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China's CO2 emission intensity and its drivers: An evolutionary Geo-Tree approach
Zhou, Yannan1,2,3; Poon, Jessie4; Yang, Yu1,2,3
2021-08-01
Source PublicationRESOURCES CONSERVATION AND RECYCLING
ISSN0921-3449
Volume171Pages:12
Corresponding AuthorYang, Yu(yangyu@igsnrr.ac.cn)
AbstractCurrent studies have focused on China's CO2 emission intensity (CEI); however, its geospatial temporal effect is still not clear. Here, we constructed an evolutionary Geo-tree model in combination with spatial econometrics to examine geospatial temporal processes affecting CEI. The Geo-tree provides a schema to geovisualize the effects of CEI' s drivers from 1990 to 2016. Spatial econometric outputs indicate that affluence or economic development as well as low-carbon technology has significant inhibitory effects on CEI. Furthermore, the direct inhibitory effect of affluence strengthened over time. In contrast, energy consumption structure and innovation represented by patent raise CEI. While the positive effect decreased over time for energy consumption as coal consumption fell, it remained relatively stable for patent level. Urbanization level as well as industrial development are also positive but not significant in 2006-2016. When the spatial model analysis is combined with the evolutionary Geo-tree, the geovisualization model depicts a taller green tree over time with denser foliage at the crown. As the spatial econometrics results suggest, such evolution towards a lower carbon economy among a number of provinces is likely explained by affluence and, to a lesser extent, the adoption of low-carbon technology. Geo-tree also shows that many provinces are relatively urbanized by 2016 which explains why this factor has no effect in the second period.
KeywordCarbon emission intensity Evolutionary geo-tree Spatiotemporal processes CEI drivers
DOI10.1016/j.resconrec.2021.105630
WOS KeywordCARBON-DIOXIDE EMISSIONS ; ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; EMPIRICAL-ANALYSIS ; IMPACT ; POPULATION ; INDUSTRY ; URBANIZATION ; TECHNOLOGY ; INCOME
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFA0602800] ; National Natural Science Foundation of China[41871118] ; National Natural Science Foundation of China[42022007] ; Development Special Fund Project of Guangdong Academy of Sciences[2020GDASYL-20200102002] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2018069]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Development Special Fund Project of Guangdong Academy of Sciences ; Youth Innovation Promotion Association, Chinese Academy of Sciences
WOS Research AreaEngineering ; Environmental Sciences & Ecology
WOS SubjectEngineering, Environmental ; Environmental Sciences
WOS IDWOS:000667310900015
PublisherELSEVIER
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/163804
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Yu
Affiliation1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Inst Strategy Res Guangdong Hong Kong Macao Great, Guangzhou 510006, Peoples R China
4.Univ Buffalo SUNY, Dept Geog, Buffalo, NY 14261 USA
Recommended Citation
GB/T 7714
Zhou, Yannan,Poon, Jessie,Yang, Yu. China's CO2 emission intensity and its drivers: An evolutionary Geo-Tree approach[J]. RESOURCES CONSERVATION AND RECYCLING,2021,171:12.
APA Zhou, Yannan,Poon, Jessie,&Yang, Yu.(2021).China's CO2 emission intensity and its drivers: An evolutionary Geo-Tree approach.RESOURCES CONSERVATION AND RECYCLING,171,12.
MLA Zhou, Yannan,et al."China's CO2 emission intensity and its drivers: An evolutionary Geo-Tree approach".RESOURCES CONSERVATION AND RECYCLING 171(2021):12.
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