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

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  • Bingjiang Zhang
  • Jinling Guo
  • Zheng Wen
  • Zhaoyao Li
  • Ning Wang

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.

Suggested Citation

  • Bingjiang Zhang & Jinling Guo & Zheng Wen & Zhaoyao Li & Ning Wang, 2020. "Ecological Evaluation of Industrial Parks Using a Comprehensive DEA and Inverted-DEA Model," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, November.
    • Handle: RePEc:hin:jnlmpe:9397806
    DOI: 10.1155/2020/9397806
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    Cited by:

    1. Moghaddas, Zohreh & Tosarkani, Babak Mohamadpour & Yousefi, Samuel, 2022. "Resource reallocation for improving sustainable supply chain performance: An inverse data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 252(C).

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