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An assessment of the green development efficiency of industrial parks in China: Based on non-desired output and non-radial DEA model

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  • Yu, Xiang

Abstract

Greening the industrial parks is one of China's attempts to explore sustainable development for the industrial sector. The efficiency of green development has come to serve as a criteria index to evaluate the performance of green development for industrial parks. In this paper, a non-desired output and non-radial DEA model was proposed for measuring industrial parks’ green development performance. We use the panel data of 171 green industrial parks certified by China's central government to evaluate the green development efficiency. It shows that the green development efficiency of the industrial parks exhibits significant spatial and temporal heterogeneity. We further decompose the green development efficiency and analyze the input redundancy and output insufficiency. We also choose Suzhou and Yunnan Anning Industrial Park for case studies, in order to explore the measures which can be replicated and promoted, and contribute to the green development of industrial parks in China and other developing countries.

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  • Yu, Xiang, 2023. "An assessment of the green development efficiency of industrial parks in China: Based on non-desired output and non-radial DEA model," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 81-88.
  • Handle: RePEc:eee:streco:v:66:y:2023:i:c:p:81-88
    DOI: 10.1016/j.strueco.2023.04.010
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    1. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    2. repec:bla:scandj:v:87:y:1985:i:4:p:594-604 is not listed on IDEAS
    3. Xin Wang & Shuwei Zhang, 2017. "Exploring linkages among China's 2030 climate targets," Climate Policy, Taylor & Francis Journals, vol. 17(4), pages 458-469, May.
    4. Luo, Kang & Liu, Yaobin & Chen, Pei-Fen & Zeng, Mingli, 2022. "Assessing the impact of digital economy on green development efficiency in the Yangtze River Economic Belt," Energy Economics, Elsevier, vol. 112(C).
    5. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).
    6. Zhu Liu & Dabo Guan & Scott Moore & Henry Lee & Jun Su & Qiang Zhang, 2015. "Climate policy: Steps to China's carbon peak," Nature, Nature, vol. 522(7556), pages 279-281, June.
    7. Wang, Feng & Wu, Min & Wang, Jingcao, 2023. "Can increasing economic complexity improve China's green development efficiency?," Energy Economics, Elsevier, vol. 117(C).
    8. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Zhu, Xuehong & Chen, Ying & Feng, Chao, 2018. "Green total factor productivity of China's mining and quarrying industry: A global data envelopment analysis," Resources Policy, Elsevier, vol. 57(C), pages 1-9.
    11. Mike Hulme & Noam Obermeister & Samuel Randalls & Maud Borie, 2018. "Framing the challenge of climate change in Nature and Science editorials," Nature Climate Change, Nature, vol. 8(6), pages 515-521, June.
    12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    13. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    14. Yang Guo & Jinping Tian & Lyujun Chen, 2020. "Managing energy infrastructure to decarbonize industrial parks in China," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
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