The purpose of this study is to uncover the impacts of macroeconomic risks on oil price uncertainty. We consider three sub-periods, the 2008 global financial crisis, post-global financial crisis, and COVID-19 crisis. A quantile regression model is employed to investigate the related impacts...

With international commitments to reduce CO2 emissions by 50-70% by 2030 and 100% by 2050-2070, the search for cost-efficient tools continues. CO2 taxes are theoretically efficient and simple, but they face public resistance. Renewable energy sources like wind power can substitute CO2 taxes, but...

In this study, we investigate the presence of asymmetric interactions between oil prices, oil price uncertainty, interest rates and unemployment in a cointegration framework. Utilizing the nonlinear auto-regressive distributed lag (NARDL) approach, we show the asymmetric responses of...