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Author:

Cui, T. (Cui, T..) | Pan, K. (Pan, K..)

Indexed by:

EI Scopus SCIE

Abstract:

In alignment with China’s “dual carbon” goals and its quest to build an ecological civilization, this study scrutinizes the carbon emissions derived from consumer lifestyles, with a particular focus on Beijing, a high-consumption urban metropolis. Utilizing the expanded STIRPAT model and ridge regression, factors such as permanent population, per capita consumption expenditure, energy intensity, energy structure, and consumption structure are examined to evaluate their impact on lifestyle-associated carbon emissions. A scenario analysis is also conducted to project future carbon emissions in Beijing. From 2010 to 2020, there was an overall upward trend in lifestyle-associated carbon emissions, up to a maximum of 87.8260 million tons. Indirect consumption-related carbon emissions, particularly those associated with residential and transportation-related consumption, constituted the primary sources. The most influential factors on carbon emissions were found to be the consumption structure. Notably, adopting a low-carbon consumption mindset and an optimized consumption structure could foster significant carbon reduction. Projections suggest that by 2035, carbon emissions due to residents’ consumption could decline by 39.72% under a low-carbon consumption scenario and by 48.74% under a coordinated development scenario. Future efforts should prioritize promoting green, low-carbon living, refining consumption structure and practices, curbing excessive housing consumption, improving energy structure, and raising technological and energy efficiency standards. © 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Keyword:

Ridge regression Beijing Lifestyle consumption Scenario prediction Carbon emissions STIRPAT model

Author Community:

  • [ 1 ] [Cui T.]Beijing University Of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, China
  • [ 2 ] [Pan K.]Beijing University Of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, China

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Source :

Environmental Science and Pollution Research

ISSN: 0944-1344

Year: 2024

Issue: 6

Volume: 31

Page: 9596-9613

5 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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