Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Policy support has played a significant role in driving the rapid development of renewable energy technologies (RETs). This study constructed a dynamic programming model to derive the optimal policy supports for RETs, integrating both supply and demand sides. The sensitivity of policy performance on the cost and price elasticities of RET diffusion was also analyzed. The results show that policy supports could be a main force for RET development in their initial periods. In the long run, policy makers need to decrease the support level faster than the decrease in RET cost to maintain a high policy efficiency. Further improving the efficiency of policy is possible considering the influences of technical change on RET development.