[Spatial Correlation Networks and Influencing Factors of Inter-provincial Carbon Peak and Carbon Neutrality Capacity in China].

Carbon peaking and carbon neutrality are key issues in climate change research. This study constructed a novel Five-in-One Carbon （5C） Framework to evaluate the provincial carbon peak and carbon neutrality capabilities （CPCN） in China from 2010 to 2021. Additionally， social network analysis （SNA） and quadratic assignment procedure （QAP） methods were used to reveal the structural characteristics and influencing factors of the CPCN spatial correlation network. The results indicated that： ① Provincial CPCN steadily increased over the study period. In terms of CPCN distribution， the eastern region was the strongest， followed by the central region， while the western region was weaker， and the northeastern region was the weakest. ② CPCN improvements primarily relied on enhancing resource efficiency， decarbonizing economic structure， and carbon sequestration in ecosystems. ③ The network structure of CPCN was stable with high density and efficiency， with eastern provinces occupying core positions and enhanced cross-regional cooperation. ④ The spatial correlation network of CPCN could be divided into three types of plates： net benefits， brokers， and net spillovers， characterized by limited internal connections within plates and close inter-plate correlations. ⑤ Environmental regulation， new quality productive forces， urbanization level， green innovation patents， digital economy， fiscal decentralization， geographical adjacency， and cultural dissemination significantly influenced the formation and development of the spatial correlation network of CPCN， whereas industrial structure had no significant impact.