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Journal of Public Health

, Volume 27, Issue 2, pp 211–217 | Cite as

Determinants of child labour practices in Ghana

  • Lucy Twumwaah AfriyieEmail author
  • Bashiru I. I. Saeed
  • Abukari Alhassan
Original Article
  • 185 Downloads

Abstract

Aim

This study aims to determine the factors associated with child labour practices in Ghana.

Subject and methods

Data from the Ghana Living Standards Survey Round 6 (GLSS 6) conducted by the Ghana Statistical Service (GSS) in 2012 was used for the analysis. The target population was children aged 5–17 years. Logistic regression was used to assess the relationship between child labour, as a dichotomous outcome, and a set of possible factors.

Results

The result showed that the child’s age, gender and current grade, mother living in the household, and region and location of residence were the main factors that scientifically and significantly influence child labour in Ghana.

Conclusion

These findings highlight the importance of raising awareness about the dangers of child labour and exploring avenues for its prevention. Our recommendation is that policy-makers should especially target the Ashanti, Brong Ahafo, Eastern, Upper East, Upper West and Volta regions where child labour is rampant.

Keywords

Child labour Logistic regression Demographic characteristics Odds ratio 

Notes

Acknowledgements

I am most grateful to Prof. N.N.N. Nsowah-Nuamah, Dr. Eric N. Aidoo (Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana), Dr. Richard Parker and Dr. Smart Sarpong (Kumasi Technical University, Kumasi, Ghana) and Dr. Samuel Iddi from the University of Ghana for their useful comments and suggestions. Any errors are my own responsibility. I am also thankful to the management of the Ghana Statistical Service.

Funding

This research received no grant from any funding agency in the public, commercial or not-for-profit sectors.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Informed consent

The study used a data set that is available online in the public domain; hence, there was no need to seek ethical consent to publish the results in this study.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Lucy Twumwaah Afriyie
    • 1
    Email author
  • Bashiru I. I. Saeed
    • 2
  • Abukari Alhassan
    • 1
  1. 1.Department of StatisticsUniversity for Development StudiesNavrongoGhana
  2. 2.Department of Mathematics and StatisticsKumasi Technical UniversityKumasiGhana

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