Citation

Das KS. Child. Youth Serv. Rev. 2022; 138: e106523.

Copyright

(Copyright © 2022, Elsevier Publishing)

DOI

10.1016/j.childyouth.2022.106523

PMID

unavailable

Abstract

Child labour continues to be a major concern in India despite the implementation of various policies and programmes aimed at its eradication. This study investigates factors that influence child labour in India with a focus on regional differences. The data is drawn from the 2019-20 Periodic Labour Force Survey. Binary logistic regression is used to identify factors that influence child labour. The findings show that children with pre-primary and primary education are less likely to be in the workforce, whereas children with secondary and higher secondary education are more likely to be in the workforce. This reflects the higher rates of secondary school dropouts attempting to enter the labour force. Likewise, poor families are more likely to send their children to work. Similarly, children from economically and socially disadvantaged communities, and Muslim households are more likely to be sent to work. The findings suggest that increasing children's educational attainment and providing financial assistance to poor families could effectively eradicate child labour in India.

Language: en

Keywords

Binary Logistic Regression; Child labour; Education; India; Poverty