Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China

International Journal of Environmental Research and Public Health

卷:15

Baona Wang¹  Zhaosu Meng¹  Huan Wang¹ 

[1] School of Economics, Ocean University of China, Qingdao 266100, China;

关键词: fossil fuel;    carbon emission;    Logarithmic Mean Divisia Index (LMDI) method;   

DOI  :  10.3390/ijerph15112467

来源: DOAJ

【 摘 要 】

China is confronting great pressure to reduce carbon emissions. This study focuses on the driving factors of carbon emissions in China using the Logarithmic Mean Divisia Index (LMDI) method. Seven economic factors, including gross domestic product (GDP), investment intensity, research and development (R&D) intensity, energy intensity, research and development (R&D) efficiency, energy structure and province structure are selected and the decomposition model of influencing factors of carbon emissions in China is constructed from a sectoral perspective. The influence of various economic factors on carbon emissions is analyzed quantitatively. Results show that the R&D intensity and energy intensity are the main factors inhibiting the growth of carbon emissions. GDP and investment intensity are the major factors promoting the growth of carbon emissions. The contribution of R&D efficiency to carbon emissions is decreasing. The impacts of energy structure and province structure on carbon emissions are ambiguous through time. Finally, some policy suggestions for strengthening the management of carbon emissions and carbon emission reduction are proposed.

【 授权许可】

Unknown