IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i16p7439-d1726384.html

The Spatiotemporal Patterns and Driving Mechanism of the Synergistic Effects in Industrial Green Production

Author

Listed:
  • Chuang Li

    (Research Center for Energy Economics, Henan Polytechnic University, Jiaozuo 454000, China
    School of Business Administration, Jimei University, Xiamen 361021, China)

  • Hui Deng

    (Research Center for Energy Economics, Henan Polytechnic University, Jiaozuo 454000, China)

  • Liping Wang

    (Finance and Economics College, Jimei University, Xiamen 361021, China)

Abstract

Making full utilisation of the synergies that exist among the various stages of industrial green production is beneficial to the realisation of the dual-carbon goal. However, the synergistic effects among the three stages of industrial green production have not yet been explored in depth from a microscopic perspective. Based on the analytic hierarchy process, the entropy weighting method, the coupled synergy degree model, the spatial autocorrelation test, and the geographically weighted regression model (GWR), the spatiotemporal evolution characteristics and driving mechanism of the synergistic effects among the three stages of industrial green production were explored by utilising the relevant data of industrial enterprises in 30 provinces of China from 2012 to 2022. The results showed that the synergistic effect of industrial green production exhibited an upward trend over time, and displayed a regional distribution characteristic of decreasing from east to west. The spatial differences in the synergistic effects of industrial green production gradually narrowed and the number of provinces with high–high (H-H) agglomerations increased. The level of digital economy development, the urbanisation level, the optimisation of industrial structure, the level of green credit, and the intensity of environmental regulation were the main driving factors for the synergistic effects of industrial green production, and there were significant spatial differences. This study provides a basis for the formulation of differentiated regional green development policies from the perspective of synergizing the various stages of industrial green production.

