Show simple item record

dc.contributor.authorBergantiño Cid, Gustavo 
dc.contributor.authorGroba Presa, Carlos 
dc.contributor.authorSartal Rodríguez, Antonio 
dc.date.accessioned2023-06-12T08:37:51Z
dc.date.available2023-06-12T08:37:51Z
dc.date.issued2023-08-16
dc.identifier.citationEuropean Journal of Operational Research, 309(1): 306-318 (2023)spa
dc.identifier.issn03772217
dc.identifier.urihttp://hdl.handle.net/11093/4914
dc.description.abstractThe tuna fishing sector has faced important regulatory restrictions for years, mainly based on the number of fish aggregating devices (FADs) allowed per vessel, which has threatened the survival of many tuna firms. Various academics have studied this issue, proposing various solutions based on the reassignment and sharing of FADs. However, previous research has focused primarily on the use of FADs and their implications, rather than actually helping to optimize the tuna fleet’s fishing activity, and possibly for this reason, none of these proposals has impacted current fishing practices. In light of this situation, our research proposes a more equitable approach: we have modeled the tuna vessel problem as a cooperative game, reallocating FADs among vessels, studying the Shapley value, and comparing the results achieved with previous proposals. Although our approach is fairly standard in the literature, it is a novel solution to a deep-rooted problem in this sector that also leads to a significant reduction in emissions associated with fuel consumption. In fact, the application of our theoretical results to real data shows that there is not only a significant scope for improvement for firms and their vessels –both gain more revenue– but also a beneficial contribution to the environment in terms of reduced fuel consumption.spa
dc.description.sponsorshipAgencia Estatal de Investigación | Ref. PID2020-113440GB-I00spa
dc.description.sponsorshipXunta de Galicia | Ref. ED431B2022/03spa
dc.description.sponsorshipUniversidade de Vigo/CISUGspa
dc.language.isoengspa
dc.publisherEuropean Journal of Operational Researchspa
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113440GB-I00/ES/TEORIA DE JUEGOS Y DESIGUALDADES ECONOMICAS
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleApplying the Shapley value to the tuna fisheryen
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.1016/j.ejor.2022.12.040
dc.identifier.editorhttps://linkinghub.elsevier.com/retrieve/pii/S0377221722010086spa
dc.publisher.departamentoEstatística e investigación operativaspa
dc.publisher.departamentoOrganización de empresas e márketingspa
dc.publisher.grupoinvestigacionECOSOT: Economía, Sociedade e Territoriospa
dc.publisher.grupoinvestigacionREDE: Investigación en Economía, Enerxía e Medio Ambientespa
dc.subject.unesco1207.06 Teoría de Juegosspa
dc.subject.unesco1209.04 Teoría y Proceso de decisiónspa
dc.subject.unesco5312.01 Agricultura, Silvicultura, Pescaspa
dc.date.updated2023-06-08T14:20:11Z
dc.computerCitationpub_title=European Journal of Operational Research|volume=309|journal_number=1|start_pag=306|end_pag=318spa


Files in this item

[PDF]

    Show simple item record

    Attribution-NonCommercial-NoDerivatives 4.0 International
    Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International