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Methodological Advances in DEA: A survey and an application for the Dutch electricity sector

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  • Laurens Cherchye
  • Thierry Post

Abstract

We survey the methodological advances in DEA over the last 25 years and discuss the necessary conditions for a sound empirical application. We hope this survey will contribute to the further dissemination of DEA, the knowledge of its relative strengths and weaknesses, and the tools currently available for exploiting its full potential. Our main points are illustrated by the case of the DEA study used by the regulatory office of the Dutch electricity sector (Dienst Toezicht Elektriciteitswet; Dte) for setting price caps.

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  • Laurens Cherchye & Thierry Post, 2003. "Methodological Advances in DEA: A survey and an application for the Dutch electricity sector," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(4), pages 410-438, November.
    • Handle: RePEc:bla:stanee:v:57:y:2003:i:4:p:410-438
    DOI: 10.1111/1467-9574.00238
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    1. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235, September.
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    1. S Blancard & J-P Boussemart & H Leleu, 2011. "Measuring potential gains from specialization under non-convex technologies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1871-1880, October.
    2. Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2018. "Operational performance management of the power industry: a distinguishing analysis between effectiveness and efficiency," Annals of Operations Research, Springer, vol. 268(1), pages 513-537, September.
    3. Herrera, Santiago & Pang, Gaobo, 2005. "Efficiency of public spending in developing countries : an efficiency frontier approach," Policy Research Working Paper Series 3645, The World Bank.
    4. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    5. de Borger, Bruno & Kerstens, Kristiaan & Staat, Matthias, 2008. "Transit costs and cost efficiency: Bootstrapping non-parametric frontiers," Research in Transportation Economics, Elsevier, vol. 23(1), pages 53-64, January.
    6. Santiago Herrera & Gaobo Pang, 2006. "How Efficient is Public Spending in Education?," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 24(51), pages 136-201.
    7. Blancard, Stéphane & Boussemart, Jean-Philippe & Chavas, Jean-Paul & Leleu, Hervé, 2016. "Potential gains from specialization and diversification further to the reorganization of activities," Omega, Elsevier, vol. 63(C), pages 60-68.
    8. B. J. Gajewski & R. Lee & M. Bott & U. Piamjariyakul & R. L. Taunton, 2009. "On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes' care planning process," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 933-944.
    9. Nhu-Ty Nguyen, 2020. "Performance Evaluation in Strategic Alliances: A Case of Vietnamese Construction Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 85-99, March.
    10. Corrado Lo Storto, 2018. "Efficiency, Conflicting Goals and Trade-Offs: A Nonparametric Analysis of the Water and Wastewater Service Industry in Italy," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    11. Laurens Cherchye & Bram De Rock & Veerle Hennebel, 2017. "Coordination efficiency in multi-output settings: a DEA approach," Annals of Operations Research, Springer, vol. 250(1), pages 205-233, March.
    12. Radha R. Ashrit, 2023. "Estimation of technical efficiency of Indian farms for major crops during 2013–2014 and 2017–2018: a stochastic Frontier production approach," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.
    13. Cherchye, Laurens & De Rock, Bram & Hennebel, Veerle, 2014. "The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 29-37.
    14. Ahmed, Elsadig Musa & Krishnasamy, Geeta, 2013. "Are Asian technology gaps due to human capital quality differences?," Economic Modelling, Elsevier, vol. 35(C), pages 51-58.
    15. Tsolas, Ioannis E., 2011. "Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA," Resources Policy, Elsevier, vol. 36(2), pages 159-167, June.
    16. de Borger, Bruno & Kerstens, Kristiaan & Staat, Matthias, 2009. "Erratum to "Transit costs and cost efficiency: Bootstrapping non-parametric frontiers" [Research in Transport Economics 23 (2008) 53-64]," Research in Transportation Economics, Elsevier, vol. 25(1), pages 67-67.
    17. Rainer Walz & Wolfgang Eichhammer, 2012. "Benchmarking green innovation," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 24(2), pages 79-101, June.

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