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<title>Master's/Ph.D Thesis</title>
<link href="http://196.220.128.81:8080/xmlui/handle/123456789/151" rel="alternate"/>
<subtitle/>
<id>http://196.220.128.81:8080/xmlui/handle/123456789/151</id>
<updated>2026-07-21T17:44:33Z</updated>
<dc:date>2026-07-21T17:44:33Z</dc:date>
<entry>
<title>OPTIMUM FARM PLAN FOR FOOD SECURITY IN NIGERIA.</title>
<link href="http://196.220.128.81:8080/xmlui/handle/123456789/5933" rel="alternate"/>
<author>
<name>OLADUGBA, MOSUNMOLA LYDIA·</name>
</author>
<id>http://196.220.128.81:8080/xmlui/handle/123456789/5933</id>
<updated>2026-07-16T15:01:48Z</updated>
<published>2008-10-13T00:00:00Z</published>
<summary type="text">OPTIMUM FARM PLAN FOR FOOD SECURITY IN NIGERIA.
OLADUGBA, MOSUNMOLA LYDIA·
The study determines the optimum farm plan for food security in Ondo- state. Data were collected from 100 farmers randomly selected from live (5) local government areas of the state namely: Idanre, Ile-Oluj i/Oke igbo, Ondo West, Ondo East, and Odigbo local government areas. analyzed using descriptive statistics such as frequencies, These data were percentage, mean bar charts and pie charts. Inferential statistical analysis were done using multiple regression to determine the production function; cost and return analysis were used to analyze the gross margin and net farm income of the farmers. The optimum enterprise combination was determined by using linear programming.&#13;
 The major findings from the respondents during the course or the study were highlighted as follows: 55% were between 31 to 50 years or age which is the active group and is the modal age. 95% of the respondents were male. More than half of the respondents (54.17%) had no formal education. 96.88% of the respondents were married. Most of the respondents (93.45%) took farming as their primary occupation. 79.09% of the respondents family of between 0 to 10 household members. keep large 96.88% of the respondents involved labour. members of their household in farming while 69% relied on hired 80.21 % of the respondents acquired their farmland through purchasing. 78.12% of the respondents had been in farming for between 1.0 to 49years i.c. farming experience of between 10 to 49years. Most of the respondents (8542%) were into Farming for income stability and food security. 69.79% of the respondents possesses farmland sizes of between 1.0 to 5.0 hectares of land. 93.75% of the respondents acquired their farm inputs directly from the market. More than half or the respondents (51.04%) transport their farm produce from the farm by head. Nearly all the respondents (90.68%) had no access to credit facilities. 69.79% of the respondents wish to continue in farming by reasons or income stability and food security. 78.12 % of the respondents encountered one problem or the other viz: (transportation, glut, credit spoilage). 35.42% of the respondents were faced with the problems of glut 'and credit purchase. 78.12 % of the respondents showed their desired for government intervention and assistance&#13;
From the multiple regression analysis it was observed that all the independent variables played an important role in explaining the variability of each of the variables in optimum farm plan for food security. The enterprisers) that contributed immensely to the farmers net income were the rood crops and cash crop enterprises with a total net farm income per annum of 128,361.79naira and 115,685.95 naira respectively. The gross margin or each of the enterprises were 142,794.97 naira and 133,976.44 naira respectively. Linear programming was used to determine the total gross margin and to determine the profit line of the two enterprises; (food crops and cash crops) the equation was subjected to three constraints; land, capital and labour. The pro tit line is 14,3and 3.91 respectively. This is the optimal feasible solution.
