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Decomposition and decoupling analysis of carbon emissions in the Yellow River Basin: evidence from urban agglomerations.
Chen, Ruimin; Ma, Xiaojun; Song, Yanqi; Wang, Mengyu; Fan, Yijie; Yu, Yuanbo.
Afiliação
  • Chen R; School of Statistics, Dongbei University of Finance and Economics, Dalian, 116025, China.
  • Ma X; School of Statistics, Dongbei University of Finance and Economics, Dalian, 116025, China.
  • Song Y; School of Statistics, Dongbei University of Finance and Economics, Dalian, 116025, China.
  • Wang M; School of Statistics, Dongbei University of Finance and Economics, Dalian, 116025, China.
  • Fan Y; School of Statistics, Dongbei University of Finance and Economics, Dalian, 116025, China.
  • Yu Y; School of Business Administration, Dongbei University of Finance and Economics, Dalian, 116025, China. 15640243843@163.com.
Environ Sci Pollut Res Int ; 30(57): 120775-120792, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37945949
A comprehensive understanding of carbon emission reduction and decoupling in urban agglomerations of the Yellow River Basin (YRB) has significant theoretical and practical value for formulating precise carbon reduction policies and achieving ecological conservation and high-quality development in the region. This study utilized a generalized Divisia index decomposition model to identify the primary driving factors behind carbon emission changes in urban agglomerations of the YRB. Based on this, a model measuring decoupling efforts was constructed to systematically investigate the decoupling relationship between carbon emissions. The research findings indicate that technological progress and output scale are two primary drivers of carbon emission increases in the YRB and its urban agglomerations, whereas technological carbon intensity, output carbon intensity, and energy carbon intensity play key roles in reducing carbon emissions. Except for a few years, the YRB and Jiziwan metropolitan area (JWMA) did not exhibit decoupling effects on carbon emissions. The Shandong Peninsula Urban Agglomeration (SPUA) and Central Plains Urban Agglomeration (CPUA) showed strong decoupling effects from 2016 to 2019. The Guanzhong Plain Urban Agglomeration (GPUA) demonstrated a strong decoupling effect from 2013 to 2019 (except from 2016 to 2017). The Lanxi Urban Agglomeration (LXUA) exhibited a strong decoupling effect from 2014 to 2019. Technological carbon intensity plays a decisive role in the transition from non-decoupling to decoupling. Therefore, the government must increase investments in green and low-carbon technologies and strictly implement carbon reduction measures. Thus, the YRB and its urban agglomerations have considerable potential for carbon emission reduction and strong decoupling effects.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Rios País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Rios País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China