Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52186
DC FieldValueLanguage
dc.contributor.authorSanchez-Zazueta, Edgar
dc.contributor.authorMartinez-Cordero, Francisco Javier
dc.contributor.authorHernández, Juan M.
dc.contributor.otherHernandez, Juan
dc.date.accessioned2018-11-25T18:10:05Z-
dc.date.available2018-11-25T18:10:05Z-
dc.date.issued2013
dc.identifier.issn1365-7305
dc.identifier.urihttp://hdl.handle.net/10553/52186-
dc.description.abstractCredit management (funding source with its specific interest rate, its timing, and amount) and its trade, affect feasibility of commercial shrimp farming. To analyze optimal trade credit management, an existing bioeconomic model of a semi-intensive shrimp farm (139 hectares with 44 earthen ponds) located in Sinaloa, Mexico, was extended to create a framework that assesses the decision-making problem related to funding from input suppliers (feed and postlarvae) during one culture cycle, integrating stochastic factors like shrimp mortality and pond water temperature. Through the application of Monte Carlo simulation and genetic algorithm-based optimization techniques, results show that the minimum funding cost is US$15,710 (for an operation budget of US$603,790), 27% lower than alternative funding scenarios (P-value <0.001). Although framed at the firm level, this approach optimizes any funding planning scenario in short-term credit management, particularly in funding schemes involving input suppliers. Further research is needed to relate credit management at the firm level with other elements of the value chain.
dc.publisher1365-7305
dc.relation.ispartofAquaculture, Economics and Management
dc.sourceAquaculture Economics and Management[ISSN 1365-7305],v. 17, p. 360-379
dc.subject.otherStrategies
dc.subject.otherStocking
dc.subject.otherFlow
dc.titleCredit management analysis of semi-intensive shrimp farming in mexico
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1080/13657305.2013.825931
dc.identifier.scopus84886888456
dc.identifier.isi000325512600002
dcterms.isPartOfAquaculture Economics & Management
dcterms.sourceAquaculture Economics & Management[ISSN 1365-7305],v. 17 (4), p. 360-379
dc.contributor.authorscopusid35178394200
dc.contributor.authorscopusid6602492526
dc.contributor.authorscopusid7403026151
dc.description.lastpage379
dc.description.firstpage360
dc.relation.volume17
dc.type2Artículoes
dc.identifier.wosWOS:000325512600002
dc.contributor.daisngid7226869
dc.contributor.daisngid4134731
dc.contributor.daisngid1765491
dc.identifier.investigatorRIDD-7096-2013
dc.contributor.wosstandardWOS:Sanchez-Zazueta, E
dc.contributor.wosstandardWOS:Martinez-Cordero, FJ
dc.contributor.wosstandardWOS:Hernandez, JM
dc.date.coverdateOctubre 2013
dc.identifier.ulpgces
dc.description.sjr0,211
dc.description.sjrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR TIDES: Economía, medioambiente, sostenibilidad y turismo-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-6897-5179-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameHernández Guerra, Juan María-
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