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Exploring key sectors of CO2 emissions and driving factors to spatiotemporal evolution in China from multiple perspectives.
Liu, Xianmei; Peng, Rui; Bai, Caiquan; Wang, Song.
Affiliation
  • Liu X; School of Economics and Management, Beijing University of Technology, Beijing, 100124, People's Republic of China.
  • Peng R; School of Economics and Management, Beijing University of Technology, Beijing, 100124, People's Republic of China.
  • Bai C; The Center for Economic Research, Shandong University, 27 Shanda Nanlu, Ji'nan, Shandong, 250100, People's Republic of China. baicaiquan@sdu.edu.cn.
  • Wang S; Institute of Latin American Studies (ILAS) of Chinese Academy of Social Sciences (CASS), Beijing, 100007, People's Republic of China.
Environ Sci Pollut Res Int ; 30(7): 18685-18700, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36219286
ABSTRACT
Identifying CO2 emission from different perspectives is necessary for developing the effective mitigation policies for China. Previous studies mainly focus on exploring important sectors from production and consumption sides, while the perspective of betweenness has been neglected. For narrowing the gap, a new perspective for accounting the critical transmission sectors is discussed. In this study, we calculated and compared the CO2 emissions of production-based, consumption-based, and betweenness-based from 2012 to 2017 based on the multi-regional input-output (MRIO) model. A structural decomposition analysis (SDA) is conducted to uncover the driving forces of CO2 emissions change from three accounting principles. The Findings are as follows (1) the heavy industry sector (559.26 Mt) in Shandong and Jiangsu (471.97 Mt), Power in Guangdong (83.77 Mt) and Beijing (199.24 Mt), Equipment in Jiangsu (213.88 Mt) are identified as the key transmission sectors; (2) the emission intensity effect and the final demand product structure effect contribute to CO2 emission decrease in China, which are largely offset by the structure effect of final demand source and the final demand scale effect. Based on this, we propose some typical policy implications, such as paying close attention to the production efficiency of the key transmission sectors, optimizing the intermediate product input structure and increasing investment in the technology level, and then reducing the intensity of carbon emission.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carbon Dioxide / Economic Development Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carbon Dioxide / Economic Development Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article