J
Jie Wu
Researcher at University of Science and Technology of China
Publications - 165
Citations - 6780
Jie Wu is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Data envelopment analysis & Computer science. The author has an hindex of 40, co-authored 144 publications receiving 5136 citations.
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Environmental efficiency evaluation based on data envelopment analysis: A review
TL;DR: In this paper, the authors investigate the achievements of the theoretical and practical basis of environmental policy analysis in order to study their works and point out the future possible research direction; they sort out researches about environmental efficiency assessment and review the works about the theory and application of efficiency analysis around the world.
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Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA
TL;DR: In this article, a two-stage network DEA model was used to evaluate the efficiency of 16 major Chinese commercial banks during the third round of the Chinese banking reform period (2003-2011) with variable returns to scale setting and the consideration of undesirable/bad output.
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The DEA Game Cross-Efficiency Model and Its Nash Equilibrium
TL;DR: The original DEA cross-efficiency concept is generalized to game cross efficiency, where each DMU is viewed as a player that seeks to maximize its own efficiency, under the condition that the cross efficiency of each of the other DMUs does not deteriorate.
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Alternative secondary goals in DEA cross-efficiency evaluation
TL;DR: This paper seeks to extend the model of Doyle and Green by introducing a number of different secondary objective functions, which provide a ranking among the decision-making units (DMUs) and eliminates unrealistic DEA weighting schemes without requiring a priori information on weight restrictions.
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DEA game cross-efficiency approach to Olympic rankings
Jie Wu,Liang Liang,Yao Chen +2 more
TL;DR: In this article, a modified variable returns to scale (VRS) model was proposed to evaluate the performance of the countries in Olympic games, where each DMU is viewed as a competitor via non-cooperative game and a multiplier bundle is determined that optimizes the efficiency score for that DMU.