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The Green Effect of Digital Intelligence in Chinese Cities: An Empirical Investigation Based on Big Data and Machine Learning Methods

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  • Chao Gao

    (School of Economics and Management, Changsha University of Science & Technology, Changsha 410076, China)

  • Jiayu Fang

    (School of Economics and Trade, Hunan University, Changsha 410079, China)

Abstract

In the digital economy era, digitalization and intelligent technologies have profoundly influenced regional green development. This study uses data from 277 prefecture-level and above cities in China spanning the years 2011 to 2022 and employs a two-way fixed effects model along with machine learning techniques to explore the effect of digital intelligence on regional green development. We find that digital intelligence primarily drives regional green development. Positive impacts show a steady upward trend from 2011 to 2022 and predominate in eastern regions, large cities, and non-resource-dependent cities, while adverse effects are more prevalent in small and resource-dependent cities. Effect magnitude scales with green development levels, exhibiting monotonic amplification. Mechanism tests indicate that digital intelligence improves regional green development by promoting green technological innovation, advancing the industrial structure, and strengthening environmental protection.

Suggested Citation

  • Chao Gao & Jiayu Fang, 2025. "The Green Effect of Digital Intelligence in Chinese Cities: An Empirical Investigation Based on Big Data and Machine Learning Methods," Sustainability, MDPI, vol. 17(15), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:15:p:6728-:d:1708774
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    as
    1. Su, Yingliang & Wu, Jiahua, 2024. "Digital transformation and enterprise sustainable development," Finance Research Letters, Elsevier, vol. 60(C).
    2. Lene Kromann & Nikolaj Malchow-Møller & Jan Rose Skaksen & Anders Sørensen, 2020. "Automation and productivity—a cross-country, cross-industry comparison," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(2), pages 265-287.
    3. Pu, Song & Xia, Chang, 2024. "Hybrid model for evaluating the transformation of China’s resource-based cities," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    4. Yizhou Wu & Xiaomin Chen, 2024. "A Spatiotemporal Evolution and Pathway Analysis of Rural Development Efficiency: A Case Study of the Yangtze River Delta," Sustainability, MDPI, vol. 16(15), pages 1-17, July.
    5. Daojun Li & Haiqin Wang & Juan Wang, 2024. "Artificial Intelligence and Technological Innovation: Evidence from China’s Strategic Emerging Industries," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
    6. Xu, Chao & Sun, Guanglin & Kong, Tao, 2024. "The impact of digital transformation on enterprise green innovation," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 1-12.
    7. Raffaele Cioffi & Marta Travaglioni & Giuseppina Piscitelli & Antonella Petrillo & Fabio De Felice, 2020. "Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions," Sustainability, MDPI, vol. 12(2), pages 1-26, January.
    8. Liu, Yuandan & Tang, Tingfeng & Ah, Ranran & Luo, Limin, 2024. "Has digital technology promoted the restructuring of global value chains? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 269-280.
    9. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    10. Siewers, Samuel & Martínez-Zarzoso, Inmaculada & Baghdadi, Leila, 2024. "Global value chains and firms’ environmental performance," World Development, Elsevier, vol. 173(C).
    11. Gasparini, Matteo & Ives, Matthew C. & Carr, Ben & Fry, Sophie & Beinhocker, Eric, 2024. "Model-based financial regulations impair the transition to net-zero carbon emissions," LSE Research Online Documents on Economics 122630, London School of Economics and Political Science, LSE Library.
    12. Tao, Weiliang & Weng, Shimei & Chen, Xueli & ALHussan, Fawaz Baddar & Song, Malin, 2024. "Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China," Energy Economics, Elsevier, vol. 136(C).
    13. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    14. Siyu Ren & Yu Hao & Haitao Wu, 2023. "Digitalization and environment governance: does internet development reduce environmental pollution?," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 66(7), pages 1533-1562, June.
    15. Ferreira, Jorge & Coelho, Arnaldo & Moutinho, Luiz, 2020. "Dynamic capabilities, creativity and innovation capability and their impact on competitive advantage and firm performance: The moderating role of entrepreneurial orientation," Technovation, Elsevier, vol. 92.
    16. Lin, Boqiang & Zhou, Yicheng, 2022. "Measuring the green economic growth in China: Influencing factors and policy perspectives," Energy, Elsevier, vol. 241(C).
    17. El-Kassar, Abdul-Nasser & Singh, Sanjay Kumar, 2019. "Green innovation and organizational performance: The influence of big data and the moderating role of management commitment and HR practices," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 483-498.
    18. Rui Xie & Siling Yao & Feng Han & Jiayu Fang, 2019. "Land Finance, Producer Services Agglomeration, and Green Total Factor Productivity," International Regional Science Review, , vol. 42(5-6), pages 550-579, September.
    19. Ding-Yi Zhao & Yu-Yu Ma & Hung-Lung Lin, 2022. "Using the Entropy and TOPSIS Models to Evaluate Sustainable Development of Islands: A Case in China," Sustainability, MDPI, vol. 14(6), pages 1-25, March.
    20. Limin Zou & Wan Li & Hongyi Wu & Jiawen Liu & Peng Gao, 2024. "Measuring Corporate Digital Transformation: Methodology, Indicators and Applications," Sustainability, MDPI, vol. 16(10), pages 1-15, May.
    21. Matteo Gasparini & Matthew C. Ives & Ben Carr & Sophie Fry & Eric Beinhocker, 2024. "Model-based financial regulations impair the transition to net-zero carbon emissions," Nature Climate Change, Nature, vol. 14(5), pages 476-481, May.
    22. Shang, Yuping & Sang, Shenghu & Tiwari, Aviral Kumar & Khan, Salahuddin & Zhao, Xin, 2024. "Impacts of renewable energy on climate risk: A global perspective for energy transition in a climate adaptation framework," Applied Energy, Elsevier, vol. 362(C).
    23. Peng, Zihao & Huang, Yiqi & Liu, Luanhong & Xu, Wanli & Qian, Xihong, 2024. "How government digital attention alleviates enterprise financing constraints: An enterprise digitalization perspective," Finance Research Letters, Elsevier, vol. 67(PB).
    24. Yang, Xiyue & Chen, Hui & Li, Baoxi & Jia, Danning & Ahmad, Mahmood, 2025. "The relationship between artificial intelligence, geopolitical risk, and green growth: Exploring the moderating role of green finance and energy technology," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    25. Jinguo Xin & Kun Du & Yuqi Xia, 2024. "The Impact of Enterprise Digital Transformation on Audit Fees—An Intermediary Role Based on Information Asymmetry," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    26. Cheng, Manli & Wang, Junbo & Yang, Shanlin & Li, Qiang, 2024. "The driving effect of technological innovation on green development: From the perspective of efficiency," Energy Policy, Elsevier, vol. 188(C).
    27. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    28. Peng Li & Yaofu Ouyang, 2020. "Technical Change and Green Productivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 271-298, July.
    29. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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