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City-level climate change mitigation in China

  • 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,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.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Yuli ShanORCiD, Dabo Guan, Klaus HubacekORCiD, Bo ZhengORCiD, Steven J. DavisORCiD, Lichao Jia, Jianghua Liu, Zhu LiuORCiD, Neil Fromer, Zhifu MiORCiD, Jing MengORCiD, Xiangzheng Deng, Yuan Li, Jintai LinORCiD, Heike Schroeder, Helga Weisz, Hans Joachim SchellnhuberORCiDGND
URN:urn:nbn:de:kobv:517-opus4-471541
DOI:https://doi.org/10.25932/publishup-47154
ISSN:1866-8372
Titel des übergeordneten Werks (Deutsch):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (1096)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:14.01.2021
Erscheinungsjahr:2018
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:14.01.2021
Freies Schlagwort / Tag:carbon-dioxide emissions; cluster analysis; co2 emissions; combustion; energy use; fired power plants; inventory; methodology; uncertainties; urbanization
Ausgabe:1096
Seitenanzahl:18
Quelle:Science Advances 4(2018) 6, eaaq0390; DOI: 10.1126/sciadv.aaq0390
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
Peer Review:Referiert
Publikationsweg:Open Access / Green Open-Access
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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