IDEAS home Printed from https://ideas.repec.org/p/enp/wpaper/eprg1402.html
   My bibliography  Save this paper

Dynamic Efficiency and Incentive Regulation: An Application to Electricity Distribution Networks

Author

Listed:
  • Rahmatallah Poudineh

    (Durham University Business School)

  • Grigorios Emvalomatis

    (Durham University Business School)

  • Tooraj Jamasb

    (Department of Economic Studies, University of Dundee)

Abstract

Efficiency and productivity analysis is a central concept in incentive-based regulation of network utilities. However, the efficiency measures obtained from benchmarking predominantly reflect short term performance and hence, provide only a snapshot of the firm's path towards its long run equilibrium. On the other hand, the factors affecting the short run behaviour of firms may not be adjusted instantaneously when firms undertake investment. In these instances, short run inefficiency caused by investments will be transmitted to subsequent periods. This effect, which arises from costs associated with the adjustment of capital stock or production capacity, is problematic under incentive regulation with ex-post regulatory treatment of capital expenditure. This is because it adversely affects the firms' short term efficiency and, consequently, regulated revenue. This paper analyses the dynamic behaviour of inefficiency for a balanced panel of 128 Norwegian electricity distribution companies from 2004 to 2010. We show that, in a given period, inefficiency is a combination of period-specific effects (shocks) plus a carry-over component from previous periods due to adjustment costs. Also, we estimate these two components of inefficiency along with the rate of inefficiency transmission between periods.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rahmatallah Poudineh & Grigorios Emvalomatis & Tooraj Jamasb, 2014. "Dynamic Efficiency and Incentive Regulation: An Application to Electricity Distribution Networks," Working Papers EPRG 1402, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg1402
    as

    Download full text from publisher

    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1402.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Teresa Serra & Alfons Oude Lansink & Spiro E. Stefanou, 2010. "Measurement of Dynamic Efficiency: A Directional Distance Function Parametric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 752-763.
    2. Kaoru Tone, 2011. "Slacks-Based Measure of Efficiency," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 195-209, Springer.
    3. Stefanou, Spiro E. & Silva, Elvira, 2007. "AJAE Appendix: Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(2), pages 1-19, May.
    4. Poudineh, Rahmatallah & Jamasb, Tooraj, 2016. "Determinants of investment under incentive regulation: The case of the Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 53(C), pages 193-202.
    5. Grigorios Emvalomatis, 2012. "Adjustment and unobserved heterogeneity in dynamic stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 37(1), pages 7-16, February.
    6. Rahmatallah Poudineh & Tooraj Jamasb, 2013. "Investment and Efficiency under Incentive Regulation: The Case of the Norwegian Electricity Distribution Networks," Cambridge Working Papers in Economics 1310, Faculty of Economics, University of Cambridge.
    7. Chen, Chien-Ming, 2009. "A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks," European Journal of Operational Research, Elsevier, vol. 194(3), pages 687-699, May.
    8. Vogelsang, Ingo, 2002. "Incentive Regulation and Competition in Public Utility Markets: A 20-Year Perspective," Journal of Regulatory Economics, Springer, vol. 22(1), pages 5-27, July.
    9. 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.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. Elvira Silva & Spiro Stefanou, 2003. "Nonparametric Dynamic Production Analysis and the Theory of Cost," Journal of Productivity Analysis, Springer, vol. 19(1), pages 5-32, January.
    12. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    13. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    14. 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.
    15. Elvira Silva & Spiro E. Stefanou, 2007. "Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 398-419.
    16. Öztekin, Özde & Flannery, Mark J., 2012. "Institutional determinants of capital structure adjustment speeds," Journal of Financial Economics, Elsevier, vol. 103(1), pages 88-112.
    17. Seung Ahn & Robin Sickles, 2000. "Estimation of long-run inefficiency levels: a dynamic frontier approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 461-492.
    18. Crew, Michael A & Kleindorfer, Paul R, 1996. "Incentive Regulation in the United Kingdom and the United States: Some Lessons," Journal of Regulatory Economics, Springer, vol. 9(3), pages 211-225, May.
    19. Sengupta, Jati K., 1999. "A dynamic efficiency model using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 62(3), pages 209-218, September.
    20. repec:cam:camdae:1324 is not listed on IDEAS
    21. David Besanko & Daniel F. Spulber, 1992. "Sequential-Equilibrium Investment by Regulated Firms," RAND Journal of Economics, The RAND Corporation, vol. 23(2), pages 153-170, Summer.
    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. Remy Tehero & Emmanuel Brou Aka & Murat Cokgezen, 2020. "Drivers of the Quality of Electricity Supply," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 183-195.
    2. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Cambridge Working Papers in Economics 1423, Faculty of Economics, University of Cambridge.

