Agglomeration within urban areas: evidence from Brazil

Detalhes bibliográficos
Autor(a) principal: SILVA, Rubens Lopes Pereira da
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFPE
Texto Completo: https://repositorio.ufpe.br/handle/123456789/34563
Resumo: The research provides an analysis of the agglomeration levels of the economic activities of the Metropolitan Region of Recife in the years of 2006 and 2011 using distance-based measures. In analyzing industries of both manufacturing and services in an intra-urban context, our research expands a literature that, in Brazil, has focused on Manufacturing and regional differences. We estimate the concentrations applying the " metric proposed by Duranton and Overman (2005). Classical measures, such as Gini or E-G index, are biased with respect to the size of the study areas. The ", being a measure based on distances, does not suffer from this bias and can be tested by statistical inference. We show that the region has a remarkable level of agglomeration: 57% and 56% of the sectors are concentrated for 2006 and 2011, respectively (68% and 71% in strict samples); results that are compatible with similar work for other countries. of the 20 most agglomerated sectors, 15 and 16 (2006 and 2011) are services. Endorsing previous research, we find that activities related to computing, law, accounting, architecture and engineering show a tendency towards localization. Three general conclusions can be extracted from the work 1) in both years, there are many more localized groups than dispersed ones; 2) there is not much difference in terms of share of localized and dispersed industries between years; 3) the tendency towards localization is fainter when firms are weighted by workforce.
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spelling SILVA, Rubens Lopes Pereira dahttp://lattes.cnpq.br/6856205799997941http://lattes.cnpq.br/3921888911294306http://lattes.cnpq.br/1129247214452992SILVEIRA NETO, Raul da MotaROCHA, Roberta de Moraes2019-10-14T17:54:08Z2019-10-14T17:54:08Z2017-02-23https://repositorio.ufpe.br/handle/123456789/34563The research provides an analysis of the agglomeration levels of the economic activities of the Metropolitan Region of Recife in the years of 2006 and 2011 using distance-based measures. In analyzing industries of both manufacturing and services in an intra-urban context, our research expands a literature that, in Brazil, has focused on Manufacturing and regional differences. We estimate the concentrations applying the " metric proposed by Duranton and Overman (2005). Classical measures, such as Gini or E-G index, are biased with respect to the size of the study areas. The ", being a measure based on distances, does not suffer from this bias and can be tested by statistical inference. We show that the region has a remarkable level of agglomeration: 57% and 56% of the sectors are concentrated for 2006 and 2011, respectively (68% and 71% in strict samples); results that are compatible with similar work for other countries. of the 20 most agglomerated sectors, 15 and 16 (2006 and 2011) are services. Endorsing previous research, we find that activities related to computing, law, accounting, architecture and engineering show a tendency towards localization. Three general conclusions can be extracted from the work 1) in both years, there are many more localized groups than dispersed ones; 2) there is not much difference in terms of share of localized and dispersed industries between years; 3) the tendency towards localization is fainter when firms are weighted by workforce.CAPESO trabalho gera e analisa evidências sobre os níveis de aglomeração das atividades econômicas da Região Metropolitana do Recife nos anos de 2006 e 2011 a partir de medidas de concentração baseadas em distância. Ao analisar setores tanto de indústrias quanto deserviços em um contexto intraurbano, esta pesquisa expande uma literatura que, no Brasil, tem focado nas manufaturas e em diferenças regionais. Os níveis de concentração foram estimados a partir da métrica " proposta por Duranton e Overman (2005). Medidas clássicas, como índice de Gini ou E-G, são viesadas para o tamanho das áreas de estudo; porém o ", por ser baseado em distâncias, não sofre desse viés e ainda pode ser testado por inferência estatística. É mostrado que a região apresenta um nível notável de aglomeração: 57% e 56% dos setores são concentrados para 2006 e 2011, respectivamente (68% e 71% em amostras estritas). Tais resultados são compatíveis com trabalhos semelhantes para outros países. Dos 20 setores mais aglomerados da RMR, 15 e 16 (2006 e 2011) são serviços. Corroborando com pesquisas anteriores, foi encontrado que atividades relacionadas a