Regional Difference Research Of Carbon Emission Based On Panel Data In China

In order to further analyzing the regional differences and its causing among China’s carbon emissions,the paper considers CO2 emission intensity,CO2 emissions per capita,per capita GDP and other indicators in 2000-2012 between 30 provinces,And through cluster analysis,the country’s 30 provinces are divided into three regions as follows:the class I areas including Shanxi,Inner Mongolia and Ningxia,the Class Ⅱ including Heilongjiang,Anhui,Jiangxi,Henan,Hubei,Hunan,Guangxi,Hainan,Chongqing,Sichuan,Guizhou,Yunnan,Shaanxi,Gansu and Qinghai,the Class Ⅲ class contains Beijing,Tianjin,Hebei,Liaoning,Jilin,Shanghai,Jiangsu,Zhejiang,Fujian,Shandong,Guangdong and Xinjiang.Then the existence of carbon emission regional differences is proved through the decomposition of the Theil index,the analysis of variance and so on.Finally,this paper respectively builds the spatial panel model of class Ⅰ,Ⅱ,Ⅲ region by considering energy consumption intensity,energy consumption structure,the level of economic development,industrial structure,urbanization level,open level,the degree of fiscal decentralization,environmental regulation intensity as independent variables,considering carbon dioxide emission intensity as dependent variable,and get the following conclusions:The positive impact of energy consumption intensity on carbon emissions of class Ⅱ,Ⅰ,Ⅲ area is gradually increasing,and the positive impact on the classⅢ area is nearly twice the class Ⅱ area;The positive impact of the level of economic development on carbon emissions of class Ⅰ,Ⅱ,Ⅲ area is gradually increasing,and the positive impact on the class Ⅲ area is close to twice the class Ⅰarea;Energy consumption structure has a positive impact on the carbon emissions of class Ⅰ area and a negative impact on the carbon emissions of class Ⅱ area,and the impact on the class Ⅰ area is approximately twice the class Ⅱ area;The degree of fiscal decentralization has a positive impact on the carbon emissions of class Ⅰarea and a negative impact on the carbon emissions of class Ⅲ area,and the impact on the class Ⅰ area is about 2.5 times the class Ⅲ area;Industrial structure,open level all have a negative impact on the carbon emissions of class Ⅱ area,a positive impact on the carbon emissions of class Ⅲ area,and the impact of this two factors on class Ⅱ,Ⅲ area is respectively close;Urbanization level,environmental regulation intensity all have a positive impact on the carbon emissions of class Ⅱarea,a negative impact on the class Ⅲ area is nearly twice the class Ⅱ area,and the impact of urbanization level on class Ⅱ,Ⅲ area is respectively close,the impact of environmental regulation intensity on class Ⅱ,Ⅲ area is respectively close.In addition,the spatial spillover effects of class Ⅰ,Ⅱ,Ⅲ area are obvious,and the pulling effect of each province’s error impact on other province in class Ⅰarea is most obvious;the rise of each province’s carbon emissions in class Ⅱ,Ⅲarea will pull the other province’s carbon emissions.