Research on synergistic carbon emission reduction effect in China and “Belt and Road” countries: A perspective from social network analysis
摘要
Reducing carbon emissions in China and “Belt and Road” countries (BCEs) is crucial to curbing global warming. This study examines carbon emission dynamics in 134 China and “Belt and Road” countries (CABs) using social network analysis (SNA) to characterize network structure and an exponential random graph model (ERGM) to identify the factors influencing network formation. The results are as follows: (1) The status of countries in the BCEs network is becoming more equal. (2) The correlation of BCEs is increasing, indicating significant potential for further development. The spatial correlation network of BCEs exhibits small-world characteristics, which are gradually weakening. (3) The synergistic capacity of BCEs is influenced by bidirectional reciprocal relationships, national attributes, and external environments. This study provides a comprehensive assessment of the synergistic carbon emission reduction capacity of CABs and discusses the factors affecting this capacity. It offers valuable insights for formulating differentiated and synergistic carbon emission reduction policies.