| Abstrakt: |
The persistence of child labour globally can be attributed to a complex interplay of multifaceted factors. This study examines the relationship between these diverse factors of child labour, such as economic activities, working hours, hazardous conditions and overall prevalence. Logistic regression analysis was conducted using data from Pakistan’s Multiple Indicator Cluster Survey (MICS sixth wave). According to the data, poor quality education worsens child labour, while parental education and wealth protect against it. Gender differences, child disabilities, regional differences and non-violent behaviour all have significant impacts on labour force participation. This study highlights the complex interactions between socioeconomic and regional factors in determining child labour. It fills gaps in the existing literature by focusing on previously overlooked elements such as nonviolent behaviour and comprehensive disability interactions, as well as conducting a comprehensive examination of socioeconomic determinants. Understanding these dynamics is critical to targeted initiatives to eliminate child labour and ensure the well-being of children. |
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