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

Abstract

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.

Responsibility Allocation of Provincial Industry Emission Reduction from the Perspective of Industrial Linkages—A Case Study of Shanxi Province

“…S11, S14, and S23 have significantly lower emissions reduction responsibilities after considering their embodied carbon emissions but are still higher than other industries; therefore, they need to take on more emissions reduction responsibilities. This result also supports the view of He, Yang, Liu, Wang, Ji, and Yi [22] in that the formulation of emissions reduction policies should focus on the 13 sectors with the highest CO2 emissions.…”

“…In terms of research perspectives, studies have not been conducted from the perspective of industrial linkages. First, consideration of the impact of indirect emissions embedded in industries' final demand on equitable allocation is lacking [22]. Second, the impact of the reduction in emissions of each industry on the overall emissions reduction efficiency has not been adequately included in previous analytical framework [23].…”

The Effect of Energy Usage, Economic Growth, and Financial Development on CO2 Emission Management: An Analysis of OECD Countries with a High Environmental Performance Index

“…Another study co-authored by Novak Mavar, Gaurina-Medimurec, and Hrncevic [46] determines the role of petroleum recovery on the reduction in CO 2 emissions, concluding that only large-scale, CO 2 -strengthened petroleum recovery projects can reach the reduction target without compromising profitability. He et al [47] conduct an input-output analysis of CO 2 emissions and suggest that energy and the input effectiveness of production processes should be improved to reduce carbon emissions in the energy sector. Nam, Lee, and Jeon [48] analyze the non-linear connection between CO 2 emissions and economic development.…”

Characterization of Greenhouse Gases Emissions by Economic Sectors Using Environmentally Extended Input-Output Analysis (EEIOA)

“…그들은 에너지원 사용량을 산업연관표 소분류에 따라 할당하 고, 에너지원별 이산화탄소 배출계수는 에너지원별 배출량의 가중평균을 구하여 이용하였으며, 나프타와 윤활기유에 탄소 몰입율을 적용하였다. 최근에 저자들은 24) 2017 고해상도(~380개 섹터) 환경산 업연관표(Environmentally Extended Input-Output [38][39][40] 따라서, 전체 산업과 가정에서 가솔린과 디젤 의 가격은 동일한 것으로 가정하고, 각 산업과 가정에 대한 도로수송부문(가솔린과 디젤)의 에너지소비량을 도로수송부 문의 에너지소비량에 각 경제활동에 따른 산업의 배분구조 비를 곱하여 아래 식으로 산출하였다. A의 경우 에너지산업에서 267,967 kt CO 2 eq., 제조업 및 건 설업에서 185,959 kt CO 2 eq., 수송에서 97,596 kt CO 2 eq., 기 타에서 51,881 kt CO 2 eq.배출되었다.…”