Determinants and spatial dependence of innovation in Brazilian regions: evidence from a Spatial Tobit Model :
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Data de Publicação: | 2019 |
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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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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 |
_version_ |
1799711059769032704 |