Abstract

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, PM2.5 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.

Details

Title
Exploring socioeconomic and environmental coordination in the Yangtze River Delta Region using a game theory stepwise-cluster factorial coupling coordination model
Author
Sun, Jie 1 ; Xu, Mengjia 1 ; Suo, Cai 2 ; Yang, Yue 1 ; Li, Huawei 3 ; Liu, Dong 1 

 Nanjing Institute of Environmental Science, Ministry of Ecology and Environment of the People’s Republic of China, Nanjing, China (GRID:grid.464374.6) (ISNI:0000 0004 1757 8263) 
 Nanjing University of Information Science and Technology, School of Management Science and Engineering, Nanjing, China (GRID:grid.260478.f) (ISNI:0000 0000 9249 2313) 
 North China University of Water Resources and Electric Power, School of Water Resources, Zhengzhou, China (GRID:grid.412224.3) (ISNI:0000 0004 1759 6955) 
Pages
27420
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3126442552
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.