CO2;
emissions;
economic policy uncertainty;
World Uncertainty Index;
ARDL model;
United States;
KUZNETS CURVE HYPOTHESIS;
ENERGY-CONSUMPTION;
INCOME;
GROWTH;
INVESTMENT;
D O I:
10.3390/su12219108
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
This paper aims to examine the effects of economic policy uncertainty (measured by the World Uncertainty Index-WUI) on the level of CO2 emissions in the United States for the period from 1960 to 2016. For this purpose, we consider the unit root test with structural breaks and the autoregressive-distributed lag (ARDL) model. We find that the per capita income promotes CO2 emissions in the long run. Similarly, the WUI measures are positively associated with CO2 emissions in the long run. Energy prices negatively affect CO2 emissions both in the short run and the long run. Possible implications of climate change are also discussed.
机构:
Stanford Univ, Dept Econ, Stanford, CA 94305 USA
Univ London London Sch Econ & Polit Sci, Ctr Econ Performance, London WC2A 2AE, England
NBER, Cambridge, MA 02138 USAStanford Univ, Dept Econ, Stanford, CA 94305 USA
机构:
Erciyes Univ, Fac Econ & Adm Sci, Dept Econ, Kayseri, TurkeyGuangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510006, Peoples R China
Ulucak, Recep
;
Khan, Salah-Ud-Din
论文数: 0引用数: 0
h-index: 0
机构:
King Saud Univ, Coll Engn, Sustainable Energy Technol SET Ctr, Riyadh, Saudi ArabiaGuangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510006, Peoples R China
机构:
Stanford Univ, Dept Econ, Stanford, CA 94305 USA
Univ London London Sch Econ & Polit Sci, Ctr Econ Performance, London WC2A 2AE, England
NBER, Cambridge, MA 02138 USAStanford Univ, Dept Econ, Stanford, CA 94305 USA
机构:
Erciyes Univ, Fac Econ & Adm Sci, Dept Econ, Kayseri, TurkeyGuangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510006, Peoples R China
Ulucak, Recep
;
Khan, Salah-Ud-Din
论文数: 0引用数: 0
h-index: 0
机构:
King Saud Univ, Coll Engn, Sustainable Energy Technol SET Ctr, Riyadh, Saudi ArabiaGuangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510006, Peoples R China