摘要
采用中国各省区2000-2012年的面板数据,计算各省区碳排放,并采用灰色关联度模型分析经济因素与碳排放之间的关联程度。结果显示:从时间序列看,各省区碳排放、人均碳排放呈现逐年增加态势,而碳排放强度逐年下降;从空间序列看,三者都呈现明显的区域差异,不同经济因素对碳排放的关联度存在省际差异;从产业结构看:东部地区碳排放与第三产业关联性最大,中西部地区碳排放与第二产业关联性最大。而居民消费水平和对外开放度与碳排放的关联度同样表现出东部地区>中部地区>西部地区的规律,说明经济发展水平与碳排放之间存在区域的差异性。
Based on panel data of China’s provinces from 2000 to 2012,this paper calculates the carbon emission in China’s provinces and analyzes the correlation between the carbon emission and economic fac-tors through using grey correlation model.The results are as follows:from the perspective of time series, the total energy consumption and per-capita carbon emission in every province is increasing by years,while carbon intensity is decreasing simultaneously;from the perspective of spatial series,the three objects pres-ents obvious regional differences,and different economic factors in different provinces have different influ-ence on carbon emission;from the perspective of industrial structure,the carbon emission in eastern regions is most related to the tertiary industry,in central and western regions,the secondary industry;the correla-tion between residents’consumption level and opening degree,and carbon emission manifests the law of eastern regions > central regions > western regions,which shows there exist regional differentiation be-tween economic development level and carbon emission.
出处
《河北北方学院学报（社会科学版）》
2015年第2期38-43,共6页
Journal of Hebei North University：Social Science Edition
基金
安徽省教育厅自然科学重点研究项目(KJ2014A251)
安徽省高校省级人文社科研究项目(SK2013B509)
宿州学院安徽省煤矿勘探工程技术研究中心开放课题(2013YKF05)
宿州学院教授博士基金课题(2014JB02)
关键词
碳排放
经济发展
时空差异
灰色关联度
carbon emission
economic development
temporal and spatial differences
grey correlation analysis
