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Efficiency analysis of East European electricity distribution in transition: legacy of the past?

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  • Astrid Cullmann
  • Christian Hirschhausen
Abstract
This paper provides a cross-country efficiency analysis of electricity distribution companies in East European transition countries (Poland, Czech Republic, Slovakia and Hungary). We compare the relative technical efficiency of East European regional distribution companies (RDCs) among themselves, as well as with German RDCs. We use the nonparametric DEA, and also apply bootstrapping techniques and the FDH-estimator; in addition, we carry out parametric analyses, mainly SFA (stochastic frontier analysis) and COLS (corrected ordinary least squares). The results suggest that the Polish distribution companies are still inefficiently small. The Czech Republic and Slovakia feature the highest efficiency.
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  • Astrid Cullmann & Christian Hirschhausen, 2008. "Efficiency analysis of East European electricity distribution in transition: legacy of the past?," Journal of Productivity Analysis, Springer, vol. 29(2), pages 155-167, April.
  • Handle: RePEc:kap:jproda:v:29:y:2008:i:2:p:155-167
    DOI: 10.1007/s11123-007-0075-1
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    4. Mirza, Faisal Mehmood & Mushtaq, Iqra & Ullah, Kafait, 2017. "Assessing the efficiency dynamics of post reforms electric distribution utilities in Pakistan," Utilities Policy, Elsevier, vol. 47(C), pages 18-28.
    5. Astrid Cullmann & Christian von Hirschhausen, 2007. "From Transition to Competition: Dynamic Efficiency Analysis of Polish Electricity Distribution Companies," Discussion Papers of DIW Berlin 716, DIW Berlin, German Institute for Economic Research.
    6. 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).
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    8. Elisa Borghi & Chiara Del Bo & Massimo Florio, 2016. "Institutions and Firms' Productivity: Evidence from Electricity Distribution in the EU," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 170-196, April.
    9. Vu, Khuong & Hartley, Kris, 2022. "Effects of digital transformation on electricity sector growth and productivity: A study of thirteen industrialized economies," Utilities Policy, Elsevier, vol. 74(C).
    10. Shermeh, H. Ebrahimzadeh & Najafi, S.E. & Alavidoost, M.H., 2016. "A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies," Energy, Elsevier, vol. 112(C), pages 686-697.
    11. Hania Arif & Mamoona Midhat Kazmi & Aamer Amin, 2021. "Improving Rice Yield Through Insufficient Water," International Journal of Agriculture & Sustainable Development, 50sea, vol. 3(2), pages 33-38, May.
    12. 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.
    13. Muller, Renan Bergonsi & Rego, Erik Eduardo, 2021. "Privatization of electricity distribution in Brazil: Long-term effects on service quality and financial indicators," Energy Policy, Elsevier, vol. 159(C).
    14. Brzić, Barbara & Dabić, Marina & Kukura, Frane & Podobnik, Boris, 2021. "The effects of corruption and the fraction of private ownership on the productivity of telecommunication companies," Technology in Society, Elsevier, vol. 65(C).
    15. Djula Borozan & Dubravka Pekanov Starcevic, 2021. "Analysing the Pattern of Productivity Change in the European Energy Industry," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    16. Tooraj Jamasb & Rabindra Nepal & Govinda Timilsina & Michael Toman, 2014. "Energy Sector Reform, Economic Efficiency and Poverty Reduction," Discussion Papers Series 529, School of Economics, University of Queensland, Australia.
    17. Astrid Cullmann & Hélène Crespo & Marie-Anne Plagnet, 2008. "International Benchmarking in Electricity Distribution: A Comparison of French and German Utilities," Discussion Papers of DIW Berlin 830, DIW Berlin, German Institute for Economic Research.
    18. Diana Oliveros & Mauricio Mendoza, 2013. "¿Es la privatización la solución a los problemas de ineficiencia de las empresas públicas?: Revisión de la literatura," Revista Lebret, Universidad Santo Tomás - Bucaramanga, December.
    19. Jamasb,Tooraj & Nepal,Rabindra & Timilsina,Govinda R., 2015. "A quarter century effort yet to come of age : a survey of power sector reforms in developing countries," Policy Research Working Paper Series 7330, The World Bank.
    20. H. Örkcü & Mehmet Ünsal & Hasan Bal, 2015. "A modification of a mixed integer linear programming (MILP) model to avoid the computational complexity," Annals of Operations Research, Springer, vol. 235(1), pages 599-623, December.
    21. Darold Barnum & John Gleason, 2011. "Measuring efficiency under fixed proportion technologies," Journal of Productivity Analysis, Springer, vol. 35(3), pages 243-262, June.
    22. Sokvibol Kea & Hua Li & Linvolak Pich, 2016. "Technical Efficiency and Its Determinants of Rice Production in Cambodia," Economies, MDPI, vol. 4(4), pages 1-17, October.
    23. Petridis, Konstantinos & Ünsal, Mehmet Güray & Dey, Prasanta Kumar & Örkcü, H. Hasan, 2019. "A novel network data envelopment analysis model for performance measurement of Turkish electric distribution companies," Energy, Elsevier, vol. 174(C), pages 985-998.

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    More about this item

    Keywords

    Efficiency analysis; Nonparametric approaches; Electricity distribution; Transition; Eastern Europe; L51; P31; C14; C67;
    All these keywords.

    JEL classification:

    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • P31 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Socialist Enterprises and Their Transitions
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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