Guangdong University of Foreign Studies, Guangzhou 510006, PR China.
Guangdong University of Finance & Economics, Guangzhou 510320, PR China.
Sci Total Environ. 2020 May 10;716:134439. doi: 10.1016/j.scitotenv.2019.134439. Epub 2019 Oct 4.
By establishing a two-stage model, this paper captures the optimal strategies for clean technology to advance green transition upon various scenarios. Based on theoretical analysis, we conclude that carbon taxes could stimulate innovation and green transition as well as subsidies when technology is mature. On the other hand, the effectiveness of carbon taxes decreases with immature technology. Meanwhile, both energy price fluctuation and innovation risk deter the development of clean technology, while the negative effects are much more significant at the second stage than those at the first stage. In addition, subsidies in both periods show much more significant impacts on the second stage than those on the first stage, while firms face more uncertainty and risk in the first stage. To advance green transition efficiently, the optimal incentive strategy is to allocate more subsidies in the first stage instead of in the second stage.
本文通过建立两阶段模型,捕捉了清洁技术在不同情境下推动绿色转型的最优策略。基于理论分析,我们得出结论,碳税可以在技术成熟时刺激创新和绿色转型,同时也可以刺激技术成熟时的补贴。另一方面,碳税的有效性随着技术的不成熟而降低。同时,能源价格波动和创新风险都阻碍了清洁技术的发展,而在第二阶段的负面影响比在第一阶段更为显著。此外,两个时期的补贴对第二阶段的影响都比第一阶段更为显著,而企业在第一阶段面临着更大的不确定性和风险。为了有效地推进绿色转型,最优的激励策略是在第一阶段分配更多的补贴,而不是在第二阶段。