    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. Sebastian Nick & Heike Wetzel, 2016. "The hidden cost of investment: the impact of adjustment costs on firm performance measurement and regulation," Journal of Regulatory Economics, Springer, vol. 49(1), pages 33-55, February.
    2. Ang, Frederic & Oude Lansink, Alfons, 2014. "Dynamic Profit Inefficiency: A DEA Application to Belgian Dairy Farms," Working Papers 165693, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    3. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.
    4. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2014. "Assessing dynamic inefficiency of the Spanish construction sector pre- and post-financial crisis," European Journal of Operational Research, Elsevier, vol. 237(1), pages 349-357.
    5. Poudineh, Rahmatallah & Jamasb, Tooraj, 2016. "Determinants of investment under incentive regulation: The case of the Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 53(C), pages 193-202.
    6. repec:cam:camdae:1324 is not listed on IDEAS
    7. Encarna Guillamon-Saorin & Magdalena Kapelko & Spiro E. Stefanou, 2018. "Corporate Social Responsibility and Operational Inefficiency: A Dynamic Approach," Sustainability, MDPI, vol. 10(7), pages 1-26, July.
    8. Hampf, Benjamin, 2017. "Rational inefficiency, adjustment costs and sequential technologies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1095-1108.
    9. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    10. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2020. "Endogenous dynamic efficiency in the intertemporal optimization models of firm behavior," European Journal of Operational Research, Elsevier, vol. 284(1), pages 313-324.
    11. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    12. S. Ghobadi & G. R. Jahanshahloo & F. Hosseinzadeh Lotfi & M. Rostamy-Malkhalifeh, 2018. "Efficiency Measure Under Inter-Temporal Dependence," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 657-675, March.
    13. Rahmatallah Poudineh & Tooraj Jamasb, 2016. "A New Perspective: Investment and Efficiency under Incentive Regulation," The Energy Journal, , vol. 37(1), pages 158-182, January.
    14. Rahmatallah Poudineh & Tooraj Jamasb, 2013. "Investment and Efficiency under Incentive Regulation: The Case of the Norwegian Electricity Distribution Networks," Working Papers EPRG 1306, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    15. Kao, Chiang, 2013. "Dynamic data envelopment analysis: A relational analysis," European Journal of Operational Research, Elsevier, vol. 227(2), pages 325-330.
    16. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    17. Anna Pechan, 2014. "Which Incentives Does Regulation Give to Adapt Network Infrastructure to Climate Change? - A German Case Study," Working Papers V-365-14, University of Oldenburg, Department of Economics, revised May 2014.
    18. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    19. 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.
    20. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
    21. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.

    More about this item

    Keywords

    Dynamic efficiency; innovation; investment incentives; benchmarking; electricity;
    All these keywords.

    JEL classification:

    • L43 - Industrial Organization - - Antitrust Issues and Policies - - - Legal Monopolies and Regulation or Deregulation
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:enp:wpaper:eprg1402. 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: Ruth Newman (email available below). General contact details of provider: https://edirc.repec.org/data/jicamuk.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.