A novel approach to stochastic input-output modeling

cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationBioversity Internationalen
cg.creator.identifierMarta Kozicka: 0000-0002-2323-3689
cg.identifier.doihttps://doi.org/10.1051/ro/2018046en
cg.isijournalISI Journalen
cg.issn0399-0559en
cg.issue4en
cg.journalRAIRO-Operations Researchen
cg.reviewStatusPeer Reviewen
cg.subject.bioversityOPTIMIZATION METHODSen
cg.subject.bioversitySTOCHASTIC MODELSen
cg.subject.bioversityECONOMIC ANALYSISen
cg.volume53en
dc.contributor.authorKozicka, M.en
dc.date.accessioned2019-08-30T12:12:56Zen
dc.date.available2019-08-30T12:12:56Zen
dc.identifier.urihttps://hdl.handle.net/10568/103474
dc.titleA novel approach to stochastic input-output modelingen
dcterms.abstractAn approach to input-output modeling is proposed in which the inner consumption and the final demand are random. The main aspects of its novelty are: (a) the economy is allowed to be nonproductive with a certain probability ϰ ∈ [0,1); (b) the economy can be open, which means that import of the corresponding commodities is included in the model. In this approach, the production-and-import plan is set to be feasible if the probability of not satisfying the final demand does not exceed a certain value α ∈ (0,1). Then the problem of finding optimal plans consists in minimizing the production and import costs on the set of feasible plans. The solvability of this problem and properties of the solutions are studied and a concrete example of the stochastic input-output model is analyzed.en
dcterms.accessRightsLimited Access
dcterms.available2019-07-29
dcterms.bibliographicCitationKozicka, M. (2019) A novel approach to stochastic input-output modeling. RAIRO-Operations Research 53 (4) p. 1155-1169. ISSN: 0399-0559en
dcterms.extentp. 1155-1169en
dcterms.issued2019-10
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherEDP Sciencesen
dcterms.subjectoptimization methodsen
dcterms.subjectstochastic modelsen
dcterms.subjecteconomic analysisen
dcterms.subjectproduction functionen
dcterms.typeJournal Article

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