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Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang

文献类型：期刊论文

作者Wang, Changjian4; Wang, Fei3; Zhang, Xinlin2; Yang, Yu1; Su, Yongxian4; Ye, Yuyao4; Zhang, Hongou4
刊名RENEWABLE & SUSTAINABLE ENERGY REVIEWS
出版日期2017
卷号67期号:N/A页码:51-61
关键词Carbon emissions Xinjiang STIRPAT model Driving factors
ISSN号1364-0321
DOI10.1016/j.rser.2016.09.006
英文摘要Analysis of driving factors of energy related carbon emissions from the regional perspective is necessary and helpful for China to achieve its reduction targets. An extended STIRPAT model based on the classical IPAT identity was used to determine the main driving factors for energy related carbon emissions in Xinjiang. In order to get the best understanding of driving factors on carbon emissions during 1952-2012, we divided the process into 3 stages, such as "Before Reform and Opening up" (1952-1978), "After Reform and Opening up" (1978-2000), and "Western Development" (2000-2012). Research results show that the impacts and influences of various factors on carbon emissions are different in the three different development stages. Before the Reform and Opening up (1952-1977), carbon intensity and population size are the two dominant contributors to the carbon emissions increments, while energy consumption structure is the important influencing factor in curbing carbon emissions. After the Reform and Opening up (1978-2000), economic growth and population size are the two dominant contributors to the carbon emissions increments, while carbon intensity plays the important negative effect on carbon emissions. During the Western Development (2001-2012), fixed assets investment and economic growth are the two dominant contributors to the carbon emissions increments, while carbon intensity plays the important negative effect on carbon emissions. Solving these problems effectively will be of great help for Xinjiang to harmonize economic growth and carbon emissions reduction, even environmental damage reduction. (C) 2016 Elsevier Ltd. All rights reserved.
WOS关键词CO2 EMISSIONS ; DIOXIDE EMISSIONS ; CLIMATE-CHANGE ; SUSTAINABLE DEVELOPMENT ; POLICY RECOMMENDATIONS ; NONORTHOGONAL PROBLEMS ; INDUSTRIAL-STRUCTURE ; PROVINCIAL REGIONS ; RIDGE REGRESSION ; OECD COUNTRIES
资助项目National Natural Science Foundation of China[41371141] ; National Natural Science Foundation of China[41430636] ; High-level Leading Talent Introduction Program of GDAS[2016GDASRC-0101] ; National Natural Science Foundation of China[41401132] ; National Natural Science Foundation of China[41501144] ; National Key Research and Development Program[2016YFA0602801] ; Guangdong Academy of Sciences Youth Science Foundation[qnjj201501] ; Natural Science Foundation of Guangdong Province, China[2015A030313809] ; Foundation of Director of Guangzhou Institute of Geography[030] ; Scientific Platform and Innovation Capability Construction Program of GDAS[2016GDASPT-0210]
WOS研究方向Energy & Fuels
语种英语
WOS记录号WOS:000389088900004
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/65709]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Nanjing Normal Univ, Sch Geog Sci, Nanjing 210046, Jiangsu, Peoples R China
3.Xinjiang Normal Univ, Sch Geog Sci & Tourism, Urumqi 830054, Peoples R China
4.Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Guangdong, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Changjian,Wang, Fei,Zhang, Xinlin,et al. Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang[J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS,2017,67(N/A):51-61.
APA Wang, Changjian.,Wang, Fei.,Zhang, Xinlin.,Yang, Yu.,Su, Yongxian.,...&Zhang, Hongou.(2017).Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,67(N/A),51-61.
MLA Wang, Changjian,et al."Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 67.N/A(2017):51-61.

入库方式： OAI收割

来源：地理科学与资源研究所

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