Input–Output Analysis of China’s CO 2 Emissions in 2017 Based on Data of 149 Sectors

Fan He, Yang Yang, Xin Liu, Dong Wang, Junping Ji and Zhibin Yi
Additional contact information
Fan He: School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
Yang Yang: School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
Xin Liu: School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
Dong Wang: School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
Junping Ji: School of Economics and Management, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
Zhibin Yi: College of Tourism and Service Management, Nankai University, Tianjin 300350, China

Sustainability, 2021, vol. 13, issue 8, 1-27

Abstract: High-precision CO 2 emission data by sector are of great significance for formulating CO 2 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 CO 2 emissions among sectors. Considering production, the electricity/heat production and supply sector contributed the most (51.20%) to the total direct CO 2 emissions. The top 10 sectors with the highest direct CO 2 emissions accounted for >80% of the total CO 2 emissions. From a demand-based perspective, the top 13 sectors with the highest CO 2 emissions emitted 5171.14 Mt CO 2 (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.

Keywords: carbon emissions; input–output analysis; energy allocation; life cycle assessment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/8/4172/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/8/4172/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:8:p:4172-:d:532577

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().