Determinants of Child Farm Labour in Rural Households of Ogun State, Nigeria

Agbonlahor U. M., Momoh S., Bamire S., Oke T. J.


The study was carried out to determine the significant correlates, of child, households and community variables, which affect child farm labour involvement in Ogun State. A multistage sampling technique was used to select a total of 400 rural households from the State. The household survey involves an interview of 594 children, 400 household heads and a focus group discussion section in four locations. The data collected were analyzed using both descriptive and inferential statistics. The censored tobit model was used to ascertain the significant determinants of child farm labour intensity in the State. The study revealed that, an average of 5.26 hours of school time is spent per week on farm activities. This represents about 17 percent of total school time per week. The children were also observed to start assuming household and farm responsibilities as early as four years of age and on  average contribute 29-30 hours of labor per week. Also, the child personal characteristics do not affect involvement in child farm labour. The household/head’s socioeconomic variables (educational status, farm income, size of farmland and value of total household’ durable assets) were significant and negative determinants of intensity of involvement in child farm labour. The school distance was also a major determinant and follows the same trend. The study recommends that reducing child labour will require facilitating access to credit, subsidizing the costs of labour and time saving farm machines such as tractor hiring cost; and that research efforts should be geared towards  developing simple, affordable, and adaptable machines/implements, and other farm labour-saving devises.



Child farm Labour, Rural households, socio-economic Determinants, tobit model

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Ayanwale, B. A. 1998. Family investment in the Education of Children and Adolescents in Rural Osun State, Nigeria. In: Issues in African Rural Development Monograph Series. No. 21 Winrock International pg 9.

Azer, A. 1991. Child Labour in Egypt. National Center for Social and Criminal Research UNICEF pg. 5

Basu, K. 2002. The Global Child Labour Problem: What do we know and what can we do? The World Bank Economic Review. 17(2) pg.109

Blunch, N., Verner, D. 2001. Revisiting the link between Poverty and Child Labour: The Ghanian Experience Centre for Labour Market and Social Research Working paper 01-03. Aarhus Denmark. pg 6

Brown L.R., Yohannes Y, Webb P. 1994. Rural labour-intensive public works: impacts of participation on preschooler nutrition: evidence from Niger. American Journal of Agricultural Economics. 76 (5). 1213-1218.

CBN. 2004. Central bank of Nigeria Annual Report and Statistical Bullettin. CBN Abuja, Nigeria

Edmonds, E. 2003. Does Child Labour Decline with Improving Economic Status? Dartmouth College Working Paper No. 01-09. December 2003.

Fallon, P., Tzannatos, Z. 1998. Child Labour: Issues and Directions for the World Bank. The World Bank ,Washington D.C. p.30.

Fan, C.S. 2002. Child Labour and The Interaction between the Quantity and Quality of Child Labour. Working Paper. Lingnan University, Department of Economics, Hong Kong. pg. 25

Glick, P., Sahn, D. 2000 Schooling of girls and boys in a West African country: The effects of parental education, income and household structure. Economics of Education Review 19 (1): 63-87.

Grootaert, C. 1998 Child labour in Cote dIvoire: Incidence and determinants, Discussion Paper, Social Development Department, The World Bank, Washington D.C.

Heckman, J. 2000. Policies to Foster Human Capital. Research in Economics, p. 54.

Herman, K. 2002. The Intriguing Relation Between Child Labour and the Adult Minimum Wage. Economic Journal 110(462):50-72.

ILO. 1997. Bitter Harvest. International Labour organization ( ILO) Geneva. pg. 17.

ILO. 2002.Every Child Counts: New Global Estimates on Child Labour. ILO. Geneva.

Lavy, V. 1992. Investment in Human Capital: Schooling Supply Constraints in Rural Ghana. Living Standard Measurement Study Working Paper No. 93, World Bank, Washington D.C pg. 24

NPC. 2007. The National Population Commission of Nigeria.. The 2006 Population data of Nigeria. NPC, Abuja. Pg3

Tobin, J. 1958. Estimation of relationships for Limited Dependent Variables. Econometrica 26,24-36.

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