS model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 110-132, January.
    18. Subal C. Kumbhakar, Orjan Mydland, Andrew Musau, and Gudbrand Lien, 2020. "Disentangling Costs of Persistent and Transient Technical Inefficiency and Input Misallocation: The Case of Norwegian Electricity Distribution Firms," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 143-160.
    19. 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.
    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. Just, Lisa, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Arnold, Fabian & Jeddi, Samir & Sitzmann, Amelie, 2022. "How prices guide investment decisions under net purchasing — An empirical analysis on the impact of network tariffs on residential PV," Energy Economics, Elsevier, vol. 112(C).

    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. Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Energy Economics, Elsevier, vol. 83(C), pages 333-344.
    2. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    4. Bravo-Ureta, Boris E. & Njuki, Eric & Palacios, Ana Claudia & Salazar, Lina, 2022. "Agricultural Productivity in El Salvador: A Preliminary Analysis," IDB Publications (Working Papers) 11984, Inter-American Development Bank.
    5. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    6. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    7. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    8. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    9. Boris E. Bravo‐Ureta & Víctor H. Moreira & Javier L. Troncoso & Alan Wall, 2020. "Plot‐level technical efficiency accounting for farm‐level effects: Evidence from Chilean wine grape producers," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 811-824, November.
    10. Just, Lisa, 2021. "Unobserved technological heterogeneity among German electricity distribution network operators - a latent class analysis," EWI Working Papers 2021-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    11. Lachaud, Michee Arnold & Bravo-Ureta, Boris E. & Ludena, Carlos E., 2015. "Agricultural productivity growth in Latin America and the Caribbean and other world regions: An analysis of climatic effects, convergence and catch-up," Working Papers 40, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    12. Dorgyles C.M. Kouakou, 2022. "Separating innovation short-run and long-run technical efficiencies: Evidence from the Economic Community of West African States (ECOWAS)," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(1), pages 103-141, June.
    13. Subal C. Kumbhakar & Gudbrand Lien, 2017. "Yardstick Regulation of Electricity Distribution Disentangling Short-run and Long-run Inefficiencies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    14. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).
    15. 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.
    16. Filippini, M. & Greene, W. & Masiero, G., 2018. "Persistent and transient productive inefficiency in a regulated industry: electricity distribution," Energy Economics, Elsevier, vol. 69(C), pages 325-334.
    17. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    18. Baños-Pino, José F. & Boto-García, David & Zapico, Emma, 2021. "Persistence and dynamics in the efficiency of toll motorways: The Spanish case," Efficiency Series Papers 2021/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Massimo Filippini & Lester C. Hunt, 2013. "'Underlying Energy Efficiency' in the US," CER-ETH Economics working paper series 13/181, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    20. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.

    More about this item

    Keywords

    Electricity distribution; regulation; transient cost efficiency; persistent cost efficiency; distributed generation; stochastic frontier analysis;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • 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:ris:ewikln:2020_009. 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: Sabine Williams (email available below). General contact details of provider: https://edirc.repec.org/data/ewikode.html .

    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.