Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021)
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Redes (Santa Cruz do Sul. Online) |
Texto Completo: | https://online.unisc.br/seer/index.php/redes/article/view/19429 |
Resumo: | This paper analyzed the potential for generating formal employment in sugarcane cultivation in the micro-regions of the states of Minas Gerais, São Paulo, Paraná, Mato Grosso do Sul and Goiás (2019 to 2021). The Normalized Concentration Index (NCI) was estimated using the Locational Quotient, the Hirschman-Herfindahl index and the Relative Share index. The construct to verify patterns of concentration or spatial dispersion in the sector was developed using information on formal employment obtained from RAIS. The data shows that in 2019, of the 156 micro-regions surveyed, 38 showed minimal densification, representing 84.58% of the jobs in the sugarcane sector. Of this total, 34 micro-regions were characterized as being specialized (NCI>1). In 2020, 38 micro-regions indicated minimum densification, representing 83.94% of the jobs allocated to the sector, and of these, 34 had an NCI above one, being considered specialized in the employment of labor for sugarcane cultivation. Similarly to previous years, 38 micro-regions showed minimal densification in 2021, which represented 84% of the jobs allocated to the sector, and 34 of these micro-regions were considered specialized, with an NCI above one. The micro-regions with the most specialized agglomeration in the employment of formal labor in the sugarcane sector are in São Paulo state. |
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Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021)Clusters Productivos del sector de la caña de azúcar en el mercado laboral formal: un análisis por microrregiones brasileñas (2019 a 2021)Aglomerações Produtivas do setor canavieiro no mercado de trabalho formal: uma análise por microrregiões brasileiras (2019 a 2021)Productive agglomerationsSugarcaneFormal workBrazilian micro-regionsAglomerações produtivasCana-de-açúcarTrabalho formalMicrorregiões brasileirasClusters productivosCaña de azúcarTrabajo oficialMicrorregiones brasileñasThis paper analyzed the potential for generating formal employment in sugarcane cultivation in the micro-regions of the states of Minas Gerais, São Paulo, Paraná, Mato Grosso do Sul and Goiás (2019 to 2021). The Normalized Concentration Index (NCI) was estimated using the Locational Quotient, the Hirschman-Herfindahl index and the Relative Share index. The construct to verify patterns of concentration or spatial dispersion in the sector was developed using information on formal employment obtained from RAIS. The data shows that in 2019, of the 156 micro-regions surveyed, 38 showed minimal densification, representing 84.58% of the jobs in the sugarcane sector. Of this total, 34 micro-regions were characterized as being specialized (NCI>1). In 2020, 38 micro-regions indicated minimum densification, representing 83.94% of the jobs allocated to the sector, and of these, 34 had an NCI above one, being considered specialized in the employment of labor for sugarcane cultivation. Similarly to previous years, 38 micro-regions showed minimal densification in 2021, which represented 84% of the jobs allocated to the sector, and 34 of these micro-regions were considered specialized, with an NCI above one. The micro-regions with the most specialized agglomeration in the employment of formal labor in the sugarcane sector are in São Paulo state.El artículo analizó el potencial de generación de empleo formal en el cultivo de caña de azúcar en las microrregiones de los estados de Minas Gerais, São Paulo, Paraná, Mato Grosso do Sul y Goiás (2019 a 2021). El Índice de Concentración Normalizado (ICN) se estimó utilizando el Cociente de Localización, el índice de Hirschman-Herfindahl y el índice de Participación Relativa. El constructo para verificar los patrones de concentración o dispersión espacial del sector se elaboró a partir de la información sobre empleo formal obtenida del RAIS. Los datos muestran que en 2019, de las 156 microrregiones relevadas, 38 presentaron una densificación mínima, representando el 84,58% de los empleos del sector cañero. De este total, 34 microrregiones fueron caracterizadas como especializadas (ICN>1). En 2020, 38 microrregiones presentaron densificación mínima, representando el 83,94% de los empleos destinados al sector, y de ellas, 34 presentaron índice superior a uno, siendo consideradas especializadas en el empleo de mano de obra para el cultivo de caña. Al igual que en años anteriores, 38 microrregiones presentaron densificación mínima en 2021, lo que representó el 84% de los empleos asignados al sector, y de éstas, 34 microrregiones se consideraron especializadas, con un índice superior a uno. Las microrregiones con mayor aglomeración especializada en el empleo de mano de obra formal en el sector de caña de azúcar se encuentran en el estado de São Paulo.O artigo analisou o potencial da geração de emprego formal no cultivo de cana-de-açúcar nas microrregiões dos estados de Minas Gerais, São Paulo, Paraná, Mato Grosso do Sul e Goiás (2019 a 2021). O Índice de Concentração Normalizado (ICN) foi estimado a partir do Quociente Locacional, do índice Hirschman-Herfindahl e do índice de Participação Relativa. O constructo para verificar padrões de concentração ou dispersão espacial no setor foi elaborado por meio de informações sobre vínculo formal obtidas junto a RAIS. Os dados mostram que em 2019, das 156 microrregiões pesquisadas, 38 apresentaram adensamento mínimo, representando 84,58% dos vínculos no setor canavieiro. Desse total, 34 microrregiões foram caracterizadas como sendo especializadas (ICN>1). Em 2020, 38 microrregiões indicaram adensamento mínimo, representando 83,94% dos vínculos alocados no setor, e dessas, 34 apresentaram índice acima de um, sendo consideradas especializadas no emprego de mão de obra para o cultivo de cana-de-açúcar. De forma análoga aos anos anteriores, 38 microrregiões apresentaram adensamento mínimo em 2021, o