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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Environmental Economics and Management

Policy-Oriented Pathways for Decoupling Economic Growth from Carbon Emissions in Southwest China: A GDIM Analysis of Multi-Driver Dynamics and Regional Heterogeneity

Provisionally accepted
Wan  YouweiWan Youwei*Xu  YaruXu Yaru*Pan  BinhuiPan BinhuiTang  XinfaTang Xinfa*
  • Jiangxi Science and Technology Normal University, Nanchang, China

The final, formatted version of the article will be published soon.

Southwest China, an ecologically fragile region, faces acute dual challenges of sustaining economic growth while achieving carbon mitigation targets. This study employs the Generalized Divisia Index Method (GDIM) to quantify interactions among eight drivers of CO₂ emissions in Yunnan, Guizhou, and Sichuan (2012–2023). Results reveal that GRP growth remains the dominant driver (32–39% contribution) but with declining influence, signaling partial decoupling. Crucially, output carbon intensity (CO₂/GDP) emerges as the strongest inhibitor (−26 to −30%), primarily due to industrial upgrading and clean energy transitions. Notable regional divergence is observed: per capita emissions rise in coal-dependent Guizhou but decline in hydropower-rich Yunnan and Sichuan. We propose province-specific pathways: (1) optimizing the energy structure and increasing the proportion of clean electricity; (2) Strengthen energy efficiency improvement in key industries; (3) Innovative regional collaborative emission reduction mechanism; (4) Promote low-carbon transformation of daily consumption; (5) Strengthen data foundation and capacity building. These findings provide actionable insights for low-carbon governance in developing regions with high ecological vulnerability.

Keywords: Generalized Divisia index decomposition, Carbon emission drivers, southwest China, Regional heterogeneity, Low-carbon transition

Received: 24 Sep 2025; Accepted: 27 Oct 2025.

Copyright: © 2025 Youwei, Yaru, Binhui and Xinfa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Wan Youwei, whyuv@163.com
Xu Yaru, ruuyax@163.com
Tang Xinfa, xinfatang@sina.com

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