Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Mapping socioeconomic spatiotemporal transition and its contribution to carbon emissions in China

Bibliographic Data

ID21792001
AuthorsXianglan Wen (Beijing University of Civil Engineering and Architecture), Huimin Li (0000-0001-7494-6745, Beijing University of Civil Engineering and Architecture, corresponding author), Xiaofan Zhao (0000-0002-8779-475X, Hong Kong University of Science and Technology), Xiao‐Fan Zhao (0000-0003-1809-4730, Hong Kong University of Science and Technology), Xiu Yang (0000-0003-4751-2751, Tsinghua University), Yang Xiu (Tsinghua University)
Year2026
Volume18
Issue3
Pages183-196
Publication date2026-03-16
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueClimate and Development (JOURNAL)
Journal identifiersISSN: 1756-5529 • E-ISSN: 1756-5537
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17565529.2025.2509815
OpenAlexW4410637437
LanguageEN
References cited40

China's carbon emission patterns have undergone fundamental transformation through concurrent spatial restructuring of population distribution, economic activity, and energy systems, though their combined climate effects remain insufficiently assessed. This study develops an extended KAYA model to quantify the synergistic impacts of these three-dimensional center-of-gravity shifts. During 1995-2020, when China's carbon emissions grew from 2.8 to 10.5 Gt, key findings reveal: (1)The southward migration of population centers drove 336.02 Mt emission increases, showing strong coupling with emission patterns; (2)The southwest shift of economic activity demonstrated phase-dependent variations, yielding a net increase of 11.46 Mt; (3)Energy production's westward relocation achieved 32.23 Mt reductions, with post-2009 accelerating divergence between energy and emission centers evidencing successful clean energy transition. This spatial-emission linkage mechanism demonstrates that China's dual-carbon strategy requires establishing regionally differentiated climate governance that integrates population mobility, industrial relocation, and energy layout into a unified policy framework

Carbon fibers · China · Climate change · Economic geography · Economics · Environmental resource management · Geography · Greenhouse gas · Natural resource economics · Regional science · Socioeconomic status · Sociology · Computer Science · Demography · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Environmental Science · Urban Transport and Accessibility · Geology · Oceanography

  • Growth in emission transfers via international trade from 1990 to 2008

    Open Access•Glen P Peters, Jan C Minx et al.•Proceedings of the National…•2011

  • Per-capita carbon emissions in 147 countries

    Open Access•Rongrong Li, Qiang Wang et al.•Sustainable Production and…•2021

  • The LMDI approach to decomposition analysis

    Open Access•B W Ang•Energy Policy•2005

  • Regional development and carbon emissions in China

    Open Access•Jiali Zheng, Zhifu Mi et al.•Energy Economics•2019

  • Contributions to accelerating atmospheric CO 2 growth from economic activity, carbon intensity, and efficiency of natural sinks

    Open Access•Josep G Canadell, Corinne Le Quéré et al.•Proceedings of the National…•2007

  • How population migration affects carbon emissions in China

    Open Access•Yu Bu, Yan Bu et al.•Technological Forecasting and…•2022

  • An Essay on the Principle of Population (1798)

    THOMAS MALTHUS, Björn-Ola Linnér•Future of Nature•2013

  • STIRPAT, Ipat and ImPact

    Open Access•Richard York, Eugene A Rosa et al.•Ecological Economics•2003

  • Impact of population, age structure, and urbanization on carbon emissions/energy consumption

    Open Access•Brantley Liddle•Population and Environment•2014

Citation velocityhistorical
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae