Knowledge Licensing in a Model of R&D-driven Endogenous Growth [WP]

dc.contributor.authorJerbashian, Vahagn
dc.date.accessioned2014-03-24T11:40:10Z
dc.date.available2014-03-24T11:40:10Z
dc.date.issued2014
dc.date.updated2014-03-24T11:40:10Z
dc.description.abstractIn this paper I present an endogenous growth model where the engine of growth is in-house R&D performed by high-tech firms. I model knowledge (patent) licensing among high-tech firms. I show that if there is knowledge licensing, high-tech firms innovate more and economic growth is higher than in cases when there are knowledge spillovers or there is no exchange of knowledge among high-tech firms. However, in case when there is knowledge licensing the number of high-tech firms is lower than in cases when there are knowledge spillovers or there is no exchange of knowledge.
dc.format.extent78 p.
dc.format.mimetypeapplication/pdf
dc.identifier.issn1136-8365
dc.identifier.urihttps://hdl.handle.net/2445/52845
dc.language.isoeng
dc.publisherUniversitat de Barcelona. Facultat d'Economia i Empresa
dc.relation.isformatofReproducció del document publicat a: http://www.ub.edu/ubeconomics/knowledge-licensing-in-a-model-of-rddriven-endogenous-growth/
dc.relation.ispartofUB Economics – Working Papers, 2014, E14/304
dc.relation.ispartofseries[WP E-Eco14/304]
dc.rightscc-by-nc-nd, (c) Jerbashian, 2014
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.sourceUB Economics – Working Papers [ERE]
dc.subject.classificationIndicadors tecnològics
dc.subject.classificationRecerca industrial
dc.subject.classificationInnovacions tecnològiques
dc.subject.classificationCompetència econòmica
dc.subject.otherTechnology indicators
dc.subject.otherIndustrial research
dc.subject.otherTechnological innovations
dc.subject.otherCompetition
dc.titleKnowledge Licensing in a Model of R&D-driven Endogenous Growth [WP]
dc.typeinfo:eu-repo/semantics/workingPaper

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Carregant...
Miniatura
Nom:
E14-304_Jerbashian.pdf
Mida:
930.22 KB
Format:
Adobe Portable Document Format