“…At present, studies on the spatial association of carbon emissions between regions can be divided into two categories, one is to use spatial measurement (Tan et al, 2016;Marbuah and Amuakwa-Mensah, 2017;Han et al, 2018) method, such as using SDM model (Min and Tao, 2022), SBM model (Liu et al, 2021;Niu et al, 2022) The spatial dependence of carbon emissions (Xianzhao et al, 2019) and spatial spillover (Shengdong et al, 2022;Xiaoyu et al, 2022) or through spatial autocorrelation models (Zhang and Lei, 2023) spatial autocorrelation model, etc., To characterize the spatial and temporal evolution of carbon emissions (Ahui et al, 2022;Chen et al, 2023). Another approach is to use social network analysis (Tengfei et al, 2022) The other is to use social network analysis to study the structure of carbon emission linkage network, mostly based on national (Ma et al, 2021) and provincial (YANG et al, 2016) energy, industry (Shao and Wang, 2021).…”