Energy intensity, industrial structure and selection of low-carbon policy

Abstract

Climate change is increasingly serious, and analysing the determinants of carbon emissions and studying carbon emission reduction is significant. The research used additive decomposition method of LDMI to build a factor decomposition model of carbon emissions from the energy consumption and conducted an empirical analysis of above scale industrial industries from five aspects including energy intensity, industrial structure, energy structure, economic output and the employed population scale. The results revealed that energy intensity and industrial structure had significant negative effects on carbon emissions; while economic output and the employed population scale had strong positive effects; energy structure had no significant negative effect on carbon emissions. Of the industrial industries in Anhui, electricity and heat production and supply industry, coal mining and dressing industry, petroleum processing, coking and nuclear fuel processing industry, ferrous metal smelting and rolling processing industry, non-metallic mineral products industry were the main industries affecting industrial carbon emissions. To reduce carbon emissions, policy suggestions on, reducing energy intensity, adjusting industrial structure and reducing the proportion of five industries were proposed. ［Ch, 4 fig. 5 tab. 14 ref.］