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Efficiency Analysis of Energy Networks : An International Survey of Regulators

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Cited by:

  1. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
  2. Richard Green & Yacob Mulugetta & Zhong Xiang Zhang, 2014. "Sustainable energy policy," Chapters, in: Giles Atkinson & Simon Dietz & Eric Neumayer & Matthew Agarwala (ed.), Handbook of Sustainable Development, chapter 33, pages 532-550, Edward Elgar Publishing.
  3. Mark Andor & Frederik Hesse, 2014. "The StoNED age: the departure into a new era of efficiency analysis? A monte carlo comparison of StoNED and the “oldies” (SFA and DEA)," Journal of Productivity Analysis, Springer, vol. 41(1), pages 85-109, February.
  4. Neumann, Anne & Nieswand, Maria & Schubert, Torben, 2016. "Estimating Alternative Technology Sets in Nonparametric Efficiency Analysis: Restriction Tests for Panel and Clustered Data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 45(1), pages 35-51.
  5. Mark Andor & Frederik Hesse, "undated". "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
  6. Mark Andor & Frederik Hesse, "undated". "A Monte Carlo Simulation comparing DEA, SFA and two simple approaches to combine efficiency estimates," Working Papers 201177, Institute of Spatial and Housing Economics, Munster Universitary.
  7. Elvira Silva & Pedro Macedo & Isabel Soares, 2019. "Maximum entropy: a stochastic frontier approach for electricity distribution regulation," Journal of Regulatory Economics, Springer, vol. 55(3), pages 237-257, June.
  8. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," Working Papers 0038, Swiss Economics.
  9. Stern, Jon, 2012. "Developing upstream competition in the England and Wales water supply industry: A new approach," Utilities Policy, Elsevier, vol. 21(C), pages 1-16.
  10. 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.
  11. Römer, Benedikt & Reichhart, Philipp & Kranz, Johann & Picot, Arnold, 2012. "The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities," Energy Policy, Elsevier, vol. 50(C), pages 486-495.
  12. J-M- Glachant & H. Khalfallah & Y. Perez & V. Rious & M. Saguan, 2013. "Implementing Incentive Regulation and Regulatory Alignment with Resource Bounded Regulators," Competition and Regulation in Network Industries, Intersentia, vol. 14(3), pages 265-291, September.
  13. Nepal, Rabindra & Menezes, Flavio & Jamasb, Tooraj, 2014. "Network regulation and regulatory institutional reform: Revisiting the case of Australia," Energy Policy, Elsevier, vol. 73(C), pages 259-268.
  14. Chinmoy, Lakshmi & Iniyan, S. & Goic, Ranko, 2019. "Modeling wind power investments, policies and social benefits for deregulated electricity market – A review," Applied Energy, Elsevier, vol. 242(C), pages 364-377.
  15. Saastamoinen, Antti & Bjørndal, Endre & Bjørndal, Mette, 2017. "Specification of merger gains in the Norwegian electricity distribution industry," Energy Policy, Elsevier, vol. 102(C), pages 96-107.
  16. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
  17. Pezzini, Paola & Gomis-Bellmunt, Oriol & Frau-Valentí, Joan & Sudrià-Andreu, Antoni, 2010. "Energy efficiency optimization in distribution transformers considering Spanish distribution regulation policy," Energy, Elsevier, vol. 35(12), pages 4685-4690.
  18. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
  19. Machek Ondrej, 2011. "Regulatory Benchmarking In Central Europe: Current Practice And Possibilities Of Development For The Energy Sector," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 80-86, July.
  20. Seifert, Stefan & Cullmann, Astrid & von Hirschhausen, Christian, 2016. "Technical efficiency and CO2 reduction potentials — An analysis of the German electricity and heat generating sector," Energy Economics, Elsevier, vol. 56(C), pages 9-19.
  21. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
  22. Massimo Filippini & Luis Orea, 2014. "Applications of the stochastic frontier approach in Energy Economics," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 35-42.
  23. S P Santos & C A F Amado & J R Rosado, 2011. "Formative evaluation of electricity distribution utilities using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1298-1319, July.
  24. Agrell, Per J. & Grifell-Tatjé, Emili, 2016. "A dynamic model for firm-response to non-credible incentive regulation regimes," Energy Policy, Elsevier, vol. 90(C), pages 287-299.
  25. Jonas Teusch, 2019. "When Efficient Firms Flock Together: Merger Incentives Under Yardstick Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(2), pages 237-255, September.
  26. Mountain, Bruce & Littlechild, Stephen, 2010. "Comparing electricity distribution network revenues and costs in New South Wales, Great Britain and Victoria," Energy Policy, Elsevier, vol. 38(10), pages 5770-5782, October.
  27. Nykamp, Stefan & Andor, Mark & Hurink, Johann L., 2012. "‘Standard’ incentive regulation hinders the integration of renewable energy generation," Energy Policy, Elsevier, vol. 47(C), pages 222-237.
  28. Haney, Aoife Brophy & Pollitt, Michael G., 2011. "Exploring the determinants of “best practice” benchmarking in electricity network regulation," Energy Policy, Elsevier, vol. 39(12), pages 7739-7746.
  29. Altoé, Andrey Vinícius & da Costa Jr., Newton & Lopes, Ana Lúcia Miranda & Veloso, Thiago Roberto Magalhães & Saurin, Valter, 2017. "Technical efficiency and financial performance in the Brazilian distribution service operators," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 79-92.
  30. Janda, Karel & Krska, Stepan, 2014. "Benchmarking Methods in the Regulation of Electricity Distribution System Operators," MPRA Paper 59442, University Library of Munich, Germany.
