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dc.contributor.authorPrellezo, Raul
dc.date.accessioned2018-06-29T10:20:51Z-
dc.date.available2018-06-29T10:20:51Z-
dc.date.issued2017
dc.identifierISI:000398871500010
dc.identifier.citationFISHERIES RESEARCH, 2017, 190, 95-102
dc.identifier.issn0165-7836
dc.identifier.urihttp://dspace.azti.es/handle/24689/460-
dc.description.abstractInformation gathering can reduce critical uncertainties and, consequently, lead to better decisions on conservation and exploitation of fisheries. Such decisions might improve the fishing opportunities or lower their variability. However, information gathering comes at a cost. The concept of the expected value of information is based on the idea that decisions will be more accurate if the decision maker has more information. The objective of this work is to use this concept to measure and understand the economic value of fishery research surveys using the mathematical theory of the expected value of information. The Bay of Biscay anchovy fishery is used as an example, given the importance of the surveys in the assessment and management in this fishery. The paper provides a measure of the value of information obtained by research surveys. It also analyses the properties of these values, considering the methodology used, and examines the circumstances under which such calculations are adequate. The sources of subjectivity inherent to this methodology and to the general concept of information signals in the fishery assessment and management are explored. (C) 2017 Elsevier B.V. All rights reserved.
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.subjectExpected value of information
dc.subjectSignals of information
dc.subjectAnchovy
dc.subjectBay of Biscay
dc.subjectANCHOVY FISHERY
dc.subjectBISCAY ANCHOVY
dc.subjectBAY
dc.subjectMANAGEMENT
dc.subjectMODEL
dc.subjectBIOMASS
dc.titleExpected economic value of the information provided by fishery research surveys
dc.typeArticle
dc.identifier.journalFISHERIES RESEARCH
dc.format.page95-102
dc.format.volume190
dc.contributor.funderBasque Government
dc.identifier.e-issn1872-6763
dc.identifier.doi10.1016/j.fishres.2017.02.004
Aparece en las tipos de publicación: Artículos científicos



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