IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v66y2023icp81-88.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X23000553
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2023.04.010?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. repec:bla:scandj:v:87:y:1985:i:4:p:594-604 is not listed on IDEAS
    2. 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).
    3. 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).
    4. Wang, Feng & Wu, Min & Wang, Jingcao, 2023. "Can increasing economic complexity improve China's green development efficiency?," Energy Economics, Elsevier, vol. 117(C).
    5. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    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. Chunling Li & Jun Han, 2024. "Spatial Differences, Dynamic Evolution, and Driving Factors of Carbon Emission Efficiency in National High-Tech Zones," Sustainability, MDPI, vol. 16(15), pages 1-29, July.
    2. Qing Song & Yi Xie & Chuanming Yang, 2024. "Decomposition of China’s Carbon Emissions Responsibility from the Perspective of Technological Heterogeneity," Sustainability, MDPI, vol. 16(10), pages 1-19, May.
    3. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.

    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. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Qing Yang & Lingmei Fu & Xingxing Liu & Mengying Cheng, 2018. "Evaluating the Efficiency of Municipal Solid Waste Management in China," IJERPH, MDPI, vol. 15(11), pages 1-23, November.
    3. Ruomeng Zhou & Yunsheng Zhang, 2023. "Measurement of Urban Green Total Factor Productivity and Analysis of Its Temporal and Spatial Evolution in China," Sustainability, MDPI, vol. 15(12), pages 1-32, June.
    4. Qi Yang & Zhonggen Sun & Hubiao Zhang, 2022. "Assessment of Urban Green Development Efficiency Based on Three-Stage DEA: A Case Study from China’s Yangtze River Delta," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    5. Junfeng Zhang & Jianxu Liu & Jing Li & Yuyan Gao & Chuansong Zhao, 2021. "Green Development Efficiency and Its Influencing Factors in China’s Iron and Steel Industry," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    6. Dian Li & Ziheng Shangguan & Malan Huang & Xinyue Zhang & Lu Tang, 2022. "Impacts of Urban Development on Regional Green Development Efficiency—A Case of the Yangtze River Delta in China," Energies, MDPI, vol. 15(13), pages 1-18, June.
    7. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.
    8. Zhi Li & Lu Lv & Zuo Zhang, 2022. "Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency," Energies, MDPI, vol. 15(20), pages 1-15, October.
    9. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    10. Teng, Xiangyu & Zhuang, Weiwei & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "China's path of carbon neutralization to develop green energy and improve energy efficiency," Renewable Energy, Elsevier, vol. 206(C), pages 397-408.
    11. Chen, Jiabin & Wen, Shaobo & Liu, Yuchen, 2022. "Research on the efficiency of the mining industry in China from the perspective of time and space," Resources Policy, Elsevier, vol. 75(C).
    12. Xu, Chong, 2023. "Towards balanced low-carbon development: Driver and complex network of urban-rural energy-carbon performance gap in China," Applied Energy, Elsevier, vol. 333(C).
    13. Shihong Zeng & Mimi Hu & Bin Su, 2016. "Research on Investment Efficiency and Policy Recommendations for the Culture Industry of China Based on a Three-Stage DEA," Sustainability, MDPI, vol. 8(4), pages 1-15, March.
    14. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    15. Wanfang Shen & Yufei Liu & Xiaowen Liu & Jianing Shi & Wenbin Liu & Chengye Liu, 2023. "The Effect of Industrial Structure Upgrading and Human Capital Structure Upgrading on Green Development Efficiency—Based on China’s Resource-Based Cities," Sustainability, MDPI, vol. 15(5), pages 1-26, March.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    17. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    18. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    19. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    20. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.

    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:streco:v:66:y:2023:i:c:p:81-88. 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.elsevier.com/locate/inca/525148 .

    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.