[Spatial Correlation and Optimization Zoning of Carbon Emission from Land Use in Guangdong Province from the Perspective of Social Network Analysis].

Considering the spatial spillover effects of carbon emissions， scientifically analyzing the spatiotemporal evolution of land use carbon emissions and the characteristics of spatial correlation network structures has great guiding significance for the formulation of differentiated emission reduction strategies and the realization of the "dual carbon" goals. This paper takes Guangdong Province as the research object and analyzes the spatiotemporal evolution characteristics of land use carbon emissions in the province from 2000 to 2020 from the perspective of social network analysis. It also conducts a study on the spatial correlation network analysis of land use carbon emissions and carbon balance optimization zoning. The study reveals several important results： ① In the past 20 years， the amount of land use carbon emissions in Guangdong Province has increased significantly， showing an overall distribution characteristic of being higher in the central part and lower around the periphery of the province. ② The carbon ecological carrying capacity of Guangdong Province presents a "core-periphery" structure with a gradual increase from the center to the outside. The cities in the Pearl River Delta face greater carbon emission pressure， whereas the northern and western regions have stronger carbon sink functions. ③ Guangzhou， Shenzhen， and Dongguan play a core role in the network， fully receiving spillovers from other sectors and serving as net benefit sectors. The eastern， western， and northern cities， located on the edge， have become net spillover sectors. Zhongshan， Zhuhai， and Foshan act as economic sectors， playing a key "bridge" role. The connectivity and network stability of land use carbon emissions among cities are gradually strengthening. ④ Guangdong Province is divided into five carbon balance zones， a carbon concentration zone， carbon regulation zone， high-carbon optimization zone， linkage carbon emission zone， and low-carbon development zone， along with multiple core city areas and action city areas. Based on the characteristics of the different zones， differentiated measures for emission reduction and efficiency enhancement are proposed. The research results provide some references for optimizing the territorial spatial structure and promoting regional collaborative low-carbon development in Guangdong Province.