  31. Llorca, Manuel & Orea, Luis & Pollit, Michael G., 2013. "Using in the latent class approach as a supervised method to cluster firms in DEA: An application to the US electricity transmission industry," Efficiency Series Papers 2013/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  32. Shinji Yane & Sanford Berg, 2013. "Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2337-2348, June.
  33. Arcos-Vargas, A. & Núñez-Hernández, F. & Villa-Caro, Gabriel, 2017. "A DEA analysis of electricity distribution in Spain: An industrial policy recommendation," Energy Policy, Elsevier, vol. 102(C), pages 583-592.
  34. Haney, Aoife Brophy & Pollitt, Michael G., 2013. "International benchmarking of electricity transmission by regulators: A contrast between theory and practice?," Energy Policy, Elsevier, vol. 62(C), pages 267-281.
  35. Saastamoinen, Antti & Kuosmanen, Timo, 2016. "Quality frontier of electricity distribution: Supply security, best practices, and underground cabling in Finland," Energy Economics, Elsevier, vol. 53(C), pages 281-292.
  36. Jean-Michel Glachant & Haikel Khalfallah & Yannick Perez & Vincent Rious & Marcelo Saguan, 2013. "Implementing incentive regulation through an alignment with resource bounded regulators," Post-Print halshs-00767872, HAL.
  37. Lukas D. Schuchardt & Andreas Hoffjan & Hendrik Finger, 2015. "Strategisches Regulierungsmanagement in der anreizregulierten Netzwirtschaft," Schmalenbach Journal of Business Research, Springer, vol. 67(1), pages 70-101, February.
  38. Stefan Seifert & Astrid Cullmann & Christian von Hirschhausen, 2014. "Technical Efficiency and CO2 Reduction Potentials: An Analysis of the German Electricity Generating Sector," Discussion Papers of DIW Berlin 1426, DIW Berlin, German Institute for Economic Research.
  39. Antonio Estache, 2010. "Infrastructure Policy for Shared Growth Post-2008: More and Better, or Simply More Complex ?," Working Papers ECARES ECARES 2010-032, ULB -- Universite Libre de Bruxelles.
  40. Rita, Rui & Marques, Vitor & Lúcia Costa, Ana & Matos Chaves, Inês & Gomes, Joana & Paulino, Paulo, 2018. "Efficiency performance and cost structure of Portuguese energy “utilities” – Non-parametric and parametric analysis," Energy, Elsevier, vol. 155(C), pages 35-45.
  41. Agrell, Per J. & Niknazar, Pooria, 2014. "Structural and behavioral robustness in applied best-practice regulation," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 89-103.
  42. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
  43. 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.
  44. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
  45. Heesche, Emil & Asmild, Mette, 2022. "Controlling for environmental conditions in regulatory benchmarking," Utilities Policy, Elsevier, vol. 77(C).
  46. Gouveia, M.C. & Dias, L.C. & Antunes, C.H. & Boucinha, J. & Inácio, C.F., 2015. "Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method," Omega, Elsevier, vol. 53(C), pages 104-114.
  47. Maria Nieswand & Stefan Seifert, 2016. "Operational Conditions in Regulatory Benchmarking Models: A Monte Carlo Analysis," Discussion Papers of DIW Berlin 1585, DIW Berlin, German Institute for Economic Research.
  48. Martínez Chombo Eduardo, 2009. "Sources of Over-Costs and Distortions in State-Owned Utilities in Mexico," Working Papers 2009-07, Banco de México.
  49. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
  50. 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).
  51. Emil Heesche & Mette Asmild, 2020. "Controlling for environmental conditions in regulatory benchmarking," IFRO Working Paper 2020/03, University of Copenhagen, Department of Food and Resource Economics.
  52. Romano, Teresa & Cambini, Carlo & Fumagalli, Elena & Rondi, Laura, 2022. "Setting network tariffs with heterogeneous firms: The case of natural gas distribution," European Journal of Operational Research, Elsevier, vol. 297(1), pages 280-290.
  53. da Silva, Aline Veronese & Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & do Carmo, Gabriela Miranda, 2019. "A close look at second stage data envelopment analysis using compound error models and the Tobit model," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 111-126.
  54. Janjic, Aleksandar & Velimirovic, Lazar Z. & Vranic, Petar, 2021. "Designing an electricity distribution reward-penalty scheme based on spatial reliability statistics," Utilities Policy, Elsevier, vol. 70(C).
  55. Julio Cesar Mosquera Gutierres & Rafael Coradi Leme & Rodrigo Luiz Mendes Mota & Paulo E. Steele Santos, 2021. "Regulatory efficiency decomposition for utilities’ parallel subsystems," Operational Research, Springer, vol. 21(1), pages 331-347, March.
  56. Leme, Rafael C. & Paiva, Anderson P. & Steele Santos, Paulo E. & Balestrassi, Pedro P. & Galvão, Leandro de Lima, 2014. "Design of experiments applied to environmental variables analysis in electricity utilities efficiency: The Brazilian case," Energy Economics, Elsevier, vol. 45(C), pages 111-119.
  57. Saastamoinen, Antti & Bjørndal, Endre & Bjørndal, Mette, 2016. "Specification of merger gains in the Norwegian electricity distribution industry," Discussion Papers 2016/7, Norwegian School of Economics, Department of Business and Management Science.
  58. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
  59. I. Horta & A. Camanho & Jill Johnes & Geraint Johnes, 2013. "Performance trends in the construction industry worldwide: an overview of the turn of the century," Journal of Productivity Analysis, Springer, vol. 39(1), pages 89-99, February.
  60. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).
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