Spatiotemporal Evolution and Decoupling Effect of Fishery Carbon Emissions in Nine Coastal Provinces
Based on data from China and nine coastal provinces from 2013 to 2022,the spatiotemporal evolution of carbon emissions from national and provincial fisheries was analyzed by accounting for carbon emissions from marine fisheries.The Tapio decoupling model was used to explore the interaction between fishery carbon emissions and economic development in nine coastal provinces,and the carbon emission values of 9 coastal provinces were predicted.The results show that:(1)the carbon emissions from fisheries in China show a trend of first increasing and then decreasing,and the overall carbon emission intensity of the nine coastal provinces shows a decreasing trend year by year.(2)The overall carbon emissions of the nine coastal provinces are characterized by"high in the south and low in the north",and the spatial differences are gradually decreasing.(3)During the study period,the main types of carbon emission decoupling elasticity are weak decoupling,negative growth decoupling and strong decoupling,and the strong decoupling is the main.(4)The forecast value of fisheries carbon emissions shows that the overall carbon emissions have a continuous downward trend,and the development situation is good,and it is expected to achieve the target of carbon peak in 2030.Finally,suggestions are put forward to improve fishery operation mode,optimize energy and investment structure,encourage technological innovation,and perfect policy support system,so as to achieve a win-win situation between economic growth and marine environmental protection.
Carbon emissionTemporal and spatial evolution"Double carbon"targetTapio decoupling modelCarbon peak
国家科技期刊平台
NSTL
万方数据
