Aligning Climate and Health Co-Benefits through Supply-Chain Energy Intensity Coordination in China

View at publisher
Authors: Jiao Du, Yilin Chen, Huizhong Shen, Jing Meng, Jianmin Ma, Guofeng Shen, Armistead Goode Russell, Shunliu Zhao, Amir Hakami, Shu Tao
Cited by: 0
References: 65

Abstract

The co-mitigation of carbon emissions and air pollutants offers substantial benefits but is complicated by divergent sectoral emission profiles and spatial disparities. By integrating input-output analysis with health impact source attribution, we examine how interprovincial trade redistributes CO 2 emissions and PM 2.5 -related mortality across China’s supply chains. We find that demand from economically advanced provinces induces two distinct burden-shifting patterns between carbon emissions and health burdens. Carbon emissions are outsourced to sparsely populated northwestern regions through power generation, while health burdens concentrate in the densely populated industrial manufacturing belt of central and northern China. Despite production-side divergences, we identify a notable alignment at the final production level, offering opportunities to narrow the energy intensity gap through supply chain coordination. We simulate three convergence scenarios in which upstream producers in the nonmetal, metal, and power sectors adopt energy intensities of their downstream partners. These include full convergence (100% adoption) and two partial convergence scenarios (75% and 50% adoption), with the latter constrained by national benchmark performance. Full convergence reduces trade-related CO 2 emissions by 17% (491 Mt) and averts 19% of associated mortality (3.8 × 10 4 deaths). Partial convergence scenarios still deliver meaningful co-benefits. This demonstrates that supply chain coordination offers pathways to reconciling production-side disparities and more balanced climate–health co-benefits in China.

Fields of Study & Subjects

Environmental Impact and Sustainability Climate Change Policy and Economics Energy Environment Economic Growth

Publication details

Journal / source
Environmental Science & Technology
Volume
60
Issue
3
Pages
2602–2614
Publication date
12 January 2026
Language
EN