Decarbonizing China’s Urban Agglomerations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F19%3A00107185" target="_blank" >RIV/00216224:14230/19:00107185 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/24694452.2018.1484683" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/24694452.2018.1484683</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/24694452.2018.1484683" target="_blank" >10.1080/24694452.2018.1484683</a>
Alternative languages
Result language
angličtina
Original language name
Decarbonizing China’s Urban Agglomerations
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50704 - Environmental sciences (social aspects)
Result continuities
Project
<a href="/en/project/GA16-17978S" target="_blank" >GA16-17978S: Vulnerability and the Economy-Energy Nexus at the Sector Level: A Historic, Input-Output and CGE Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Annals of the American Association of Geographers
ISSN
2469-4452
e-ISSN
2469-4460
Volume of the periodical
109
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
20
Pages from-to
266-285
UT code for WoS article
000461358200016
EID of the result in the Scopus database
2-s2.0-85055718392