Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives

doi:10.1016/j.apenergy.2018.11.082

	Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives
	Liu, Qianqian 1,2; Wang, Shaojian 3; Zhang, Wenzhong 1,2; Li, Jiaming 1,2; Kong, Yunlong 4
刊名	APPLIED ENERGY
	2019-02-15
卷号	236 页码:163-171
关键词	CO2 emissions Gini Global Moran's I Panel regression model
ISSN号	0306-2619
DOI	10.1016/j.apenergy.2018.11.082
通讯作者	Wang, Shaojian(wangshj8@mail.sysu.edu.cn) ; Zhang, Wenzhong(zhangwz@igsnrr.ac.cn)
英文摘要	Over 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.
资助项目	National 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]
WOS关键词	ENVIRONMENTAL KUZNETS CURVE ; ECONOMIC-GROWTH ; ENERGY-CONSUMPTION ; CARBON EMISSIONS ; CHINA ; IMPACT
WOS研究方向	Energy & Fuels ; Engineering
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000458712500015
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Pearl River S&T Nova Program of Guangzhou
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49449]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Shaojian; Zhang, Wenzhong
作者单位	1.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
推荐引用方式 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.