The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012

Detalhes bibliográficos
Autor(a) principal: Vignandi, Rafaella
Data de Publicação: 2014
Outros Autores: Torezani, Tomás, Parré, José Luiz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Economia (Curitiba. Online)
Texto Completo: https://revistas.ufpr.br/economia/article/view/34189
Resumo: The purpose of this paper is to present and analyze the spatial distribution of the Krugman’s specialization index and Gini’s concentration index in relation to the sectors of manufacturing industry, of the 558 Brazilian’s micro-regions in the year of 2010. The used variable consists in the use of formal divisions that compounds the manufacturing industry. In order to detect the spatial patterns of indicators of interest behavior, corroborating, or not with the influence of the environment and space on them, spatial econometrics has been applied. The values of the global Moran's I of the two indexes imply the rejection of the null hypothesis of absence of spatial autocorrelation. Thus, there are also clusters of well-defined High-High and Low-Low patterns, and a lower number of High-Low and High-Low patterns. The obtained results allow the identification of micro-regions that showed a highly specialized productive structure and others with a high degree of diversification.
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spelling The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012Krugman’s specialization index; Gini’s concentration index; clustersThe purpose of this paper is to present and analyze the spatial distribution of the Krugman’s specialization index and Gini’s concentration index in relation to the sectors of manufacturing industry, of the 558 Brazilian’s micro-regions in the year of 2010. The used variable consists in the use of formal divisions that compounds the manufacturing industry. In order to detect the spatial patterns of indicators of interest behavior, corroborating, or not with the influence of the environment and space on them, spatial econometrics has been applied. The values of the global Moran's I of the two indexes imply the rejection of the null hypothesis of absence of spatial autocorrelation. Thus, there are also clusters of well-defined High-High and Low-Low patterns, and a lower number of High-Low and High-Low patterns. The obtained results allow the identification of micro-regions that showed a highly specialized productive structure and others with a high degree of diversification.UFPRVignandi, RafaellaTorezani, TomásParré, José Luiz2014-04-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/economia/article/view/3418910.5380/re.v40i1.34189Revista de Economia; v. 40, n. 1 (2014)2316-93970556-578210.5380/re.v40i1reponame:Revista de Economia (Curitiba. Online)instname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/economia/article/view/34189/24254info:eu-repo/semantics/openAccess2015-04-17T17:53:51Zoai:revistas.ufpr.br:article/34189Revistahttps://revistas.ufpr.br/economiaPUBhttps://revistas.ufpr.br/economia/oaire@ufpr.br2316-93970556-5782opendoar:2015-04-17T17:53:51Revista de Economia (Curitiba. Online) - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
title The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
spellingShingle The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
Vignandi, Rafaella
Krugman’s specialization index; Gini’s concentration index; clusters
title_short The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
title_full The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
title_fullStr The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
title_full_unstemmed The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
title_sort The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
author Vignandi, Rafaella
author_facet Vignandi, Rafaella
Torezani, Tomás
Parré, José Luiz
author_role author
author2 Torezani, Tomás
Parré, José Luiz
author2_role author
author
dc.contributor.none.fl_str_mv
dc.contributor.author.fl_str_mv Vignandi, Rafaella
Torezani, Tomás
Parré, José Luiz
dc.subject.por.fl_str_mv Krugman’s specialization index; Gini’s concentration index; clusters
topic Krugman’s specialization index; Gini’s concentration index; clusters
description The purpose of this paper is to present and analyze the spatial distribution of the Krugman’s specialization index and Gini’s concentration index in relation to the sectors of manufacturing industry, of the 558 Brazilian’s micro-regions in the year of 2010. The used variable consists in the use of formal divisions that compounds the manufacturing industry. In order to detect the spatial patterns of indicators of interest behavior, corroborating, or not with the influence of the environment and space on them, spatial econometrics has been applied. The values of the global Moran's I of the two indexes imply the rejection of the null hypothesis of absence of spatial autocorrelation. Thus, there are also clusters of well-defined High-High and Low-Low patterns, and a lower number of High-Low and High-Low patterns. The obtained results allow the identification of micro-regions that showed a highly specialized productive structure and others with a high degree of diversification.
publishDate 2014
dc.date.none.fl_str_mv 2014-04-30
dc.type.none.fl_str_mv
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.ufpr.br/economia/article/view/34189
10.5380/re.v40i1.34189
url https://revistas.ufpr.br/economia/article/view/34189
identifier_str_mv 10.5380/re.v40i1.34189
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/economia/article/view/34189/24254
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFPR
publisher.none.fl_str_mv UFPR
dc.source.none.fl_str_mv Revista de Economia; v. 40, n. 1 (2014)
2316-9397
0556-5782
10.5380/re.v40i1
reponame:Revista de Economia (Curitiba. Online)
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Revista de Economia (Curitiba. Online)
collection Revista de Economia (Curitiba. Online)
repository.name.fl_str_mv Revista de Economia (Curitiba. Online) - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv re@ufpr.br
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