75p.ill:30cm
</summary>
<dc:date>2008-10-13T00:00:00Z</dc:date>
</entry>
<entry>
<title>AGRICULTURAL CREDIT. UTILIZATION AND RECOVERY: A CASE STUDY OF THE NATIONAL LIVESTOCK PROJECTS DIVISION IN ONDO STATE</title>
<link href="http://196.220.128.81:8080/xmlui/handle/123456789/5932" rel="alternate"/>
<author>
<name>IDOWU, DAVID OLUTUN.DE OLANIYI</name>
</author>
<id>http://196.220.128.81:8080/xmlui/handle/123456789/5932</id>
<updated>2026-07-16T14:38:39Z</updated>
<published>1998-02-01T00:00:00Z</published>
<summary type="text">AGRICULTURAL CREDIT. UTILIZATION AND RECOVERY: A CASE STUDY OF THE NATIONAL LIVESTOCK PROJECTS DIVISION IN ONDO STATE
IDOWU, DAVID OLUTUN.DE OLANIYI
The Nigerian livestock industry holds the key to the problem of inadequate animal protein consumption by Nigerians. But it is finding it difficult to function properly due to inadequate capital among other problems. Most livestock farmers do not have adequate capital by way of savings nor do they have access to adequate and acceptable credit. Government therefore attempted to address the problem through the establishment of the National Livestock Projects Division (NLPD) loan arrangement. This programme operates in all State of the Federation, Ondo State inclusive. This study therefore attempted to evaluate the programme through the following specific objectives; I. To determine if credit size related significantly with farmers income; II. To relate loan utilization by individual borrowers to loan repayment; lll. To find out whether significant differences exist in loan repayment among borrowers of different personal characteristics, livestock financed, and different loan repayment demand visit levels; and IV. To determine if significant relationships exist between loan repayment and profitability. &#13;
150 individual livestock NLPD farmer programme participants from 14 Local Government Areas of Ondo State were randomly selected for the study. These were reached and interviewed using a structured interview schedule. Data was subjected to appropriate statistical analysis including frequencies and percentages, pearson correlation and one-way ANOYA. Findings indicated that mean age of farmers was 40.5 years. A total of 40.7% had Polytechnic or University degrees by way of highest educational qualification. Majority (62.7 %) were government officials with model family size of 4 members. Livestock production. enterprises financed included Mean loan size was N7,275.10. Goat. Poultry, Pig, Sheep and Cattle Mean credit staff visit to farmers was 3.4. Net enterprise income had a mean of N 109,012.60. Loan size did not significantly correlate with farmers income (r=0.10). Loan fund diversion rate was a maximum of 20.75%. It involved only 11.3% of the borrowers. Loan utilization did not affect loan repayment. Loan repayment did not significantly relate to age (r=0.19), education (r=0.05), and social status (r=0.18). It did not also differ significantly among farmers of different ages, education and social status. Among different livestock classes financed, loan repayment did not vary significantly. Among different enterprises financed loan repayment, subjected to one way ANOYA with an F value of 5.04 which was significant at 1.0% level. There were neither significant correlations nor differences between loan repayment and credit officers supervisory visit as well as loan repayment demand visits. Loan repayment however significantly and positively correlated with profitability (r=0.95).
79p.ill:30cm
</summary>
<dc:date>1998-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>LABOUR UTILISATION AND PRODUCTIVITY IN COCOA PRODUCTION IN ONDO STATE, NIGERIA</title>
<link href="http://196.220.128.81:8080/xmlui/handle/123456789/5917" rel="alternate"/>
<author>
<name>AWOLALA, David Olufemi</name>
</author>
<id>http://196.220.128.81:8080/xmlui/handle/123456789/5917</id>
<updated>2026-07-14T14:35:52Z</updated>
<published>2006-10-04T00:00:00Z</published>
<summary type="text">LABOUR UTILISATION AND PRODUCTIVITY IN COCOA PRODUCTION IN ONDO STATE, NIGERIA
AWOLALA, David Olufemi
The current estimation of the Nigerian population claimed that the rural sector harbours over 75 per cent of Nigeria's population, yet it is most unlikely that labour supply distribution is in favour of the farm sector. Nevertheless, the cocoa export requirement for the nation's foreign earnings anchors very auspiciously on human labour productivity which makes labour-use pattern and productivity of serious consideration. This study empirically examined labour utilization and productivity in the cocoa sector of Ondo State. Primary and secondary data were used for the study. Two hundred cocoa beans farmers were randomly selected for the study across the study area. Descriptive statistics, costs and returns analysis, income expenditure ratio, stochastic labour input use requirement cost frontier function were applied in the empirical analysis. The generalized likelihood ratio test and the student t-test were used to test the working hypotheses.&#13;
The study revealed mean age of the farmers as 56 years Implying that an average farmer is physically active. Given the gender disparity, there was a little female Participation in producing&#13;
