GIEC OpenIR  > 中国科学院广州能源研究所
Decomposition analysis on influence factors of direct household energy-related carbon emission in Guangdong provinceBased on extended Kaya identity
Wang, Wenxiu1,2; Zhao, Daiqing1; Kuang, Yaoqiu2
2016
Source PublicationENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
Volume35Issue:1Pages:298-307
AbstractThe decomposition quantitative model of household energy-related carbon emission in Guangdong is established based on the extended Kaya identity with the Logarithmic Mean Divisia Index (LMDI) method; influence factors of household energy-related carbon emission are decomposed into eight factors, energy price, average consumption propensity, and urban-rural structure of population included in the model. Results show that total direct household energy-related carbon emission in Guangdong province show increasing trend from 1995 to 2012. Oil and electric power consumption are two main source of household carbon emission. Results of decomposition show that resident's living standard has the largest contribution to the increase of carbon emission, which is the first promoting factor to household energy-related carbon emission, followed by energy use level. Energy price has the largest contribution to the reduction of carbon emission, which is the first inhibiting factor, followed by average consumption propensity. Guangdong can realize household energy-related carbon mitigation effectively by the following four measures, namely (1) Adjust energy structure, especially energy structure of power generation, enhances the proportion of nuclear power, (2) Improve energy price mechanism, (3) Optimize urban-rural structure of population, (4) Drive application of home intelligent energy management technology, to realize automatic home energy-saving control. (c) 2015 American Institute of Chemical Engineers Environ Prog, 35: 298-307, 2016
SubtypeArticle
KeywordHousehold Energy Energy-related Carbon Emission Decomposition Factors Guangdong
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1002/ep.12219
WOS Subject ExtendedEngineering ; Environmental Sciences & Ecology
WOS KeywordCO2 EMISSIONS ; CHINA ; IMPACT
Indexed BySCI ; SSCI
Language英语
WOS SubjectEngineering, Environmental ; Engineering, Chemical ; Engineering, Industrial ; Environmental Sciences
WOS IDWOS:000368696100038
Citation statistics
Document Type期刊论文
Identifierhttp://ir.giec.ac.cn/handle/344007/11007
Collection中国科学院广州能源研究所
Affiliation1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Guangdong, Peoples R China
2.Chinese Acad Sci, Guangzhou Inst Geochem, Sustainable Dev Res Ctr, Guangzhou 510640, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Wang, Wenxiu,Zhao, Daiqing,Kuang, Yaoqiu. Decomposition analysis on influence factors of direct household energy-related carbon emission in Guangdong provinceBased on extended Kaya identity[J]. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY,2016,35(1):298-307.
APA Wang, Wenxiu,Zhao, Daiqing,&Kuang, Yaoqiu.(2016).Decomposition analysis on influence factors of direct household energy-related carbon emission in Guangdong provinceBased on extended Kaya identity.ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY,35(1),298-307.
MLA Wang, Wenxiu,et al."Decomposition analysis on influence factors of direct household energy-related carbon emission in Guangdong provinceBased on extended Kaya identity".ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY 35.1(2016):298-307.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Wenxiu]'s Articles
[Zhao, Daiqing]'s Articles
[Kuang, Yaoqiu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Wenxiu]'s Articles
[Zhao, Daiqing]'s Articles
[Kuang, Yaoqiu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Wenxiu]'s Articles
[Zhao, Daiqing]'s Articles
[Kuang, Yaoqiu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.