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Background: Child labor is considered one of the main social problems that affect the community and has a physical and psychosocial impact on a child's health, growth, and development. The study aimed to describe the sociocultural discourses of children involved in child labor. A macroethnographic approach was used to collect the data from the selected community areas of Punjab, India. Materials and Methods: A community-based qualitative study using purposive sampling was carried out among children engaged in child labor (n = 8). The data were gathered through in-depth or semi-structured interviews and non-participant observation under four phases: community context assessment, egocentric network analysis, validation, and dissemination of study findings. The guide for consolidated criteria for reporting qualitative research (COREQ) was followed. Ongoing analysis was conducted using Spradley's analysis approach to identify the themes. Results: Thematic analysis resulted in the emergence of various themes related to child labor, namely, adaptability, money-centric attitude, sense of being underserved, social deprivation, work burden, reduced emotional expression, workaholism, abuse, family shoulder, family cohesion, and sense of industry. Apart from that, inhuman living and working conditions, as well as school deprivation among study subjects, were observed. Poverty emerged as the single most compelling factor for child labor in India. Conclusion: The study concluded that child labor had a negative impact on children's overall development. An effective intervention to stop child labor is if vulnerable children are identified through primary healthcare, and a relationship of trust is built that allows for the provision of health care, education, support, and referral to additional services outside the health sector. [ABSTRACT FROM AUTHOR]

Purpose: This study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which is conducted once in 10 years only provides district level data on work-force distribution. The study has spatial analysis of child labour in the age group of 5–14 years in India. To assess the magnitude of the children in the labour force, district level data of Census 2011 has been used in the study. The study has made an attempt to identify the districts where there is high level of children in the labour force. This paper aims to estimate the magnitude and trends of children's workforce participation using the census data as it is the only data base, which is available at the district level since 1961 onwards. The study has made an attempt to identify the clustering of child labour across districts in India and how child labour is clustered by different background characteristics. Design/methodology/approach: The study has used ArcGIS software package, GeoDa software and local indicator of spatial association test. Findings: The findings of study reveal that the proportion of rural, total fertility rate (TFR) and poverty headcount ratio is positively associated, whereas female literacy and the pupil-teacher ratio are negatively associated with child labour. It suggests that in the hot-spot areas and areas where there is a high prevalence of child labour, there is need to increase the teacher's number at the school level to improve the teacher-pupil ratio and also suggested to promote the female education, promote family planning practices to reduce TFR in those areas for reducing the incidences of child labour. Research limitations/implications: The study also recommends that the incidences of child labour can be controlled by a comprehensive holistic action plan with the active participation of social workers. Practical implications: The promulgation of effective legislation, active involvement of judiciary and police, political will, effective poverty alleviation and income generation programmes, sensitisation of parents, corporates and media can play effective role in mitigating the incidences of child labour in India. To achieve the sustainable development goals (SDGs) adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Social implications: The study aims to achieve the SDGs adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Originality/value: The study is purely original and there are no such studies in Indian context by using the latest software. [ABSTRACT FROM AUTHOR]

• Poverty and child labour have a positive relationship in India. • Agriculture employs more than half of all child labourers in India. • The average age at which children begin working is 16 years, with and average of 6 to 8 years of education. • Children from economically disadvantaged families and the Muslim community are more likely to engage in child labour. 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. [ABSTRACT FROM AUTHOR]