Statistical analysis of child labour participation determinants and impacts on reading knowledge in Tanzania
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Date
2023
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The University of Dodoma
Abstract
Child labour was when a youngster works full-time to support themselves or their family, whether it is paid or unpaid. The goal of this study was to determine the factors that influence children's involvement in labour and how it affects their reading knowledge in Tanzania. The study used cross-sectional Integrated Labour Force Survey (ILFS) data obtained from the National Bureau of Statistics (NBS). Both descriptive and inferential statistics were applied in this study. A 9639 children aged 5-17 were used. Unweighted binary generalized estimating equations have been used to estimate the factors that influence child work involvement, and a multinomial logistic regression model has been used to estimate how child labour participation affects educational success. The results of the unweighted exchangeable binary generalized estimating equation model showed that the age of the child, household size, educational level of the household head, and marital status of the household head, geographic area, and employment status of the household member were all significantly correlated with the participation of children in child labour. The outcome of multinomial logistic regression revealed that every statistically significant variable that affects child labour also statistically affected the child's reading ability. The study results recommend that in order to end the issue, the government, through the Ministry of Labour and Employment and NGOs, must educate kids, families, and society on what child labour is, its risks, and how they may become involved. The government should keep educating parents about the benefits of having a small family, especially in rural areas. The Child Act of 2009 and the Employment and Labour Relations Act of 2004 need to be evaluated and put into effect by the appropriate authorities in coordination with the neighborhood.
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Citation
Mtafya, H. A. (2023). Statistical analysis of child labour participation determinants and impacts on reading knowledge in Tanzania, (Master's Dissertation) The University of Dodoma.