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Productivity change and innovation in Norwegian electricity distribution companies

Author

Listed:
  • V L Miguéis

    (Faculdade de Engenharia, Universidade do Porto, Portugal)

  • A S Camanho

    (Faculdade de Engenharia, Universidade do Porto, Portugal)

  • E Bjørndal

    (Norwegian School of Economics and Business Administration, Bergen, Norway)

  • M Bjørndal

    (Norwegian School of Economics and Business Administration, Bergen, Norway)

Abstract

Regulators of electricity distribution networks have typically applied Data Envelopment Analysis (DEA) to cross-section data for benchmarking purposes. However, the use of panel data to analyse the impact of regulatory policies on productivity change over time is less frequent. The main purpose of this paper is to construct a Malmquist productivity index to examine the recent productivity change experienced by Norwegian distribution companies between 2004 and 2007. The Malmquist index is decomposed in order to explore the sources of productivity change, and to identify the innovator companies that pushed the frontier forward each year. The input and output variables considered are those used by the Norwegian regulator. In order to reflect appropriately the exogenous conditions where the companies operate, the efficiency model used in this paper incorporates geography variables as outputs of the DEA model. Unlike the model used by the regulator, we included virtual weight restrictions in the DEA formulation to correct the biases in the DEA results that may be associated to a judicious choice of weights by some of the companies.

Suggested Citation

  • V L Miguéis & A S Camanho & E Bjørndal & M Bjørndal, 2012. "Productivity change and innovation in Norwegian electricity distribution companies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(7), pages 982-990, July.
    • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:7:p:982-990
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    Citations

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    Cited by:

    1. Ajayi, Victor & Anaya, Karim & Pollitt, Michael, 2022. "Incentive regulation, productivity growth and environmental effects: the case of electricity networks in Great Britain," Energy Economics, Elsevier, vol. 115(C).
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Orea, Luis & Álvarez, Inmaculada C. & Jamasb, Tooraj, 2016. "A spatial approach to control for unobserved environmental conditions when measuring firms’ technology: an application to Norwegian electricity distribution networks," Efficiency Series Papers 2016/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    4. Patyal, Vishal Singh & Kumar, Ravi & Lamba, Kuldeep & Maheshwari, Sunil, 2023. "Performance evaluation of Indian electricity distribution companies: An integrated DEA-IRP-TOPSIS approach," Energy Economics, Elsevier, vol. 124(C).
    5. Cheng, Xiaomei & Bjørndal, Endre & Bjørndal, Mette, 2015. "Optimal Scale in Different Environments – The Case of Norwegian Electricity Distribution Companies," Discussion Papers 2015/22, Norwegian School of Economics, Department of Business and Management Science.
    6. Rahmatallah Poudineh & Tooraj Jamasb, 2016. "A New Perspective: Investment and Efficiency under Incentive Regulation," The Energy Journal, , vol. 37(1), pages 158-182, January.
    7. Orea, L. & Álvarez, I & Jamasb, T., 2016. "Using a spatial econometric approach to mitigate omitted variables in stochastic frontier models: An application to Norwegian electricity distribution networks," Cambridge Working Papers in Economics 1673, Faculty of Economics, University of Cambridge.
    8. Cheng, Xiaomei & Bjørndal, Endre & Lien, Gudbrand & Bjørndal, Mette, 2015. "Productivity Development for Norwegian Electricity Distribution Companies 2004-2013," Discussion Papers 2015/27, Norwegian School of Economics, Department of Business and Management Science.
    9. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2019. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," European Journal of Operational Research, Elsevier, vol. 274(1), pages 240-252.
    10. Cheng, Xiaomei & Bjørndal, Endre & Bjørndal, Mette, 2015. "Malmquist Productivity Analysis based on StoNED," Discussion Papers 2015/25, Norwegian School of Economics, Department of Business and Management Science.
    11. Amado, Carla A.F. & Santos, Sérgio P. & Sequeira, João F.C., 2013. "Using Data Envelopment Analysis to support the design of process improvement interventions in electricity distribution," European Journal of Operational Research, Elsevier, vol. 228(1), pages 226-235.
    12. Yauheniya Varabyova & Jonas Schreyögg, 2018. "Integrating quality into the nonparametric analysis of efficiency: a simulation comparison of popular methods," Annals of Operations Research, Springer, vol. 261(1), pages 365-392, February.
    13. Raúl Pérez-Reyes & Beatriz Tovar, 2021. "Peruvian Electrical Distribution Firms’ Efficiency Revisited: A Two-Stage Data Envelopment Analysis," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    14. Mirza, Faisal Mehmood & Rizvi, Syed Badar-Ul-Husnain & Bergland, Olvar, 2021. "Service quality, technical efficiency and total factor productivity growth in Pakistan's post-reform electricity distribution companies," Utilities Policy, Elsevier, vol. 68(C).
    15. Cambini, Carlo & Croce, Annalisa & Fumagalli, Elena, 2014. "Output-based incentive regulation in electricity distribution: Evidence from Italy," Energy Economics, Elsevier, vol. 45(C), pages 205-216.
    16. Cheng, Xiaomei & Bjørndal, Endre & Bjørndal, Mette, 2014. "Cost Efficiency Analysis based on The DEA and StoNED Models: Case of Norwegian Electricity Distribution Companies," Discussion Papers 2014/28, Norwegian School of Economics, Department of Business and Management Science.
    17. Luis Orea & Tooraj Jamasb, 2017. "Regulating Heterogeneous Utilities: A New Latent Class Approach with Application to the Norwegian Electricity Distribution Networks," The Energy Journal, , vol. 38(4), pages 101-127, July.
    18. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.

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