Cost-Effectiveness of Innovative Solutions to reduce Marine Litter

Data collected and generated for the calculation of a cost–benefit analysis (CBA) of MyGearTag and a Fishers Reward Program for the reduction of marine litter (two NETTAG+ innovative solutions). Data was obtained from a combination of official data sources and project-generated information: Scientific, Technical and Economic Committee for Fisheries (STECF) Annual Economic Report (using mean values for the period 2018–2022 at fleet-segment level), NetTag project deliverables (D2.2) and interviews as well as, NETTAG+ consultations with fishers’ representatives and fishing gear manufacturers (for information related to fishing gear characteristics, gear values, frequency of gear loss, time spent on gear recovery, and recovery rates). Proxy values were employed where direct observations were not available. Technical and cost data related to the MyGearTag system (unit price, training requirements, and operational characteristics) were provided or validated by NETTAG+ WP3 partners (University of Newcastle). Calculation and analysisAll calculations for CBAs were carried out by the Equalsea Lab at at the University of Santiago de Compostela (USC).本数据集专为开展MyGearTag与渔民奖励计划（Fishers Reward Program）这两项NETTAG+创新海洋垃圾减排解决方案的成本效益分析（Cost-Benefit Analysis, CBA）而收集生成。数据整合自官方数据源与项目自研信息：包括渔业科学、技术与经济委员会（Scientific, Technical and Economic Committee for Fisheries, STECF）年度经济报告（采用2018-2022年船队细分层面的均值数据）、NetTag项目可交付成果D2.2，以及访谈与NETTAG+针对渔民代表和渔具制造商开展的咨询调研，用于获取渔具特性、渔具价值、渔具丢失频率、渔具回收耗时及回收率相关信息。对于无法获取直接观测数据的场景，本数据集采用代理值进行补充。与MyGearTag系统相关的技术与成本数据（包括单价、培训需求及运行特性）由NETTAG+工作包3（WP3）合作方纽卡斯尔大学提供并验证。 成本效益分析计算与分析：所有成本效益分析相关计算均由圣地亚哥-德孔波斯特拉大学（University of Santiago de Compostela, USC）的Equalsea实验室完成。