Predicting Child-Labour Risks by Norms in India

Dados Bibliográficos

ID2374649
AutoresJihye Kim (0000-0003-3511-8327, The University of Manchester, UK, autor correspondente), Wendy Olsen (0000-0003-1440-5810, The University of Manchester, UK), Arkadiusz Wiśniowski (0000-0002-7567-3600, The University of Manchester, UK)
Ano2023
Volume37
Fascículo6
Páginas1605-1626
Data de publicação2023-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoWork Employment and Society (JOURNAL)
Identificadores do periódicoISSN: 0950-0170 • E-ISSN: 1469-8722
EditoraSAGE Publications Inc (PUBLISHER)
DOI10.1177/09500170221091886
OpenAlexW4285495414
IdiomaEN
Citações recebidas5
Referências citadas26

This article aims to understand how social and gender norms affect child labour in India, which is mainly defined by a work-hours threshold. It develops a regression model using two datasets - the Indian Human Development Survey 2011/2012 and the World Value Survey India 2012 - to predict child-labour risks based on such norms. The gender and development approach provides a theoretical foundation for applying norms in association with social and gender relations. The results of the regression model have revealed that a norm supportive of women's work and a benevolent attitude norm help reduce the risk of child labour. In contrast, seclusion norms show an opposite association with child labour. Child-labour practices are varied because agents accept or deny norms as part of the social structure. Our findings confirm that the transformation of restricted norms on gender could help reduce child labour in India

Affect (linguistics · Child labour · Contrast (vision · Norm (philosophy · Political science · Seclusion · Work (physics · Child Nutrition and Water Access · Energy and Environment Impacts · Law · Poverty, Education, and Child Welfare · Psychology · Social Psychology