南通大学学报（自然科学版）2023，Vol.22Issue(4)：50-61,12.DOI:10.12194/j.ntu.20221207008
复杂网络视角下我国居民能源消费碳排放的空间关联分析
Spatial correlation analysis of carbon emissions from residential energy consumption in China from the perspective of complex networks
摘要
Abstract
How to achieve the dual carbon goals of"peak carbon and carbon neutrality"and promote the development of a low-carbon economy has become a major issue that needs to be addressed in China's economic and social devel-opment.In the perspective of complex networks,based on the carbon emissions data of residential energy consump-tion in China's provincial regions from 2005 to 2020,spatial econometrics and social network analysis methods are used to study the spatial correlation of residential energy consumption carbon emissions in China from both spatial dis-tribution and network association aspects.The results show that the carbon emissions from residential energy consump-tion in China exhibit obvious spatial clustering,with significant high-high clustering and low-low clustering among provincial regions,demonstrating positive spatial autocorrelation.Moreover,the spatial correlation of residential ener-gy consumption carbon emissions in China is not only related to geographical distance but also exhibits a complex net-work structure.The degree of spatial correlation of carbon emissions from residential energy consumption decreases from the eastern,central,to western regions of China,with the eastern coastal provinces serving as network centers exerting strong control over other provinces,while the provinces in the central and western regions are located at the network periphery and have weaker control over other provinces.The findings can provide effective references for rel-evant departments to assess the emission reduction responsibilities of each province and develop targeted collaborative emission reduction plans.关键词
居民能源消费/碳排放/复杂网络/空间关联/空间计量分析/社会网络分析Key words
residential energy consumption/carbon emissions/complex networks/spatial association/spatial econo-metric analysis/social network analysis分类
信息技术与安全科学引用本文复制引用
彭鑫蓓,刘家保..复杂网络视角下我国居民能源消费碳排放的空间关联分析[J].南通大学学报（自然科学版）,2023,22(4):50-61,12.基金项目
安徽高校自然科学研究重点项目(KJ2020A0478) （KJ2020A0478）
省级重点教育教学研究项目(2022jyxm304) （2022jyxm304）
