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Influence Mechanism of Digital Economy on Urban Green Development Efficiency: A Perspective on New Quality Productive Forces

Author

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  • Xianmin Li

    (School of Public Administration, China University of Geosciences, Wuhan 430000, China)

  • Shixiang Li

    (School of Public Administration, China University of Geosciences, Wuhan 430000, China
    Key Laboratory of Rule of Law, Ministry of Natural Resources, China University of Geosciences, Wuhan 430000, China)

  • Qiaosheng Wu

    (School of Economics and Management, China University of Geosciences, Wuhan 430000, China)

  • Jinhua Cheng

    (School of Economics and Management, China University of Geosciences, Wuhan 430000, China)

Abstract

Improving the efficiency of green development is a crucial step towards achieving the “dual carbon” goal and promoting regional sustainable development. Currently, China has made a decision to foster new quality productive forces, aiming at upgrading traditional productive forces by digitization, which brings new opportunities for urban green transformation. Drawing upon a perspective from new quality productive forces, this paper constructs a framework of impact mechanism about “production factors–productivity–production relations” and uses 108 cities in the Yangtze River Economic Belt to investigate the impact effects, mechanisms, and disparities of the digital economy on urban green development. The research findings indicate the following: (1) The digital economy has a nonlinear influence on green development, with a critical value of 0.149. The conclusion still valid after “Utest” and robustness checks. (2) With the new strategy, digital economy indirectly influences urban green process through nonlinear mediating effects of green technology and green finance, as well as linear mediating effects of resource allocation and industrial structure. (3) There are notable effects heterogeneity across urban agglomerations and individual cities, as well as between resource-based and non-resource-based cities. (4) Furthermore, the policy intensity exerts a stage enhancing effect on the influence. With the promotion of digital policies such as Broadband China , the influence shows a phased increasing trend. The research provides valuable insights for harnessing new quality productive forces to power the digital economy and regional green transformation.

Suggested Citation

  • Xianmin Li & Shixiang Li & Qiaosheng Wu & Jinhua Cheng, 2025. "Influence Mechanism of Digital Economy on Urban Green Development Efficiency: A Perspective on New Quality Productive Forces," Sustainability, MDPI, vol. 17(10), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4539-:d:1656988
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    References listed on IDEAS

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    1. Sun, Guanglin & Yin, Ding & Kong, Tao & Yin, Lei, 2024. "The impact of the integration of the digital economy and the real economy on the risk of stock price collapse," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    2. Sun, Guanglin & Fang, Jiming & Li, Jinning & Wang, Xiaolin, 2024. "Research on the impact of the integration of digital economy and real economy on enterprise green innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. Tao, Chang-Qi & Yi, Meng-Ying & Wang, Chang-Song, 2023. "Coupling coordination analysis and Spatiotemporal heterogeneity between data elements and green development in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1-15.
    4. Miao, Xin & Chen, Mingkun & Tu, Jiayin & Tian, Yuze & Hao, Yu, 2024. "The environmental consequences of industrial agglomeration: New evidence from city-level data in China," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 630-645.
    5. Ma, Li & Li, Xiumin & Pan, Yu, 2024. "Employee allocation efficiency in the context of the digital economy: Evidence from “Broadband China” demonstration cities," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 735-752.
    6. Sixu Wu & Panpan Wang & Bindong Sun, 2024. "Internet, transportation infrastructure and the spatial structure of urban employment in China," Regional Studies, Taylor & Francis Journals, vol. 58(5), pages 1033-1046, May.
    7. Liu, Hui & Chen, Donglin, 2024. "Asymmetrical impact of natural resources and the digital economy on green growth in the top five Asian knowledge-based economies," Resources Policy, Elsevier, vol. 88(C).
    8. Karlilar, Selin & Balcilar, Mehmet & Emir, Firat, 2023. "Environmental sustainability in the OECD: The power of digitalization, green innovation, renewable energy and financial development," Telecommunications Policy, Elsevier, vol. 47(6).
    9. Yue Li & Chen Zou & Yongchun Huang & Anwei Wan, 2025. "Environmental Regulation, Green Innovation, and Corporate Brand Value," Sustainability, MDPI, vol. 17(8), pages 1-23, April.
    10. Schlör, Holger & Venghaus, Sandra, 2022. "Measuring resilience in the food-energy-water nexus based on ethical values and trade relations," Applied Energy, Elsevier, vol. 323(C).
    11. Chatzistamoulou, Nikos, 2023. "Is digital transformation the Deus ex Machina towards sustainability transition of the European SMEs?," Ecological Economics, Elsevier, vol. 206(C).
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