中国人口·资源与环境2011，Vol.21Issue(11)：15-20,6.DOI:10.3969/j.issn.1002-2104.2011.11.003
中国省级CO2排放影响因素的空间计量分析
Spatial Econometric Analysis on the Influence Factors of Chinese Provincial Carbon Dioxide Emissions
摘要
Abstract
The paper propose panel data spatial error components model (SEC model in short) ,and using feasible generalized least square method based on generalized method of moments ( GMM) method, this paper studies the influence factors of Chinese provincial carbon dioxide emissions (CO2) from 1997 to 2007. The empirical results show that, Chinese provincial CO2 emission has obvious positive spatial correlation. Provinces with more CO2 emissions will influence CO, emissions of surrounding regions. CO2 emissions and per capita GDP present an inverted "N" Environment Kuznets Curve (EKC). The emission turning point of CO2 emission is 51 730 Yuan (RMB) per capita GDP when ignoring spatial correlation, Chinese CO2 emissions doesn't reach that point at the moment;Using panel data SEC model, we find that the falling turning point is 53 237 Yuan (RMB) per capita GDP, and spatial correlation between regions will increase the falling point. At the same time, increasing coal consumption proportion and population will reduce Chinese CO2 emissions, so adjusting energy structure and population control are important for reducing CO2 emissions.关键词
CW2排放/误差分量模型/面板数据/广义矩估计Key words
carbon dioxide emissions/spatial error components model/panel data/generalized moment method estimate分类
管理科学引用本文复制引用
陈青青,龙志和..中国省级CO2排放影响因素的空间计量分析[J].中国人口·资源与环境,2011,21(11):15-20,6.基金项目
国家自然科学基金项目(编号:71071060). （编号:71071060）