que representou 84% dos vínculos alocados no setor, sendo que dessas microrregiões 34 foram consideradas especializadas, com índice acima de uma unidade. As microrregiões com maior aglomeração especializada no emprego de mão de obra formal do setor canavieiro se encontram no Estado de São Paulo.Edunisc - Universidade de Santa Cruz do Sul2024-05-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/1942910.17058/redes.v29i1.19429Redes ; Vol. 29 (2024)Redes; Vol. 29 (2024)Redes; Vol. 29 (2024)Redes; v. 29 (2024)1982-6745reponame:Redes (Santa Cruz do Sul. Online)instname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporenghttps://online.unisc.br/seer/index.php/redes/article/view/19429/11520https://online.unisc.br/seer/index.php/redes/article/view/19429/11521Copyright (c) 2024 Redesinfo:eu-repo/semantics/openAccessShikida, Pery Francisco Assis Oliveira, Leandro José de Pereira D'Arisbo, Sandra MaraGalante, Valdir Antonio 2024-05-07T12:56:18Zoai:ojs.online.unisc.br:article/19429Revistahttp://online.unisc.br/seer/index.php/redeshttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br1982-67451414-7106opendoar:2024-05-07T12:56:18Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false |
dc.title.none.fl_str_mv |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) Clusters Productivos del sector de la caña de azúcar en el mercado laboral formal: un análisis por microrregiones brasileñas (2019 a 2021) Aglomerações Produtivas do setor canavieiro no mercado de trabalho formal: uma análise por microrregiões brasileiras (2019 a 2021) |
title |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) |
spellingShingle |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) Shikida, Pery Francisco Assis Productive agglomerations Sugarcane Formal work Brazilian micro-regions Aglomerações produtivas Cana-de-açúcar Trabalho formal Microrregiões brasileiras Clusters productivos Caña de azúcar Trabajo oficial Microrregiones brasileñas |
title_short |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) |
title_full |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) |
title_fullStr |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) |
title_full_unstemmed |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) |
title_sort |
Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021) |
author |
Shikida, Pery Francisco Assis |
author_facet |
Shikida, Pery Francisco Assis Oliveira, Leandro José de Pereira D'Arisbo, Sandra Mara Galante, Valdir Antonio |
author_role |
author |
author2 |
Oliveira, Leandro José de Pereira D'Arisbo, Sandra Mara Galante, Valdir Antonio |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Shikida, Pery Francisco Assis Oliveira, Leandro José de Pereira D'Arisbo, Sandra Mara Galante, Valdir Antonio |
dc.subject.por.fl_str_mv |
Productive agglomerations Sugarcane Formal work Brazilian micro-regions Aglomerações produtivas Cana-de-açúcar Trabalho formal Microrregiões brasileiras Clusters productivos Caña de azúcar Trabajo oficial Microrregiones brasileñas |
topic |
Productive agglomerations Sugarcane Formal work Brazilian micro-regions Aglomerações produtivas Cana-de-açúcar Trabalho formal Microrregiões brasileiras Clusters productivos Caña de azúcar Trabajo oficial Microrregiones brasileñas |
description |
This paper analyzed the potential for generating formal employment in sugarcane cultivation in the micro-regions of the states of Minas Gerais, São Paulo, Paraná, Mato Grosso do Sul and Goiás (2019 to 2021). The Normalized Concentration Index (NCI) was estimated using the Locational Quotient, the Hirschman-Herfindahl index and the Relative Share index. The construct to verify patterns of concentration or spatial dispersion in the sector was developed using information on formal employment obtained from RAIS. The data shows that in 2019, of the 156 micro-regions surveyed, 38 showed minimal densification, representing 84.58% of the jobs in the sugarcane sector. Of this total, 34 micro-regions were characterized as being specialized (NCI>1). In 2020, 38 micro-regions indicated minimum densification, representing 83.94% of the jobs allocated to the sector, and of these, 34 had an NCI above one, being considered specialized in the employment of labor for sugarcane cultivation. Similarly to previous years, 38 micro-regions showed minimal densification in 2021, which represented 84% of the jobs allocated to the sector, and 34 of these micro-regions were considered specialized, with an NCI above one. The micro-regions with the most specialized agglomeration in the employment of formal labor in the sugarcane sector are in São Paulo state. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-05-14 |
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://online.unisc.br/seer/index.php/redes/article/view/19429 10.17058/redes.v29i1.19429 |
url |
https://online.unisc.br/seer/index.php/redes/article/view/19429 |
identifier_str_mv |
10.17058/redes.v29i1.19429 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://online.unisc.br/seer/index.php/redes/article/view/19429/11520 https://online.unisc.br/seer/index.php/redes/article/view/19429/11521 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Redes info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2024 Redes |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Edunisc - Universidade de Santa Cruz do Sul |
publisher.none.fl_str_mv |
Edunisc - Universidade de Santa Cruz do Sul |
dc.source.none.fl_str_mv |
Redes ; Vol. 29 (2024) Redes; Vol. 29 (2024) Redes; Vol. 29 (2024) Redes; v. 29 (2024) 1982-6745 reponame:Redes (Santa Cruz do Sul. Online) instname:Universidade de Santa Cruz do Sul (UNISC) instacron:UNISC |
instname_str |
Universidade de Santa Cruz do Sul (UNISC) |
instacron_str |
UNISC |
institution |
UNISC |
reponame_str |
Redes (Santa Cruz do Sul. Online) |
collection |
Redes (Santa Cruz do Sul. Online) |
repository.name.fl_str_mv |
Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC) |
repository.mail.fl_str_mv |
redes_unisc_maff@terra.com.br||etges@unisc.br |
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1800218767395913728 |