‘NEET’ Generation in the Metropolitan Region of Salvador
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Redes (Santa Cruz do Sul. Online) |
DOI: | 10.17058/redes.v27i1.15777 |
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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‘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/redesPUBhttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br||revistaredes@unisc.br||1982-67451414-7106opendoar: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 ‘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 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 ‘NEET’ Generation in the Metropolitan Region of Salvador |
title_full_unstemmed |
‘NEET’ Generation in the Metropolitan Region of Salvador ‘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 Queiroz, Silvana Nunes de Pereira, Antonia Jaine da Silva 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||revistaredes@unisc.br|| |
_version_ |
1822181753215778816 |
dc.identifier.doi.none.fl_str_mv |
10.17058/redes.v27i1.15777 |