基于2005—2015年中国大陆28个省市区的面板数据,分别运用非期望产出超效率SBM模型、GIS空间分析法和莫兰指数对渔业全要素碳排放效率的时空差异和演变特征进行分析,并建立动态面板模型实证检验渔业碳排放效率的主要影响因素。结果表明：①中国渔业全要素碳排放效率总体上不断上升但整体水平不高,高效率省份呈现出由分散布局向东部沿海和长江流域集聚的显著趋势,东部、中部和西部的渔业碳排放效率依次递减且差距逐步减小;②在空间关联格局上,中国渔业全要素碳排放效率的空间集聚存在交叉分布,且空间依赖具有动态性,逐步形成较为明显的H-H区和L-L区集聚格局;③渔业全要素碳排放效率与渔业节能技术水平、产业结构、对外开放程度和渔业发展水平呈正相关关系,与资源禀赋呈负相关关系。
Based on the panel data of 28 provinces and cities in China in 2005-2015, the spatial-temporal difference and evolution characteristics of the total carbon emission efficiency of fishery were analyzed by using the SBM model, GIS spatial analysis method and Moran index. A dynamic panel model was established to test the main influencing factors of fishery carbon emission efficiency. The results show that: 1) the total factor carbon emission efficiency of China's fishery is on the whole rising but the overall level is not high, the high efficiency provinces present the remarkable tendency from the dispersed layout to the East coast and the Yangtze River basin, the fishery carbon emission efficiency in the east, the middle and the west decreases gradually and the gap is decreasing progressively. 2) The spatial agglomeration of the whole factor carbon emission efficiency of Chinese fishery has the cross distribution, and the spatial dependence is dynamic, which gradually forms more obvious H-H and L-L area agglomeration pattern; 3) fishery total factor carbon emission efficiency is positively correlated with fishery energy conservation level, industrial structure, opening degree and fishery development level. Negatively correlated with resources endowment.
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