Suggested Citation

  • Chuang Li & Hui Deng & Liping Wang, 2025. "The Spatiotemporal Patterns and Driving Mechanism of the Synergistic Effects in Industrial Green Production," Sustainability, MDPI, vol. 17(16), pages 1-23, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7439-:d:1726384
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/16/7439/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/16/7439/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Genglin Dong & Ying Huang & Cuiping Liao & Daiqing Zhao & Peng Wang & Changlong Sun, 2025. "Analysis of the Environmental and Economic Impacts of Industrial Restructuring and Identification of Key Sectors Based on an Industrial Correlation Perspective," Sustainability, MDPI, vol. 17(3), pages 1-23, January.
    2. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    3. Hong Wu & Xuewei Wen, 2025. "Research on the Efficiency and Synergistic Effect of Industrial Green Innovation Development in the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 17(3), pages 1-28, February.
    4. Cheng, Yuanyuan & Du, Kerui & Yao, Xin, 2024. "Restructuring and relocation of polluting industries under air pollution control: Evidence from industrial investment flows between Chinese cities," China Economic Review, Elsevier, vol. 83(C).
    5. Mehmood, Khalid & Kautish, Pradeep & Mehrotra, Ankit & Alofaysan, Hind & Papa, Armando, 2025. "Forging sustainable synergies: Unleashing fintech-driven supply chain collaboration for enhanced green supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
    6. Gao, Qiang & Cheng, Changming & Sun, Guanglin, 2023. "Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    7. Kyrylo Vadurin & Andrii Perekrest & Volodymyr Bakharev & Vira Shendryk & Yuliia Parfenenko & Sergii Shendryk, 2025. "Towards Digitalization for Air Pollution Detection: Forecasting Information System of the Environmental Monitoring," Sustainability, MDPI, vol. 17(9), pages 1-36, April.
    8. Han, Xinyu & Cai, Qihua, 2024. "Environmental regulation, green credit, and corporate environmental investment," Innovation and Green Development, Elsevier, vol. 3(3).
    9. Henriette Ruhrmann & Michael Fritsch & Loet Leydesdorff, 2022. "Synergy and policy-making in German innovation systems: Smart Specialisation Strategies at national, regional, local levels?," Regional Studies, Taylor & Francis Journals, vol. 56(9), pages 1468-1479, September.
    10. Yang, Zhenbing & Fan, Meiting & Shao, Shuai & Yang, Lili, 2017. "Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis," Energy Economics, Elsevier, vol. 68(C), pages 271-282.
    11. Zhao, Yingying & Wang, Shanshan & Gao, Gengyu & Wu, Yuhang & Zhang, Ruiqin, 2025. "Integrated optimization model to explore the green transformation of energy-intensive industrial parks from environmental-economic perspectives," Energy, Elsevier, vol. 325(C).
    12. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "The Effects of Urbanisation on Green Growth within Sustainable Development Goals," Land, MDPI, vol. 12(2), pages 1-16, February.
    13. Xiaohua Yu & Yuan Qi & Longzhen Yu & Yuanyuan He, 2022. "Temporal and Spatial Evolution of Coupling Coordination Degree of Industrial Innovation Ecosystem—From the Perspective of Green Transformation," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    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. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.
    2. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    3. Ren, Shenggang & Hu, Yucai & Zheng, Jingjing & Wang, Yangjie, 2020. "Emissions trading and firm innovation: Evidence from a natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    4. Qiu Peiyao & Zhang Runze, 2024. "The Impact of Blockchain Technology Applications on Enterprise Innovation in the Digital Economy Era: An Empirical Test Based on a PSM-DID Model," SAGE Open, , vol. 14(3), pages 21582440241, August.
    5. Yu, Rong & Li, Jianhong, 2024. "Does fintech influence sustainable development under natural resource constraints: insights from 270 Chinese cities," Resources Policy, Elsevier, vol. 91(C).
    6. Nie, Yongyou & Cheng, Dandan & Liu, Kui, 2020. "The effectiveness of environmental authoritarianism: Evidence from China's administrative inquiry for environmental protection," Energy Economics, Elsevier, vol. 88(C).
    7. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    8. Xiao, Yao & Xiang, Rong & Sun, Yong-lei & Chen, Jin & Hao, Yun-hong, 2025. "Digital disruption, knowledge and collaborative networks and green innovation in China manufacturing transformation," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
    9. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).
    10. Samuel Fekiač & Iveta Hajdúchová & Roman Dudík & Kim Hortenská & Martin Halász, 2025. "Proposal of a conceptual framework for creating a model for the implementation of green growth indicators in the conditions of the Slovak Republic," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 71(8), pages 373-383.
    11. Jun Bai & Shixiang Li & Nan Wang & Jianru Shi & Xianmin Li, 2020. "Spatial Spillover Effect of New Energy Development on Economic Growth in Developing Areas of China—An Empirical Test Based on the Spatial Dubin Model," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    12. Chu, Baoju & Dong, Yizhe & Liu, Yaorong & Ma, Diandian & Wang, Tianju, 2024. "Does China's emission trading scheme affect corporate financial performance: Evidence from a quasi-natural experiment," Economic Modelling, Elsevier, vol. 132(C).
    13. Wang, Jun-Zhuo & Feng, Gen-Fu & Chang, Chun-Ping, 2024. "How does political instability affect renewable energy innovation?," Renewable Energy, Elsevier, vol. 230(C).
    14. Dong, Hao & Zheng, Yingrong & Tang, Yuhong, 2024. "Impact of FinTech on the industrial structural transformation: Evidence from China's resource-based cities," Resources Policy, Elsevier, vol. 91(C).
    15. Shiwei Yu & Xing Hu & Xuejiao Zhang & Zhenxi Li, 2019. "Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China," Energy & Environment, , vol. 30(5), pages 776-799, August.
    16. Wu, Tao & Xu, Wenxuan & Kung, Chih-Chun, 2025. "The impact of data elements on urban sustainable development: Evidence from the big data policy in China," Technology in Society, Elsevier, vol. 81(C).
    17. repec:osf:socarx:nftv3_v1 is not listed on IDEAS
    18. Jianjun Sun & Nannan Zu & Chao Zhang, 2025. "Big data and firm greenwashing: evidence from China’s national big data comprehensive pilot zone," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
    19. Nino Stameski & Magdalena Radulescu & Vera Zelenović & Vera Mirović & Branimir Kalaš & Nataša Pavlović, 2024. "Investigating the Effects of Environmental Tax Revenues on Economic Development: The Case of Nordic Countries," Sustainability, MDPI, vol. 16(18), pages 1-17, September.
    20. Ge, Shilong & Luo, Xiaodan & Li, Yuangang & Zheng, Lanxing, 2024. "The impact of green credit policy on total factor productivity of enterprises," International Review of Economics & Finance, Elsevier, vol. 95(C).
    21. Li, Qiangyi & Zeng, Fu'e & Liu, Shaohui & Yang, Mian & Xu, Fei, 2021. "The effects of China's sustainable development policy for resource-based cities on local industrial transformation," Resources Policy, Elsevier, vol. 71(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jsusta:v:17:y:2025:i:16:p:7439-:d:1726384. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.