摘要
随着低碳经济发展共识的不断加强,如何在既定的碳排放空间内实现经济效益和社会效益的最优化是当前面临的一项重要课题。构建了中国碳排放福利绩效模型,基于泰尔指数,以GDP和人口为权重剖析了中国东部、中部和西部三大区域的碳排放福利绩效区域差异及贡献度。实证结果表明:除贵州碳排放福利绩效总体呈增长趋势外,其余省份都呈下降趋势。总体视角下以GDP和人口为权重的区域差异都呈扩大趋势;三大区域视角下以GDP为权重的区域差异呈扩大趋势,以人口为权重的区域差异在东部和西部地区呈扩大趋势,在中部地区呈缩小趋势。中国碳排放福利绩效总差异主要来源于区域内差异,其中东部地区的内部差异最大。
With the growing consensus on the development of low-carbon economy,how to maximize the economic benefits and social benefits in a given carbon emission space is an important issue currently. This paper constructing the model of China＇s carbon emissions welfare performance and using the Theil index to analyze the carbon emissions welfare performance regional differences and contribution rate of China＇s eastern,central and western regions with the weight of GDP and population. The empirical results show that： Except for Guizhou,the overall carbon emissions welfare performance showed an upward trend,while the remaining provinces showed a downward trend. In the overall perspective,both the GDP and population-weighted regional differences show an increasing trend. From the perspective of the three regions,the regional differences weighted by GDP all showed an increasing trend. The population-weighted regional differences were expanding in the eastern and western regions and narrowing in the central region. The total difference in the China＇s carbon emissions welfare performance mainly comes from the intra-regional differences. Among them,the internal differences in the eastern region are the biggest differences among the three regions.
作者
胡剑波
高鹏
左鹏飞
HU Jian-bo;GAO Peng;ZUO Peng-fei(School of Economics,Guizhou University of Finance and Economics,Guiyang Guizhou 550025,China;Institute of Quantitative ＆ Technical Economics,Chinese Academy of Social Sciences,Beijing 100732,China)
出处
《经济问题》
CSSCI
北大核心
2018年第11期54-60,共7页
On Economic Problems
基金
贵州省科技厅软科学研究计划项目(黔科合基础[2017]1503)
贵州省教育厅自然科学(科技拔尖人才支持项目)研究项目(黔教合KY字[2017]068)
贵州省教育厅高等学校人文社会科学研究基地--贵州财经大学欠发达地区经济发展研究中心项目(2017jd073)
关键词
泰尔指数
碳排放福利绩效
区域差异
贡献度
Theil index
carbon emissions welfare performance
regional differences
contribution rate
