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City-level climate change mitigation in China
Shan, Yuli1,2; Guan, Dabo2,3; Hubacek, Klaus4,5,6; Zheng, Bo3,7; Davis, Steven J.3,8,9; Jia, Lichao10; Liu, Jianghua11; Liu, Zhu2,3; Fromer, Neil12; Mi, Zhifu13; Meng, Jing14; Deng, Xiangzheng15,16; Li, Yuan2,17; Lin, Jintai18; Schroeder, Heike2; Weisz, Helga19,20,21; Schellnhuber, Hans Joachim19,22
2018-06-01
Source PublicationSCIENCE ADVANCES
ISSN2375-2548
Volume4Issue:6Pages:15
Corresponding AuthorGuan, Dabo(dabo.guan@uea.ac.uk) ; Davis, Steven J.(sjdavis@uci.edu) ; Li, Yuan(y.li4@uea.ac.uk)
AbstractAs 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.
DOI10.1126/sciadv.aaq0390
WOS KeywordGREENHOUSE-GAS EMISSIONS ; CARBON-DIOXIDE EMISSIONS ; FIRED POWER-PLANTS ; CLUSTER-ANALYSIS ; CO2 EMISSIONS ; ENERGY USE ; DEVELOPING-COUNTRIES ; CITIES ; UNCERTAINTIES ; URBANIZATION
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2016YFA0602604] ; National Key R&D Program of China[2016YFA0602500] ; Natural Science Foundation of China[71533005] ; Natural Science Foundation of China[51502103] ; Natural Science Foundation of China[71503156] ; Natural Science Foundation of China[41629501] ; Natural Science Foundation of China[41501605] ; Social Science Foundation of China[15CJY058] ; UK Economic and Social Research Council[ES/L016028/1] ; Natural Environment Research Council[NE/N00714X/1] ; British Academy Grant[AF150310] ; Philip Leverhulme Prize
Funding OrganizationNational Key R&D Program of China ; Natural Science Foundation of China ; Social Science Foundation of China ; UK Economic and Social Research Council ; Natural Environment Research Council ; British Academy Grant ; Philip Leverhulme Prize
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000443175500016
PublisherAMER ASSOC ADVANCEMENT SCIENCE
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54375
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGuan, Dabo; Davis, Steven J.; Li, Yuan
Affiliation1.Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China
2.Univ East Anglia, Sch Int Dev, Tyndall Ctr Climate Change Res, Water Secur Res Ctr, Norwich NR4 7TJ, Norfolk, England
3.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100080, Peoples R China
4.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
5.Masryk Univ, Dept Environm Studies, Jogtova 10, Brno 60200, Czech Republic
6.IIASA, Schlosspl 1, A-2361 Laxenburg, Austria
7.UVSQ, CNRS, Lab Sci Climat & Environm, CEA,UMR8212, Paris, France
8.Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA
9.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
10.Huazhong Univ Sci & Technol, Sch Mat Sci & Engn, State Key Lab Mat Proc & Die & Mould Technol, Wuhan 430074, Hubei, Peoples R China
11.Shanghai Univ Finance & Econ, Sch Urban & Reg Sci, Inst Finance & Econ Res, Shanghai 200433, Peoples R China
12.CALTECH, Resnick Sustainabil Inst, Pasadena, CA 91125 USA
13.UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England
14.Univ Cambridge, Dept Polit & Int Studies, Cambridge CB3 9DT, England
15.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
16.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
17.Jinan Univ, Coll Econ, Guangzhou 510632, Guangdong, Peoples R China
18.Peking Univ, Sch Phys, Lab Climate & Ocean Atmosphere Studies, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China
19.Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany
20.Humboldt Univ, Dept Cultural Hist & Theory, Unter Linden 6, D-10117 Berlin, Germany
21.Humboldt Univ, Dept Social Sci, Unter Linden 6, D-10117 Berlin, Germany
22.Univ Potsdam, Stockholm Resilience Ctr, Stockholm, Sweden
Recommended Citation
GB/T 7714
Shan, Yuli,Guan, Dabo,Hubacek, Klaus,et al. City-level climate change mitigation in China[J]. SCIENCE ADVANCES,2018,4(6):15.
APA Shan, Yuli.,Guan, Dabo.,Hubacek, Klaus.,Zheng, Bo.,Davis, Steven J..,...&Schellnhuber, Hans Joachim.(2018).City-level climate change mitigation in China.SCIENCE ADVANCES,4(6),15.
MLA Shan, Yuli,et al."City-level climate change mitigation in China".SCIENCE ADVANCES 4.6(2018):15.
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