MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Análise Econômica (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/44506 |
Resumo: | This paper addresses the impact of including neighboring effects to analyze the concentration status of some manufacturing sectors across the Brazilian meso-regions from 1995 through 2010. The analysis of spatially weighted indices – namely – points to a likely deconcentration process in most sectors of the Brazilian manufacturing industry in the period under study. In contrast to spatially unweighted indices, spatially weighted concentration indices proved to be more robust for addressing neighboring effects in the analysis of the (de)concentration process of the Brazilian industry. |
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MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTSMEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTSManufacturing industryDeconcentrationNeighboring effectSpaceR11R12R19Manufacturing industryDeconcentrationNeighboring effectSpaceR11R12R19This paper addresses the impact of including neighboring effects to analyze the concentration status of some manufacturing sectors across the Brazilian meso-regions from 1995 through 2010. The analysis of spatially weighted indices – namely – points to a likely deconcentration process in most sectors of the Brazilian manufacturing industry in the period under study. In contrast to spatially unweighted indices, spatially weighted concentration indices proved to be more robust for addressing neighboring effects in the analysis of the (de)concentration process of the Brazilian industry.This paper addresses the impact of including neighboring effects to analyze the concentration status of some manufacturing sectors across the Brazilian meso-regions from 1995 through 2010. The analysis of spatially weighted indices – namely – points to a likely deconcentration process in most sectors of the Brazilian manufacturing industry in the period under study. In contrast to spatially unweighted indices, spatially weighted concentration indices proved to be more robust for addressing neighboring effects in the analysis of the (de)concentration process of the Brazilian industry.UFRGS2016-03-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/4450610.22456/2176-5456.44506Análise Econômica; Vol. 34 No. 65 (2016): março de 2016Análise Econômica; v. 34 n. 65 (2016): março de 20162176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSenghttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/44506/36646Copyright (c) 2019 Análise Econômicainfo:eu-repo/semantics/openAccessVignandi, Rafaella StradiottoParré, José LuizGuimarães, Paulo de Freitas2016-05-06T16:35:39Zoai:seer.ufrgs.br:article/44506Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2016-05-06T16:35:39Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS |
title |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS |
spellingShingle |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS Vignandi, Rafaella Stradiotto Manufacturing industry Deconcentration Neighboring effect Space R11 R12 R19 Manufacturing industry Deconcentration Neighboring effect Space R11 R12 R19 |
title_short |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS |
title_full |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS |
title_fullStr |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS |
title_full_unstemmed |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS |
title_sort |
MEASURES OF INDUSTRY AGGLOMERATION IN BRAZIL: A STUDY ADDRESSING NEIGHBORING EFFECTS |
author |
Vignandi, Rafaella Stradiotto |
author_facet |
Vignandi, Rafaella Stradiotto Parré, José Luiz Guimarães, Paulo de Freitas |
author_role |
author |
author2 |
Parré, José Luiz Guimarães, Paulo de Freitas |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Vignandi, Rafaella Stradiotto Parré, José Luiz Guimarães, Paulo de Freitas |
dc.subject.por.fl_str_mv |
Manufacturing industry Deconcentration Neighboring effect Space R11 R12 R19 Manufacturing industry Deconcentration Neighboring effect Space R11 R12 R19 |
topic |
Manufacturing industry Deconcentration Neighboring effect Space R11 R12 R19 Manufacturing industry Deconcentration Neighboring effect Space R11 R12 R19 |
description |
This paper addresses the impact of including neighboring effects to analyze the concentration status of some manufacturing sectors across the Brazilian meso-regions from 1995 through 2010. The analysis of spatially weighted indices – namely – points to a likely deconcentration process in most sectors of the Brazilian manufacturing industry in the period under study. In contrast to spatially unweighted indices, spatially weighted concentration indices proved to be more robust for addressing neighboring effects in the analysis of the (de)concentration process of the Brazilian industry. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-03-02 |
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://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/44506 10.22456/2176-5456.44506 |
url |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/44506 |
identifier_str_mv |
10.22456/2176-5456.44506 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/44506/36646 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Análise Econômica info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Análise Econômica |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFRGS |
publisher.none.fl_str_mv |
UFRGS |
dc.source.none.fl_str_mv |
Análise Econômica; Vol. 34 No. 65 (2016): março de 2016 Análise Econômica; v. 34 n. 65 (2016): março de 2016 2176-5456 0102-9924 reponame:Análise Econômica (Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Análise Econômica (Online) |
collection |
Análise Econômica (Online) |
repository.name.fl_str_mv |
Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
||rae@ufrgs.br |
_version_ |
1799766267485224960 |