This study aimed to reveal the need for efficient catching activity by comparing the efficiency of pelagic trawl fisheries in Turkey with Stochastic frontier analysis (SFA). For this purpose, data were obtained through face-to-face interviews with 19 vessels randomly selected among 82 fishing vessels during the period. Variables used for technical inefficiency (ui) were determined as professional trawling experience, the total crew, pelagic trawling subsidy rates, and the use of pelagic trawling credits. It was used the FRONTIER 4.1. for Stochastic efficiency frontier calculations developed by Coelli (2007). As a result of the study, it was revealed that an improvement of 26% was required for trawlers to become efficient. Technical efficiency in the sampled vessels ranged from 0.413 to 0.998, with an average of 0.739. According to the results, it was concluded that the efficiency of pelagic trawl fisheries could be increased due to the improvements in the existing structural conditions and the revisions to be made in the policies implemented and the subsidies provided. However, the factors affecting inefficiency seem to be influenced by internal factors such as experience in pelagic trawling, the total crew, and the most critical issue to eliminate inefficiency seems to be increasing the subsidy rate in pelagic trawlers.

In this study, it was found that the effects of engine power, total length, fuel consumption and active fishing day reduce the effect of fish catching pressure to a low level. However, other factors affecting this pressure were also included in the model. Especially when it was considered that the use of credit did not affect the efficiency, it was revealed that the increase in the subsidy rates rather than the fuel subsidy would make the trawlers more efficient.

本研究旨在通过将土耳其远洋拖网渔业的效率与随机前沿分析 (SFA) 进行比较，揭示对有效捕捞活动的需求。为此，在此期间，通过面对面采访从 82 艘渔船中随机选择的 19 艘渔船获得数据。用于技术低效率 (ui) 的变量被确定为专业拖网捕捞经验、总船员、远洋拖网捕捞补贴率和远洋拖网捕捞信用的使用。它用于 FRONTIER 4.1。用于 Coelli (2007) 开发的随机效率前沿计算。研究结果表明，拖网渔船的效率需要提高 26%。采样容器的技术效率范围为 0.413 至 0.998，平均为 0.739。根据结果​​，得出的结论是，由于现有结构条件的改善以及对实施的政策和提供的补贴进行修订，可以提高远洋拖网渔业的效率。然而，影响效率低下的因素似乎受到远洋拖网捕捞经验、船员总数等内部因素的影响，而消除低效率的最关键问题似乎是提高远洋拖网渔船的补贴率。

在这项研究中，发现发动机功率、总长度、燃料消耗和活跃捕鱼日的影响将捕鱼压力的影响降低到较低水平。然而，影响该压力的其他因素也包括在模型中。尤其是在考虑到信用使用不影响效率时，发现补贴率的增加而不是燃料补贴的增加会使拖网渔船的效率更高。