Time-varying interactions between geopolitical risks and renewable energy consumption

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 restrictions of the direction of impact. It is shown that GPR shocks have positive impacts on RECG over time. In contrast, RECG shocks decrease GPR in the whole sample period. These results show that renewable energy is a useful tool to reduce geopolitical risks. Meanwhile, the increasing geopolitical risks tend to augment renewable energy consumption. We also provide the responses at different time horizons and during particular geopolitical events. The estimating results are robust when industrial production growth is used as a control variable. Lastly, several implications for economic policy making are discussed.

Automated summary

This study uses a time-varying parameter Bayesian vector autoregressive model to explore the dynamic relationship between geopolitical risk and renewable energy consumption growth. The results show that geopolitical risk has a positive impact on renewable energy consumption, while renewable energy consumption has a negative impact on geopolitical risk. These findings suggest that renewable energy can be a useful tool in reducing geopolitical risks.