IGSNRR OpenIR
Regional Distribution of Carbon Intensity and its Driving Factors in China: An Empirical Study Based on Provincial Data
Wu, Rongwei1,2; Dong, Jiefang3; Zhou, Liang4,5; Zhang, Lu1,2
2018
Source PublicationPOLISH JOURNAL OF ENVIRONMENTAL STUDIES
ISSN1230-1485
Volume27Issue:3Pages:1331-1341
Corresponding AuthorZhou, Liang(zhougeo@126.com)
AbstractThe regional distribution and driving factors of total carbon emissions have been the focus of considerable research. However, carbon intensity rather than total carbon emissions has been selected as the emissions reduction index in China. The Chinese government has committed to reducing carbon intensity by 60-65% from 2005 levels. Currently, limited academic attention has been given to the regional distribution and driving factors of carbon intensity. To explore the means of achieving the carbon intensity target in China, Gini coefficients were employed in this paper to investigate regional differences in carbon intensity across 30 provinces from 1995 to 2014. Moreover, the FGLS (feasible generalized least squares) method was applied to identify the key influencing factors of carbon intensity at the national and three regional levels. The results indicate that: 1. Chinese inter-provincial Gini coefficients of carbon intensity have increased steadily in recent years, which indicates that the difference in carbon intensity between provinces in China has widened. 2. Economic growth, foreign direct investment, and trade openness were negatively correlated with carbon intensity. Conversely, coal consumption, industrial proportion, and urbanization were positively correlated with carbon intensity. Moreover, urbanization has proven to be the most important factor affecting China's carbon intensity. 3. The dominant cause of carbon intensity varies by region. In particular, the dominant cause of carbon intensity in low-and medium-level regions is urbanization. However, the dominant cause of carbon intensity in high-level regions is coal consumption. 4. Based on these empirical findings, policy recommendations to reduce carbon intensity were proposed. In summary, the improvement of urbanization quality in both low-and medium-level regions is urgently needed. However, optimizing the energy structure is essential to carbon intensity reduction in high-level regions.
Keywordcarbon intensity Gini coefficient panel date analysis FGLS China
DOI10.15244/pjoes/76364
WOS KeywordENERGY-CONSUMPTION ; DIOXIDE EMISSIONS ; CO2 EMISSIONS ; PANEL-DATA ; CONVERGENCE ; DECOMPOSITION ; URBANIZATION ; DYNAMICS ; POLICY ; LEAD
Indexed BySCI
Language英语
Funding ProjectGrant Program of Clean Development Mechanism Fund of China[2014092] ; Chinese Postdoctoral Science Foundation[2016M600121]
Funding OrganizationGrant Program of Clean Development Mechanism Fund of China ; Chinese Postdoctoral Science Foundation
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000427520400039
PublisherHARD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57207
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhou, Liang
Affiliation1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Yuncheng Univ, Dept Econ & Management, Yuncheng 044000, Peoples R China
4.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Gansu, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wu, Rongwei,Dong, Jiefang,Zhou, Liang,et al. Regional Distribution of Carbon Intensity and its Driving Factors in China: An Empirical Study Based on Provincial Data[J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES,2018,27(3):1331-1341.
APA Wu, Rongwei,Dong, Jiefang,Zhou, Liang,&Zhang, Lu.(2018).Regional Distribution of Carbon Intensity and its Driving Factors in China: An Empirical Study Based on Provincial Data.POLISH JOURNAL OF ENVIRONMENTAL STUDIES,27(3),1331-1341.
MLA Wu, Rongwei,et al."Regional Distribution of Carbon Intensity and its Driving Factors in China: An Empirical Study Based on Provincial Data".POLISH JOURNAL OF ENVIRONMENTAL STUDIES 27.3(2018):1331-1341.
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
[Wu, Rongwei]'s Articles
[Dong, Jiefang]'s Articles
[Zhou, Liang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wu, Rongwei]'s Articles
[Dong, Jiefang]'s Articles
[Zhou, Liang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wu, Rongwei]'s Articles
[Dong, Jiefang]'s Articles
[Zhou, Liang]'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.