Ecological Evaluation of Industrial Parks Using a Comprehensive DEA and Inverted-DEA Model

Author:

Zhang Bingjiang1,Guo Jinling1,Wen Zheng1,Li Zhaoyao1,Wang Ning123ORCID

Affiliation:

1. Beijing Information Science and Technology University, Beijing 100192, China

2. Beijing Key Lab of Green Development Decision Making Based on Big Data, Beijing 100192, China

3. Beijing Knowledge Management Research Center, Beijing 100192, China

Abstract

Data envelopment analysis (DEA) and inverted data envelopment analysis (inverted-DEA) are used so that the desirable and undesirable outputs of decision-making units (DMUs) exist simultaneously. We developed a new approach based on the concept of utilizing both DEA and inverted-DEA to enhance the discrimination power of DMUs with undesirable outputs. DMUs are ranked by the Z-score method and classified based on the efficiency scores of DEA and inverted-DEA. Then, the characteristics of the DMUs are analyzed based on the classification result. This paper performs an efficiency evaluation of 21 industrial parks in China in 2017 using this new approach. The overall evaluation results indicate that the proposed new approach increases the discrimination ability in this empirical study.

Funder

National Key R&D Program of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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