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Restricted best practice selection in DEA: An overview with a case study evaluating the socio-economic performance of nations

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  • Boaz Golany
  • Sten Thore

Abstract

We discuss modifications in the concept of efficiency that occur in Data Envelopment Analysis when best practice selection is subjected to additional constraints reflecting institutional circumstances, externalities, equity considerations or other extraneous information. Such additional constraints restrict the feasible production possibility set on the envelopment side problem. We provide an overview of constraints that may be present on the envelopment side; some of them mimic the well-known cone-ratio and assurance region models on the multiplier side problem. The discussion is mainly in terms of policy-based constraints that are external to the physical input-output relationships and instead reflect the institutional setting of the efficiency rankings, including considerations of the economic and social policy. A numerical example which rates the socio-economic performance of both developed and developing nations is provided to illustrate our model developments. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Boaz Golany & Sten Thore, 1997. "Restricted best practice selection in DEA: An overview with a case study evaluating the socio-economic performance of nations," Annals of Operations Research, Springer, vol. 73(0), pages 117-140, October.
    • Handle: RePEc:spr:annopr:v:73:y:1997:i:0:p:117-140:10.1023/a:1018916925568
    DOI: 10.1023/A:1018916925568
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    Citations

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    Cited by:

    1. Marshall, Elizabeth P. & Shortle, James S., 2005. "Using DEA and VEA to Evaluate Quality of Life in the Mid-Atlantic States," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 34(2), pages 1-19, October.
    2. Martin Bod’a & Martin Dlouhý & Emília Zimková, 2018. "Unobservable or omitted production variables in data envelopment analysis through unit-specific production trade-offs," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 813-846, December.
    3. Thore, Sten, 2022. "Sustainable development goal deficits and the Covid 19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Lin, Ming-Ian & Lee, Yuan-Duen & Ho, Tsai-Neng, 2011. "Applying integrated DEA/AHP to evaluate the economic performance of local governments in China," European Journal of Operational Research, Elsevier, vol. 209(2), pages 129-140, March.
    5. Adler, Nicole & Yazhemsky, Ekaterina & Tarverdyan, Ruzanana, 2010. "A framework to measure the relative socio-economic performance of developing countries," Socio-Economic Planning Sciences, Elsevier, vol. 44(2), pages 73-88, June.
    6. Panagiotis Ravanos & Giannis Karagiannis, 2021. "Using VEA to assess effectiveness in the development of human capabilities," Economic Change and Restructuring, Springer, vol. 54(1), pages 75-99, February.
    7. Adler, Nicole & Liebert, Vanessa & Yazhemsky, Ekaterina, 2013. "Benchmarking airports from a managerial perspective," Omega, Elsevier, vol. 41(2), pages 442-458.
    8. Lukáš Melecký & Michaela Staníčková & Jana Hančlová, 2019. "Nonparametric Approach to Evaluation of Economic and Social Development in the EU28 Member States by DEA Efficiency," JRFM, MDPI, vol. 12(2), pages 1-34, April.
    9. S Lozano & G Villa, 2005. "Determining a sequence of targets in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(12), pages 1439-1447, December.
    10. Sebastián Lozano & Gabriel Villa, 2010. "Gradual technical and scale efficiency improvement in DEA," Annals of Operations Research, Springer, vol. 173(1), pages 123-136, January.
    11. Jaehun Park & Si-Il Sung, 2016. "Integrated Approach to Construction of Benchmarking Network in DEA-Based Stepwise Benchmark Target Selection," Sustainability, MDPI, vol. 8(7), pages 1-15, June.
    12. Thore, Sten & Tarverdyan, Ruzanna, 2009. "Using data envelopment analysis to quantify ILO objectives and identify policies conducive to decent work in a globalizing world," Socio-Economic Planning Sciences, Elsevier, vol. 43(3), pages 151-164, September.
    13. Alda A. Henriques & Milton Fontes & Ana S. Camanho & Giovanna D’Inverno & Pedro Amorim & Jaime Gabriel Silva, 2022. "Performance evaluation of problematic samples: a robust nonparametric approach for wastewater treatment plants," Annals of Operations Research, Springer, vol. 315(1), pages 193-220, August.

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