가나 코코아 재배 가구 아동들의 학업 및 아동노동 참여 결정요인에 대한 이변량 프로빗 분석

Abstract

The use of child labor in cocoa cultivation is one of the direst issues facing Ghana today. It is imperative to investigate and better understand the diverse factors which lead to the incidence of child labor and schooling in order to develop strategies which can effectively address this sensitive issue. This paper studies the child, head of household and household characteristics that play a role in determining a child’s school enrollment and participation in child labor, using the dataset from Ghana Cocoa Farmer’s Survey of 2006 and a bivariate probit regression model for analysis. The econometric analysis highlights the effect of socio-economic factors on child labor and schooling in the three main cocoa farming regions of Ghana. Child age and gender, the education level and migrant status of the household, the proportion of school age children in the household, the location of the household, the number of farms cultivated, the amount of cocoa output and the number of hours to the nearest secondary school were found to be significant in explaining child labor and/or school enrollment.