computação, advocacia, contabilidade, arquitetura e engenharia mostram tendência para concentração. De forma geral, três conclusões são extraídas do trabalho: 1) em ambos os anos, há mais setores aglomerados do que não, 2) não há muita mudança no percentual de setores aglomerados e dispersos ao longo dos anos e 3) a tendência de aglomeração torna-se mais fraca quando as firmas são ponderadas pelo emprego.porUniversidade Federal de PernambucoPrograma de Pos Graduacao em EconomiaUFPEBrasilAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/embargoedAccessAglomeraçãoDispersãoEstatística espacialAgglomeration within urban areas: evidence from Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesismestradoreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPETHUMBNAILDISSERTAÇÃO Rubens Lopes Pereira da Silva.pdf.jpgDISSERTAÇÃO Rubens Lopes Pereira da Silva.pdf.jpgGenerated Thumbnailimage/jpeg1211https://repositorio.ufpe.br/bitstream/123456789/34563/5/DISSERTA%c3%87%c3%83O%20Rubens%20Lopes%20Pereira%20da%20Silva.pdf.jpg6167e74eb108e07fce9eafb142a6c996MD55ORIGINALDISSERTAÇÃO Rubens Lopes Pereira da Silva.pdfDISSERTAÇÃO Rubens Lopes Pereira da Silva.pdfapplication/pdf1388960https://repositorio.ufpe.br/bitstream/123456789/34563/1/DISSERTA%c3%87%c3%83O%20Rubens%20Lopes%20Pereira%20da%20Silva.pdf58fe3c1af6b64b4fef659c302b3aa325MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.pt_BR.fl_str_mv Agglomeration within urban areas: evidence from Brazil
title Agglomeration within urban areas: evidence from Brazil
spellingShingle Agglomeration within urban areas: evidence from Brazil
SILVA, Rubens Lopes Pereira da
Aglomeração
Dispersão
Estatística espacial
title_short Agglomeration within urban areas: evidence from Brazil
title_full Agglomeration within urban areas: evidence from Brazil
title_fullStr Agglomeration within urban areas: evidence from Brazil
title_full_unstemmed Agglomeration within urban areas: evidence from Brazil
title_sort Agglomeration within urban areas: evidence from Brazil
author SILVA, Rubens Lopes Pereira da
author_facet SILVA, Rubens Lopes Pereira da
author_role author
dc.contributor.authorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/6856205799997941
dc.contributor.advisorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/3921888911294306
dc.contributor.advisor-coLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/1129247214452992
dc.contributor.author.fl_str_mv SILVA, Rubens Lopes Pereira da
dc.contributor.advisor1.fl_str_mv SILVEIRA NETO, Raul da Mota
dc.contributor.advisor-co1.fl_str_mv ROCHA, Roberta de Moraes
contributor_str_mv SILVEIRA NETO, Raul da Mota
ROCHA, Roberta de Moraes
dc.subject.por.fl_str_mv Aglomeração
Dispersão
Estatística espacial
topic Aglomeração
Dispersão
Estatística espacial
description The research provides an analysis of the agglomeration levels of the economic activities of the Metropolitan Region of Recife in the years of 2006 and 2011 using distance-based measures. In analyzing industries of both manufacturing and services in an intra-urban context, our research expands a literature that, in Brazil, has focused on Manufacturing and regional differences. We estimate the concentrations applying the " metric proposed by Duranton and Overman (2005). Classical measures, such as Gini or E-G index, are biased with respect to the size of the study areas. The ", being a measure based on distances, does not suffer from this bias and can be tested by statistical inference. We show that the region has a remarkable level of agglomeration: 57% and 56% of the sectors are concentrated for 2006 and 2011, respectively (68% and 71% in strict samples); results that are compatible with similar work for other countries. of the 20 most agglomerated sectors, 15 and 16 (2006 and 2011) are services. Endorsing previous research, we find that activities related to computing, law, accounting, architecture and engineering show a tendency towards localization. Three general conclusions can be extracted from the work 1) in both years, there are many more localized groups than dispersed ones; 2) there is not much difference in terms of share of localized and dispersed industries between years; 3) the tendency towards localization is fainter when firms are weighted by workforce.
publishDate 2017
dc.date.issued.fl_str_mv 2017-02-23
dc.date.accessioned.fl_str_mv 2019-10-14T17:54:08Z
dc.date.available.fl_str_mv 2019-10-14T17:54:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv https://repositorio.ufpe.br/handle/123456789/34563
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dc.publisher.none.fl_str_mv Universidade Federal de Pernambuco
dc.publisher.program.fl_str_mv Programa de Pos Graduacao em Economia
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