The linear formulation of the ZSG-DEA models with different production technologies

Gongbing Bi, Chenpeng Feng, Jingjing Ding, Liang Liang and Feng Chu
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Gongbing Bi: University of Science and Technology of China, Hefei, P.R. China
Chenpeng Feng: 1] University of Science and Technology of China, Hefei, P.R. China[2] University of Evry-Val d’Essonne, Evry, France
Liang Liang: University of Science and Technology of China, Hefei, P.R. China
Feng Chu: University of Evry-Val d’Essonne, Evry, France

Journal of the Operational Research Society, 2014, vol. 65, issue 8, 1202-1211

Abstract: The zero sum gains data envelopment analysis models (ZSG-DEA models) are non-linear. In this paper, we first show that the ZSG-DEA models can be transformed to linear or parametric linear models and discuss the feasible domains of the parameters. Second, we show that the linear formulations of ZSG-DEA models under the equal output reduction strategy and the proportional output reduction strategy in a single output case are equivalent to the output-oriented super-efficiency model under variable returns-to-scale (VRS) assumption. As a matter of course, the models may encounter infeasibility. Third, we propose the linear transformations of ZSG-DEA models under constant returns-to-scale (CRS) assumption and compare them with the VRS models. In the end, we evaluate the participant countries at the Olympic Games by the linear equivalent models with multiple outputs under different weight restrictions. Our results are compared with the efficiencies obtained from the original ZSG-DEA model with an aggregated output under both CRS and VRS assumptions. It is found that the original method with aggregated output tends to underestimate the efficiencies of DMUs.

Date: 2014
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