Structure characteristics and influencing factors of China's carbon emission spatial correlation network: A study based on the dimension of urban agglomerations

China faces enormous pressure to reduce carbon emissions. Since the agglomeration and driving effect of urban agglom-erations have continued to increase, relying on the network relationship within urban agglomerations to coordinate emission reduction becomes an effective way. This paper combines the modified Gravity model and Social Network Analysis method to measure the structure characteristics of carbon emission spatial correlation network of the sevenurban agglomerations as a whole and each urban agglomeration in China, analyzes the interaction mechanism betweencities and between urban agglomerations, andfinally explores the influencing factors of carbon emission spatial corre-lation through the QAP analysis method. The results are as follows: (1) As for the overall network, overall scale wasincreasing, but the hierarchical structure had a certainfirmness. YRD and PRD urban agglomerations were at the center of the network and received the spillover relationship of MRYR, CC, CP, and HC urban agglomerations. (2) As for the networks of urban agglomerations, the allocation of low-carbon resource elements still needed to be optimized, espe-cially BTH urban agglomeration. Beijing, Shanghai, Nanjing, Wuxi, etc. were at the center of the network. The influenc-ing factors and degree of carbon emission spatial correlation in each urban agglomeration were different