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Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives
Liu, Qianqian1,2; Wang, Shaojian3; Zhang, Wenzhong1,2; Li, Jiaming1,2; Kong, Yunlong4
2019-02-15
Source PublicationAPPLIED ENERGY
ISSN0306-2619
Volume236Pages:163-171
Corresponding AuthorWang, Shaojian(wangshj8@mail.sysu.edu.cn) ; Zhang, Wenzhong(zhangwz@igsnrr.ac.cn)
AbstractOver the past three decades, China has witnessed spectacular economic growth. However, behind this economic success, the country also faces serious challenges, including pressures to reduce emissions and to address imbalances in its growth. Increasing attention is thus being paid to the task of exploring the relationship between income inequality and CO2 emissions. The majority of previous studies have engaged with this question on the basis of conventional inequality measurements, neglecting the use of indexes that explicitly take into account spatial effects. In this paper, we employed two measures, the Gini coefficient and Global Moran's I, in order to estimate income inequality from non-spatial and spatial perspectives, using income data for 403 prefecture-level cities. Under the framework of Environmental Kuznets Curve hypothesis, we investigated how the level of income distribution within 30 Chinese provinces influenced that province's CO2 emissions, using panel data from 1996 to 2014 to estimate both the Gini coefficient and Global Moran's I. The empirical results show that income growth increased China's CO2 emissions during the study period, but that an inverted U-shaped relationship existed between income and emissions, thereby confirming the Environmental Kuznets Curve hypothesis. The continuously widening income gap, and especially the uneven spatial distribution of income, can thus be expected to deteriorate environmental quality and increase CO2 emissions. The effect of the self-reinforcing agglomeration of income on emissions was clearly evident. Other control factors were also shown to maintain a positive relation with CO2 emissions. Our results shed new light on the relationship between income inequality and CO2 emissions and provide support for policy makers in tackling the dual tasks of income redistribution and emissions mitigation. A more equitable income distribution, our findings suggest, may exert positive effects in relation to the mitigation of CO2 emissions in China.
KeywordCO2 emissions Gini Global Moran's I Panel regression model
DOI10.1016/j.apenergy.2018.11.082
WOS KeywordENVIRONMENTAL KUZNETS CURVE ; ECONOMIC-GROWTH ; ENERGY-CONSUMPTION ; CARBON EMISSIONS ; CHINA ; IMPACT
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601151] ; National Natural Science Foundation of China[41871170] ; Natural Science Foundation of Guangdong Province[2016A030310149] ; Pearl River S&T Nova Program of Guangzhou[201806010187]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Pearl River S&T Nova Program of Guangzhou
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Chemical
WOS IDWOS:000458712500015
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49450
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaojian; Zhang, Wenzhong
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
3.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,et al. Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives[J]. APPLIED ENERGY,2019,236:163-171.
APA Liu, Qianqian,Wang, Shaojian,Zhang, Wenzhong,Li, Jiaming,&Kong, Yunlong.(2019).Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives.APPLIED ENERGY,236,163-171.
MLA Liu, Qianqian,et al."Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives".APPLIED ENERGY 236(2019):163-171.
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