摘要
基于2001-2016年我国省市面板数据,运用STIRPAT模型探讨了城镇化进程中人均收入与CO2排放之间的关系。研究表明:城镇化与我国CO2排放存在负相关,CO2排放随着人均收入的增加而增加。通过对各省份以收入不同水平进行分组研究,发现人均收入、城镇化水平与CO2排放的弹性系数显示出很大差异。高收入组中,城镇化与CO2排放存在正相关,而较低收入组中,城镇化与CO2排放存在负相关。在较低收入组中,人均收入对CO2排放的弹性系数要远远高于全国平均水平,弹性系数高达1.7298。因此,在较低收入群体中,随着人均收入的提高,将带来更多的CO2排放。减少地区CO2排放不仅需要缩小收入差距,还需合理布局城镇化发展,倡导低碳生活。
Global energy and climate problem are arising when economic development is continuing. At present, relative studies about emission amount of CO2 have been hot issues in Economics, Management, Geography and so on. The relationship of per capita income and emission amount of CO2 during urbanization is studied through STIRPAT model with panel data based on 2001-2016 in this paper. As studies have shown that urbanization has negative effect on emission amount of CO2 and per capita income has positive correlation to it. It is found that elastic coefficients of per capita and urbanization to emission amount of CO2 have big differences through STIRPAT model with different groups of income among provinces. Urbanization has positive correlation to emission amount CO2 within group of higher per capita income, but negative correlation within group of lower per capita income. Elastic coefficient of per capita income to emission amount of CO2 belonging to lower group of income is 1.7298 which is higher than the average level of the whole country. It shows increasing income for lower level group of income will lead to more emission amount of CO2. In order to decrease emission amount of CO2, deducing gap in personal income, reasonable urbanization layout are necessary and low carbon life is also advocated.
作者
束克东
李影
SHU Kedong;LI Ying(School of Economics,Hefei University of Technology,Hefei 230601,China)
出处
《经济经纬》
CSSCI
北大核心
2020年第1期25-31,共7页
Economic Survey
基金
国家社会科学基金项目(18BJY029)