Publication

Decarbonizing China’s Urban Agglomerations

Wang, S., Fang, C., Sun, L., Su, Y., Chen, X., Zhou, C., Feng, K. & Hubacek, K., 2-Jan-2019, In : Annals of the American Association of Geographers. 109, 1, p. 266-285 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Wang, S., Fang, C., Sun, L., Su, Y., Chen, X., Zhou, C., ... Hubacek, K. (2019). Decarbonizing China’s Urban Agglomerations. Annals of the American Association of Geographers, 109(1), 266-285. https://doi.org/10.1080/24694452.2018.1484683

Author

Wang, Shaojian ; Fang, Chuanglin ; Sun, Laixiang ; Su, Yongxian ; Chen, Xiuzhi ; Zhou, Chunshan ; Feng, Kuishuang ; Hubacek, Klaus. / Decarbonizing China’s Urban Agglomerations. In: Annals of the American Association of Geographers. 2019 ; Vol. 109, No. 1. pp. 266-285.

Harvard

Wang, S, Fang, C, Sun, L, Su, Y, Chen, X, Zhou, C, Feng, K & Hubacek, K 2019, 'Decarbonizing China’s Urban Agglomerations', Annals of the American Association of Geographers, vol. 109, no. 1, pp. 266-285. https://doi.org/10.1080/24694452.2018.1484683

Standard

Decarbonizing China’s Urban Agglomerations. / Wang, Shaojian; Fang, Chuanglin; Sun, Laixiang; Su, Yongxian; Chen, Xiuzhi; Zhou, Chunshan; Feng, Kuishuang; Hubacek, Klaus.

In: Annals of the American Association of Geographers, Vol. 109, No. 1, 02.01.2019, p. 266-285.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Wang S, Fang C, Sun L, Su Y, Chen X, Zhou C et al. Decarbonizing China’s Urban Agglomerations. Annals of the American Association of Geographers. 2019 Jan 2;109(1):266-285. https://doi.org/10.1080/24694452.2018.1484683


BibTeX

@article{35973a3c76f34e9cabfc308c361fdc21,
title = "Decarbonizing China’s Urban Agglomerations",
abstract = "China’s urban agglomerations contribute 64 percent to China’s energy-related CO 2 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 CO 2 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 CO 2 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 CO 2 intensities in western China, a convergence of CO 2 intensities across the country has occurred over the last few decades. Using panel regression modeling, we analyze differences in the decline of CO 2 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 CO 2 intensities are the ongoing industrialization that demands the increase in the production of heavy industry, in infrastructure investment, and in housing stock.",
keywords = "aglomeraciones urbanas, im{\'a}genes de luminosidad nocturna, intensidad de la emisi{\'o}n de CO, modelado espaciotemporal",
author = "Shaojian Wang and Chuanglin Fang and Laixiang Sun and Yongxian Su and Xiuzhi Chen and Chunshan Zhou and Kuishuang Feng and Klaus Hubacek",
year = "2019",
month = "1",
day = "2",
doi = "10.1080/24694452.2018.1484683",
language = "English",
volume = "109",
pages = "266--285",
journal = "Annals of the American Association of Geographers",
issn = "2469-4452",
number = "1",

}

RIS

TY - JOUR

T1 - Decarbonizing China’s Urban Agglomerations

AU - Wang, Shaojian

AU - Fang, Chuanglin

AU - Sun, Laixiang

AU - Su, Yongxian

AU - Chen, Xiuzhi

AU - Zhou, Chunshan

AU - Feng, Kuishuang

AU - Hubacek, Klaus

PY - 2019/1/2

Y1 - 2019/1/2

N2 - China’s urban agglomerations contribute 64 percent to China’s energy-related CO 2 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 CO 2 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 CO 2 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 CO 2 intensities in western China, a convergence of CO 2 intensities across the country has occurred over the last few decades. Using panel regression modeling, we analyze differences in the decline of CO 2 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 CO 2 intensities are the ongoing industrialization that demands the increase in the production of heavy industry, in infrastructure investment, and in housing stock.

AB - China’s urban agglomerations contribute 64 percent to China’s energy-related CO 2 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 CO 2 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 CO 2 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 CO 2 intensities in western China, a convergence of CO 2 intensities across the country has occurred over the last few decades. Using panel regression modeling, we analyze differences in the decline of CO 2 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 CO 2 intensities are the ongoing industrialization that demands the increase in the production of heavy industry, in infrastructure investment, and in housing stock.

KW - aglomeraciones urbanas

KW - imágenes de luminosidad nocturna

KW - intensidad de la emisión de CO

KW - modelado espaciotemporal

UR - http://www.scopus.com/inward/record.url?scp=85055718392&partnerID=8YFLogxK

U2 - 10.1080/24694452.2018.1484683

DO - 10.1080/24694452.2018.1484683

M3 - Article

VL - 109

SP - 266

EP - 285

JO - Annals of the American Association of Geographers

JF - Annals of the American Association of Geographers

SN - 2469-4452

IS - 1

ER -

ID: 79502746