在城市气候风险加剧的背景下，城市内涝灾害带来了严重的社会经济损失，提升城市韧性以保障城市系统应对各种内外部风险冲击的能力是城市建设领域的重要议题之一。作为新型的城市治理模式，智慧城市建设旨在通过智能化、数字化技术解决快速城市化带来的资源紧张、管理低效、环境污染等问题，推动城市的可持续发展。然而，在政策实施的过程中，城市的智慧化建设是否可以降低城市系统的暴雨内涝风险值？本研究基于多源大数据对全国180个地级市进行分析评估，运用遥感影像分析、主成分分析、ArcGIS空间叠加分析等方法，基于联合国气候变化专门委员会(IPCC)提出的基于气候风险评估的适应决策框架，即“危害性-暴露度-脆弱性-适应性”框架，以评估这些城市的暴雨内涝风险指数。结果发现，全国暴雨内涝风险呈现出显著的海陆梯度效应，并且随时间变化，内涝风险值呈现显著的下降趋势。而后，本研究选取三期智慧城市建设试点的2007-2019年180个地级城市的面板数据，利用渐进双重差分方法评估了智慧城市建设对城市内涝韧性的影响。实证发现：(1)相比非试点城市，智慧城市试点政策实施显著降低了试点城市的内涝风险，且该结论在事件分析法、排除同期政策干扰、安慰剂检验等多项稳健性检验后依然成立。(2)通过异质性分析可得：随着湿润程度增加，智慧城市试点政策降低城市暴雨内涝风险值的政策效果逐渐减弱；人口规模较大的城市政策效应较弱；非省会城市的政策效果显著优于省会城市。最后，本文提出了城市应对暴雨内涝风险的气候适应性规划治理的政策建议，以期提升我国的城市建设水平。

Against the backdrop of intensifying urban climate risks, flooding disasters have incurred substantial socioeconomic losses. Enhancing urban resilience to strengthen cities' capacity in coping with diverse shocks has emerged as a vital issue in urban development. Smart city initiatives employ intelligent and digital technologies to address challenges stemming from rapid urbanization. However, in the process of policy implementation, can the smart city development reduce the urban system's risk of rainstorm waterlogging? This study conducts a comprehensive evaluation of 180 prefecture-level cities across China using multi-source big data, incorporating methodologies such as remote sensing image analysis, principal component analysis, and ArcGIS spatial overlay techniques. Grounded in the IPCC's climate risk assessment framework - the "Hazard-Exposure-Vulnerability- Adaptive Capacity" paradigm - we develop a pluvial flooding risk index. Our findings reveal a distinct coastal-inland gradient in nationwide flooding risks, with a statistically significant declining trend observed temporally. Utilizing panel data from three batches of smart city pilot programs (2007-2019) and employing a staggered difference-in-differences approach, we assess the policy impact on urban flooding resilience. Empirical results demonstrate that: (1) smart city implementation significantly reduces flooding risks in treatment cities compared to non-pilot cities, with robustness confirmed through event studies, concurrent policy exclusion tests, and placebo examinations; (2) Heterogeneity analysis indicates diminishing policy effectiveness along increasing humidity gradients, weaker impacts in larger cities, and superior performance in non-provincial capitals versus provincial capitals. The study concludes with evidence-based recommendations for climate-adaptive urban governance strategies to mitigate pluvial flooding risks, providing valuable insights for urban development policy optimization in China.

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