文章基本信息

标题：Carbon Emissions in China: A Spatial Econometric Analysis at the Regional Level
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作者：Liu, Yu ; Xiao, Hongwei ; Zikhali, Precious 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2014
卷号：6
期号：9
页码：6005-6023
出版社：MDPI, Open Access Journal
摘要：An extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model, incorporating factors that drive carbon emissions, is built from the regional perspective. A spatial Durbin model is applied to investigate the factors, including population, urbanization level, economic development, energy intensity, industrial structure, energy consumption structure, energy price, and openness, that impact both the scale and intensity of carbon emissions. After performing the model, we find that the revealed negative and significant impact of spatial-lagged variables suggests that the carbon emissions among regions are highly correlated. Therefore, the empirical results suggest that the provinces are doing an exemplary job of lowering carbon emissions. The driving factors, with the exception of energy prices, significantly impact carbon emissions both directly and indirectly. We, thus, argue that spatial correlation, endogeneity and externality should be taken into account in formulating polices that seek to reduce carbon emissions in China. Carbon emissions will not be met by controlling economic development, but by energy consumption and low-carbon path.
关键词：carbon emissions; spatial Durbin panel data model; spatial externality; Stochastic Impacts by Regression on Population; Affluence and Technology (STIRPAT)