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DEA models with Russell measures

Author

Listed:
  • Wanfang Shen

    (Shandong University of Finance and Economics)

  • Guoliang Yang

    (Chinese Academy of Sciences)

  • Zhongbao Zhou

    (Hunan University)

  • Wenbin Liu

    (University of Kent)

Abstract

In real applications, data envelopment analysis models with Russell measures are widely used although their theoretical studies are scattered over the literature. They often have seemingly similar structures but play very different roles in performance evaluation. In this work, we systematically examine some of the models from the viewpoint of preferences used in their production possibility sets (PPS). We identify their key differences through the convexity and free-disposability of their PPS. We believe that this study will provide guidelines for the correct use of these models. Two empirical cases are used to compare their differences.

Suggested Citation

  • Wanfang Shen & Guoliang Yang & Zhongbao Zhou & Wenbin Liu, 2019. "DEA models with Russell measures," Annals of Operations Research, Springer, vol. 278(1), pages 337-359, July.
    • Handle: RePEc:spr:annopr:v:278:y:2019:i:1:d:10.1007_s10479-018-2867-2
    DOI: 10.1007/s10479-018-2867-2
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    References listed on IDEAS

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    Cited by:

    1. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.

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