提高渔业碳排放效率,发挥减碳潜力,对实现渔业经济可持续发展和“双碳”目标至关重要,而长江经济带渔业碳排放的发展态势则对全国有重要的示范和引领作用。本文基于“双碳”视角,采用社会网络分析法探讨了长江经济带渔业碳排放效率的空间网络特征,并结合公平视角分析了减排潜力。得出以下结论：（1） 渔业碳排放效率不均衡,网络关联度东高西低。（2）网络关系紧密、连通性强、空间溢出性明显,网络密度稳定,传递性上升,区域协同程度高,网络效率有提升空间。江浙沪在网络中占主导地位,联系迅速,控制性强,起到节点和中介作用;长江中下游碳排放效率较高。（3） 受益板块集中在长江下游,双向溢出板块在中下游,经纪人板块在中游,净溢出板块在中上游。上海和江苏有效规模最大,限制程度最低,节点独立性最强;安徽和江西有效规模最小。（4） 江苏、湖北、重庆、上海、四川的减碳潜力在降低,云南有所提升,其他省份较稳定。（5）Markov链分析显示,考察期t=1时,减碳潜力稳定;随着考察期增加,低、中低、中高水平的减碳潜力向更高水平演进的概率增加。

Enhancing the carbon emission efficiency of the fishery industry in the Yangtze River Economic Belt and fully leveraging its carbon reduction potential is of significant importance for achieving sustainable development in the fishery economy and the "dual carbon" goals, and the development of carbon emissions in the Yangtze River Economic Belt's fishery sector plays a crucial leading role nationwide. This paper, from the perspective of the "dual carbon" goals, utilizes social network analysis to thoroughly investigate the spatial network characteristics of carbon emission efficiency in the Yangtze River Economic Belt's fishery sector. Furthermore, it examines the carbon reduction potential in the Yangtze River Economic Belt's fishery sector from an equity perspective, integrating the analysis of fishery carbon emission efficiency. The following conclusion can be drawn. (1) The efficiency of carbon emissions in the fishery sector is characterized by imbalances, with network connectivity showing higher values in the east and lower in the west. (2) The network relationships are characterized by tightness, connectivity, and spatial spillover effects. Network density remains relatively stable, while network transitivity shows an upward trend. There is a high degree of collaboration between regions, and network efficiency still has room for improvement. The three Provinces of Jiangsu, Zhejiang, and Shanghai dominate the network, quickly establishing connections with other provinces, exerting strong control, and acting as nodes and intermediaries. Overall, carbon emission efficiency levels are excellent in the mid-to-lower reaches of the Yangtze River. (3) Beneficiary regions are concentrated in the lower reaches of the Yangtze River. Bidirectional spillover regions are mainly in the mid-to-lower reaches, broker regions are primarily in some cities in the middle reaches, and net spillover regions are concentrated in the mid-to-upper reaches. Shanghai and Jiangsu have the largest effective scale, the lowest degree of restriction, and the highest node independence, while Anhui and Jiangxi have the smallest effective scale.(4) Regarding the carbon reduction potential in the fishery sector of the Yangtze River Economic Belt, the potential in Jiangsu, Hubei, Chongqing, Shanghai, and Sichuan has been continuously declining, while Yunnan's potential has increased, and the potential in the other four provinces has remained relatively stable. (5) According to the Markov chain analysis of the carbon reduction potential in the fishery sector of the Yangtze River Economic Belt, the potential is relatively stable when the observation period t=1. As the observation period increases, the probabilities of low, medium-low, and medium-high levels of carbon reduction potential evolving to higher levels increase significantly.