TY - JOUR
T1 - Will income inequality affect environmental quality? Analysis based on China's provincial panel data
AU - Hao, Yu
AU - Chen, Heyin
AU - Zhang, Qianxue
N1 - Publisher Copyright:
© 2016 Elsevier Ltd. All rights reserved.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - During the last two decades of China's rapid economic growth, the gap in citizens' income has widened and environmental quality has deteriorated. Using Gini coefficients as the measure of income inequality, this study investigated the impacts of income inequality on carbon emissions per capita in China. To control for potential endogeneity and allow for dynamics, the Generalized Method of Moments (GMM) technique is utilized. Moreover, the influential factors that can affect carbon emissions per capita in China have been examined. The empirical results indicate that carbon emissions per capita increase as the income gap expands for nationwide and in the eastern and non-eastern regions of China. Among all factors that may affect carbon emissions per capita, a "U" shaped relationship exists between per capita income and per capita carbon emissions, and increasing the value-added share of secondary industry in the GDP would significantly increase carbon emissions per capita.
AB - During the last two decades of China's rapid economic growth, the gap in citizens' income has widened and environmental quality has deteriorated. Using Gini coefficients as the measure of income inequality, this study investigated the impacts of income inequality on carbon emissions per capita in China. To control for potential endogeneity and allow for dynamics, the Generalized Method of Moments (GMM) technique is utilized. Moreover, the influential factors that can affect carbon emissions per capita in China have been examined. The empirical results indicate that carbon emissions per capita increase as the income gap expands for nationwide and in the eastern and non-eastern regions of China. Among all factors that may affect carbon emissions per capita, a "U" shaped relationship exists between per capita income and per capita carbon emissions, and increasing the value-added share of secondary industry in the GDP would significantly increase carbon emissions per capita.
KW - Carbon emissions per capita
KW - China
KW - Income inequality
KW - Provincial panel data
UR - http://www.scopus.com/inward/record.url?scp=84962023327&partnerID=8YFLogxK
U2 - 10.1016/j.ecolind.2016.03.025
DO - 10.1016/j.ecolind.2016.03.025
M3 - Article
AN - SCOPUS:84962023327
SN - 1470-160X
VL - 67
SP - 533
EP - 542
JO - Ecological Indicators
JF - Ecological Indicators
ER -