City size and competitiveness for the cities of São Paulo: a spatial statistics analysis

Detalhes bibliográficos
Autor(a) principal: Porto, Paulo Costacurta de Sá
Data de Publicação: 2017
Outros Autores: Rocha, Francisco Marcelo Monteiro da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Inovação (Online)
Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8650853
Resumo: The objective of this article is to develop a competitiveness index for the 645 cities of the state of São Paulo, Brazil (ICM-SP). We ranked cities according to the overall competitiveness index and each one of the five dimensions of competitiveness: urban/environmental, sociodemographic, fiscal/institutional, economic and innovation. Additionally, we performed an Exploratory Spatial Data Analysis (ESDA) in the ICM-SP. Our results show that cities with similar competitiveness levels tend to locate near each other, which show the presence of spatial clusters in the state of São Paulo. The cluster of cities with high competitiveness spill over from the São Paulo Metropolitan Region to the Campinas Metropolitan Region, reaching another cluster around Ribeirão Preto. Moreover, we found that cities with the highest competitiveness indexes are mostly midsized cities, in general part of metropolitan areas led by one or more large cities. Regarding the five dimensions of competitiveness, we noted that cities with high urban/environmental and sociodemographic competitiveness are composed mostly of medium sized cities. Smaller cities tend to perform better in the fiscal/institutional dimension, whereas larger and midsized cities tend to excel in the economic dimension. In the innovation dimension, we noticed a cluster of cities with high performance which spillover from São José dos Campos to São Paulo and to Campinas, plus another cluster surrounding Ribeirão Preto.
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spelling City size and competitiveness for the cities of São Paulo: a spatial statistics analysisTamanho da cidade e competitividade dos municípios de São Paulo: uma análise de estatística espacialCompetitividade Municipal. Índice de Competitividade. Análise Espacial de Dados Exploratória. InovaçãoR11R15R58City competitiveness. Competitiveness index. Exploratory spatial data analysis. Innovation.R11R15R58The objective of this article is to develop a competitiveness index for the 645 cities of the state of São Paulo, Brazil (ICM-SP). We ranked cities according to the overall competitiveness index and each one of the five dimensions of competitiveness: urban/environmental, sociodemographic, fiscal/institutional, economic and innovation. Additionally, we performed an Exploratory Spatial Data Analysis (ESDA) in the ICM-SP. Our results show that cities with similar competitiveness levels tend to locate near each other, which show the presence of spatial clusters in the state of São Paulo. The cluster of cities with high competitiveness spill over from the São Paulo Metropolitan Region to the Campinas Metropolitan Region, reaching another cluster around Ribeirão Preto. Moreover, we found that cities with the highest competitiveness indexes are mostly midsized cities, in general part of metropolitan areas led by one or more large cities. Regarding the five dimensions of competitiveness, we noted that cities with high urban/environmental and sociodemographic competitiveness are composed mostly of medium sized cities. Smaller cities tend to perform better in the fiscal/institutional dimension, whereas larger and midsized cities tend to excel in the economic dimension. In the innovation dimension, we noticed a cluster of cities with high performance which spillover from São José dos Campos to São Paulo and to Campinas, plus another cluster surrounding Ribeirão Preto.O objetivo deste artigo é desenvolver um índice de competitividade para os 645 municípios do estado de São Paulo (ICM-SP). As cidades foram classificadas de acordo com um índice de competitividade geral e segundo cinco dimensões da competitividade. Além disso, foi realizada uma análise espacial de dados exploratória (AEDE) com os dados do ICM-SP. Os resultados mostram que cidades com níveis de competitividade semelhantes tendem a se situar próximas umas das outras, o que demonstra a presença de clusters espaciais no estado de São Paulo. O aglomerado de cidades com alta competitividade se estende da Região Metropolitana de São Paulo até a Região Metropolitana de Campinas, chegando a um cluster em torno de Ribeirão Preto. Verificou-se também que as cidades com os maiores índices de competitividade são, na sua maioria, de médio porte, em geral parte de áreas metropolitanas lideradas por uma ou mais cidades grandes. Quanto às cinco dimensões da competitividade, aquela referente à alta competitividade urbana/ambiental e sociodemográfica engloba, principalmente, cidades médias. Já as menores tendem a ter um melhor desempenho na dimensão fiscal/institucional, enquanto as grandes e médias tendem a se destacar na dimensão econômica. Na dimensão da inovação, observa-se um conjunto de cidades com alto desempenho que se espalham de São José dos Campos para São Paulo e para Campinas, além de um outro cluster em torno de Ribeirão Preto.Universidade Estadual de Campinas2017-10-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa quantitativa e qualitativaPesquisa quantitativa e qualitativaapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/865085310.20396/rbi.v16i4.8650853Revista Brasileira de Inovação; Vol. 17 No. 1 (2018); 63-88Revista Brasileira de Inovação; Vol. 17 Núm. 1 (2018); 63-88Revista Brasileira de Inovação; v. 17 n. 1 (2018); 63-882178-2822reponame:Revista Brasileira de Inovação (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPenghttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8650853/29727https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8650853/17239Copyright (c) 2018 Revista Brasileira de Inovaçãohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPorto, Paulo Costacurta de SáRocha, Francisco Marcelo Monteiro da2022-08-09T15:45:32Zoai:ojs.periodicos.sbu.unicamp.br:article/8650853Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/rbiPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/rbi/oai||rbi@ige.unicamp.br2178-28221677-2504opendoar:2022-08-09T15:45:32Revista Brasileira de Inovação (Online) - Universidade Estadual de Campinas (UNICAMP)false
dc.title.none.fl_str_mv City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
Tamanho da cidade e competitividade dos municípios de São Paulo: uma análise de estatística espacial
title City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
spellingShingle City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
Porto, Paulo Costacurta de Sá
Competitividade Municipal. Índice de Competitividade. Análise Espacial de Dados Exploratória. Inovação
R11
R15
R58
City competitiveness. Competitiveness index. Exploratory spatial data analysis. Innovation.
