Input–Output Analysis of China’s CO2 Emissions in 2017 Based on Data of 149 Sectors

Sustainability

Zhibin Yi¹  Dong Wang²  Fan He²  Yang Yang²  Junping Ji²  Xin Liu³ 

[1] College of Tourism and Service Management, Nankai University, Tianjin 300350, China;School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China;School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China;

关键词: carbon emissions;    input–output analysis;    energy allocation;    life cycle assessment;   

DOI  :  10.3390/su13084172

来源: DOAJ

【 摘 要 】

High-precision CO₂ emission data by sector are of great significance for formulating CO₂ emission reduction plans. This study decomposes low-precision energy consumption data from China into 149 sectors according to the high-precision input–output (I–O) table for 2017. An economic I–O life cycle assessment model, incorporating sensitivity analysis, is constructed to analyze the distribution characteristics of CO₂ emissions among sectors. Considering production, the electricity/heat production and supply sector contributed the most (51.20%) to the total direct CO₂ emissions. The top 10 sectors with the highest direct CO₂ emissions accounted for > 80% of the total CO₂ emissions. From a demand-based perspective, the top 13 sectors with the highest CO₂ emissions emitted 5171.14 Mt CO₂ (59.78% of the total), primarily as indirect emissions; in particular, the housing construction sector contributed 23.97% of the total. Based on these results, promoting decarbonization of the power industry and improving energy and raw material utilization efficiencies of other production sectors are the primary emission reduction measures. Compared with low-precision models, our model can improve the precision and accuracy of analysis results and more effectively guide the formulation of emission reduction policies.

【 授权许可】

Unknown