WANG, Shaojian, Chuanglin FANG, Laixiang SUN, Yongxian SU, Xiuzhi CHEN, Chunshan ZHOU, Kuishuang FENG and Klaus HUBACEK. Decarbonizing China’s Urban Agglomerations. Annals of the American Association of Geographers. Abingdon: Routledge, Taylor & Francis, 2019, vol. 109, No 1, p. 266-285. ISSN 2469-4452. doi:10.1080/24694452.2018.1484683.
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Basic information
Original name Decarbonizing China’s Urban Agglomerations
Authors WANG, Shaojian (156 China), Chuanglin FANG (156 China), Laixiang SUN (840 United States of America), Yongxian SU (156 China), Xiuzhi CHEN (156 China), Chunshan ZHOU (156 China), Kuishuang FENG (840 United States of America) and Klaus HUBACEK (40 Austria, belonging to the institution).
Edition Annals of the American Association of Geographers, Abingdon, Routledge, Taylor & Francis, 2019, 2469-4452.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50704 Environmental sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.302
RIV identification code RIV/00216224:14230/19:00107185
Organization unit Faculty of Social Studies
Doi http://dx.doi.org/10.1080/24694452.2018.1484683
UT WoS 000461358200016
Keywords in English urban aglomerations; night light resolution; CO2 emissions intensity; spatiotemporal modelling
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Bc. Blanka Farkašová, učo 97333. Changed: 15/4/2019 15:30.
Abstract
China’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. Key Words: CO2 emission intensity, nighttime light imagery, spatiotemporal modeling, urban agglomerations.
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GA16-17978S, research and development projectName: Zranitelnost a ekonomicko-energetický nexus v odvětvích hospodářství - historická, Input-Output a CGE analýza (Acronym: VE2NEX)
Investor: Czech Science Foundation, Standard Projects
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