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Exploring Digital-Driven Pathways for Green and Low-Carbon Development: A Survey of Chinese Cities

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  • Huafei Yan

    (School of Management, Wuhan Institute of Technology, Wuhan 430205, China
    Research Center for Coordinated Development of Enterprises and Environment, Wuhan Institute of Technology, Wuhan 430205, China)

  • Xiaobei Li

    (School of Management, Wuhan Institute of Technology, Wuhan 430205, China)

  • Yingting Qin

    (School of Management, Wuhan Institute of Technology, Wuhan 430205, China)

Abstract

Green and low-carbon development (GLD) is central to facilitating the high-quality transitional development of economic and social sectors, as well as to the achievement of China’s “dual carbon” goals. The digital economy (DE), a burgeoning economic paradigm, serves as a potent driver for GLD by leveraging its intrinsic strengths in innovation-led growth and cross-sectoral industrial integration. Drawing on the TOE (Technology-Organization-Environment) framework, this study employs dynamic Qualitative Comparative Analysis (QCA) and regression analysis to examine panel data (2014–2023) of 44 core coastal cities in the Yangtze River Economic Belt, aiming to identify the driving paths of GLD. The research results indicate that a single dimension in the DE cannot constitute the necessary condition for regional GLD. Specifically, there are 6 configurational paths for high-level GLD (categorized into “organization-led” and “technology-organization-environment multi-driven” models) and 3 paths for low-level GLD (summarized as “three-dimensional constraint” and “technology-organization deficiency” models). In terms of the driving effect, the technology-organization-environment multi-driven configurational path exerts the strongest promotional effect on regional GLD. This study yields a valuable theoretical foundation for understanding the synergistic role of multidimensional DE elements in driving GLD, while also delivering actionable insights for local governments to identify contextually tailored GLD trajectories.

Suggested Citation

  • Huafei Yan & Xiaobei Li & Yingting Qin, 2025. "Exploring Digital-Driven Pathways for Green and Low-Carbon Development: A Survey of Chinese Cities," Sustainability, MDPI, vol. 17(21), pages 1-25, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:21:p:9452-:d:1778741
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