‘NEET’ Generation in the Metropolitan Region of Salvador

Detalhes bibliográficos
Autor(a) principal: Queiroz, Silvana Nunes de
Data de Publicação: 2022
Outros Autores: Pereira, Antonia Jaine da Silva
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/15777
Resumo: This study has as its main objective to trace the demographic and socioeconomic profile of the “NEET” generation residing in the Metropolitan Region of Salvador (RMS) and estimate the probability of this condition. As it is a recent theme, most studies were for Brazil, with few about the Brazilian metropolises, especially the RMS, marked by high population concentration, unemployment and underemployment, especially among young people. The main source of information is the microdata of National Household Sample Survey (PNAD) of 2015 whose were analyzed descriptively and through the application of the Probit model. The main results indicate that the “NEETs” represent about 22% of the contingent of young people aged 15 to 29 years old in the RMS, being the majority female, with a predominance of the brown and black race/color, approximately 50% have completed high school or incomplete higher education, who lives with their mothers and with low family income. Furthermore, the estimates obtained using the Probit model indicate per capita income below half a minimum wage as the variable with the greatest impact on the probability of being “NEET”, followed by the positive influence of female gender. On the other hand, the model reaffirmed the importance of schooling in reducing the probability of a young person belonging to the “NEET” generation.
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spelling ‘NEET’ Generation in the Metropolitan Region of SalvadorGeneración ‘Ni Ni’ en la Región Metropolitana de SalvadorGeração ‘Nem Nem’ na Região Metropolitana de SalvadorJuventud. Generación ‘Ni Ni’PerfilProbitRMSJuventudeGeração Nem NemPerfilProbitRMSYouth“NEET” GenerationProfileProbitRMSThis study has as its main objective to trace the demographic and socioeconomic profile of the “NEET” generation residing in the Metropolitan Region of Salvador (RMS) and estimate the probability of this condition. As it is a recent theme, most studies were for Brazil, with few about the Brazilian metropolises, especially the RMS, marked by high population concentration, unemployment and underemployment, especially among young people. The main source of information is the microdata of National Household Sample Survey (PNAD) of 2015 whose were analyzed descriptively and through the application of the Probit model. The main results indicate that the “NEETs” represent about 22% of the contingent of young people aged 15 to 29 years old in the RMS, being the majority female, with a predominance of the brown and black race/color, approximately 50% have completed high school or incomplete higher education, who lives with their mothers and with low family income. Furthermore, the estimates obtained using the Probit model indicate per capita income below half a minimum wage as the variable with the greatest impact on the probability of being “NEET”, followed by the positive influence of female gender. On the other hand, the model reaffirmed the importance of schooling in reducing the probability of a young person belonging to the “NEET” generation.Este estudio tiene como principal objetivo rastrear el perfil demográfico y socioeconómico de la generación de jóvenes ‘ni ni’ residente en la Región Metropolitana de Salvador (RMS) y estimar la probabilidad de encontrarse en esta condición. Como es un tema reciente, la mayoría de los estudios fueron para Brasil, con pocos para las metrópolis brasileñas, especialmente la RMS, marcada por una alta concentración de población, desempleo y subempleo, especialmente entre los jóvenes. La principal fuente de información son los microdatos de la PNAD 2015, cuyos datos fueron analizados de forma descriptiva y mediante la aplicación del modelo Probit. Los principales resultados indican que los ni ni representan alrededor del 22% del contingente de jóvenes de 15 a 29 años en la RMS, siendo la mayoría mujeres, con predominio de raza/color mulata y negra, aproximadamente el 50% tiene educación secundaria completa o educación superior incompleta, a pesar del alto porcentaje de personas con menos de este nivel de educación (alrededor del 45%), viven con su madre y tienen bajos ingresos familiares. Además, las estimaciones obtenidas mediante el modelo probit señalan el ingreso per cápita por debajo de la mitad del salario mínimo como la variable con mayor impacto en la probabilidad de ser ni ni, seguida de la influencia positiva de ser mujer. Por otro lado, el modelo reafirmó la importancia de la escolaridad en la reducción de la probabilidad de ser un joven perteneciente a la generación ni ni.Este estudo tem como principal objetivo traçar o perfil demográfico e socioeconômico da geração de jovens ‘nem nem’ residente na Região Metropolitana de Salvador (RMS) e estimar a probabilidade de estarem em tal condição. Por ser um tema recente, a maioria dos estudos foram para o Brasil, com poucos para as metrópoles