Research on the economic influence of reproductive energy green credential trading mechanism depended on recursive dynamic model

Fecha de publicación: 22/11/2024
Fuente: Journal of Sustainable Development
Abstract
This research has established a dynamic CGE model focusing on the interconnected connection between energy, environment, and economy in China. By specifically examining the power sector and incorporating a mandatory green credential trading system within the reproducible energy electricity use guarantee mechanism, the study evaluates the economic implications of such a policy. The findings suggest that compulsory green credential trading may promote the rise of the new energy sector by replacing traditional electricity price subsidies. However, it falls short in significantly reducing carbon emissions, with a projected maximum national decrease of only 3.804% by 2030 compared to the baseline scenario. The effectiveness of green credential trading is directly influenced by the targets set within the reproducible energy use guarantee mechanism. For instance, enhancing wind power use goals can boost the wind power industry but may also disrupt the green credential market and hinder resource allocation efficiency. In light of these outcomes, several policy recommendations are proposed: (1) Strengthening the enforcement mechanisms of the reproducible energy use guarantee system to ensure the success of green credential trading; (2) Exploring more flexible deal modes for green credentials while maintaining their environmental integrity; (3) Establishing appropriate minimum thresholds for wind power use responsibilities and directing investments towards emerging reproducible energy sectors like offshore wind power to optimize resource utilization. In conclusion, by implementing these policy suggestions, China can enhance its transition towards a more continuable and efficient energy landscape while fostering innovation in reproducible energy technologies.