http://196.220.128.81:8080/xmlui/handle/123456789/142 Sun, 26 Apr 2026 22:01:28 GMT 2026-04-26T22:01:28Z http://196.220.128.81:8080/xmlui/handle/123456789/5843 EFFECT OF CREDIT ON FOOD CROP PRODUCTION AM0NG SMALL SCALE FARMERS IN ONDO STATE OLOKUNTOYE, Rotimi Adelanke Nigeria's food problem has worsened over time judging from the staggering food import bill that has continued unbated. The smallholder agriculture is considered strategic in order to alleviate this intractable problem of food insecurity. This would however. require measures such as supplies of credit to ameliorate their marginal economic conditions and thereby increasing their productivity. Hence variations of credit programme have been used as policy action directed towards improving the productivity of the small-scale farmers. In spite of this. there exists a considerable lack of consensus regarding their effectiveness. This may be probably clue to the magnitude of credit requirements. This study therefore investigated the effect of credit on the level of food production of small-scale farmers in Ondo State. Specifically it assessed the effect of credit size on farm output. examined the socio economic characteristics of farmers using credit. measured farmers perception to credit use and highlighted the constraints to credit use. Primary data were collected from 200 small scale farmers through the use of standardized interview schedules, The respondents were selected using multi-stage random sampling method. In the first stage, five Local Government Areas (LGAs) were selected from existing Eighteen LGA's of Ondo State by random sampling. Two communities were further selected from each of the selected LGAs from the list obtained at the various Local Government offices. Out of the list of fanners obtained, twenty farmers utilizing credit were selected from each of the selected communities making a total of two hundred respondents. The data obtained \\as subjected to descriptive analytical techniques such as frequency and means on the socio- economic characteristics of the farmers. The relationship of credit size to farmers' socio- economic characteristic was tested with Pearson Product Moment Correlation. While Multiple Regression Analysis was the predictive tool employed to estimate the effect of variables that influenced credit size used by fanners and the determinants of farm output. A 22 variable item on 5 point Likert Scale was adopted to measure farmers perception of credit. Findings reveal that fanners were mostly middle aged (x = 49.46 years); had large households (x = I 1.36): possessed fairly low-levels of formal education and had small farm sizes (x = 0.86 ha). The credit profile showed that the mean credit size of W13295.50 received by the respondents was lower than their mean expenditure of WI7,704.50 meaning that the loan was only 75.1 % sufficient. In addition, the farmers recorded a mean farm output of #67,340.50. Correlation analysis revealed that farmers age (r = 0.27), education (r = 0.38) and total family size (r = 0.32) were found significant and positively related to credit size, while credit experience was not. Regression analysis gave an F value of 68.638 with an R2 of 0.715, which indicated that selected independent variables accounted for 71.5% of observed changes in credit size. Variables that made significant contributions to changes in credit size included farm experience. Extension agents' visit, adoption of innovations, farm size and farm output. With farm output as dependent variable, regression analysis gave an F value or 30.061 with all R2 of 0.437. This indicated that selected, variables accounted for 43.7% of the observed variations in farm output. Independent variables that made significant contributions to these include farm labour, operating expenses. credit size and Extention Agents' Visit. Perception of credit by the farmers had a mean score of 86.5 varying from 47.0 to 100.0. This was against the expected minimum perception score 01'22 with a maximum of 110. Correlation between perception and credit was r = 0.394 which was significant at 0.0 I level. Based on the findings. it was inferred that the credit provided appeared insufficient to cover fanners capital needs. Provision of credit however. enhanced farmers level of production. Farmers socio-economic characteristics such as age. education. farm experience, farm size and total family size positively influenced small-scale farmers ability to manage credit obtained by them. Also, farm characteristics such as adoption of innovations and Extension Agents' Visit improved the productive use of credit by the farmers. Finally, the positive