Towards COP29 climate equity: Multi-scale trade-driven inequality in China's land-use carbon emissions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F25%3A103612" target="_blank" >RIV/60460709:41330/25:103612 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.landusepol.2025.107743" target="_blank" >https://doi.org/10.1016/j.landusepol.2025.107743</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.landusepol.2025.107743" target="_blank" >10.1016/j.landusepol.2025.107743</a>
Alternative languages
Result language
angličtina
Original language name
Towards COP29 climate equity: Multi-scale trade-driven inequality in China's land-use carbon emissions
Original language description
The inadequacy of global climate finance commitments, exemplified by COP29 (Conference of the Parties 29), has intensified pressure to identify equitable and market-driven strategies for climate adaptation. Multi-scale trade fluxes across the local system boundary exhibit diverse environmental impacts, including regional inequality in carbon emissions. Although land-use carbon emissions (LUCE) are the second-largest source of anthropogenic carbon emissions, their trade-driven spatial inequality remains insufficiently understood. Hence, this study aims to develop a multi-scale model to assess LUCE inequality within China. A multi-scale carbon input-output model is integrated to evaluate LUCE from local, domestic, and foreign trade. The Gini coefficient and its decomposition are utilized to analyze the contribution of multi-scale trade to LUCE inequality. The findings indicate that LUCE in northwest China is largely related to local inputs. Meanwhile, emissions in eastern coastal regions are mainly influenced by domestic and foreign trade. The local inputs contributing to the provinces' final demand are responsible for 43 % of China's total LUCE, demonstrating a Gini coefficient of 0.46. The equalizing effect of intermediate and final trade in reducing the spatial disparity of LUCE across provinces decreases the Gini coefficient to 0.29. With the assistance of intermediate and final trade, the reduction of China's interprovincial inequality in LUCE is achieved by 33 % and 29 %, respectively. Crucially, we demonstrate that trade-integrated land management can reconcile emission efficiency with regional equity, fostering collective action essential for achieving COP29's adaptation targets. This work advances frameworks for linking market tools, spatial justice, and land-use policies in climate-vulnerable economies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Land Use Policy
ISSN
0264-8377
e-ISSN
0264-8377
Volume of the periodical
158
Issue of the periodical within the volume
NOV 2025
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
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UT code for WoS article
001578249000001
EID of the result in the Scopus database
2-s2.0-105014798929