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Emerging technologies play a pivotal role in enabling cities to mitigate climate change and enhance climate resilience. However, there remains a critical research gap regarding how artificial intelligence (AI), as a novel tool, can contribute to urban climate resilience. This study adds to the research literature on emerging technologies and urban governance by analysing the impact of AI technology development on urban climate resilience through a theoretical framework of technological innovation systems (TIS). This study employs causal inference methodology, and the empirical results reveal that AI significantly enhances climate resilience (CR), particularly in regions characterized by advanced digital economies, high economic density, and robust urban innovation capacity. Moreover, the effect of AI on CR exhibits regional heterogeneity. These findings reveal that the effectiveness of system functions is moderated by regional economic characteristics such as digital economy and economic density, as well as external extreme weather, validating the applicability of TIS theory in the field of climate resilience. Among them, this paper identifies the causes of failures in AI technology development across different regions, providing differentiated policy recommendations for TIS policy intervention targets, which goes beyond the generalized policy suggestions in traditional theories.
Huang et al. (Fri,) studied this question.
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