Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :

Detalhes bibliográficos
Autor(a) principal: Araujo, Veneziano de Castro
Data de Publicação: 2019
Outros Autores: Garcia, Renato
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Nova Economia (Online)
Texto Completo: https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4456
Resumo: This paper analyses the spatial patterns and spatial interdependencies of innovation and the role that local determinants of innovation play in Brazilian micro-regions. Specifically, it evaluates how local firms’ R&D, regional academic research, agglomeration level and local industrial specialization or diversification affect regional innovation. To analyse these factors, an empirical model based on the Knowledge Production Function (KPF) is estimated using a Spatial Autoregressive Tobit (SAR-Tobit) with Brazilian patent data. The results indicate that higher levels of regional industrial R&D imply greater innovation and that greater university research at a regional level positively impacts industrial innovation. Moreover, agglomerated and diverse regions present better innovative performance. Regarding spatial dynamics, the proximity of the most innovative microregions positively affects local innovation, which shows the existence of interregional knowledge spillovers that are associated with innovative activities. Keywords regional innovation; patents; Brazil; spatial tobit  
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spelling Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model : Determinantes e dependência espacial da inovação nas regiões brasileiras: evidências a partir de um Modelo Tobit Espacial: This paper analyses the spatial patterns and spatial interdependencies of innovation and the role that local determinants of innovation play in Brazilian micro-regions. Specifically, it evaluates how local firms’ R&D, regional academic research, agglomeration level and local industrial specialization or diversification affect regional innovation. To analyse these factors, an empirical model based on the Knowledge Production Function (KPF) is estimated using a Spatial Autoregressive Tobit (SAR-Tobit) with Brazilian patent data. The results indicate that higher levels of regional industrial R&D imply greater innovation and that greater university research at a regional level positively impacts industrial innovation. Moreover, agglomerated and diverse regions present better innovative performance. Regarding spatial dynamics, the proximity of the most innovative microregions positively affects local innovation, which shows the existence of interregional knowledge spillovers that are associated with innovative activities. Keywords regional innovation; patents; Brazil; spatial tobit  Este artigo busca analisar os determinantes da inovação, os padrões espaciais e a dependência espacial da inovação nas microrregiões brasileiras. Em concreto, ele avalia como o P&D das empresas locais, a pesquisa acadêmica regional, o nível de aglomeração e a especialização ou diversificação industrial da localidade afetam a inovação regional. Para analisar esses fatores, foi estimado um modelo empírico baseado na Função de Produção do Conhecimento (FPC) com dados de patente no Brasil por um Tobit Espacial Autoregressivo (SAR-Tobit). Os resultados indicam que níveis mais elevados de P&D Industrial Regional implicam em maior inovação e que maiores níveis de pesquisa universitária impactam positivamente a inovação na região. Além disso, regiões mais aglomeradas e diversificadas apresentam melhor desempenho inovador. Em relação à dinâmica espacial, a proximidade das microrregiões mais inovadoras afeta positivamente a inovação local, o que mostra a existência de spillovers de conhecimento inter-regionais associados inovação medida por patentes. Palavras-chave inovação regional; patentes; Brasil; tobit espacialDepartamento de Ciências Econômicas da UFMG2019-10-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4456Nova Economia; Vol. 29 No. 2 (2019): v. 29 n. 2 (2019); 375-400Nova Economia; v. 29 n. 2 (2019): v. 29 n. 2 (2019); 375-4001980-53810103-6351reponame:Nova Economia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4456/2926Copyright (c) 2018 Veneziano de Castro Araujo, Renato Garciainfo:eu-repo/semantics/openAccessAraujo, Veneziano de CastroGarcia, Renato2020-10-04T22:23:20Zoai:ojs.pkp.sfu.ca:article/4456Revistahttps://revistas.face.ufmg.br/index.php/novaeconomiaPUBhttps://revistas.face.ufmg.br/index.php/novaeconomia/oai||ne@face.ufmg.br1980-53810103-6351opendoar:2020-10-04T22:23:20Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
Determinantes e dependência espacial da inovação nas regiões brasileiras: evidências a partir de um Modelo Tobit Espacial:
title Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
spellingShingle Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
Araujo, Veneziano de Castro
title_short Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
title_full Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
title_fullStr Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
title_full_unstemmed Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
title_sort Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
author Araujo, Veneziano de Castro
author_facet Araujo, Veneziano de Castro
Garcia, Renato
author_role author
author2 Garcia, Renato
author2_role author
dc.contributor.author.fl_str_mv Araujo, Veneziano de Castro
Garcia, Renato
description This paper analyses the spatial patterns and spatial interdependencies of innovation and the role that local determinants of innovation play in Brazilian micro-regions. Specifically, it evaluates how local firms’ R&D, regional academic research, agglomeration level and local industrial specialization or diversification affect regional innovation. To analyse these factors, an empirical model based on the Knowledge Production Function (KPF) is estimated using a Spatial Autoregressive Tobit (SAR-Tobit) with Brazilian patent data. The results indicate that higher levels of regional industrial R&D imply greater innovation and that greater university research at a regional level positively impacts industrial innovation. Moreover, agglomerated and diverse regions present better innovative performance. Regarding spatial dynamics, the proximity of the most innovative microregions positively affects local innovation, which shows the existence of interregional knowledge spillovers that are associated with innovative activities. Keywords regional innovation; patents; Brazil; spatial tobit  
publishDate 2019
dc.date.none.fl_str_mv 2019-10-11
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4456
url https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4456
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4456/2926
dc.rights.driver.fl_str_mv Copyright (c) 2018 Veneziano de Castro Araujo, Renato Garcia
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Veneziano de Castro Araujo, Renato Garcia
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Departamento de Ciências Econômicas da UFMG
publisher.none.fl_str_mv Departamento de Ciências Econômicas da UFMG
dc.source.none.fl_str_mv Nova Economia; Vol. 29 No. 2 (2019): v. 29 n. 2 (2019); 375-400
Nova Economia; v. 29 n. 2 (2019): v. 29 n. 2 (2019); 375-400
1980-5381
0103-6351
reponame:Nova Economia (Online)
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Nova Economia (Online)
collection Nova Economia (Online)
repository.name.fl_str_mv Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv ||ne@face.ufmg.br
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