R11
R15
R58
title_short City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
title_full City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
title_fullStr City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
title_full_unstemmed City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
title_sort City size and competitiveness for the cities of São Paulo: a spatial statistics analysis
author Porto, Paulo Costacurta de Sá
author_facet Porto, Paulo Costacurta de Sá
Rocha, Francisco Marcelo Monteiro da
author_role author
author2 Rocha, Francisco Marcelo Monteiro da
author2_role author
dc.contributor.author.fl_str_mv Porto, Paulo Costacurta de Sá
Rocha, Francisco Marcelo Monteiro da
dc.subject.por.fl_str_mv Competitividade Municipal. Índice de Competitividade. Análise Espacial de Dados Exploratória. Inovação
R11
R15
R58
City competitiveness. Competitiveness index. Exploratory spatial data analysis. Innovation.
R11
R15
R58
topic Competitividade Municipal. Índice de Competitividade. Análise Espacial de Dados Exploratória. Inovação
R11
R15
R58
City competitiveness. Competitiveness index. Exploratory spatial data analysis. Innovation.
R11
R15
R58
description The objective of this article is to develop a competitiveness index for the 645 cities of the state of São Paulo, Brazil (ICM-SP). We ranked cities according to the overall competitiveness index and each one of the five dimensions of competitiveness: urban/environmental, sociodemographic, fiscal/institutional, economic and innovation. Additionally, we performed an Exploratory Spatial Data Analysis (ESDA) in the ICM-SP. Our results show that cities with similar competitiveness levels tend to locate near each other, which show the presence of spatial clusters in the state of São Paulo. The cluster of cities with high competitiveness spill over from the São Paulo Metropolitan Region to the Campinas Metropolitan Region, reaching another cluster around Ribeirão Preto. Moreover, we found that cities with the highest competitiveness indexes are mostly midsized cities, in general part of metropolitan areas led by one or more large cities. Regarding the five dimensions of competitiveness, we noted that cities with high urban/environmental and sociodemographic competitiveness are composed mostly of medium sized cities. Smaller cities tend to perform better in the fiscal/institutional dimension, whereas larger and midsized cities tend to excel in the economic dimension. In the innovation dimension, we noticed a cluster of cities with high performance which spillover from São José dos Campos to São Paulo and to Campinas, plus another cluster surrounding Ribeirão Preto.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa quantitativa e qualitativa
Pesquisa quantitativa e qualitativa
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8650853
10.20396/rbi.v16i4.8650853
url https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8650853
identifier_str_mv 10.20396/rbi.v16i4.8650853
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8650853/29727
https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8650853/17239
dc.rights.driver.fl_str_mv Copyright (c) 2018 Revista Brasileira de Inovação
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Revista Brasileira de Inovação
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Campinas
publisher.none.fl_str_mv Universidade Estadual de Campinas
dc.source.none.fl_str_mv Revista Brasileira de Inovação; Vol. 17 No. 1 (2018); 63-88
Revista Brasileira de Inovação; Vol. 17 Núm. 1 (2018); 63-88
Revista Brasileira de Inovação; v. 17 n. 1 (2018); 63-88
2178-2822
reponame:Revista Brasileira de Inovação (Online)
instname:Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
instname_str Universidade Estadual de Campinas (UNICAMP)
instacron_str UNICAMP
institution UNICAMP
reponame_str Revista Brasileira de Inovação (Online)
collection Revista Brasileira de Inovação (Online)
repository.name.fl_str_mv Revista Brasileira de Inovação (Online) - Universidade Estadual de Campinas (UNICAMP)
repository.mail.fl_str_mv ||rbi@ige.unicamp.br
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