The Socio-cultural Determinants of Child Labour in Tanzania
Issue: 2023 - Volume 20 [Issue 4]
George M. Joseph *
The Open Univeristy of Tanzania, Katavi Regional Center, Tanzania.
*Author to whom correspondence should be addressed.
The purpose of the study was to examine the socio-cultural determinants of child labour in small scale gold mining in Tanzania. Specifically, the study examined polygamy, early marriage and family conflict among the respondents which influence child labour practices in small scale gold mining (SSGM) in Geita region. Furthermore, the study used the case of Nyang’hwale district which is one of the districts in Geita region where SSGM activities are rampant compared to the rest of the districts. The study used a cross-sectional survey researches design. The primary data were collected by using questionnaires from 209 individuals who were randomly sampled from Nyang’hwale district in Geita region. Moreover, the study applied a newly developed method of measuring the age risk of children working under 18 years known as Eta Value. The researcher analyzed the data using the Structural Equation Modeling Partial Least Square (SEM PLS) with a combination of analytic techniques - statistics and artificial intelligence software. The study found that the child labour determinants under socio-cultural factors were polygamy, early marriage and family conflict. Moreover, the researcher found that micro-sociology focuses on the individual's micro aspects – polygamy, early marriage and family conflicts which are socio-cultural oriented. The study concludes that the fundamental sociocultural determinants are polygamy, early marriage and family conflict. Therefore the study recommends that the polygamy, early marriage and family conflict are significant sociocultural factors that contribute to the child labour practices in Geita.
Keywords: Sociocultural, early marriage, family conflict child labour
How to Cite
Tanzania Child Labour statistics Minimal advancement – efforts Made but continued practice that delayed advancement; 2021.
Tanzania National Child Labour Survey 2014: Analytical Report / International Labour Office; Fundamental principles and rights at work branch (fundamentals); Tanzania national bureau of statistics. - Geneva: ILO; 2016.
The United Republic of Tanzania. Tanzania in Figures. National Bureau of Statistics. Ministry of Finance and Planning. Dodoma. Tanzania; 2021.
International Labour Office and United Nations Children’s Fund, Child Labour: Global estimates 2020, trends and the road forward, ILO and UNICEF, New York, License: CC BY 4.0; 2021.
Radfar et al, Challenges and perspectives of child labour. Industrial psychiatry journal. 2018; 27(1):17.
Rosana Y, Chauvel R, Law SF. Socio-cultural influences on child labour issue in Aceh province Indonesia. Journal professional FIS UNIVED. 2019;6:2.
Naz A, Khan H, Khan T, Khan Q, Khan W. Social and cultural determinants of child labor in Pakistan; 2019.
Francis CS, Jellason YA. Socio-Economic factors associated with child labour in Northern Nigeria. Sapientia Global Journal of Arts, Humanities and Development Studies (SGOJAHDS). 2022;5(1):11–22.
ISSN: 2695- 2319 (Print); ISSN: 2695-2327 (Online)
Baregu KM. Situational analysis on child labor in Tanzania Mainland and Zanzibar.Washington DC. U.S. Department of Labor, Bureau of International Labor Affairs; 2011.
Stark L. Early marriage and cultural constructions of adulthood in two slums in
Dar es Salaam. Culture Health & Sexuality. 2017: 20. DOI:10.1080/13691058.2017.1390162.
ILFS. Child Labour in Tanzania (Country report) National Bureau of Statistics, Ministry of Planning, Economy and Empowerment, Tanzania; 2021.
The United Republic of Tanzania. Situation analysis on child labour in Tanzania mainland and Zanzibar. United States of America-Department of Labour; 2011.
Bundala NN. Homo-Hetero Pairing Regression Model: An Econometric Predictive Model of Homo Paired Data. International Journal of Finance Research. 2022;3(2):147-186. Available:https://doi.org/10.47747/ijfr.v3i2.792
Le Tan T, Trang DTD. The Effects of Demographic Variables on Knowledge Sharing Behaviour. Jurnal Ekonomi Bisnis. 2017;22(2):107-116.
French C. Why Demographic Data Matters. Community Planning New Hampshire. Information Brief. 2014;1.
Creswell JW. Qualitative inquiry and research design: Choosing among five approaches (2nd Ed.). Thousand Oaks, CA: Sage Publications; 2007.
D'Cruz H, Jones M. Social Work Research in Practice: Ethical and Political Contexts. 2nd ed.), London: SAGE Publications Ltd; 2014.
Kothari CR. Research Methodology – Methods and Techniques, (2nd Ed.), Ranchi: New Age International (P) Publishers; 2019.
Saunders M, Lewis P, Thornhill D. Research Methods for Business Students, (4th Ed.), London: Pearson Education Limited; 2009.
Schmidt NA, Brown JM. Evidenced-based practice for nurses: Appraisal and application of research (4th ed.). Burlington, MA: Jones and Bartlett; 2019.
Tabachnick BG, Fidell LS. Using Multivariate Statistics, 5th Edition. Boston:Pearson Education Inc; 2007.
Kothari CR. Research Methodology Methods and Techniques, (2nd Ed.) New Age International Publishers. New Delhi; 2009.
Mugenda A, Mugenda O. Research methods: Quantitative and qualitative Approaches. Nairobi: African Centre for Technology Studies Press; 2003.
Mussa AJ. Effect of Mobile Phone Usage The girl Students’ performance of the secondary school in Zanzibar: A case of Mjini District. A dissertation for the award of the degree of Masters of Arts in monitoring and evaluation (mame) of the Open University of Tanzania, Dar es Salaam, Tanzania. 2020; 110.
Sulaimon MO. Application of Weighted Least Squares Regression in Forecasting. International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS). 2015; 2(3):45-54.
Peng L, Finn A. Concept testing: the state of contemporary practice. Marketing Intelligence & Planning. 2008;26(6):649-674.
Schumacker E, Lomax G. A Beginner’s Guide to Structural Equation Modelling. 4th edtn; 2016.
Pituch KA, Whittaker TA, Chang W. Multivariate models for normal and binary responses in intervention studies. American Journal of Evaluation. 2016;37(2):270-286.
Amzat J, Maigari AM. Macro and Micro Perspectives in Sociology. Introduction to Sociology: African Culture, Context and Complexity Apex Publishers. 2021; 82-91.
Abdallah AJ. Factors Contributing to the Increase of Child Labour in Tanzania: A Case of Dodoma Municipality. University of Dodoma, Tanzania. 2014;98.
The United Republic of Tanzania. Analytical report for Integrated Labour Force Survey (ILFS); 2007.
Malila MN, Mnguu YO. Determinants of child labour elimination in Tanzania. Rural planning journal. 2015;17(1).
Idang GE. African culture and values. Phronimon. 2015;16(2):97-111.
Hilson G. Challenges with Eradicating Child labour in the Artisanal Mining Sector: A case study of the Talensi-Nabdam District, Upper East Region of Ghana; 2016.
Jeannotte M. The social effects of culture - A literature review; 2017. DOI:10.13140/RG.2.2.15680.84482
Razak MA. The impact of polygamy on family functioning; 2021.
Mesquita, Shirley, Souza, Wallace. Child labor and family structure: the role of divorce. International Journal of Social Economics. 2018;45. DOI: 10.1108/IJSE-07-2017-0287.