中国城市碳排放的空间分异与影响因素  

Analysis of Spatial Difference and Influence Factors on Carbon Dioxide Emission in Chinese Cities

作　　者：张旺[1] 邹毓[2] 

机构地区：[1]湖南工业大学全球低碳城市联合研究中心,湖南株洲412007 [2]湖南工业大学建筑与城乡规划学院,湖南株洲412007

出　　处：《湖南工业大学学报（社会科学版）》2013年第5期1-6,共6页Journal of Hunan University of Technology(Social Science Edition)

基　　金：国家"十二五"科技支撑计划基金资助项目(2011BAJ07B03-06);湖南省教育厅一般科研项目(12C0082)

摘　　要：运用Theil指数,测度我国地级以上城市GDP值前110强城市碳排放的区域差异,并采用STIRPAT模型分析碳排放量的影响因素。中国城市碳排放的空间分异较为明显,西部城市的碳排放水平整体上落后于东、中部城市;总体差异值按碳排放强度>人均碳排放>单位碳排放提供就业岗位数的顺序递减,地带内差异远远大于地带间差异;常住人口数、能源强度、人均GDP值是影响样本城市整体碳排放量的主导因素,产业结构多元化演进水平对碳排放增长的缓解作用不甚明显。In view of regional difference on carbon emission measurement about GDP at top 110 Chinese Cities by u- sing the Theil index, as well as carbon emission influence factors by STIRPAT model, we can get to know the follow- ing results, firstly, the spatial difference is obvious in carbon emission, and the whole carbon emission level of west- ern cities is lower than that of eastern and middle cities. Secondly, the whole difference of capita emission is in descending order on employment numbers according to carbon emission intensity which is far bigger than per capital and unit, and difference in carbon emission in inter- city is bigger than inter- regions. Thirdly, resident popula- tion,energy intensity, per capita GDP are the leading factors for the whole cities carbon emission, but the function of diversify evolution level of industrial structure to alleviation the increasing carbon emission was not really obvious.

关 键 词：碳排放 空间分异 THEIL指数 STIRPAT模型 

分 类 号：X506[环境科学与工程—环境工程]