Uncovering trajectories and impact factors of CO2 emissions: A sectoral and spatially disaggregated revisit in Beijing

doi:10.1016/j.techfore.2020.120124

	Uncovering trajectories and impact factors of CO2 emissions: A sectoral and spatially disaggregated revisit in Beijing
	Li, Zhihui 1,2,3,4; Deng, Xiangzheng 1,2,3,4; Peng, Lu 1,2,3,4
刊名	TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
	2020-09-01
卷号	158 页码:10
关键词	CO2 emissions Driving factors STIRPAT model Panel data analysis District level
ISSN号	0040-1625
DOI	10.1016/j.techfore.2020.120124
通讯作者	Li, Zhihui(lizhihui@igsnrr.ac.cn)
英文摘要	To clarify trajectories and impact factors for CO2 emissions is critical to emissions reduction, especially at finer sectoral and spatial resolutions. We statistically disaggregated city-level sectoral CO2 emissions to districts of Beijing during 2004-2013 and examined the impact factors using an extended STIRPAT model. Results revealed that CO(2 )emissions decreased in manufacturing sector, while increased in residential and transportation sectors, which were promising fields for emissions reduction. Spatial dynamics of district-level CO2 emissions indicated that industrial carbon reduction should focus on not only core urban area but also the new merged hotspot districts. The impact estimations indicating by elastic coefficients revealed that population size (0.6, 0.49, 1.06), GDP per capita (0.63, 0.56, 0.8), energy intensity (0.93, 0.86, 0.96) and secondary industrialization level (0.36, 0.8, 0.88) can lead to increase in total, industrial and transportation CO2 emissions, while urban land area size (- 0.47, -0.24, -0.81) exerted negative effects on them. In addition, private vehicle ownership (0.45) positively affect transportation CO2 emissions. Residential CO2 emissions were positively influenced by urban land area size (0.44), urbanization level (0.18), population density (0.49) and private vehicle ownership (0.11). Given these findings, policy recommendations for CO2 emissions reduction and mitigation were suggested for low-carbon urban development.
资助项目	National Key Research and Development Program of China[2016YFA0602500] ; Asia-Pacific Network for Global Change Research (APN)[CRRP2017-01MY-Marcotullio]
WOS关键词	GREENHOUSE-GAS EMISSIONS ; CARBON-DIOXIDE EMISSIONS ; ENERGY-CONSUMPTION ; STIRPAT MODEL ; DRIVING FORCES ; GHG EMISSIONS ; URBAN FORMS ; CHINA ; CITY ; DRIVERS
WOS研究方向	Business & Economics ; Public Administration
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000554927000012
资助机构	National Key Research and Development Program of China ; Asia-Pacific Network for Global Change Research (APN)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/158226]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Zhihui
作者单位	1.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Li, Zhihui,Deng, Xiangzheng,Peng, Lu. Uncovering trajectories and impact factors of CO2 emissions: A sectoral and spatially disaggregated revisit in Beijing[J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,2020,158:10.
APA	Li, Zhihui,Deng, Xiangzheng,&Peng, Lu.(2020).Uncovering trajectories and impact factors of CO2 emissions: A sectoral and spatially disaggregated revisit in Beijing.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,158,10.
MLA	Li, Zhihui,et al."Uncovering trajectories and impact factors of CO2 emissions: A sectoral and spatially disaggregated revisit in Beijing".TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 158(2020):10.