cocoa while 73.0 per cent of the farmers were males. An average farmer has spent 26 years in cocoa production. It was observed that 55.0 percent of the farmers have large family size of 5 to 8 members thus, capable of meeting immediate labour requirements. Average age of cocoa farms of 24 years indicates marginal diminishing returns to labour. Farmers travel average of 11.3 kilometers, no close proximity of farms from farmers' settlements. Empirical results shows that to augment the traditional source of farm labour (family labour), sharecropper labour was the major labour-type significantly utilised (67.0 percent) by the farmers. Adult male labour was responsible for the largest proportion of labour utilized averaging about 69.0 per cent in terms of gender categorisation of labour. The cost and returns analysis revealed that cocoa beans production is profitable with gross margin of #15,092.00· per hectare' and income-expenditure ratio of #0.29 for every one naira invested. The Cobb-Douglas labour input-use requirement (cost) frontier estimates obtained indicated that only 5.5 percent of the sampled farmers are utilizing labour exactly on the labour factor requirement (cost) frontier, while 94.5 percent are cost inefficient in their labour allocations because they overused labour above the minimum cost frontier. The degree of overuse of labour is measured at 4.9 % which indicate by how much cocoa farmers exceeds the percentage of labour efficiency in the cost frontier. None of the farmers allocated farm labour below the minimum cost efficiency frontier since no farmer has labour-use allocative efficiency index ofless than.unity. The coefficients of the parameters estimated from the input-use requirement (cost) function usmg stochastic labour use frontier observes that real value added of raw cocoa produced (#), expenditures on labour use (N) and expenses on agrochemicals sprayed (N) have a priori positive signs and are statistically significant at 5 per cent level. As unit price of raw cocoa and input prices are being increased, there would be increase in (cost) labour demand to meet the labour use requirement resulted thereof. The coefficient of determinant of inefficient labour allocation is positive for age of farmers and highly significant at the 5.0 % level. This is the most important policy variable for efficient labour (cost) allocation among the cocoa farmers in the study area.
98p.ill:30cm
</summary>
<dc:date>2006-10-04T00:00:00Z</dc:date>
</entry>
<entry>
<title>NUTRITIONAL POVERTY ANALYSIS OF HOUSEHOLDS IN EKITI STATE</title>
<link href="http://196.220.128.81:8080/xmlui/handle/123456789/5901" rel="alternate"/>
<author>
<name>OGUNSEMI, CATHERINE FEYISAYO</name>
</author>
<id>http://196.220.128.81:8080/xmlui/handle/123456789/5901</id>
<updated>2026-06-30T09:49:49Z</updated>
<published>2006-01-01T00:00:00Z</published>
<summary type="text">NUTRITIONAL POVERTY ANALYSIS OF HOUSEHOLDS IN EKITI STATE
OGUNSEMI, CATHERINE FEYISAYO
This study analyzes the nutritional profile (calorie/animal protein) of three categories of&#13;
household in Ekiti state. Data were collected through administration of questionnaires using the extension agents of the Agricultural Development Programme (ADP) of the state. The data were subjected to descriptive analysis, nutrient (calorie/animal protein) estimation and nutritional deficiency index assessment. The poverty line used for the analysis is the FAO/WHO Recommended Dietary Allocation for calorie intake per average male in 1985, which is 2150.6 Kcal. It investigated and compared income status, degrees of nutritional poverty and coping strategies adopted for the different categories of households. The results revealed that a total of 44.54% of all the three categories of household in the study area (13.73, 24.14 and 6.67 percents of civil servant, farmer and artisan households respectively) could satisfy the FAOIWHO recommended dietary allocation of calories intake. Besides, male-headed households have poorer households nutritionally than female-headed households but severity is greater among the female-headed households for all the three categories of household. Also, household size is directly proportional to incidence of poverty for all households. However, the educational level of the household head is inversely proportional to incidence of poverty for all the categories of households. The ages of household heads of civil servant and artisan households are directly proportional to the incidence of poverty but the reverse is the case with the farmer households where the age of the household head is inversely proportional to incidence of poverty. Coping strategies mostly used by all the household categories when there was shortage of food was "eating less-preferred food".&#13;
Based on the findings of the study, it was concluded that majority of the households&#13;
in the study area were nutritionally poor but nutritional poverty was highest among&#13;
the artisan households. The civil servant households in the rural area were the richest.&#13;
Recommendations suggested to address the problem of nutrition include nutritional-programmes, backyard-farming, favourable economic policies that are masses focused and agriculture programmes free from politics.
65p.ill;30cm
</summary>
<dc:date>2006-01-01T00:00:00Z</dc:date>
</entry>
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