Productive agglomerations in the sugarcane sector in the formal labor market: an analysis by Brazilian micro-regions (2019 to 2021)

Detalhes bibliográficos
Autor(a) principal: Shikida, Pery Francisco Assis
Data de Publicação: 2024
Outros Autores: Oliveira, Leandro José de, Pereira D'Arisbo, Sandra Mara, Galante, Valdir Antonio
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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spelling 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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