[Spatial Correlation Network Characteristics and Influencing Factors of Industrial Carbon Emission Efficiency of Cities in Pearl River Basin].

• DOI: 10.13227/j.hjkx.202312121
• Publication Date: 2024-12-08
• Authors: Jian Yin; Y. F. Long; Hongtao Jiang

China has experienced rapid development of urbanization and industrialization, urban industrial carbon reduction become the key to green sustainable development. Exploring emissions its spatial correlation characteristics is great importance for promoting collaborative cooperation between cities achieving "dual carbon" goal. Considering 49 in Pearl River Basin as research objects, super slacks-based measure model was used emission efficiency from 2010 2020, exploratory spatiotemporal data analysis explore pattern. On this basis, we social network quadratic assignment procedure （QAP） methods influencing factors efficiency. The results indicated that showed a downward trend. Additionally, strong imbalance heterogeneity observed. Delta Region always dominated efficiency, forming multi-level composite system with core primary component conventional auxiliary component. Economically developed cities, such Guangzhou, Shenzhen, Dongguan have long been center extensive connections other while playing an intermediary role. level urbanization, science technology, industrialization increasingly significant positive impact on strength connection networks. individual differences hierarchical characteristics. According centrality, role, clustering characteristics, combined corresponding factors, strategy formulated. This study can provide reference formulation implementation regional low-carbon strategies.