Spatial correlation network on synergy between carbon reduction and pollution control in key areas for air pollution prevent and control

The Chinese government aims to promote synergy between carbon reduction and pollution control (SCRPC) in key areas for air pollution prevention and control (KAPPC). This paper evaluates SCRPC in 82 KAPPC cities from 2014 to 2020 using the coupling coordination degree model. The modified gravity model and social network analysis are employed to construct the SCRPC spatial correlation network and examine its structural characteristics and driving factors. The results indicate that (1) SCRPC in KAPPC significantly increased, with notable spatial autocorrelation. (2) SCRPC spatial correlation radiates from Beijing, Zhengzhou, Nanjing, and Jinan, with a more even distribution in Shanghai and nearby cities. (3) SCRPC spatial correlation network has low density, with Zhengzhou as the largest intermediary city, showing clustering and a core-peripheral structure. (4) SCRPC spatial correlation is more likely with greater differences in economic development, green innovation, and education, and smaller differences in industrial structure, green coverage, and energy intensity. It is recommended to launch SCRPC pilot projects in Beijing, Zhengzhou, Nanjing, and Jinan, and to establish a joint SCRPC platform in Shanghai and surrounding areas. © 2025 Elsevier Ltd