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City-level climate change mitigation in China
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Number of Authors: 172018 (English)In: Science Advances, E-ISSN 2375-2548, Vol. 4, no 6, article id eaaq0390Article in journal (Refereed) Published
Abstract [en]

As national efforts to reduce CO2 emissions intensify, policy-makers need increasingly specific, subnational information about the sources of CO2 and the potential reductions and economic implications of different possible policies. This is particularly true in China, a large and economically diverse country that has rapidly industrialized and urbanized and that has pledged under the Paris Agreement that its emissions will peak by 2030. We present new, city level estimates of CO2 emissions for 182 Chinese cities, decomposed into 17 different fossil fuels, 46 socioeconomic sectors, and 7 industrial processes. We find that more affluent cities have systematically lower emissions per unit of gross domestic product (GDP), supported by imports from less affluent, industrial cities located nearby. In turn, clusters of industrial cities are supported by nearby centers of coal or oil extraction. Whereas policies directly targeting manufacturing and electric power infrastructure would drastically undermine the GDP of industrial cities, consumption based policies might allow emission reductions to be subsidized by those with greater ability to pay. In particular, sector based analysis of each city suggests that technological improvements could be a practical and effective means of reducing emissions while maintaining growth and the current economic structure and energy system. We explore city-level emission reductions under three scenarios of technological progress to show that substantial reductions (up to 31%) are possible by updating a disproportionately small fraction of existing infrastructure.

Place, publisher, year, edition, pages
2018. Vol. 4, no 6, article id eaaq0390
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Other Social Sciences Social and Economic Geography
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URN: urn:nbn:se:su:diva-164649DOI: 10.1126/sciadv.aaq0390ISI: 000443175500016PubMedID: 29963621OAI: oai:DiVA.org:su-164649DiVA, id: diva2:1279923
Available from: 2019-01-17 Created: 2019-01-17 Last updated: 2019-01-17Bibliographically approved

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Shan, YuliHubacek, KlausZheng, BoDavis, Steven J.Mi, ZhifuLin, JintaiSchellnhuber, Hans Joachim
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Stockholm Resilience Centre
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