IGSNRR OpenIR
Decarbonizing China's Urban Agglomerations
Wang, Shaojian1; Fang, Chuanglin2; Sun, Laixiang3; Su, Yongxian4; Chen, Xiuzhi5; Zhou, Chunshan1; Feng, Kuishuang3; Hubacek, Klaus3,6
2019-01-02
Source PublicationANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
ISSN2469-4452
Volume109Issue:1Pages:266-285
Corresponding AuthorWang, Shaojian(wangshj8@mail.susy.edu.cn)
AbstractChina's urban agglomerations contribute 64 percent to China's energy-related CO2 emissions and thus play a vital role in determining the future of climate change. There is little information available about city-level energy consumption and CO2 emissions; thus, we employ spatiotemporal modeling using Defense Meteorological Satellite Program/Operational Line-scan System (DMSP/OLS) nighttime light imagery. Our findings show that such agglomerations have in fact experienced a remarkable decline in CO2 emission intensity-from 0.43 t/thousand yuan to 0.20 t/thousand yuan between 1995 and 2013, which constitutes an average annual decline of 4.34 percent. Despite still very high CO2 intensities in western China, a convergence of CO2 intensities across the country has occurred over the last few decades. Using panel regression modeling, we analyze differences in the decline of CO2 emission intensities due to regional differences in socioeconomic variables such as economic growth, population, economic structure, population density, and characteristics of urbanization. Factors that have hampered the decline of CO2 intensities are the ongoing industrialization that demands the increase in the production of heavy industry, in infrastructure investment, and in housing stock.
Keywordaglomeraciones urbanas imagenes de luminosidad nocturna intensidad de la emision de CO2 modelado espaciotemporal.
DOI10.1080/24694452.2018.1484683
WOS KeywordCARBON-DIOXIDE EMISSIONS ; PEARL RIVER DELTA ; CO2 EMISSIONS ; PANEL-DATA ; DRIVING FORCES ; ENERGY-CONSUMPTION ; EMPIRICAL-ANALYSIS ; INTENSITY CHANGE ; DECOMPOSITION ; URBANIZATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41590842] ; National Natural Science Foundation of China[41601151] ; National Natural Science Foundation of China[332016] ; National Natural Science Foundation of China[71628301] ; Natural Science Foundation of Guangdong Province[2016A030310149] ; Pearl River S&T Nova Program of Guangzhou ; Czech Science Foundation under the project VEENEX (GA CR)[16-17978S]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Pearl River S&T Nova Program of Guangzhou ; Czech Science Foundation under the project VEENEX (GA CR)
WOS Research AreaGeography
WOS SubjectGeography
WOS IDWOS:000461358200016
PublisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49148
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaojian
Affiliation1.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
4.Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China
5.Chinese Acad Sci, South China Bot Garden, Key Lab Vegetat Restorat & Management Degrade Eco, Guangzhou 510650, Guangdong, Peoples R China
6.Masaryk Univ, Dept Environm Studies, Brno, Czech Republic
Recommended Citation
GB/T 7714
Wang, Shaojian,Fang, Chuanglin,Sun, Laixiang,et al. Decarbonizing China's Urban Agglomerations[J]. ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,2019,109(1):266-285.
APA Wang, Shaojian.,Fang, Chuanglin.,Sun, Laixiang.,Su, Yongxian.,Chen, Xiuzhi.,...&Hubacek, Klaus.(2019).Decarbonizing China's Urban Agglomerations.ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS,109(1),266-285.
MLA Wang, Shaojian,et al."Decarbonizing China's Urban Agglomerations".ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS 109.1(2019):266-285.
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