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.
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Acknowledgements
The authors would like to thank the support of the National Natural Science Foundation of China (Nos. 71771082, 71371067, 11501326) and Hunan Provincial Natural Science Foundation of China (No. 2017JJ1012).
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Shen, W., Yang, G., Zhou, Z. et al. DEA models with Russell measures. Ann Oper Res 278, 337–359 (2019). https://doi.org/10.1007/s10479-018-2867-2
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DOI: https://doi.org/10.1007/s10479-018-2867-2