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The impact of artificial intelligence development on urban economic resilience: A carbon emissions perspective

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  • Zong, Gaofeng
  • Wang, Ruoyu
  • Guo, Peiyu
  • An, Qiguang

Abstract

Amid an increasingly complex global economic environment, urban economic resilience has become a critical area of academic inquiry. This study examines the relationship between artificial intelligence (AI) development and urban economic resilience in China, with particular attention to the role of carbon emissions. Using panel data from Chinese cities from 2013 to 2022, this study employs mediation effect models and threshold regression models to conduct the empirical analysis. The results show that AI development significantly enhances urban economic resilience, and this finding remains robust across a series of sensitivity tests. Moreover, AI exerts an indirect positive influence on resilience by reducing carbon emissions and facilitating industrial upgrading. The results further reveal a threshold effect: while the marginal contribution of AI to resilience diminishes at higher levels of AI development, its positive impact is amplified in regions with elevated carbon emissions.

Suggested Citation

  • Zong, Gaofeng & Wang, Ruoyu & Guo, Peiyu & An, Qiguang, 2026. "The impact of artificial intelligence development on urban economic resilience: A carbon emissions perspective," Research in International Business and Finance, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:riibaf:v:89:y:2026:i:c:s0275531926002126
    DOI: 10.1016/j.ribaf.2026.103485
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