For environmental sustainability and resource security, the global energy system requires a revolutionary transition from traditional energy to green energy resources. Therefore, this study investigates the influence of economic policy uncertainty, technological innovation, ecological governance, and economic growth on the green energy transition in China. We employed a bootstrap auto-regressive distributive lag (BARDL) model to evaluate the long-run association between the study variables from Q1-2000 to Q4-2020. The preliminary finding confirms the long-run cointegration relationship among model variables. The results show that economic policy uncertainty and economic growth negatively derive green energy transition in the long-run. In contrast, technology innovation and environmental governance positively influence the green energy transition. These findings propose strengthening of the environmental governance mechanism and technology innovation to accelerate the green energy transition in China.