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The Nonlinear and Spatial Effects of Digital Economy on Regional Green Development Efficiency: Empirical Evidence From 30 Provinces in China

Author

Listed:
  • Qiong Zheng
  • Yingjuan Su
  • Changshuai Cao

Abstract

Digital economy (DE), driven by digital technology, enhances digitalisation, networking and intelligence of the economy and society by integrating it with the real economy. Based on network effects theory, this study examines how DE empowers regional green development efficiency (GDE) and explores its mediating role in addressing the contradiction between environmental protection and economic development. Using data from 30 provinces in China from 2008 to 2021, this study empirically examines the impact of DE on regional GDE from multiple perspectives. This study finds that (1) DE directly promotes the regional GDE and produces positive spatial spillover effects. All four dimensions of the DE can enhance the regional GDE. The driving effect size is in the order of digital technology (DT) > digital foundation (DF) > digital platform (DP) > digital inclusive finance (DIF); (2) A ‘U’‐shaped relationship exists between the DE and regional GDE, initially inhibiting efficiency but actively promoting it once a threshold of approximately 51% is exceeded; (3) The mechanism test shows that the DE effectively improves regional GDE by advancing regional green technology; and (4) The test based on regional heterogeneity shows that the impact of the DE on regional GDE differs significantly based on regional income disparities. These results provide strong theoretical support for DE in sustainably empowering regional green development in China. To enhance DE's impact on GDE, the central government should promote spatial policy interconnection, while local governments tailor strategies to their development needs for effective structural and efficiency transformation.

Suggested Citation

  • Qiong Zheng & Yingjuan Su & Changshuai Cao, 2026. "The Nonlinear and Spatial Effects of Digital Economy on Regional Green Development Efficiency: Empirical Evidence From 30 Provinces in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 350-367, January.
    • Handle: RePEc:wly:ijfiec:v:31:y:2026:i:1:p:350-367
    DOI: 10.1002/ijfe.3146
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    References listed on IDEAS

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    1. Ren, Jianyu & Xu, Zhitao & Hu, Mingzhi, 2023. "Digital economy and settlement intention of migrants in urban China," Telecommunications Policy, Elsevier, vol. 47(10).
    2. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    3. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years," NBER Working Papers 16138, National Bureau of Economic Research, Inc.
    4. Wang, Jiangquan & Ma, Xiaowei & Zhang, Jun & Zhao, Xin, 2022. "Impacts of digital technology on energy sustainability: China case study," Applied Energy, Elsevier, vol. 323(C).
    5. Krzysztof Bartczak, 2021. "Digital Technology Platforms as an Innovative Tool for the Implementation of Renewable Energy Sources," Energies, MDPI, vol. 14(23), pages 1-18, November.
    6. Yelena D. Vaisman & Natalya S. Nikiforova, 2018. "Development of Industrial Enterprises' Dynamic Capabilities in the Digital Economy," Journal of New Economy, Ural State University of Economics, vol. 19(3), pages 126-136, June.
    7. Fengqin Qin, 2022. "Fiscal Expenditure Structure, Vertical Fiscal Imbalance and Environmental Pollution," IJERPH, MDPI, vol. 19(13), pages 1-21, July.
    8. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Zisong Sun & Changshuai Cao & Zhengxia He & Chao Feng, 2023. "Examining the Coupling Coordination Relationship between Digital Inclusive Finance and Technological Innovation from a Spatial Spillover Perspective: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(4), pages 1219-1231, March.
    10. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    11. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
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