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  • Jul. 18, 2025

Arid Land Geography ›› 2025, Vol. 48 ›› Issue (5): 893-904.doi: 10.12118/j.issn.1000-6060.2024.379

• Regional Development • Previous Articles     Next Articles

Spatial-temporal characteristics and influencing factors of urban ecological resilience in China

WANG Liqi1(), LI Guozhu2   

  1. 1. School of Finance and Trade, Liaoning University, Shenyang 110036, Liaoning, China
    2. School of Economics, Hebei GEO University, Shijiazhuang 050031, Hebei, China
  • Received:2024-06-17 Revised:2024-08-27 Online:2025-05-25 Published:2025-05-13

Abstract:

The systematic analysis of the factors influencing urban ecological resilience and improvement in its levels are essential for achieving sustainable urban development and fostering “resilient cities”. Based on panel data from 281 prefecture-level cities of China collected between 2005 and 2021, this study constructed evaluation indexes across three dimensions: resistance, adaptability, and resilience. The spatial and temporal evolution of urban ecological resilience were characterized, and spatial and temporal geographically weighted regression models were applied. In addition, a global trend analysis was conducted to explore the spatial and temporal heterogeneity of influencing factors. The results showed the following. (1) From 2005 to 2021, the ecological resilience level of Chinese cities increased from 0.0207 to 0.0248, with an average annual growth rate of 1.140%. Over this period, the center of gravity for ecological resilience shifted along a northeast-southwest direction. The difference in ecological resilience levels initially expanded but then narrowed. (2) Economic development, industrial structure, topographical factors, environmental regulations, and human capital demonstrated positive effects on urban ecological resilience. However, the influence of these factors exhibited obvious spatial and temporal heterogeneity, with their effects varying significantly in terms of magnitude and direction across different regions. (3) The impact of influencing factors on urban ecological resilience exhibited a greater variation along the east-west direction compared to the north-south direction. The ecological resilience was observed to be most sensitive to changes in industrial structure along the east-west direction, while environmental regulation had the greatest sensitivity along the north-south direction.

Key words: urban ecological resilience, spatiotemporal geographically weighted regression model, influencing factors, spatiotemporal heterogeneity