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.
Bibliographical noteFunding Information:
Work on this paper is supported by an Australian Government Research Training Program (RTP) scholarship , a University Postgraduate Award (UPA) and Asian Development Bank Institute . The authors acknowledge the helpful comments from Youngho Chang and other participants of an ADBI workshop (Tokyo, November 2019) and two anonymous referees of the Journal.