Abstract:
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 low-carbon 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.