Sun Jie, Xu Mengjia, Suo Cai, Yang Yue, Li Huawei, Liu Dong
Nanjing Institute of Environmental Science, Ministry of Ecology and Environment of the People's Republic of China, Nanjing, 210042, China.
School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Sci Rep. 2024 Nov 9;14(1):27420. doi: 10.1038/s41598-024-77707-w.
Economic growth has brought about escalating environmental challenges. The purist of socioeconomic and environmental coordination necessitates a deep understanding of their interplay. Therefore, a game theory stepwise-cluster factorial coupling coordination model (GSFCM) has been developed to investigate the spatial and temporal patterns and driving forces of socioeconomic and environmental coordination in the Yangtze River Delta Region. Results reveal an upward in socioeconomic and environmental status from 2015 to 2020. All 41 cities in the region show progress towards coordination, coupled with spatial inequalities. Hangzhou, Shanghai, and Zhoushan demonstrate the highest coupling coordination degree (CCD), while Bozhou, Suzhou, and Fuyang located in Anhui exhibit the lowest levels. Socioeconomic factors contribute 82.98% to the enhancement of CCD, environmental factors contribute 11.05%, and their interaction accounts for 5.92%. Main drivers influencing CCD include Gross Domestic Product (GDP) per capita, the proportion of the added value of tertiary industry, PM concentration, and their interactions. Policy related to regional collaboration, industrial upgrades, and investment in environmental infrastructure are recomended to achieve a harmonious balance between economic growth and environmental protection. These insights are expected to support policy decisions in sustainable development of the region.
经济增长带来了日益严峻的环境挑战。社会经济与环境协调的纯粹主义者需要深入了解它们之间的相互作用。因此，开发了一种博弈论逐步聚类因子耦合协调模型（GSFCM）来研究长江三角洲地区社会经济与环境协调的时空格局及驱动力。结果显示，2015年至2020年社会经济和环境状况有所改善。该地区所有41个城市在协调方面都取得了进展，但存在空间不平等。杭州、上海和舟山的耦合协调度（CCD）最高，而位于安徽的亳州、宿州和阜阳的耦合协调度最低。社会经济因素对耦合协调度提升的贡献率为82.98%，环境因素为11.05%，它们的相互作用占5.92%。影响耦合协调度的主要驱动因素包括人均国内生产总值（GDP）、第三产业增加值比重、PM浓度及其相互作用。建议实施与区域合作、产业升级和环境基础设施投资相关的政策，以实现经济增长与环境保护之间的和谐平衡。这些见解有望为该地区可持续发展的政策决策提供支持。
