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The coupling coordination between urbanization and urban resilience in China's major coastal urban agglomerations has continuously increased, driven positively by opening-up and the digital economy, but constrained by urban population agglomeration and government intervention with significant regional heterogeneity. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

August 30, 2026LandOpen Access

Spatiotemporal Evolution and Influencing Factors of Coupling Coordination Between Urbanization and Urban Resilience in Three Major Coastal Urban Agglomerations of China

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Authors

FLFazhi LiNanjing University of Posts and Telecommunications GZGaoli ZhuNanjing University of Finance and Economics ZCZhen ChenNanjing University of Posts and Telecommunications

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Implication

Panel study reveals divergent coupling coordination between urbanization and urban resilience across Chinese coastal agglomerations, highlighting the need for regional development policies.

Key Points

To measure the evolutionary trends and identify key driving factors of coupling coordination between urbanization and urban resilience across major coastal city clusters in China.
Evaluated 49 prefecture-level and above cities in Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) from 2013 to 2023.
Quantified coupling coordination dynamics using the CRITIC–entropy weight composite method, a coupling coordination degree model, and kernel density estimation.
Identified regional driving mechanisms and constraints using a panel fixed-effects econometric model.
Coupling coordination increased steadily through 2023, with PRD achieving the highest score (0.6650), followed by YRD (0.6315) and BTH (0.5627).
Coordination trajectories diverged into three distinct regional patterns: catch-up convergence in BTH, balanced advancement in YRD, and polarization-divergence in PRD.
Digital economy development and economic opening-up acted as universal positive drivers, whereas population agglomeration and government intervention exerted significant negative constraints, particularly in YRD and PRD.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a93f0a36c1a8fb52e79ceda https://doi.org/10.3390/land15091591

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August 30, 2026LandOpen Access

Spatiotemporal Evolution and Influencing Factors of Coupling Coordination Between Urbanization and Urban Resilience in Three Major Coastal Urban Agglomerations of China

View Full Paper

Ask AI

Bookmark

Authors

FLFazhi LiNanjing University of Posts and Telecommunications GZGaoli ZhuNanjing University of Finance and Economics ZCZhen ChenNanjing University of Posts and Telecommunications

Discussion

Member takes

Implication

Panel study reveals divergent coupling coordination between urbanization and urban resilience across Chinese coastal agglomerations, highlighting the need for regional development policies.

Key Points

To measure the evolutionary trends and identify key driving factors of coupling coordination between urbanization and urban resilience across major coastal city clusters in China.
Evaluated 49 prefecture-level and above cities in Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) from 2013 to 2023.
Quantified coupling coordination dynamics using the CRITIC–entropy weight composite method, a coupling coordination degree model, and kernel density estimation.
Identified regional driving mechanisms and constraints using a panel fixed-effects econometric model.
Coupling coordination increased steadily through 2023, with PRD achieving the highest score (0.6650), followed by YRD (0.6315) and BTH (0.5627).
Coordination trajectories diverged into three distinct regional patterns: catch-up convergence in BTH, balanced advancement in YRD, and polarization-divergence in PRD.
Digital economy development and economic opening-up acted as universal positive drivers, whereas population agglomeration and government intervention exerted significant negative constraints, particularly in YRD and PRD.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a93f0a36c1a8fb52e79ceda https://doi.org/10.3390/land15091591

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