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Modelling innovation support systems for development

dc.contributor.authorVaz, Eric
dc.contributor.authorNoronha, Teresa de
dc.contributor.authorVicente-Galindo, Purificación
dc.contributor.authorNijkamp, Peter
dc.date.accessioned2014-06-27T10:27:27Z
dc.date.available2014-06-27T10:27:27Z
dc.date.issued2013-02-02
dc.description.abstractThe present article offers a concise theoretical conceptualization on the contribution of innovation to regional development. These concepts are closely related to geographical proximity, knowledge diffusion and filters, and clustering. Institutional innovation profiles and regional patterns of innovation are two mutually linked, novel conceptual elements in this article. Next to a theoretical framing, the paper offers also a new methodology to analyse institutional innovation profiles. Our case study addresses three Portuguese regions and their institutions, included in a web-based inventory of innovation agencies which offered the foundation for an extensive data base. This data set was analyzed by means of a recently developed Principal Coordinates Analysis followed by a Logistic Biplot approach (leading to a Voronoi mapping) to design a systemic typology of innovation structures where each institution is individually represented. There appears to be a significant difference in the regional innovation patterns resulting from the diverse institutional innovation profiles concerned. These profiles appear to be region-specific. Our conclusion highlights the main advantages in the use of the method used for policy-makers and business companies.por
dc.identifier.citationVaz, E., Noronha, T., Galindo, P., Nijkamp, P. (2013) “Modelling Innovation Support Systems for Development”, Geography Publications and Research, 51, Ryerson University, Toronto.por
dc.identifier.otherAUT: MTV00577;
dc.identifier.urihttp://hdl.handle.net/10400.1/4538
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherDigital Commonspor
dc.relationInnovation Networks in Portugal: Flow Intensity, Knowledge Spillovers and Firm Performances
dc.relation.publisherversionhttp://digitalcommons.ryerson.ca/geography/51por
dc.subjectModelling innovationpor
dc.subjectEntrepreneurshippor
dc.subjectRegional developmentpor
dc.subjectRegional innovation systemspor
dc.subjectPrincipal coordinate analysispor
dc.subjectLogistic biplotpor
dc.subjectVoronoi mappingpor
dc.subjectPublic policypor
dc.titleModelling innovation support systems for developmentpor
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInnovation Networks in Portugal: Flow Intensity, Knowledge Spillovers and Firm Performances
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCS-GEO%2F102961%2F2008/PT
oaire.citation.endPage28por
oaire.citation.startPage1por
oaire.citation.titleGeography Publications and Researchpor
oaire.citation.volume51por
oaire.fundingStream3599-PPCDT
person.familyNamede Noronha
person.givenNameMaria Teresa
person.identifier.ciencia-id5715-28B8-4D92
person.identifier.orcid0000-0003-1308-1252
person.identifier.scopus-author-id12769478800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication093d0980-3927-4292-9440-e0c3c59fcb27
relation.isAuthorOfPublication.latestForDiscovery093d0980-3927-4292-9440-e0c3c59fcb27
relation.isProjectOfPublicationfdcb1118-1076-4d06-b580-413aee1857fa
relation.isProjectOfPublication.latestForDiscoveryfdcb1118-1076-4d06-b580-413aee1857fa

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