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Spatial Heterogeneity of Energy-Related CO2 Emission Growth Rates around the World and Their Determinants during 1990-2014
Fang, Yebing1,2,3; Wang, Limao1,2; Ren, Zhoupeng1,2; Yang, Yan4,5; Mou, Chufu1,2; Qu, Qiushi1,2
2017-03-01
Source PublicationENERGIES
ISSN1996-1073
Volume10Issue:3Pages:17
Corresponding AuthorWang, Limao(lmwang@igsnrr.ac.cn)
AbstractUnderstanding the spatial heterogeneity and driving force identification of energy-related CO2 emissions (ECEs) can help build consensus for mitigating CO2 emissions and designing appropriate policies. However, previous studies on ECEs that focus on both the global-regional scale and the interaction of factors have been seldom conducted. In this paper, ECE data from 143 countries from 1990 to 2014 were selected to analyze regional differences in ECE growth rates by using the coefficient of variation. Then a geographical detector was used to analyze the key determinant factors on ECE growth rates around the world and in eight types of regions. The results show that: (1) the ECE growth rate in the Organization for Economic Cooperation and Development (OECD) region is low and tended to decrease, while in the non-OECD region it is high and tended to increase; (2) the coefficient of variation and detection factor of ECE growth rates at a regional scale are higher than those at a global scale; (3) in terms of the key determinant factors, population growth rate, growth rate of per capita GDP, and energy intensity growth rate are the three key determinant factors of ECE growth rates in the OECD region and most of the non-OECD regions such as non-OECD European and Eurasian (NO-EE), Asia (NO-AS), non-OECD Americas (NO-AM). The key determinant factors in the African (NO-AF) region are population growth rates and natural gas carbon intensity growth rates. The key determinant factors of the Middle East (NO-ME) are population growth rate, coal carbon intensity growth rate and per capita GDP growth rate; (4) the determinant power of the detection factor, the population growth rate at the global scale and regional scale is the strongest, showing a significant spatial consistency. The determinant power of per capita GDP growth rate and energy intensity growth rate in the OECD region, respectively, rank second and third, also showing a spatial consistency. However, the carbon intensity growth rates of the three fossil fuels contribute little to the growth rate of ECEs, and their spatial coherence is weak; (5) from the perspective of the interaction of detection factors, six detection factors showed bilinear or non-linear enhancement at a global and a regional scale, and the determinant power of the interaction of factors was significantly enhanced; and (6) from the perspective of ecological detection, the growth rate of carbon intensity and the growth rate of natural gas carbon intensity at the global scale and NO-ME region are significantly stronger than other factors, with a significant difference in the spatial distribution of its incidence. Therefore, the OECD region should continue to reduce the growth of energy intensity, and develop alternative energy resources in the future, while those that are plagued by carbon emissions in non-OECD regions should pay more attention to the positive influence of lower population growth rates on reducing the growth rate of energy-related CO2 emissions. Reducing energy intensity growth rates and reducing, fossil energy consumption carbon intensity.
Keywordenergy-related carbon emissions determinant factors spatial heterogeneity geographical detector growth rate
DOI10.3390/en10030367
WOS KeywordSTRUCTURAL DECOMPOSITION ANALYSIS ; CARBON-DIOXIDE EMISSIONS ; DRIVERS ; CHINA ; INTENSITY ; COUNTRIES ; PERFORMANCE ; ELECTRICITY ; REGION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41301127] ; National Key Research and Development Program of China[2016YFA0602800] ; Youth Project of Humanities and Social Sciences of Ministry of Education in China[13YJCZH037]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; Youth Project of Humanities and Social Sciences of Ministry of Education in China
WOS Research AreaEnergy & Fuels
WOS SubjectEnergy & Fuels
WOS IDWOS:000398736700107
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64606
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Limao
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Anhui Normal Univ, Coll Terr Resources & Tourism, Wuhu 241003, Peoples R China
4.Chinese Acad Engn, CAE Ctr Strateg Studies, Beijing 100088, Peoples R China
5.Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China
Recommended Citation
GB/T 7714
Fang, Yebing,Wang, Limao,Ren, Zhoupeng,et al. Spatial Heterogeneity of Energy-Related CO2 Emission Growth Rates around the World and Their Determinants during 1990-2014[J]. ENERGIES,2017,10(3):17.
APA Fang, Yebing,Wang, Limao,Ren, Zhoupeng,Yang, Yan,Mou, Chufu,&Qu, Qiushi.(2017).Spatial Heterogeneity of Energy-Related CO2 Emission Growth Rates around the World and Their Determinants during 1990-2014.ENERGIES,10(3),17.
MLA Fang, Yebing,et al."Spatial Heterogeneity of Energy-Related CO2 Emission Growth Rates around the World and Their Determinants during 1990-2014".ENERGIES 10.3(2017):17.
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