IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v178y2021icp679-691.html
   My bibliography  Save this article

Evaluating ecological efficiency of Chinese industrial enterprise

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812100985X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.06.119?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baosheng Wang & Yiping Fang & Xueyuan Huang & Xinjun He, 2024. "Supporting Efficiency Measurement and Tradeoff Optimization Methods of Ecosystem Services on Grain Production," Land, MDPI, vol. 13(7), pages 1-20, July.
    2. 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.
    3. 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.
    4. Qinghua Pang & Xiaopeng Wei & Lina Zhang & Yanjie Shang, 2025. "Assessing the Impact of China’s Industry on Health: A Dynamic Three-Stage Bootstrap Model with an Endogenous Fuzzy Directional Distance Function," Sustainability, MDPI, vol. 17(2), pages 1-27, January.
    5. Ding, Heping & Liu, Conghu, 2024. "Carbon emission efficiency of China's logistics industry: Measurement, evolution mechanism, and promotion countermeasures," Energy Economics, Elsevier, vol. 129(C).
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linghong Zhang & Bowen Xue & Xiyu Liu, 2018. "Carbon Emission Reduction with Regard to Retailer’s Fairness Concern and Subsidies," Sustainability, MDPI, vol. 10(4), pages 1-28, April.
    2. Wen, Wen & Zhou, P. & Zhang, Fuqiang, 2018. "Carbon emissions abatement: Emissions trading vs consumer awareness," Energy Economics, Elsevier, vol. 76(C), pages 34-47.
    3. Yue Tan & Chunxiang Guo, 2019. "Research on Two-Way Logistics Operation with Uncertain Recycling Quality in Government Multi-Policy Environment," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    4. Chen, Xu & Wang, Xiaojun & Jing, Haojie, 2023. "Technology licensing strategies for three cost-differential manufacturers," European Journal of Operational Research, Elsevier, vol. 308(2), pages 622-635.
    5. Chen, Wenbo, 2018. "Retailer-driven carbon emission abatement with consumer environmental awareness and carbon tax: Revenue-sharing versus Cost-sharingAuthor-Name: Yang, Huixiao," Omega, Elsevier, vol. 78(C), pages 179-191.
    6. Xianliang Shi & Genzhu Li & Ciwei Dong & Yefei Yang, 2020. "Value Co-Creation Behavior in Green Supply Chains: An Empirical Study," Energies, MDPI, vol. 13(15), pages 1-26, July.
    7. Ma, Junhai & Hou, Yaming & Wang, Zongxian & Yang, Wenhui, 2021. "Pricing strategy and coordination of automobile manufacturers based on government intervention and carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).
    8. Ji, Jingna & Li, Tao & Yang, Lei, 2023. "Pricing and carbon reduction strategies for vertically differentiated firms under Cap-and-Trade regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    9. Yanfen Mu & Feng Niu, 2022. "To Be or Not to Be? Strategic Analysis of Carbon Tax Guiding Manufacturers to Choose Low-Carbon Technology," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    10. Atawnah, Nader & Hossain, Md Zakir & Al Mamun, Md & Badarin, Louy, 2024. "Does product market competition affect corporate waste management? International evidence," International Review of Economics & Finance, Elsevier, vol. 95(C).
    11. Anas A. Makki & Reda M. S. Abdulaal, 2023. "A Hybrid MCDM Approach Based on Fuzzy MEREC-G and Fuzzy RATMI," Mathematics, MDPI, vol. 11(17), pages 1-19, September.
    12. Xia, Jing & Niu, Wenju, 2021. "Carbon-reducing contract design for a supply chain with environmental responsibility under asymmetric information," Omega, Elsevier, vol. 102(C).
    13. Yang, Lei & Tang, Ruihong, 2019. "Comparisons of sales modes for a fresh product supply chain with freshness-keeping effort," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 425-448.
    14. Cao, Erbao & Yu, Man, 2019. "The bright side of carbon emission permits on supply chain financing and performance," Omega, Elsevier, vol. 88(C), pages 24-39.
    15. Luo, Zheng & Chen, Xu & Chen, Jing & Wang, Xiaojun, 2017. "Optimal pricing policies for differentiated brands under different supply chain power structures," European Journal of Operational Research, Elsevier, vol. 259(2), pages 437-451.
    16. Jia, Fu & Zhang, Shiyuan & Zheng, Xiao-Xue & Choi, Tsan-Ming, 2023. "A novel coordination mechanism to coordinate the multi-agent reverse supply chain with fairness concerns," International Journal of Production Economics, Elsevier, vol. 265(C).
    17. Ante, Lennart, 2024. "The scope of green finance research: Research streams, influential works and future research paths," Ecological Economics, Elsevier, vol. 224(C).
    18. Faqi Xie & Yushuang Deng & Huiru Chen, 2023. "Pricing and Quantity Decisions under Asymmetric Carbon Emission Reduction Information and Cap-and-Trade Mechanism," IJERPH, MDPI, vol. 20(3), pages 1-27, January.
    19. Xiaojiao Qiao & Shimeng Xu & Dan Shi & Xiukun Zhao, 2023. "Data-Driven Sustainable Supply Chain Decision Making in the Presence of Low Carbon Awareness," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    20. Chen, Xu & Luo, Zheng & Wang, Xiaojun, 2019. "Compete or cooperate: Intensity, dynamics, and optimal strategies," Omega, Elsevier, vol. 86(C), pages 76-86.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:178:y:2021:i:c:p:679-691. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.