brasileiras, em especial a RMS, marcada por elevada concentração populacional, desemprego e subemprego, notadamente entre os jovens. A principal fonte de informações são os microdados da PNAD de 2015, cujos dados foram analisados de forma descritiva e por meio da aplicação do modelo Probit. Os principais resultados indicam que os nem nem representam cerca de 22% do contingente de jovens de 15 a 29 anos na RMS, sendo a maioria do sexo feminino, com predominância da raça/cor parda e preta, tendo aproximadamente 50% o ensino médio completo ou superior incompleto, reside com a mãe e têm baixo rendimento familiar. Ademais, as estimativas obtidas através do modelo probit indicam o rendimento per capita abaixo de meio salário mínimo como a variável de maior impacto sobre a probabilidade de ser nem nem, seguido da influência positiva em ser do sexo feminino. Por outro lado, o modelo reafirmou a importância da escolaridade na redução da probabilidade de ser um jovem pertencente a geração nem nem.Edunisc - Universidade de Santa Cruz do Sul2022-03-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/1577710.17058/redes.v27i1.15777Redes ; Vol. 27 (2022)Redes; Vol. 27 (2022)Redes; Vol. 27 (2022)Redes; v. 27 (2022)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/15777/10359https://online.unisc.br/seer/index.php/redes/article/view/15777/10360Copyright (c) 2022 Redesinfo:eu-repo/semantics/openAccessQueiroz, Silvana Nunes dePereira, Antonia Jaine da Silva2022-03-22T15:31:35Zoai:ojs.online.unisc.br:article/15777Revistahttp://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:2022-03-22T15:31:35Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv ‘NEET’ Generation in the Metropolitan Region of Salvador
Generación ‘Ni Ni’ en la Región Metropolitana de Salvador
Geração ‘Nem Nem’ na Região Metropolitana de Salvador
title ‘NEET’ Generation in the Metropolitan Region of Salvador
spellingShingle ‘NEET’ Generation in the Metropolitan Region of Salvador
Queiroz, Silvana Nunes de
Juventud
. Generación ‘Ni Ni’
Perfil
Probit
RMS
Juventude
Geração Nem Nem
Perfil
Probit
RMS
Youth
“NEET” Generation
Profile
Probit
RMS
title_short ‘NEET’ Generation in the Metropolitan Region of Salvador
title_full ‘NEET’ Generation in the Metropolitan Region of Salvador
title_fullStr ‘NEET’ Generation in the Metropolitan Region of Salvador
title_full_unstemmed ‘NEET’ Generation in the Metropolitan Region of Salvador
title_sort ‘NEET’ Generation in the Metropolitan Region of Salvador
author Queiroz, Silvana Nunes de
author_facet Queiroz, Silvana Nunes de
Pereira, Antonia Jaine da Silva
author_role author
author2 Pereira, Antonia Jaine da Silva
author2_role author
dc.contributor.author.fl_str_mv Queiroz, Silvana Nunes de
Pereira, Antonia Jaine da Silva
dc.subject.por.fl_str_mv Juventud
. Generación ‘Ni Ni’
Perfil
Probit
RMS
Juventude
Geração Nem Nem
Perfil
Probit
RMS
Youth
“NEET” Generation
Profile
Probit
RMS
topic Juventud
. Generación ‘Ni Ni’
Perfil
Probit
RMS
Juventude
Geração Nem Nem
Perfil
Probit
RMS
Youth
“NEET” Generation
Profile
Probit
RMS
description This study has as its main objective to trace the demographic and socioeconomic profile of the “NEET” generation residing in the Metropolitan Region of Salvador (RMS) and estimate the probability of this condition. As it is a recent theme, most studies were for Brazil, with few about the Brazilian metropolises, especially the RMS, marked by high population concentration, unemployment and underemployment, especially among young people. The main source of information is the microdata of National Household Sample Survey (PNAD) of 2015 whose were analyzed descriptively and through the application of the Probit model. The main results indicate that the “NEETs” represent about 22% of the contingent of young people aged 15 to 29 years old in the RMS, being the majority female, with a predominance of the brown and black race/color, approximately 50% have completed high school or incomplete higher education, who lives with their mothers and with low family income. Furthermore, the estimates obtained using the Probit model indicate per capita income below half a minimum wage as the variable with the greatest impact on the probability of being “NEET”, followed by the positive influence of female gender. On the other hand, the model reaffirmed the importance of schooling in reducing the probability of a young person belonging to the “NEET” generation.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-22
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/15777
10.17058/redes.v27i1.15777
url https://online.unisc.br/seer/index.php/redes/article/view/15777
identifier_str_mv 10.17058/redes.v27i1.15777
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/15777/10359
https://online.unisc.br/seer/index.php/redes/article/view/15777/10360
dc.rights.driver.fl_str_mv Copyright (c) 2022 Redes
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 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. 27 (2022)
Redes; Vol. 27 (2022)
Redes; Vol. 27 (2022)
Redes; v. 27 (2022)
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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