摘要
以浙江县域为研究基本单元,利用Scientific Data碳排放数据,通过空间自相关、地理加权回归等方法,进行了人均碳排放时空变异特征测度及影响因子分析。研究表明:2009年-2019年浙江人均碳排放呈现“北高、南低”两极聚类特征与“高值减少、低值增加”区域差异缩小的态势。影响因子中,人口密度主要为负影响,影响程度由浙西向浙东递减;GDP主要为正影响,影响程度主要由浙南、西向东北递减;建设用地比例主要为正影响,影响程度主要由浙西向浙东递减。最后,基于人均碳排放与影响因子差异,划分六大聚类区域,提出碳排放与地区发展的协调建议。
Taking Zhejiang county as the basic unit of study,this paper uses Scientific Data carbon emission data,through spatial autocorrelation,geographical weighted regression and other methods,to measure the spatial-temporal variation characteristics of carbon emissions per capita and analyze the influencing factors.The results:From 2009 to 2019,the per capita carbon emissions showed a cluster regional change of“high in the north,low in the south”,“high value decreased,low value increased”.Among the three factors,population density is mainly a negative influence,its influence degree decreased from west to east.GDP is mainly positive,and its influence decreases from south and southwest to northeast.And the proportion of construction land is mainly positive,the degree of influence decreases from west to east.Finally,six clusters were divided based on the per capita carbon emission and influencing factors,and planning suggestions to coordinate carbon emission and regional development were put forward.
作者
徐博文
罗成书
沈嘉瑜
马亚利
Xu Bowen;Luo Chengshu;Shen Jiayu;Ma Yali(Zhejiang Development Planning Institute,Hangzhou 310030,China)
出处
《环境科学与管理》
CAS
2024年第10期20-25,共6页
Environmental Science and Management
基金
国家社会科学基金项目“数字经济时代长三角区域创新创业生态系统构建模式研究”(21BGL059)。
关键词
人均碳排放
影响因子
时空变异
县域
per capita carbon emissions
influencing factors
temporal-spatial variation
country
