TY - JOUR
T1 - Sensitivity of sectoral CO2 emissions to demand and supply pattern changes in China
AU - Yang, Yuantao
AU - Qu, Shen
AU - Wang, Zhaohua
AU - Xu, Ming
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/9/10
Y1 - 2019/9/10
N2 - To realize the emission reduction targets, it is essential to understand how technical and structural variations of an economy can lead to emission changes. This paper establishes the carbon dioxide (CO2) emissions elasticity indicators of technical and final demand coefficients from the demand perspective as well as allocation and primary input coefficients from the supply perspective, based on the input–output technique combined with sensitivity analysis. We apply these indicators to the Chinese economy for the year 2012. The results show that with every 1% decrease of self-supplied intermediate products in the Production and supply of electricity and heat and Smelting and pressing of ferrous metals (the two largest CO2 emitting sectors) could reduce CO2 emissions from the whole economy by 20.6 Mt and 11.3 Mt from the demand perspective, accounting for 0.22% and 0.12% of the national total CO2 emissions, respectively. It could also mitigate 22.2 Mt and 8.7 Mt from the supply perspective, accounting for 0.24% and 0.09% of the national total, respectively. In addition, 1% decrease of final demand coefficient of the Construction in Capital Formation could exert great indirect effects on many sectors, and lead to 37.4 Mt (0.40%) emission reduction from the whole economy. The absolute reduction due to the variation of primary input coefficients is relatively small. By analyzing these important intersectoral linkages of CO2 emissions within the economy from both demand and supply perspectives, the most important economic transactions between sectors as well as supply and demand patterns to reduce emissions are identified. These results can help guide the development of potential effective emission mitigation policies and the methods can also be applied to other countries and regions.
AB - To realize the emission reduction targets, it is essential to understand how technical and structural variations of an economy can lead to emission changes. This paper establishes the carbon dioxide (CO2) emissions elasticity indicators of technical and final demand coefficients from the demand perspective as well as allocation and primary input coefficients from the supply perspective, based on the input–output technique combined with sensitivity analysis. We apply these indicators to the Chinese economy for the year 2012. The results show that with every 1% decrease of self-supplied intermediate products in the Production and supply of electricity and heat and Smelting and pressing of ferrous metals (the two largest CO2 emitting sectors) could reduce CO2 emissions from the whole economy by 20.6 Mt and 11.3 Mt from the demand perspective, accounting for 0.22% and 0.12% of the national total CO2 emissions, respectively. It could also mitigate 22.2 Mt and 8.7 Mt from the supply perspective, accounting for 0.24% and 0.09% of the national total, respectively. In addition, 1% decrease of final demand coefficient of the Construction in Capital Formation could exert great indirect effects on many sectors, and lead to 37.4 Mt (0.40%) emission reduction from the whole economy. The absolute reduction due to the variation of primary input coefficients is relatively small. By analyzing these important intersectoral linkages of CO2 emissions within the economy from both demand and supply perspectives, the most important economic transactions between sectors as well as supply and demand patterns to reduce emissions are identified. These results can help guide the development of potential effective emission mitigation policies and the methods can also be applied to other countries and regions.
KW - CO emissions
KW - China
KW - Coefficient variation
KW - Elasticity
KW - Input–output analysis
UR - http://www.scopus.com/inward/record.url?scp=85065921514&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2019.05.169
DO - 10.1016/j.scitotenv.2019.05.169
M3 - Article
C2 - 31129543
AN - SCOPUS:85065921514
SN - 0048-9697
VL - 682
SP - 572
EP - 582
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -