Recently, there has been growing concern about the impacts of geopolitical tension as well as economic and political uncertainties on the decision-making process of governments when it comes to allocating resources for renewable energy R&D. This paper employs the panel autoregressive distributed lag (ARDL), cross-sectional panel autoregressive distributed lag (CS-ARDL) and Fully Modified Ordinary Least Squares (FMOLS) technique to examine the impacts of geopolitical risk, economic and political uncertainties, renewable energy technologies innovations, government financial affordability and CO2 emissions on government spending on renewable energy research and development projects. The novel aspects of the panel ARDL and CS-ARDL methodologies lie in their ability to capture both short-run and long-run dynamics within a panel data framework, as well as their ability to provide a more comprehensive understanding of the relationships under investigation. The empirical results presented in this paper indicate that in the face of ongoing geopolitical tension, as well as economic and political uncertainties, financially capable governments continue to increase their investments in renewable energy R&D in the long run. This strategic move aims to safeguard the supply of renewable energy, uphold economic and political policy credibility, maintain a first-mover advantage, and establish control over the intellectual property rights associated with renewable energy technology.