能源研究与管理2023，Vol.15Issue(4)：40-45,51,7.DOI:10.16056/j.2096-7705.2023.04.007
中国居民直接碳排放影响因素分析
Analysis of Factors Influencing Direct Carbon Emissions of Chinese Residents
摘要
Abstract
To investigate the influencing factors and spatial characteristics of direct carbon emissions from residential energy use,Moran's I was used to analyze the spatial correlation of direct carbon emissions from residential households.Geographically Weighted Regression(GWR)model was established to analyze the influencing factors of direct carbon emissions from residents.The results showed that direct carbon emissions from residential households were high-highly aggregated in northern coastal and eastern coastal provinces such as Hebei,Shandong,Inner Mongolia and Jiangsu,while they were low-lowly aggregated in northwestern provinces such as Xinjiang,Tibet and Qinghai.The urbanization rate had the largest impact on direct carbon emissions from residential households,with a regression coefficient ranging from 0.80 to 0.97,indicating that areas with higher urbanization rates tended to emit more carbon.In addition,household size and residents'awareness of energy-saving policies also had positive effects on direct carbon emissions.The impact of per capita residential area and energy consumption behavior on direct carbon emissions varied significantly among different provinces.In general,direct carbon emissions from Chinese residents exhibit spatial heterogeneity,and efforts to reduce carbon emissions from households should be tailored to local conditions.关键词
居民/直接碳排放/影响因素分析/莫兰指数/地理加权回归模型Key words
residents/direct carbon emissions/analysis of influencing factors/Moran's I/geographically weighted regression model分类
能源科技引用本文复制引用
高雨雯,孙路石,王安妮,贝雷,杨武,卢腾飞,许霁,王艺程,王贲,刘海涛..中国居民直接碳排放影响因素分析[J].能源研究与管理,2023,15(4):40-45,51,7.基金项目
广西科技发展战略研究专项(桂科ZL22064025) （桂科ZL22064025）
