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El trabajo infantil en México

Factores explicativos

Dados Bibliográficos

ID21474793
AutoresRogelio Varela Llamas (0000-0002-8608-4537), Juan Manuel Ocegueda Hernández (0000-0002-5454-4498), Jesús Eduardo López Mares (0000-0001-8947-1711)
Ano2025
Volume34
Fascículo67
Páginas89-106
Data de publicação2025-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoRevista de Ciencias Sociales y Humanidades (JOURNAL)
Identificadores do periódicoISSN: 0188-9834 • E-ISSN: 2395-8669
EditoraUniversidad Autonoma de Ciudad Juarez (PUBLISHER)
DOI10.20983/noesis.2025.1.5
OpenAlexW4408558950
IdiomaES

Using data from the National Child Labor Survey (ENTI) for 2019 and 2022, the probability that a child or adolescent is in a condition of child labor is analyzed. For each year, a logistic regression is estimated and explanatory variables such as sex, reason for work, size of locality, region, and whether they received financial support through a scholarship or other government program are considered. It is analyzed whether economic incentives contribute to reducing the possibility of performing prohibited, risky, or inappropriate work. For both years, the variables together are statistically significant; however, in 2019, economic support does not significantly determine the probability of the event occurring. In 2022, economic support influences a decrease in labor participation and all regions, with respect to the South, show a decrease in child labor. The regions that report the greatest marginal change for the last year are the North, Capital, and Pacific regions. Living in towns with fewer than 2,500 inhabitants also increases child labor participation, as well as the fact that children have to work to financially support their households

Geography · Geography and Environmental Studies in Latin America · Poverty, Education, and Child Welfare · Psychology · Social Sciences and Policies

Velocidade de citaçãohistorical
Altamente citadoNão
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae