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Wealth, Social Protection Programs, and Child Labor in Colombia: A Cross-sectional Study
- Source :
- Repositorio EdocUR-U. Rosario, Universidad del Rosario, instacron:Universidad del Rosario
- Publication Year :
- 2018
- Publisher :
- SAGE Publications, 2018.
-
Abstract
- This article has 3 main objectives: (1) to assess the prevalence of child labor in Colombia, (2) to identify factors associated with child labor, and (3) to determine whether social protection programs have an association with the prevalence of child labor in the country. Using a cross-sectional study with data from the Colombian Demographic and Health Survey 2010, a working child was defined as a child who worked during the week prior to the survey in an activity other than household chores. Through descriptive statistics, bivariate analysis, and multivariate regressions, it was found that child labor was associated with gender (boys were more likely to work), older age, ethnicity (children from indigenous communities were more likely to be workers), school dropout, disability (children with disabilities were less likely to be working), subsidized health social security system membership, and lower number of years of mother’s schooling. Furthermore, the results of this study suggest that children beneficiaries of the subsidy Familias en Acción were less likely to be working and that social protection programs were more effective to reduce child labor when targeting the lowest wealth quintiles of the Colombian population. © The Author(s) 2018.
- Subjects :
- Social security
Male
Public policy
Cross-sectional study
050204 development studies
Ethnic group
Demographic survey
Welfare reform
Prevalence
050207 economics
Child
Child Labor
Child health
Health Policy
05 social sciences
Age Factors
Subsidy
Health survey
Adolescence
Social protection
Government
Cross-sectional studies
Female
Sex factors
Psychology
Age factors
Human
Employment
Sex factor
Child labor
Adolescent
Public Policy
Colombia
Socioeconomic factors
Indigenous
Sex Factors
Age
0502 economics and business
Humans
Descriptive statistics
Socioeconomic conditions
Cross-Sectional Studies
Socioeconomic Factors
Statistics and numerical data
Socioeconomics
Disease prevalence
Demography
Subjects
Details
- ISSN :
- 15414469 and 00207314
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- International Journal of Health Services
- Accession number :
- edsair.doi.dedup.....f108f321a69230a48cbaefe3d941b967
- Full Text :
- https://doi.org/10.1177/0020731417747421