期刊
JOURNAL OF CLEANER PRODUCTION
卷 217, 期 -, 页码 380-387出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.01.242
关键词
Income inequality; Carbon emissions; Panel ARDL model; Quantile regression
资金
- National Natural Science Foundation of China [71420107027, 71673083]
- China Scholarship Council (CSC)
Considering the short- and long-term impacts of income inequality on carbon emissions, as well as the heterogeneity of the emission distribution, this paper employs panel ARDL and quantile regression models to analyze the effect of income inequality on carbon emissions across US states. The findings suggest that higher income inequality increases US carbon emissions in the short term, whereas it promotes carbon reduction in the long term. Furthermore, we find that the absolute values for the co-efficients on income inequality in the states from the 70th to the 90th quantiles are larger than those from the 10th to the 40th quantiles. This indicates that income inequality reduces more carbon emissions in states with higher per capita carbon emissions. The results provide important insights for policy makers to improve the quality of economic development and address climate change. (C) 2019 Elsevier Ltd. All rights reserved.
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