Modeling of child labour exploitation status in Indonesia using multilevel binary logistic regression

• Main Authors: Sari Liza Kurnia, Wardana Lissa Octavia
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: ITM Web of Conferences
• Online Access: https://www.itm-conferences.org/articles/itmconf/pdf/2021/01/itmconf_icmsa2021_01008.pdf

The Indonesian constitution recognizes guarantees the right of the child to rest and leisure, to engage in play, and recreational activities appropriate to the age of the child so that they should not be working. Employers are also prohibited to employ children. However, many children come to work because of poverty, even though child labour is close to exploitation. Theoretically, individual and contextual factors affect the exploitation status of child labour. This study aims to analyze the variables that influence the exploitation of child labour in Indonesia based on data from the National Socio-Economic Survey (Susenas) in 2018. The random effect test shows that there are differences between regency/municipality so that multilevel binary logistic regression performs better than one level binary logistic regression. More than 80 percent of child labourers are exploited in terms of education and working hours. Variables that significantly influence the exploitation status of child labour at the individual level are gender, the occupation sector of child labour, and the occupation sector of the household head. Meanwhile, poverty rates and mean years of schooling significantly influence the exploitation status of child labour at the regional level.