Trading policy,practice and prospect on marine carbon sequestration in China
Marine carbon sequestration trading is the inherent requirement and effective mechanism for marine eco-civilization development,maritime economic strategy.The research compares and analyzes the policies and practices of China's marine carbon sequestration trading,and looks forward its future development tendency.It is pointed points out that under the framework of the national Dual Carbon goals,especially in"1+N"policy,the top-level system of China's marine carbon sequestration trading has initially formed.Many relevant industry standards have been introduced and implemented at the national level.Then at the local level,some regions have introduced and implemented marine carbon sequestration calculation guidelines or methodologies of typical marine carbon sequestration.In addition,the operational policy of marine carbon sequestration trading is gradually being formulated.Furthermore,some areas have carried out exploratory practices of marine carbon sequestration trading,including mangroves,bivalves,macroalgae,salt marshes,and other trading targets.The trading methods being practiced include purchase,insurance,credit loans,auctions,and other means.The policy development and exploratory trading of marine carbon sequestrations have accumulated valuable experience for more standardized trading of marine carbon sequestrations in the future.However,issues such as non-standard processes,non-standard verification and reports,lack of trading platforms,and the low-price nature,have led to the slow progress of the optimal allocation of carbon resources and the transformation of marine economy.As such,the research recommends on how marine carbon sequestrations trading should be promoted in the future,including the inclusion of marine carbon sequestrations into the China Certified Emission Reduction(CCER)-based trading system,the improvement of operational policies focusing on methodological development,and the optimization of trading processes,methods,platforms,etc.
万方数据
维普
