The Impact of Urbanization Level on Urban Ecological Resilience and Its Role Mechanisms: A Case Study of Resource-Based Cities in China

Lei Suo, Linsen Zhu (), Haiying Feng and Wei Li
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Lei Suo: Beibu Gulf Ocean Development Research Center, Beibu Gulf University, Qinzhou 535011, China
Linsen Zhu: Beibu Gulf Ocean Development Research Center, Beibu Gulf University, Qinzhou 535011, China
Haiying Feng: Beibu Gulf Ocean Development Research Center, Beibu Gulf University, Qinzhou 535011, China
Wei Li: Beibu Gulf Research Institute of the New Land-Sea Corridor, Qinzhou 535011, China

Sustainability, 2025, vol. 17, issue 19, 1-28

Abstract: Against the backdrop of accelerating global urbanization and intensifying ecological pressures, investigating the relationship between urbanization levels and ecological resilience in resource-based cities has become crucial for nations striving to achieve both sustainable development and ecological conservation. Utilizing panel data from 114 resource-based cities in China between 2010 and 2023, this study innovatively employs a composite nighttime light index to measure urbanization levels and constructs a comprehensive ecological resilience index using the entropy method. By applying a double machine learning model, this study thoroughly examines the impact, mechanisms, and heterogeneity of urbanization on ecological resilience in these cities. The findings reveal a gradual increase in ecological resilience among China’s resource-based cities, with the majority reaching high resilience levels by 2023. Spatial aggregation centers are identified in eastern China, the Yangtze River Delta, and the Pearl River Delta. Moreover, urbanization demonstrates a significant positive correlation with ecological resilience, a conclusion reinforced through robustness tests. Mechanism analysis reveals that industrial structure upgrading, green technology innovation, and energy efficiency improvement serve as key transmission channels. Heterogeneity analysis indicates that urbanization exerts a more pronounced effect on enhancing ecological resilience in regenerative resource-based cities as well as those located in eastern and central regions, while its impact is relatively weaker in declining resource-based cities and those in western and northeastern regions. Finally, this study proposes policy recommendations focusing on advancing industrial structure sophistication, constructing a green technology innovation ecosystem, implementing an energy efficiency enhancement initiative, deepening region-specific governance, and adopting targeted policy interventions. These findings provide theoretical support for precise policy formulation in resource-based cities and contribute to advancing academic understanding of the relationship between sustainable development and ecological resilience in such regions.

Keywords: urbanization; urban ecological resilience; resource-based cities; impact mechanism; double machine learning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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