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Fostering Inclusive Green Growth in Chinese Cities: Investigating the Role of Artificial Intelligence

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  • Hongbo Fu

    (Asia Europe Institute, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Rajah Rasiah

    (Asia Europe Institute, University of Malaya, Kuala Lumpur 50603, Malaysia)

Abstract

In the new round of global technological revolution and industrial transformation, artificial intelligence (AI) provides an opportunity to foster urban inclusive green growth (IGG). On the basis of scientifically measuring the IGG level and AI development level of Chinese cities from 2010 to 2022, this paper systematically explores the impact and internal mechanism of AI on IGG. This study finds that AI development significantly promotes urban IGG, and this conclusion still holds after a series of robustness and endogeneity tests. The effect of AI on IGG will exhibit heterogeneity because of differences in urban characteristics such as government financial support, information infrastructure development, and innovation and entrepreneurship vitality. Mechanism test reveals that AI development fosters urban IGG through digital technology innovation and industrial structure optimization. Furthermore, AI development has a positive spatial spillover effect on IGG in neighboring cities. This study provides valuable theoretical insights and policy ideas for planning in emerging economies to promote high-quality economic development and ecological civilization through the application of AI technology.

Suggested Citation

  • Hongbo Fu & Rajah Rasiah, 2024. "Fostering Inclusive Green Growth in Chinese Cities: Investigating the Role of Artificial Intelligence," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9809-:d:1518084
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    References listed on IDEAS

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    1. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    3. Li, Chengming & Zhang, Xinyi & Dong, Xiaoqi & Yan, Qiangming & Zeng, Liangen & Wang, Zeyu, 2023. "The impact of smart cities on entrepreneurial activity: Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 81(C).
    4. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    5. Wang, Yanjun & Li, Yongfang, 2023. "Chinese economic growth and sustainable development: Role of artificial intelligence and natural resource management," Resources Policy, Elsevier, vol. 85(PB).
    6. Na Liu & Philip Shapira & Xiaoxu Yue, 2021. "Tracking developments in artificial intelligence research: constructing and applying a new search strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3153-3192, April.
    7. Irfan, Muhammad & Razzaq, Asif & Sharif, Arshian & Yang, Xiaodong, 2022. "Influence mechanism between green finance and green innovation: Exploring regional policy intervention effects in China," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. Sokolov, Alexander & Veselitskaya, Natalia & Carabias, Vicente & Yildirim, Onur, 2019. "Scenario-based identification of key factors for smart cities development policies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    9. David M. Drukker & Ingmar Prucha & Rafal Raciborski, 2013. "Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances," Stata Journal, StataCorp LP, vol. 13(2), pages 221-241, June.
    10. Li, Juan & Ma, Shaoqi & Qu, Yi & Wang, Jiamin, 2023. "The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China," Resources Policy, Elsevier, vol. 82(C).
    11. Kaiming Cheng & Xinyu Wang & Shucheng Liu & Yanjie Zhuang, 2024. "Spatial differences and dynamic evolution of economic resilience: from the perspective of China’s eight comprehensive economic zones," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    12. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
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