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Assessing the effects of extreme climate risk on urban ecological resilience in China

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Abstract

The frequent occurrence of extreme weather events has imparted significant pressure on urban ecosystem management. Evaluating the relationship between extreme climate risk (ECR) and urban ecological resilience (UER) is a key issue in achieving the green and sustainable development objectives of cities. This study measures UER in China from 2005 to 2020 using the entropy weight method–TOPSIS method, investigates the relationship between ECR and UER using the dynamic GMM model, and further explores the influencing mechanism. The results suggest that ECR has an inhibiting influence on UER. Additionally, the moderating mechanism investigation demonstrates that environmental regulation can mitigate the threat of ECR to UER to a certain extent, and with the regulation effect based on the government’s environmental concern being better than that of the market pollution fee payment. The group test outcomes demonstrate that the discrepancies in regions and marketization lead to certain differences in the relationship between ECR and UER. Additional investigation indicates that ECR has an asymmetric relationship with UER at distinct quantiles. Our findings reflect the subtle associations between ECR and UER as a whole, and will help relevant organizations in formulating more precise and scientific policies to enhance urban ecological resilience.

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Data availability

The city data was primarily obtained from China Statistical Yearbook, the China City Statistical Yearbook, and the Statistical Communiqué of National Economics. Moreover, historical climate data comes from the National Meteorological Center (http://www.nmc.cn).

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Funding

This work was supported by National Natural Science Foundation of China [No. 72091515] and the Natural Science Fund of Hunan Province (2022JJ40647) and Excellent Young Scholar Project of the Hunan Provincial Department of Education (23B0004). Certainly, all remaining errors are our own.

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Zongrun Wang: Conceptualization, Funding acquisition and Writing—Editing.

Haiqin Fu: Data Analysis, Software and Writing – Original draft preparation.

Xiaohang Ren: Methodology, Supervision and Writing –Reviewing& Editing.

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Correspondence to Xiaohang Ren.

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Wang, Z., Fu, H. & Ren, X. Assessing the effects of extreme climate risk on urban ecological resilience in China. Environ Sci Pollut Res 31, 28225–28240 (2024). https://doi.org/10.1007/s11356-024-33039-w

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  • DOI: https://doi.org/10.1007/s11356-024-33039-w

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