Agricultural Economics
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Item Determinants of child labour and schooling in rural northeastern Nigeria(2008-09) Amao, I.O.; Oni, O.A.; Yusuf S.A.; Omonona, B.T.Child labour interferes with proper schooling and negatively affects the pace of economic growth by preventing full realization of positive externalities associated with human capital formation. The study examined the determinants of child labour and schooling in rural northeastern Nigeria. Primary data were collected from 969 children. Information was collected on child, parent/household and community characteristics. Data were analyzed using descriptive statistics, Foster-Greer-Thorbecke (FGT) poverty index and Multinomial Logit regression. Most (59.8%) of the children were Combining School with Work (CSW); boys (59.6%) were more involved in this activity than girls (45.6%). Girls (26.9%) were more involved in schooling only (SCH) than boys (17.8%). The regression results showed that a unit increase in the age of children reduced the probability of SCH (0.03) relative to Neither School Nor Work (NSNW) while it increased the probability of CSW and Working (WRK) (0.03 and 0.02) respectively. Being a boy increased the probability of CSW (0.13) and reduced that of SCH (0.09) relative to being in NSNW. Also, being a child of a non-poor household increases the probability of SCH (0.09) and reduces that of WRK (0.06) relative to NSNW. The determinants of child labour and schooling in northeastern Nigeria are age, sex, poverty status of households among others. Inessence, it is recommended that households should be encouraged to allow all children aged 5-14 years to participate in schooling in order to acquire the required 9 years of basic education as specified by the International Labour Organization.Item Assessment of poverty among urban farmers in Ibadan metropolis, Nigeria(2008) Yusuf S.A.; Adesanoye A. O; Awotide D. OThis study examined poverty status of urban farm households. The study was carried out in Ibadan metropolis. The data used for the study were obtained from well-structured questionnaires. 200 farming households were sampled from two local government areas within Ibadan metropolis. Data generated were analysed using descriptive statistics, poverty indices and logistics regression analysis. Results from the study showed that those engaged in crop farming have the highest poverty level (50%), while mixed farming households have poverty level of 37% and livestock, 17%. The estimated logistic regression equation showed that crop farming activity engaged in and household size increase the odd ratio of being poor while age of urban farmers, educational status, years of experience in farming and livestock farming decrease the odd ratio of being poor. Hence, mixed farming and livestock farming are antidote to reducing poverty among urban farmers