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Chinese Journal of Management Science ›› 2014, Vol. 22 ›› Issue (4): 98-104.

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An Approach on the Performance Evaluation Problems Based on Multiple DEA Models and Gini Criterion——Evaluating the Performance of Universities in China

XUE Hui1, ZHENG Zhong-hua2, XIE Qi-wei3   

  1. 1. Tianjin University School of Continuing Education, Tianjin 300072, China;
    2. School of Education, Renmin University of China, Beijing 100872, China;
    3. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2012-06-27 Revised:2012-12-19 Online:2014-04-20 Published:2014-04-23

Abstract: To deal with the problem that multiple DEA models might generate different performance evaluation results, an approach based on the Gini criterion is proposed by fusing the results together scientifically. Firstly, the purity of information based on the Gini criterion is defined to measure the certainty of the results, and then the weights are given to each DEA model. A unique set of comprehensive efficiencies can be obtained by weighting the results of each DEA model and the corresponding model weight. Moreover, considering the preference and priori information of estimators, interactive multiple DEA models and Gini criterion approach are further proposed. Measuring the performance of higher education colleges is one of important applications in DEA, and previous researches study the problem just choose the evaluation DEA model from a single point of view. It would be more comprehensive and objective if multiple DEA models that are from multiple points of view are used. Consequently, applying the proposed method to evaluate the performance of 25 science and engineering universities in 2011, and the empirical results show that the approach is reasonable and effective, which has practical significance in the research of measuring the performance of higher education colleges.

Key words: performance evaluation, data envelopment analysis, Gini criterion, comprehensive efficiency

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