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Who drives carbon emissions and what emission reduction potential in the resource curse agglomeration: a case of Xinjiang.
Gu, Kuiying; Yan, Min; Dou, Pengyue; Zhao, Liang.
Afiliación
  • Gu K; Vanke School of Public Health, Tsinghua University, Beijing, 100084, China. queeninggu@tsinghua.edu.cn.
  • Yan M; School of Tourism, History, and Culture, Yili Cultural and Tourism Integration Research Center, Yili Normal University, Yining, 835000, China.
  • Dou P; Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
  • Zhao L; State Key Laboratory of Numerical Modelling for Atmosphere Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Environ Sci Pollut Res Int ; 30(45): 100403-100430, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37626199
ABSTRACT
The primary problem in achieving carbon emission reduction and carbon peak is to identify the key driving factors and emission reduction potential of the industrial sector, especially in resource-cursed regions like Xinjiang. This study aimed to explore the key driving factors and abatement potential of carbon emissions based on the "energy-environment-economy" hybrid input-output model of Xinjiang during 1997-2017. The result showed that (1) Industrial carbon emissions have experienced three stages slow growth-rapid growth-stable growth. (2) Demand change effect and energy intensity effect were the determinants of Xinjiang industrial carbon emission change; Capital formation and domestic trade were the biggest drivers of carbon emissions growth; Especially after entering the "new normal",the driving force of imports in Xinjiang's international trade increased gradually over time. (3) The coal-based energy structure was both the biggest obstacle and the best entry point in carbon emission reduction. (4) Of the 28 key industry sectors, heavy industry including the production and supply of electricity and heat (S22), petroleum processing, coking and nuclear fuel processing (S11), chemical industry (S12), metal smelting and rolling (S14), and energy industries had the greatest potential for carbon reduction. The research findings provide scientific decision-making reference for Xinjiang to accurately grasp the carbon emission reduction potential of the industry and formulate a targeted carbon peak action plan.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Carbono / Comercio Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Carbono / Comercio Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China