Browsing by Author "Yusuf S.A."

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Assessment of poverty among urban farmers in Ibadan metropolis, Nigeria
(2008) Yusuf S.A.; Adesanoye A. O; Awotide D. O
This 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
Climatic impact on agricultural outputs in Nigeria
(2019-11) Adeagbo T.A.; Yusuf S.A.; Amao S.A.
Climate fluctuation is foretold to have unfavourable impact on the agriculture of the poorer parts of the world, especially the developing countries like Nigeria. In Nigeria, crop productions are mostly low-technology based, and therefore seriously sensitive to environmental factors. Climate variability is setting Nigeria’s agricultural system under unspeakable stress and threat. Research on the impact of climate variability on agricultural outputs is necessary because of its effects in changing standards of living trends in the nation. Descriptive statistics (tables) and co-integration analysis are the methods used to analyze the data explored in this research. The findings demonstrate that the rate of agricultural output (maize and rice) is fluctuating from 1971 to 2009. There were changes in the patterns of rainfall and relative humidity. Sunshine and temperature were not consistently steady also. The results indicate that all variables were stationary at their level. When the Augmented Dickey – Fuller (ADF) test was applied on their first difference terms, they were stationary. The results show that all variables included are integrated of order 1, which is 1(1). After assessing the univariate time – series attributes of the individual data series, then we turned to the next stage in the current system of estimation, that is the test for co-integration (necessary condition for the specification of error correction model). The results showed that changes in maize output were jointly explained by maize farm gate price, relative humidity, one-year lagged maize output, one-year lagged maize farm gate price and one-year lagged relative humidity. Changes in rice output were jointly explained by rice farm gate price, rainfall, temperature, one-year lagged rice output and one-year lagged rice farm gate price. Therefore, if agricultural output is to be increasingly sustained, agricultural methods that are resilient to climate fluctuations are needed, as are methods to mitigate the impact of climate variability in each agricultural zone.
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.