| Autor: |
Yin J; Center for Western China Modernization, Guizhou University of Finance and Economics, Guiyang 550025, China.; College of Big Data Application and Economic, Guizhou University of Finance and Economics, Guiyang 550025, China., Long YY; Center for Western China Modernization, Guizhou University of Finance and Economics, Guiyang 550025, China.; College of Big Data Application and Economic, Guizhou University of Finance and Economics, Guiyang 550025, China., Jiang HT; Center for Western China Modernization, Guizhou University of Finance and Economics, Guiyang 550025, China.; College of Big Data Application and Economic, Guizhou University of Finance and Economics, Guiyang 550025, China. |
| Jazyk: |
čínština |
| Zdroj: |
Huan jing ke xue= Huanjing kexue [Huan Jing Ke Xue] 2024 Dec 08; Vol. 45 (12), pp. 6806-6817. |
| DOI: |
10.13227/j.hjkx.202312121 |
| Abstrakt: |
China has experienced rapid development of urbanization and industrialization, and urban industrial carbon reduction has become the key to green and sustainable development. Exploring urban industrial carbon emissions and its spatial correlation characteristics is of great importance for promoting collaborative cooperation between cities and achieving the "dual carbon" goal. Considering 49 cities in the Pearl River Basin as research objects, the super slacks-based measure model was used to measure the urban industrial carbon emission efficiency from 2010 to 2020, and exploratory spatiotemporal data analysis was used to explore its spatial pattern. On this basis, we used social network analysis and quadratic assignment procedure （QAP） methods to explore the spatial correlation network characteristics and influencing factors of urban industrial carbon emission efficiency. The results indicated that the industrial carbon emission efficiency of the Pearl River Basin showed a downward trend. Additionally, a strong spatial imbalance and heterogeneity was observed. The Pearl River Delta Region always dominated the spatial correlation network of carbon emission efficiency, forming a multi-level composite network system with the core network as the primary component and the conventional network as the auxiliary component. Economically developed cities, such as Guangzhou, Shenzhen, and Dongguan have long been in the center of the network and have extensive connections with other cities, while playing an intermediary role. The level of urbanization, science and technology, and industrialization have an increasingly significant positive impact on the strength of the connection between urban industrial carbon emission networks. The Pearl River Basin industrial carbon emission efficiency network has significant individual differences and hierarchical characteristics. According to the individual centrality, network role, and clustering characteristics, combined with the corresponding influencing factors, the Pearl River Basin urban collaborative carbon emission reduction strategy was formulated. This study can provide reference for the formulation and implementation of regional low-carbon collaborative development strategies. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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