This study utilizes a time-varying parameter Bayesian vector autoregressive model to investigate the dynamic interactions between geopolitical risk (GPR) and renewable energy consumption growth (RECG). The identification strategy is flexible to accommodate cases both with and without sign...

The paper is an empirical investigation of the causal nexus between geopolitical risk and crude oil trade in the USA for the period from February 1985 to June 2018. It is innovative both in that it uses the Caldara and Iacovello (2018) geopolitical risk as well as for the time varying causality...

This paper assesses the effects of US-China political tensions on the oil market. Relying on a quantitative measure of these relationships, we investigate how their dynamics impact oil demand, supply, and prices over various periods, starting from 1971 to 2019. To this end, we estimate a...