The Dynamics of Locational Patterns of Brazilian Manufacturing industry in 2012
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
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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Revista de Economia (Curitiba. Online) |
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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 |
_version_ |
1797067451853176832 |