IDEAS home Printed from https://ideas.repec.org/p/lug/wpidep/1603.html
   My bibliography  Save this paper

Persistent and transient productive inefficiency in a regulated industry: electricity distribution in New Zealand

Author

Listed:
  • Massimo Filippini

    (Institute of Economics (IdEP), University of Lugano; Department of Management, Technology and Economics, ETH Zurich, Switzerland)

  • William Greene

    (Department of Economics, Stern School of Business, New York University, USA)

  • Giuliano Masiero

    (Department of Management, Information and Production Engineering (DIGIP), University of Bergamo, Italy; Institute of Economics (IdEP), University of Lugano, Switzerland)

Abstract

The productive efficiency of a firm can be decomposed into two parts, one persistent and one transient. So far, most of the cost efficiency studies estimated frontier models that provide either the transient or the persistent part of productive efficiency. This distinction seems to be appealing also for regulators. During the last decades, public utilities such as water and electricity have witnessed a wave of regulatory reforms aimed at improving efficiency through incentive regulation. Most of these regulation schemes use benchmarking, namely measuring companies' efficiency and rewarding them accordingly. The purpose of this study is to assess the level of persistent and transient efficiency in an electricity sector and to investigate their implications under price cap regulation. Using a theoretical model, we show that an imperfectly informed regulator may not disentangle the two parts of the cost efficiency; therefore, they may fail in setting optimal efficiency targets. The introduction of minimum quality standards may not offer a valid solution. To provide evidence we use data on 28 New Zealand electricity distribution companies between 1996 and 2011. We estimate a total cost function using three stochastic frontier models for panel data. We start with the random effects model (RE) proposed by Pitt and Lee (1981) that provides information on the persistent part of the cost effciency. Then, we apply the true random effects model (TRE) proposed by Greene (2005a, 2005b) that provides information on the transient part. Finally, we use the generalized true random effects model (GTRE) that allows for the simultaneous estimation of both transient and persistent efficiency. We find weak evidence that persistent efficiency is associated to higher quality, and wrong efficiency targets are associated to lower quality compliance.

Suggested Citation

  • Massimo Filippini & William Greene & Giuliano Masiero, 2016. "Persistent and transient productive inefficiency in a regulated industry: electricity distribution in New Zealand," IdEP Economic Papers 1603, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpidep:1603
    as

    Download full text from publisher

    File URL: http://doc.rero.ch/record/258615/files/wp1603.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ramos-Real, Francisco Javier, 2005. "Cost functions and the electric utility industry. A contribution to the debate on deregulation," Energy Policy, Elsevier, vol. 33(1), pages 69-87, January.
    2. 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.
    3. Paul Nillesen & Michael Pollitt, 2011. "Ownership Unbundling in Electricity Distribution: Empirical Evidence from New Zealand," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 38(1), pages 61-93, January.
    4. Simon G. B. Cowan, 1997. "Tight Average Revenue Regulation Can Be Worse Than No Regulation," Journal of Industrial Economics, Wiley Blackwell, vol. 45(1), pages 75-88, March.
    5. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    6. 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.
    7. Di Giorgio, L. & Filippini, M. & Masiero, G., 2015. "Structural and managerial cost differences in nonprofit nursing homes," Economic Modelling, Elsevier, vol. 51(C), pages 289-298.
    8. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    9. 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.
    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. Antonio Carvalho, 2016. "Energy Efficiency in Transition Economies: A Stochastic Frontier Approach," CEERP Working Paper Series 004, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    2. António Carvalho, 2018. "Energy efficiency in transition economies : A stochastic frontier approach," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 553-578, July.

    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. 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.
    2. Daniel Albalate & Jordi Rosell, 2016. "Persistent and transient efficiency on the stochastic production and cost frontiers – an application to the motorway sector," Working Papers XREAP2016-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2016.
    3. Albalate, Daniel & Rosell, Jordi, 2019. "On the efficiency of toll motorway companies in Spain," Research in Transportation Economics, Elsevier, vol. 76(C).
    4. Soroush, Golnoush & Cambini, Carlo & Jamasb, Tooraj & Llorca, Manuel, 2021. "Network utilities performance and institutional quality: Evidence from the Italian electricity sector," Energy Economics, Elsevier, vol. 96(C).
    5. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    6. Castiglione, Concetta & Infante, Davide & Zieba, Marta, 2023. "Public support for performing arts. Efficiency and productivity gains in eleven European countries," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    7. Sabine Gralka, 2018. "Persistent inefficiency in the higher education sector: evidence from Germany," Education Economics, Taylor & Francis Journals, vol. 26(4), pages 373-392, July.
    8. 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.
    9. 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.
    10. Marvin A. Titus & Adriana Vamosiu & Shannon Hayes Buenaflor & Casey Maliszewski Lukszo, 2021. "Persistent Cost Efficiency at Public Community Colleges in the US: A Stochastic Frontier Analysis," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1168-1197, December.
    11. 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).
    12. 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.
    13. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    14. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    15. Bao Hoang Nguyen & Zhichao Wang & Valentin Zelenyuk, 2023. "Efficiency of Queensland Public Hospitals via Spatial Panel Stochastic Frontier Models," CEPA Working Papers Series WP102023, School of Economics, University of Queensland, Australia.
    16. Blasch, Julia & Boogen, Nina & Filippini, Massimo & Kumar, Nilkanth, 2017. "Explaining electricity demand and the role of energy and investment literacy on end-use efficiency of Swiss households," Energy Economics, Elsevier, vol. 68(S1), pages 89-102.
    17. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.
    18. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    19. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    20. Emilie Caldeira & Alou Adessé Dama & Ali Compaoré & Mario Mansour & Grégoire Rota-Graziosi, 2020. "Tax effort in Sub-Saharan African countries : evidence from a new dataset," CERDI Working papers hal-02543162, HAL.

    More about this item

    Keywords

    CCost efficiency; Regulation; Persistent and transient productive efficiency; Electricity distribution;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:lug:wpidep:1603. 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: Alessio Tutino (email available below). General contact details of provider: https://www.bul.sbu.usi.ch .

    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.