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Agricultural child labor: An approach from the Model Ecological Human Development

Se presenta una investigación de corte no experimental de campo, transversal y descriptiva sustentada e implementada desde el Modelo Ecológico de Desarrollo Humano. Cuyo objetivo fue: Establecer cuál es el microsistema que genera mayor vulnerabilidad en el desarrollo de niños, niñas y adolescentes del sector agrícola mexicano. En una muestra aleatoria de 558 niños y niñas mestizos e indígenas entre 5 y 17 años de edad, ubicados en 17 comunidades agrícolas de Sinaloa, Veracruz y Oaxaca. Mediante un análisis estadístico descriptivo y comparativo se halló que el microsistema trabajo infantil agrícola fue el que resultó ser la variable de mayor vulnerabilidad. A partir este resultado, se generó un modelo estadístico de predicción donde se identificaron patrones de riesgo de acuerdo a la edad, al sexo y la condición migratoria, estableciendo que los niños de 10 años migrantes, así como los de 8 años locales o asentados presentaron mayor probabilidad de insertarse en el trabajo infantil en el sector agrícola.
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Agricultural child labor: An approach from the Model Ecological Human Development

  • DOI: 10.22533/at.ed.5583392319105

  • Palavras-chave: Children and agricultural laborers, child development, and socioecological model

  • Keywords: Children and agricultural laborers, child development, and socioecological model

  • Abstract: This is a non-experimental field, cross-sectional and descriptive investigation supported and implemented from the Ecological Model of Human Development. Whose objective was: Establish which is the microsystem that generates greater vulnerability in the development of children and adolescents in the Mexican agricultural sector. In a random sample of 558 mestizo and indigenous boys and girls between 5 and 17 years of age, located in 17 agricultural communities in Sinaloa, Veracruz and Oaxaca. Through a descriptive and comparative statistical analysis, it was found that the agricultural child labor microsystem was the one that turned out to be the variable of greatest vulnerability. Based on this result, a statistical prediction model was generated where risk patterns were identified according to age, sex and migratory status, establishing that 10-year-old migrant children, as well as local or settled 8-year-olds presented greater probability of entering child labor in the agricultural sector.

  • Maria Santos Becerril Pérez
  • Amada Ampudia Rueda
  • Guadalupe Sánchez Crespo
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