海洋碳汇渔业低碳绩效测度与时空差异性分析

Low carbon performance measurement and spatiotemporal difference analysis ofMarine carbon sink fisheries

将海洋渔业固碳量与碳排放分别视为期望与非期望产出引入碳汇渔业生产绩效分析框架,以2007-2021年中国沿海九个省份海洋渔业面板数据为样本,构建DEA-Malmquist模型评估我国沿海九个省份碳汇渔业低碳绩效指数,并分析其时空差异。研究结果表明:2008-2021年沿海九个省份碳汇渔业低碳绩效指数呈现出明显差异,碳汇渔业低碳绩效指数的提高,主要是技术进步效率指数推动的;在研究时段内,沿海九个省份碳汇渔业低碳绩效指数得到持续改善,河北省和江苏省的低碳绩效指数相对较低;碳汇渔业低碳绩效水平有一定的波动性,其增长动力比较单一,需要进一步改善技术效率,实现技术效率和技术进步的双重驱动。

Carbon sequestration and carbon emission of marine fisheries are considered as expected and unexpected outputs,respectively,and introduced into the production performance analysis framework of carbon sink fisheries.Based on the panel data of marine fisheries in nine coastal provincial-level administrative regions of China from 2007 to 2021,a DEA-Malmquist model is constructed to evaluate the low-carbon performance index of carbon sink fisheries in nine coastal provincial-level administrative regions of China,and its temporal and spatial differences are analyzed.The results show that the low-carbon performance index of carbon sink fisheries in nine coastal provincial-level administrative regions shows obvious differences,the improvement of low-carbon performance index of carbon sink fishery in nine coastal provincial-level administrative regions in China is driven by the efficiency index of technological progress;The low carbon performance index of carbon sink fisheries in nine coastal provincial-level administrative regions has been continuously improved and Hebei province and Jiangsu province have the lowest low-carbon performance index from 2008 to 2021;The lowcarbon level of carbon sink fishery fluctuates to a certain extent,and its growth momentum is relatively simple.It is necessary to further improve technical efficiency and realize the dual drive of technical efficiency and technical progress.