Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013

Detalhes bibliográficos
Autor(a) principal: Céspedes, Carlos Hernán Rodas
Data de Publicação: 2019
Outros Autores: Fochezatto, Adelar
Tipo de documento: Artigo
Idioma: por
Título da fonte: Economia Aplicada
Texto Completo: https://www.revistas.usp.br/ecoa/article/view/142259
Resumo: The objective of this paper is to analyze the birth of companies in the cities of Rio Grande do Sul State between 2007 and 2013. For that, exploratory analysis of spatial data and the panel data regression were used. The results indicated the existence of spatial autocorrelation of the birth of companies and the formation of some clusters of the counties with high births of companies. The spatial autoregression (SAR) model showed the spillover effect of the birth of companies and made it possible to measure the direct and indirect impacts of the independent variables on the birth of companies.
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spelling Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013Determinantes do nascimento de empresas no Rio Grande do Sul: um modelo de dados em painel espacial, 2007-2013nascimento de empresastransbordamento espacialpainel espacialbirth of companiesspatial spilloverspatial panelThe objective of this paper is to analyze the birth of companies in the cities of Rio Grande do Sul State between 2007 and 2013. For that, exploratory analysis of spatial data and the panel data regression were used. The results indicated the existence of spatial autocorrelation of the birth of companies and the formation of some clusters of the counties with high births of companies. The spatial autoregression (SAR) model showed the spillover effect of the birth of companies and made it possible to measure the direct and indirect impacts of the independent variables on the birth of companies.O objetivo deste artigo é analisar o nascimento de empresas nos municípios do Rio Grande do Sul no período entre 2007 e 2013. Para isso, utilizam-se procedimentos da análise exploratória de dados espaciais e regressão em painel espacial. Os resultados indicaram a existência de autocorrelação espacial do nascimento de empresas e a formação de alguns clusters de municípios com altos nascimentos de empresas. O modelo de autorregressão espacial (SAR) evidenciou o efeito transbordamento do nascimento de empresas e possibilitou a mensuração dos impactos diretos e indiretos das variáveis independentes sobre o nascimento de empresas.Universidade de São Paulo, FEA-RP/USP2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/ecoa/article/view/14225910.11606/1980-5330/ea142259Economia Aplicada; Vol. 23 No. 2 (2019); 71-98Economia Aplicada; Vol. 23 Núm. 2 (2019); 71-98Economia Aplicada; v. 23 n. 2 (2019); 71-981980-53301413-8050reponame:Economia Aplicadainstname:Universidade de São Paulo (USP)instacron:USPporhttps://www.revistas.usp.br/ecoa/article/view/142259/161032Copyright (c) 2019 Economia Aplicadainfo:eu-repo/semantics/openAccessCéspedes, Carlos Hernán RodasFochezatto, Adelar2020-08-04T15:57:16Zoai:revistas.usp.br:article/142259Revistahttps://www.revistas.usp.br/ecoaPUBhttps://www.revistas.usp.br/ecoa/oai||revecap@usp.br1980-53301413-8050opendoar:2023-09-13T12:17:10.268711Economia Aplicada - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
Determinantes do nascimento de empresas no Rio Grande do Sul: um modelo de dados em painel espacial, 2007-2013
title Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
spellingShingle Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
Céspedes, Carlos Hernán Rodas
nascimento de empresas
transbordamento espacial
painel espacial
birth of companies
spatial spillover
spatial panel
title_short Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
title_full Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
title_fullStr Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
title_full_unstemmed Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
title_sort Determinants of the birth of companies in Rio Grande do Sul: a spatial panel data model, 2007-2013
author Céspedes, Carlos Hernán Rodas
author_facet Céspedes, Carlos Hernán Rodas
Fochezatto, Adelar
author_role author
author2 Fochezatto, Adelar
author2_role author
dc.contributor.author.fl_str_mv Céspedes, Carlos Hernán Rodas
Fochezatto, Adelar
dc.subject.por.fl_str_mv nascimento de empresas
transbordamento espacial
painel espacial
birth of companies
spatial spillover
spatial panel
topic nascimento de empresas
transbordamento espacial
painel espacial
birth of companies
spatial spillover
spatial panel
description The objective of this paper is to analyze the birth of companies in the cities of Rio Grande do Sul State between 2007 and 2013. For that, exploratory analysis of spatial data and the panel data regression were used. The results indicated the existence of spatial autocorrelation of the birth of companies and the formation of some clusters of the counties with high births of companies. The spatial autoregression (SAR) model showed the spillover effect of the birth of companies and made it possible to measure the direct and indirect impacts of the independent variables on the birth of companies.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
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://www.revistas.usp.br/ecoa/article/view/142259
10.11606/1980-5330/ea142259
url https://www.revistas.usp.br/ecoa/article/view/142259
identifier_str_mv 10.11606/1980-5330/ea142259
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.revistas.usp.br/ecoa/article/view/142259/161032
dc.rights.driver.fl_str_mv Copyright (c) 2019 Economia Aplicada
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Economia Aplicada
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo, FEA-RP/USP
publisher.none.fl_str_mv Universidade de São Paulo, FEA-RP/USP
dc.source.none.fl_str_mv Economia Aplicada; Vol. 23 No. 2 (2019); 71-98
Economia Aplicada; Vol. 23 Núm. 2 (2019); 71-98
Economia Aplicada; v. 23 n. 2 (2019); 71-98
1980-5330
1413-8050
reponame:Economia Aplicada
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Economia Aplicada
collection Economia Aplicada
repository.name.fl_str_mv Economia Aplicada - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||revecap@usp.br
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