Do economic policy uncertainty and geopolitical risk surge CO2 emissions? New insights from panel quantile regression approach

Author(s):  
Qasim Raza Syed ◽  
Roni Bhowmik ◽  
Festus Fatai Adedoyin ◽  
Andrew Adewale Alola ◽  
Noreen Khalid
2020 ◽  
Vol 12 (21) ◽  
pp. 9108 ◽  
Author(s):  
Qing Wang ◽  
Kefeng Xiao ◽  
Zhou Lu

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.


2021 ◽  
Vol 13 (8) ◽  
pp. 4166
Author(s):  
Ying Chen ◽  
Xiaoqian Shen ◽  
Li Wang

While economic growth has been the main goal of countries around the world, environmental problems such as air pollution have also arisen. Since the increase in economic uncertainty is limiting production capacity and consumers’ marginal propensity to consume, which reduces CO2 emissions, economic policy uncertainty has become one of the most important factors affecting CO2 emissions. COVID-19 has demonstrated that economic policy uncertainty reduces the enthusiasm of market participants, which, in turn, reduces energy demand and CO2 emissions. In order to further study the impact of economic policy uncertainty on air pollution, this study uses a panel model to empirically test the data for a sample of 15 countries covering the period from 1997 to 2019. According to the empirical results, we find that the economic policy uncertainty has a significant negative impact on per capita CO2 emissions. That is, the higher the uncertainty of economic policy, the lower the per capita CO2 emissions of countries. What’s more, this negative effect is larger in emerging market countries than in advanced countries.


2020 ◽  
Vol 13 (2) ◽  
pp. 33 ◽  
Author(s):  
Theodore Panagiotidis ◽  
Thanasis Stengos ◽  
Orestis Vravosinos

We examine the significance of fourty-one potential covariates of bitcoin returns for the period 2010–2018 (2872 daily observations). The recently introduced principal component-guided sparse regression is employed. We reveal that economic policy uncertainty and stock market volatility are among the most important variables for bitcoin. We also trace strong evidence of bubbly bitcoin behavior in the 2017–2018 period.


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