What constitutes poverty transcends the lack of income but generally captures such other subjective and supplementary aspects that represent human functioning and capability. This view enables the design and implementation of policies to alleviate poverty among the poor, especially the riverine households with their attendant risks. Data were obtained from 448 riverine households in South-western Nigeria to examine the level of multidimensional deprivation and poverty among them. The mean household size was 5; fifty-six (56%) having less than minimum 9 year compulsory and basic education; only about 16% of them having members gainfully engaged and about 68% of the household heads engaging in Onshore livelihood activities. Majority (60.3%) of the households suffered deprivation in eight indicators (61.54% of the total possible number of deprivation) and above, all (100%) of the riverine households being adjudged poor in about 6%, 12% and 19% respectively' of the thirteen dimensions of deprivation. At dual cutoff value (k = 8), the adjusted multidimensional poverty rate of the households (M 0 = 0.3422); adjusted poverty gap (M 1 = 0.1608), and poverty severity (M 2 = 0.0761) showed high level of inequality among the deprived households. Conclusively, poverty was manifested in basic standard of living commodities and services among the riverine households as indicated by their low level of education, limited access to hygienic source of drinking water, food, energy, health care, toilet facilities as well as improved means of livelihood.
Increased rice productivity for years is not a solution if rice farming efficiency cannot be sustained for the next hundred years. The study analysed the efficiency of rice farmers in Oyo State. A multistage sampling procedure was employed to select128 rice farmers for the study. Primary data were obtained with the aid of well-structured questionnaire and interview schedule. Descriptive statistics and stochastic frontier model were employed in the analysis of the data. Majority (78.1%) of the rice farmers had one form of education or the other while the age of rice farmers ranges from 25 to 78 years and mean age of 47 years. The stochastic frontier results (Maximum Likelihood Estimates) revealed that farm output increases with farm size, hired labour, and fertilizer but decreases with herbicides. Also, technical efficiency of the farmers increases with formal education, farming experience, household size, extension contact and distance of farm to market. The mean technical efficiency, allocative efficiency and economic efficiency of 88.5 percent, 66.9 percent and 58.3 percent respectively showed that there is room for improvement in technical efficiency by 11.5 percent, allocative efficiency by 33.1 percent and economic efficiency by 41.7 percent with the present technology. Policy option requires the rice farmers to reduce the use of agro chemical. Farmers should expand their farm land to ensure efficient utilization of resources. Above all, formal education and adult literacy education should be strengthened among the rice farmers.
Purpose: Returns on education was found to be worker, scale and allocative effects with positive higher payoff to agricultural productivity but its effects on non-farm employment among agricultural households who obtain income through non-farm activities to complement proceeds of agricultural activities are not yet known. Therefore, this study critically investigates the real cost effect of education on involvement in non-farm employment among rural households in Southwestern Nigeria. Research Method: The study drew a sample of 411 rural farm households through a multi-stage sampling technique from three states in southwest Nigeria and the data obtained were analyzed using the Mincerian equation, logistic model, inverse of Herfindahl index, calculation of expected annual rural income earning and rates of return to schooling. Findings: Results indicate that mean age and education of the rural household heads were 49.9 years and 8.8 years respectively while the household incomes were diversified up to 2.82 level and the nonfarm sources contributed an average of 67% of the total income. Education is found to have considerable returns of N4706.30 (US$31.95) to gross household income and an additional year of schooling from other members of the households returns of N12519.90 (US$85) to the households' income. Education of the household heads increases the probability of farm households participating in rural non-farm employment but the probability of participation reduces with increased level of education of the household heads. Tertiary education has the highest opportunity costs of schooling (N352200.04) per annum and the lowest rate of return to schooling (0.57%) from rural non-farm employment. Research Limitations: The study revealed the real cost of rural farm households' educational level on the type of non-farm employment and income generated through it. The study presents information on southwestern zone of Nigeria. Originality/Value: The practical value of this research is that decline rates of return to higher education reveal the rural non-farm employment being not the prime incentive for rural farm households' members in obtaining higher education in rural southwest Nigeria. Therefore, implications are drawn for an integrated approach to higher education which may yield agricultural and non-agricultural transformation in rural Nigeria.
Poultry farming provides rich source of animal protein and contributes significantly to food security among Nigeria households. However, the poultry sector is largely vulnerable to risk conditions, ranging from natural events, climate disturbances, and human lapses resulting in tumultuous performances of the poultry enterprise. This study was carried out in the agrarian suburb of Lagos State, Nigeria to determine the dominant risk sources in the poultry egg sector, and the determinants of mitigation strategy adoption among egg farmers. Primary data were obtained in a crosssectional survey of 125 poultry egg farmers drawn by multi-stage random sampling across major communities in the study area, and were analysed by both descriptive and quantitative techniques. A risk behavioural model (RBM) was used to estimate the determinants of farmers’ adoption of specific mitigation strategies. From the findings, 62% of the respondents were male, married (64%), formally educated (74%), and of mean age and household size 40 ± 15 years and 4 ± 2 persons, respectively. Average farmer’s flock size was 524 ± 327 layers, 6 ± 5 average years of farming experience, and average gross income of N1,490,000/production cycle. The identified risk factors (response scores and survival propensities in parentheses) were; disease epidemic shocks (1.82, 44.67%); egg glut shocks (1.85, 39%); adverse weather shocks (2.01, 53%); and input price instability shocks (2.21, 60%). Identified lead risk mitigation strategies were strict adherence to routine vaccination regime; advance egg sales arrangement; proper timing/frequency of bird stocking, and advance/wholesale inputs purchase arrangements. Findings from the study established that medically disenfranchised (2.974; p<0.01) and non-remotely located farms (1.682 p><0.1) had higher propensity for routine vaccination/drugs administration to mitigate disease outbreak. Likewise, experienced farmers (2.780; p><0.01) operating farms with less capital-based assets (2.655; p><0.01) would more likely adopt advance sales arrangement to mitigate egg glut shock. With better human skills development (2.173; p><0.05), poultry farmers would likely engage proper timing for birds stocking to mitigate the effect of adverse weather condition on their farms. To enhance farmers’ timely access to major inputs (feeds, drugs and stocks) for a sustainable poultry egg industry in the study area, localisation of farms within policy-regulated areas and proximity to input supply firms were recommended.
Increased rice productivity for years is not a solution if rice farming efficiency cannot be sustained for the next hundred years. The study analysed the efficiency of rice farmers in Oyo State. A multistage sampling procedure was employed to select 128 rice farmers for the study. Primary data were obtained with the aid of well-structured questionnaire and interview schedule. Descriptive statistics and stochastic frontier model were employed in the analysis of the data. Majority (78.1%) of the rice farmers had one form of education or the other while the age of rice farmers ranges from 25 to 78 years and mean age of 47 years. The stochastic frontier results (Maximum Likelihood Estimates) revealed that farm output increases with farm size, hired labour, and fertilizer but decreases with herbicides. Also, technical efficiency of the farmers increases with formal education, farming experience, household size, extension contact and distance of farm to market. The mean technical efficiency, allocative efficiency and economic efficiency of 88.5 percent, 66.9 percent and 58.3 percent respectively showed that there is room for improvement in technical efficiency by 11.5 percent, allocative efficiency by 33.1 percent and economic efficiency by 41.7 percent with the present technology. Policy option requires the rice farmers to reduce the use of agro chemical. Farmers should expand their farm land to ensure efficient utilization of resources. Above all, formal education and adult literacy education should be strengthened among the rice farmers.
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