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dc.contributor.authorBoulanger, Pierrees_ES
dc.contributor.authorDudu, Hasanes_ES
dc.contributor.authorFerrari, Emanuelees_ES
dc.contributor.authorPhilippidis, Georgees_ES
dc.date.accessioned2016-05-04T12:34:48Z-
dc.date.available2016-05-04T12:34:48Z-
dc.date.issued2016es_ES
dc.identifier.citationJournal Of Agricultural Economicsen
dc.identifier.issn0021-857X*
dc.identifier.urihttp://hdl.handle.net/10532/3247-
dc.description.abstractIn the summer of 2014 Russia imposed a ban on most agri-food products from countries enforcing Ukraine-related sanctions against Russia. We use a specific factors computable general equilibrium (CGE) model to simulate the short-run impact of this retaliatory policy. The baseline is carefully designed to isolate the impacts of the ban on the European Union (EU), Russia itself and a selection of key trade partners. The modelling of the ban follows a novel approach, where it is treated as a loss of established trade preferences via reductions in consumer utility in the Armington import function. Not surprisingly, the results indicate that Russia bears the highest income loss (about €3.4 billion) while the EU recovers part of its lost trade through expansion of exports to other markets. An ex-post comparison between simulation results and observed trade data reveals the model predictions to be broadly accurate, thereby validating the robustness of the modelling approach.en
dc.language.isoenes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectCGEen
dc.subjectEuropean Unionen
dc.subjectRussiaen
dc.subjectTradeen
dc.subject.otherEconomía agroalimentariaes_ES
dc.titleRussian roulette at the trade table: a specific factors CGE analysis of an agri-food import banen
dc.typeJournal Contribution*
dc.subject.agrovocOferta y demandaes
dc.subject.agrovocUnión Europeaes
dc.subject.agrovocRusiaes
dc.subject.agrovocComercio internacionales
dc.description.statusPublishedes_ES
dc.type.refereedNon-Refereedes_ES
dc.type.specifiedArticlees_ES
dc.bibliographicCitation.titleJournal of Agricultural Economicsen
dc.relation.doiDOI: 10.1111/1477-9552.12156es_ES
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