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dc.contributor.authorGarcia Algarra, J.
dc.contributor.authorGómez Bengoechea, G.
dc.contributor.authorMouronte López, Mary Luz 
dc.date.accessioned2020-09-21T07:42:09Z
dc.date.available2020-09-21T07:42:09Z
dc.date.issued2020
dc.identifier.issn1076-2787spa
dc.identifier.urihttp://hdl.handle.net/10641/1974
dc.description.abstractInternational trade, the network that underpins globalization, shows an extreme inequality. Despite efforts of multilateral organizations to foster a more fair world through trade agreements, it is hard to assess the effect of these changes on such a complex system. We have measured, using numerical simulation on a recently published network model, the impact of simple policies to boost trade chances among the weakest economies. Results suggest that global inequality may be reduced improving trade among low-income economies.spa
dc.language.isoengspa
dc.publisherComplexityspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleReducing Trade Inequality: A Network-Based Assessment.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent3064 KBspa
dc.identifier.doi10.1155/2020/1593215spa
dc.relation.publisherversionhttps://www.hindawi.com/journals/complexity/2020/1593215/spa


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