 Child labour and its determinants in IndiaKrishna Surjya Das Children and Youth Services Review, 2022, vol. 138, issue C 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. Keywords: Child labour; Education; Poverty; India; Binary Logistic Regression (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:cysrev:v:138:y:2022:i:c:s0190740922001591 DOI: 10.1016/j.childyouth.2022.106523 Access Statistics for this article Children and Youth Services Review is currently edited by Duncan Lindsey More articles in Children and Youth Services Review from Elsevier |
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