基于偏最小二乘模型的碳排放區(qū)域差異及影響因素的實證分析
[Abstract]:In this paper, the carbon dioxide emissions from the main energy sources in 30 provinces of China from 2000 to 2010 are measured. By means of K-means clustering analysis, the provinces are divided into four categories according to the type of "emission-efficiency". The effects of energy consumption structure, economic development level, industrial structure, population size, urbanization rate and carbon emission intensity on the four types of regional carbon emissions were analyzed by using partial least squares model. The results show that there are obvious differences in carbon dioxide emissions among the four regions, and the population size, industrial structure and carbon emission intensity are the common driving factors of carbon emissions in the four types of regions. For high emission low efficiency area and low emission low efficiency area, the relationship between economic development level and carbon emission is inverted U type. There is no significant relationship between the level of economic development and carbon emissions in high and low emission efficient areas. In addition, there are significant differences between the energy consumption structure and the carbon emissions in the four regions. This paper analyzes and explains the above differences and puts forward corresponding policy suggestions.
【作者單位】: 合肥工業(yè)大學;
【基金】:2010年度教育部人文社會科學研究規(guī)劃基金項目(項目編號:10YJA790252) 2012年度國家軟科學研究計劃項目(項目編號:2012GXS4D085) 中央高;究蒲袠I(yè)務(wù)費專項資金項目(項目編號:2012HGXJ0080)
【分類號】:X196;F224
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