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Evaluating ecological efficiency of Chinese industrial enterprise

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  • Zhang, Ren-Long
  • Liu, Xiao-Hong

Abstract

With the increasing environmental pollution and environmental awareness, ecological efficiency has become a hot issue. Based on the traditional DEA model of unexpected output, a new super data envelopment analysis and slacks-based measure considering undesirable outputs (S-DEA-SBM-UO) efficiency model is proposed. Moreover, the weight S-DEA-SBM-UO (W–S-DEA-SBM-UO) is applied to evaluate the ecological efficiency of industrial enterprises. The experimental results show that the W–S-DEA-SBM-UO can measure the ecological efficiency including unexpected output more effectively than the conventional DEA-SBM to solve unexpected output. Finally, it is suggested that enterprises should make great efforts to improve the ecological efficiency and it is pointed out that the results have strong theoretical significance and research value for ecological improvement.

Suggested Citation

  • Zhang, Ren-Long & Liu, Xiao-Hong, 2021. "Evaluating ecological efficiency of Chinese industrial enterprise," Renewable Energy, Elsevier, vol. 178(C), pages 679-691.
    • Handle: RePEc:eee:renene:v:178:y:2021:i:c:p:679-691
    DOI: 10.1016/j.renene.2021.06.119
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    References listed on IDEAS

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    1. Mei, Mei & Chen, Zhihua, 2021. "Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA," Renewable Energy, Elsevier, vol. 165(P1), pages 716-730.
    2. Luo, Zheng & Chen, Xu & Wang, Xiaojun, 2016. "The role of co-opetition in low carbon manufacturing," European Journal of Operational Research, Elsevier, vol. 253(2), pages 392-403.
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    Cited by:

    1. Zhenggen Fan & Chao Deng & Yuqi Fan & Puwei Zhang & Hua Lu, 2021. "Spatial-Temporal Pattern and Evolution Trend of the Cultivated Land Use Eco-Efficiency in the National Pilot Zone for Ecological Conservation in China," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    2. Fan Liu & Shuling Zhou & Yaliu Yang & Conghu Liu, 2022. "Research on Industrial Ecological Efficiency Evaluation and Improvement Countermeasures Based on Data-Driven Evaluations from 30 Provinces and Cities in China," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    3. Yuxuan Xu & Fengjiao Qiang & Wenchun Luo, 2024. "Investigating the Impact of Heterogeneous Environmental Regulation on the Ecological Efficiency of Industrial Enterprises: A Multivariate Adjustment Approach Using the CLAD Spatial Durbin Model," Sustainability, MDPI, vol. 16(6), pages 1-37, March.

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