The impact of brazilian clusters on local development: a propensity score matching approach
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Interações (Campo Grande. Online) |
Texto Completo: | https://interacoes.ucdb.br/interacoes/article/view/2417 |
Resumo: | The theme of the article is the impact of Brazilian clusters on local development: a propensity score matching approach. The objective is to determine if there are improvements on the local development of municipalities with clusters compared to those without clusters. At the same time, the objective is to provide the explanatory factors of clustering in a territory. The methodology is Propensity Score Matching technique (ROSEMBAUM; ROBIN, 1983). The object of study are the non-metropolitan municipalities of the São Paulo State, in Brazil. Data is collected from the SEADE Foundation and the United Nations Program for the years 2009 and 2010. The results obtained show statically significant differences in the average local development (measured by well-known indexes) between municipalities with and without clusters. Municipalities with clusters achieve a higher local development than municipalities without clusters. The present paper contributes to the scant quantitative research on the impact of clusters on local development. |
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Interações (Campo Grande. Online) |
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The impact of brazilian clusters on local development: a propensity score matching approachclusterlocal developmentpropensity score matching.The theme of the article is the impact of Brazilian clusters on local development: a propensity score matching approach. The objective is to determine if there are improvements on the local development of municipalities with clusters compared to those without clusters. At the same time, the objective is to provide the explanatory factors of clustering in a territory. The methodology is Propensity Score Matching technique (ROSEMBAUM; ROBIN, 1983). The object of study are the non-metropolitan municipalities of the São Paulo State, in Brazil. Data is collected from the SEADE Foundation and the United Nations Program for the years 2009 and 2010. The results obtained show statically significant differences in the average local development (measured by well-known indexes) between municipalities with and without clusters. Municipalities with clusters achieve a higher local development than municipalities without clusters. The present paper contributes to the scant quantitative research on the impact of clusters on local development.Universidade Católica Dom Bosco2020-01-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://interacoes.ucdb.br/interacoes/article/view/241710.20435/inter.v21i1.2417Interações (Campo Grande); Interações v. 21, n. 1, jan./mar. 2020; 173-194Interações (Campo Grande); Interações v. 21, n. 1, jan./mar. 2020; 173-194Interações (Campo Grande); Interações v. 21, n. 1, jan./mar. 2020; 173-1941984-042X1518-7012reponame:Interações (Campo Grande. Online)instname:Universidade Católica Dom Bosco (UCDB)instacron:UCDBenghttps://interacoes.ucdb.br/interacoes/article/view/2417/pdfCopyright (c) 2020 Interações (Campo Grande)info:eu-repo/semantics/openAccessAlderete, María VerónicaBacic, Miguel Juan2020-09-08T21:01:26Zoai:ojs.multitemasucdb.emnuvens.com.br:article/2417Revistahttps://www.scielo.br/j/inter/PRIhttps://old.scielo.br/oai/scielo-oai.php||interacoes@ucdb.br|| igor@ucdb.br||suzantoniazzo@ucdb.br1984-042X1518-7012opendoar:2020-09-08T21:01:26Interações (Campo Grande. Online) - Universidade Católica Dom Bosco (UCDB)false |
dc.title.none.fl_str_mv |
The impact of brazilian clusters on local development: a propensity score matching approach |
title |
The impact of brazilian clusters on local development: a propensity score matching approach |
spellingShingle |
The impact of brazilian clusters on local development: a propensity score matching approach Alderete, María Verónica cluster local development propensity score matching. |
title_short |
The impact of brazilian clusters on local development: a propensity score matching approach |
title_full |
The impact of brazilian clusters on local development: a propensity score matching approach |
title_fullStr |
The impact of brazilian clusters on local development: a propensity score matching approach |
title_full_unstemmed |
The impact of brazilian clusters on local development: a propensity score matching approach |
title_sort |
The impact of brazilian clusters on local development: a propensity score matching approach |
author |
Alderete, María Verónica |
author_facet |
Alderete, María Verónica Bacic, Miguel Juan |
author_role |
author |
author2 |
Bacic, Miguel Juan |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Alderete, María Verónica Bacic, Miguel Juan |
dc.subject.por.fl_str_mv |
cluster local development propensity score matching. |
topic |
cluster local development propensity score matching. |
description |
The theme of the article is the impact of Brazilian clusters on local development: a propensity score matching approach. The objective is to determine if there are improvements on the local development of municipalities with clusters compared to those without clusters. At the same time, the objective is to provide the explanatory factors of clustering in a territory. The methodology is Propensity Score Matching technique (ROSEMBAUM; ROBIN, 1983). The object of study are the non-metropolitan municipalities of the São Paulo State, in Brazil. Data is collected from the SEADE Foundation and the United Nations Program for the years 2009 and 2010. The results obtained show statically significant differences in the average local development (measured by well-known indexes) between municipalities with and without clusters. Municipalities with clusters achieve a higher local development than municipalities without clusters. The present paper contributes to the scant quantitative research on the impact of clusters on local development. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-28 |
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://interacoes.ucdb.br/interacoes/article/view/2417 10.20435/inter.v21i1.2417 |
url |
https://interacoes.ucdb.br/interacoes/article/view/2417 |
identifier_str_mv |
10.20435/inter.v21i1.2417 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://interacoes.ucdb.br/interacoes/article/view/2417/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Interações (Campo Grande) info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Interações (Campo Grande) |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Católica Dom Bosco |
publisher.none.fl_str_mv |
Universidade Católica Dom Bosco |
dc.source.none.fl_str_mv |
Interações (Campo Grande); Interações v. 21, n. 1, jan./mar. 2020; 173-194 Interações (Campo Grande); Interações v. 21, n. 1, jan./mar. 2020; 173-194 Interações (Campo Grande); Interações v. 21, n. 1, jan./mar. 2020; 173-194 1984-042X 1518-7012 reponame:Interações (Campo Grande. Online) instname:Universidade Católica Dom Bosco (UCDB) instacron:UCDB |
instname_str |
Universidade Católica Dom Bosco (UCDB) |
instacron_str |
UCDB |
institution |
UCDB |
reponame_str |
Interações (Campo Grande. Online) |
collection |
Interações (Campo Grande. Online) |
repository.name.fl_str_mv |
Interações (Campo Grande. Online) - Universidade Católica Dom Bosco (UCDB) |
repository.mail.fl_str_mv |
||interacoes@ucdb.br|| igor@ucdb.br||suzantoniazzo@ucdb.br |
_version_ |
1799304615211040768 |