The consumption-based black carbon emissions of China's megacities

Meng, Jing, Mi, Zhifu, Yang, Haozhe, Shan, Yuli, Guan, Dabo and Liu, Junfeng (2017) The consumption-based black carbon emissions of China's megacities. Journal of Cleaner Production, 161. pp. 1275-1282. ISSN 0959-6526

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A growing body of literature discusses the CO2 emissions of cities. Still, little is known about black carbon (BC), a short-lived warming agent. Identifying the drivers of urban BC emissions is crucial for targeting cleanup efforts. A consumption-based approach enables all emissions to be allocated along the production chain to the product and place of final consumption, whereas a production approach attributes emissions to the place where goods and services are produced. In this study, we calculate the production-based and consumption-based emissions in 2012 in four Chinese megacities: Beijing, Shanghai, Tianjin and Chongqing. The results show that capital formation is the largest contributor, accounting for 37%–69% of consumption-based emissions. Approximately 44% of BC emissions related to goods consumed in Chongqing and more than 60% for Beijing, Shanghai and Tianjin occur outside of the city boundary. The large gap between consumption and production-based emissions can be attributed to the great difference in embodied emission intensities. Therefore, collaborative efforts to reduce emission intensity can be effective in mitigating climate change for megacities as either producers or consumers.

Item Type: Article
Uncontrolled Keywords: black carbon,megacities,input-output analysis,decomposition analysis,sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action
Faculty \ School: Faculty of Science > School of Environmental Sciences
Faculty of Social Sciences > School of Global Development (formerly School of International Development)
UEA Research Groups: Faculty of Social Sciences > Research Centres > Water Security Research Centre
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Depositing User: Pure Connector
Date Deposited: 07 Mar 2017 01:45
Last Modified: 22 Oct 2022 02:24
DOI: 10.1016/j.jclepro.2017.02.185


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