中国沿海九省区渔业碳排放及脱钩效应的时空演变OACSTPCD
Spatiotemporal Evolution and Decoupling Effect of Fishery Carbon Emissions in Nine Coastal Provinces
基于2013-2022年全国以及沿海九省区数据,通过核算海洋渔业碳排放,分析了全国及部分省域渔业碳排放的时空演变特征;运用Tapio脱钩模型探讨了沿海九省区渔业碳排放量与经济发展之间的相互作用;并对沿海九省区碳排放量进行预测.结果表明:(1)从时序变化特征来看,全国渔业碳排放量呈先上升后下降的变化趋势,沿海九省区碳排放强度整体呈逐年递减的趋势;(2)从空间变化特征来看,沿海九省区碳排放量整体呈"南高北低"的分布特征,空间差异逐步减小;(3)研究期内碳排放脱钩弹性类型主要为弱脱钩、增长负脱钩、强脱钩3种状态,整体以强脱钩状态为主;(4)渔业碳排放预测结果显示,碳排放量整体呈持续下降趋势,发展情况良好,有望在2030年实现碳达峰目标.鉴于此,提出了改进渔业作业方式、优化能源和投资结构、鼓励技术创新、完善政策支持体系等建议,以期实现经济增长与海洋环境保护的双赢.
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.
孟诗晴;冯润东;韩立民;李大海;赖媛媛
青岛农业大学 经济管理学院,山东 青岛 266109中国科学院 地理科学与资源研究所,北京 100101中国海洋大学 海洋发展研究院,山东 青岛 266100
环境科学
碳排放时空演变"双碳"目标Tapio脱钩模型碳达峰
Carbon emissionTemporal and spatial evolution"Double carbon"targetTapio decoupling modelCarbon peak
《江西农业学报》 2024 (012)
93-101 / 9
中美贸易战背景下山东海洋产业发展应对措施研究(19CHYJ05);山东省建设海洋综合性国家科学中心研究(19CHYJ09);加快建设海洋强国背景下我国"深蓝渔业"发展战略研究(21&ZD100).
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