Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors

Due to the substantial industry heterogeneity in China, CO2 emissions and the major forces driving these emissions may vary in different sub-sectors. However, this topic has rarely been discussed at the industrial sub-sector level. To fill this gap, using an generalized Divisia index model (GDIM) incorporating investment factors, and considering 38 industrial sub-sectors, this study investigated the trajectories of China's industrial CO2 emissions and their driving forces, both at the overall industrial sector and its sub sector levels. The results showed, (1) during 2000-2017, 97.2% of the increases in China's total industrial CO2 emissions was attributable to four sub-sectors. (2) Investment scale was the largest driver of increases in CO2 emissions, followed by output scale and energy consumption. (3) Carbon intensity of investment, energy intensity, and investment efficiency were main drivers of reductions in CO2 emissions, but their effects remained limited. (4) The roles of different drivers varied across sub-sectors, resulting in great heterogeneity in emission trajectories between different sub-sectors. The findings indicate the necessity of designing emission-reduction strategies at the sub-sector level, and more efforts should focus on the electricity, heat, metallurgy, mining, and chemical industries.(C) 2022 Published by Elsevier Ltd.

Automated summary

Due to the heterogeneity in China's industrial sector, CO2 emissions and the driving forces behind them vary in different sub-sectors. This study uses a generalized Divisia index model to analyze the trajectories of China's industrial CO2 emissions and their driving forces. The findings indicate that investment scale is the main driver of CO2 emissions, while carbon intensity, energy intensity, and investment efficiency play important roles in reducing CO2 emissions.