作　　者： ; ; ;

机构地区： 温州大学数学与信息科学学院

出　　处： 《温州大学学报（自然科学版）》 2013年第3期24-31,共8页

摘　　要： 较为准确地对中国大陆地区29个省份(市、直辖市)的二氧化碳排放量进行测算,并将其分为高排放高收入、低排放高收入、高排放低收入和低排放低收入四个不同区域,利用面板数据模型分析了我国二氧化碳排放的EKC曲线及影响因素.实证结果表明,除高排放低收入地区外,其余区域的经济发展水平与二氧化碳排放量都存在倒"U"型关系,EKC曲线假说成立.能源强度、产业结构、城市化和国际贸易水平等对我国的二氧化碳排放具有显著的影响. CO2 emissions in China＇s 29 provinces are accurately calculated in this article and analyzed comparatively in the four different areas of high-income vs. high emissions, high-income vs. low emissions, low-income vs. high emissions, and low-income vs. low emissions. Meanwhile, in the framework of panel data model, China＇s KFC of Carbon Dioxide emissions and affecting factors are analyzed. The results indicate that the hypothesis of Environmental Kuznets Curve is established according to the inverted U-shaped relationship lingering between the level of economic development and CO2 emissions except for the area of low-income vs. high emissions. Energy intensity, industry structure, urbanization, and the level of foreign trade have proved prominent in affecting China＇s Carbon Dioxide Emissions. Consequently, relevant suggestions to reduce CO2 emission are put forward, offering a theoretical basis for the effective enforcement of CO2 emissions reduction policies in China.

关 键 词： 二氧化碳排放 曲线 影响因素 异质性

领　　域： [经济管理]