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Prevalence of Economic Exploitations and Their Determinants Among Child Labourers in Dhaka City, Bangladesh: A Mixed-Method Study

Author

Listed:
  • Kazi Abusaleh

    (Transparency International Bangladesh)

  • M. Rezaul Islam

    (University of Dhaka
    Universiti Sains Malaysia
    University of Johannesburg)

  • Md. Mokter Ali

    (Gono Bishwabidyalay (University))

  • Mohammad Asif Khan

    (Government of the People’s Republic of Bangladesh)

  • Md. Shahinuzzaman

    (Jagannath University)

  • Md. Imdadul Haque

    (Daffodil International University)

Abstract

Taking unjust and unlawful benefits of children’s labour for someone’s gain or gratification can be termed as economic exploitations in child labour. The study aimed to explore the prevalence of economic exploitations and their determinants among child labourers (CLs). Lalbagh, Hazaribagh, and Kamrangirchar sub-districts of Dhaka district were rationally chosen as the areas of the study. The study adopted a mixed-method design, where a proportional probability sampling was used. A list of 1753 CLs comprising 543, 587 and 626 from the selected study areas was prepared through a short enumeration survey and 324 CLs were interviewed systematically from the list to collect quantitative data using a face-to-face structured interview schedule. The study also collected qualitative data through 15 in-depth case interviews (five from each sub-district). Multivariate logistic regression was employed to determine the associated factors with the economic exploitations. Thematic analysis was followed, and then a concurrent technique was employed for data analysis. Results showed that 97% of the CLs were economically exploited. The multivariate logistic regression analysis identified that the socio-economic and occupational factors were significantly associated with these economic exploitations in different variables used in the study. On the other hand, the qualitative findings showed that the CLs were physically and verbally abused, engaged long working hours with less than minimum wage, involved in various hazardous jobs while hardly received treatment costs due to occupational injury. Finding would be an important guideline for the governmental and non-governmental organizations, policymakers, human rights workers and development practitioners in the related field.

Suggested Citation

  • Kazi Abusaleh & M. Rezaul Islam & Md. Mokter Ali & Mohammad Asif Khan & Md. Shahinuzzaman & Md. Imdadul Haque, 2022. "Prevalence of Economic Exploitations and Their Determinants Among Child Labourers in Dhaka City, Bangladesh: A Mixed-Method Study," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(1), pages 87-106, February.
    • Handle: RePEc:spr:chinre:v:15:y:2022:i:1:d:10.1007_s12187-021-09862-9
    DOI: 10.1007/s12187-021-09862-9
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    References listed on IDEAS

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    1. F. Blanco & C. A. Valdivia, 2006. "Child labour in Venezuela: children's vulnerability to macroeconomic shocks," UCW Working Paper 52, Understanding Children's Work (UCW Programme).
    2. Ranjan Ray, 2004. "Child Labour: a survey of selected Asian countries," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 18(2), pages 1-18, November.
    3. Mohajan, Haradhan, 2014. "Child Rights in Bangladesh," MPRA Paper 58424, University Library of Munich, Germany, revised 20 Jan 2014.
    4. Manabi Majumdar, 2001. "Child Labour as a Human Security Problem: Evidence from India," Oxford Development Studies, Taylor & Francis Journals, vol. 29(3), pages 279-304.
    5. Saswati Das & Diganta Mukherjee, 2007. "Role of women in schooling and child labour decision: the case of urban boys in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(3), pages 463-486, July.
    6. Ellen Webbink & Jeroen Smits & Eelke Jong, 2013. "Household and Context Determinants of Child Labor in 221 Districts of 18 Developing Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 819-836, January.
    7. Janine Huisman & Jeroen Smits, 2015. "Keeping Children in School," SAGE Open, , vol. 5(4), pages 21582440156, October.
    8. Mónica Pinilla-Roncancio & Raquel Silva, 2018. "Children in Angola: Poverty, Deprivation and Child Labour," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 981-1005, June.
    9. Salma Ahmad & Ranjan Ray, 2014. "Health consequences of child labour in Bangladesh," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(4), pages 111-150.
    10. Khanam, Rasheda, 2005. "Child Labour in Bangladesh: Trends, Patterns and Policy Options," MPRA Paper 8008, University Library of Munich, Germany.
    11. James P. Smith, 1999. "Healthy Bodies and Thick Wallets: The Dual Relation between Health and Economic Status," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 145-166, Spring.
    12. J. French, 2010. "Children’s Labor Market Involvement, Household Work, and Welfare: A Brazilian Case Study," Journal of Business Ethics, Springer, vol. 92(1), pages 63-78, March.
    13. Jihye Kim & Wendy Olsen & Arkadiusz Wiśniowski, 2020. "A Bayesian Estimation of Child Labour in India," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(6), pages 1975-2001, December.
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