Fleet Behaviour Under Economic Uncertainty: Multi‐Species Policy Scenarios for the Purse‐Seine Fishery

Alex Tidd (), Laurent Dagorn (), Mariana Travassos () and Patrice Guillotreau ()
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Alex Tidd: UMR Marbec - Station Sète - MARine Biodiversity Exploitation and Conservation - Station Ifremer Sète - UMR MARBEC - MARine Biodiversity Exploitation and Conservation - MARBEC - IRD - Institut de Recherche pour le Développement - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier
Laurent Dagorn: UMR Marbec - Station Sète - MARine Biodiversity Exploitation and Conservation - Station Ifremer Sète - UMR MARBEC - MARine Biodiversity Exploitation and Conservation - MARBEC - IRD - Institut de Recherche pour le Développement - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier
Mariana Travassos: UMR MARBEC - MARine Biodiversity Exploitation and Conservation - MARBEC - IRD - Institut de Recherche pour le Développement - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier
Patrice Guillotreau: UMR Marbec - Station Sète - MARine Biodiversity Exploitation and Conservation - Station Ifremer Sète - UMR MARBEC - MARine Biodiversity Exploitation and Conservation - MARBEC - IRD - Institut de Recherche pour le Développement - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier

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Abstract: ABSTRACT Managing fishing effort remains a central challenge in achieving sustainability in many fisheries, particularly where high‐value species attract intense competition. In the Indian Ocean tropical tuna fishery, understanding how fishers respond to changing bio‐economic conditions is essential for developing effective management. This study evaluates the influence of effort‐based management measures on the size and investment behaviour of the purse‐seine fleet targeting skipjack ( Katsuwonus pelamis ) and yellowfin tuna ( Thunnus albacares ). Using Random Utility Models (RUMs), we identify the key economic drivers of strategic decision‐making, validate them through model evaluation, and integrate them with age‐structured operating models (OMs). The RUM achieves 93% predictive accuracy, offering a robust basis for exploring policy options that balance conservation and economic objectives. Scenario testing under different cost and price conditions illustrates how economic pressures shape entry and exit decisions within the fleet.

Keywords: Entry-exit model; Tuna fishery; Indian Ocean; Random Utility Model (search for similar items in EconPapers)
Date: 2026-03-31
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Published in Fisheries Management and Ecology, 2026, ⟨10.1111/fme.70071⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05588064

DOI: 10.1111/fme.70071

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