correlation of farmers' perception with credit use suggests that credit fulfills important functions in farmers resources use. 64p.:ill;30cm Fri, 01 Mar 2002 00:00:00 GMT http://196.220.128.81:8080/xmlui/handle/123456789/5843 2002-03-01T00:00:00Z http://196.220.128.81:8080/xmlui/handle/123456789/5842 RESOURCE USE EFFICIENCY IN RICE PRODUCTION IN OGBOMOSO AGRICULTURAL ZONE OFOYO STATE OLATOYAN, O.W This study concerns with the issue of resource use efficiency in rice production in Ogbomoso, Agricultural zone, Oyo State of Nigeria. The objectives are to examine factors affecting rice production for the farmers. Primary data were collected with the use of structured questionnaire based on socio-economic characteristics of farmers. Both descriptive statistics and econometric method using the stochastic frontier production function were used for data analysis. The result of the research showed that more male respondents who are married and fairly educated and middle age were involved in rice production in the area. The average household size of the farmers was 12with average farm size less than one hectare. The minimum technical efficiency of the respondents was 0.70 while the maximum was 0.97; the mean technical efficiency was 0.09. This shows that technical efficiency is significant for large number of farmers who use manure; other independent variables such as operating expenses, seed planted, family labour and farm size was also significant. Contrawise, the effects of hired labour, age, farming experience, education, and extension visits had no significant effect on technical efficiency of rice farmers. 75p.:ill;30cm Mon, 13 Oct 2008 00:00:00 GMT http://196.220.128.81:8080/xmlui/handle/123456789/5842 2008-10-13T00:00:00Z http://196.220.128.81:8080/xmlui/handle/123456789/5841 COMPARATIVE EFFICIENCY OF MAIZE PRODUCTION TECHNOLOGIES IN SOUTHWESTERN NIGERIA OSUNDARE, FOLUSO OLAYINKA This study examined and compared the technical efficiency and profitability of maize enterprise under different production technologies in South-Western Nigeria. The Central element of the study was to identify the most technically efficient and profitable type of technology used by maize farmers in the study area. Data were collected from a cross-sectional survey of 311 maize farmers selected from 3 states in South Western Nigeria. Multi-stage random sampling technique, descriptive statistics, gross margin analysis and econometric techniques were used to analyse collected data. The stochastic frontier production function was used to estimate the technical efficiency and inefficiency of the farmers. The hypotheses were tested using generalized log-likelihood estimate. Results of analyses showed that maize farmers were in their productive age with mean age of 48.6years. Farmers using Improved Technology were the youngest with mean age of 45.4years followed by Semi-improved Technology ST (48.9years) and traditional technology, (51.5yrs). Only 26.56% of farmers using Improve Technology had no formal education while ST was 43.48% and Traditional Technology 58.1%. Maize production was most profitable under improved technologies with mean, gross margin (GM) per maize grower of N18, 860.08 and GM/ha of N12, 459.00. The productivity analysis showed that the quantity of seeds planted, labour, fertilizer usage, amount spent on herbicides, contact with extension and farm size influenced the level of maize output under the different technology types. The level of maize output was positively and significantly influenced by all the postulated variables except labour and amount spent on herbicides. Similarly, the results of the technical inefficiency showed that age, years of schooling, household size and farming experiences were the factors influencing the level of technical inefficiency in all the production technologies. The results of efficiency analysis indicated that the predicted technical efficiencies showed that the highest proportion of farmers had technical efficiencies between 0.80 and 0.90 in all the types of technology. The results evidently showed that traditional technology was the most technically efficient type of technology with mean technical efficiency of 0.73 followed by semi-improved technology (0.69) and improved technology 0.65. Results of the state comparison of technical efficiency showed that Oyo State farmers were more efficient in the use of traditional and improved technologies than Ondo State maize farmers with mean technical efficiency of 0.75 and, 0.67 respectively while Ondo State farmers had mean technical efficiency of 0.72 and 0.64 for the same technology types. 162p.:ill;30cm Wed, 26 Mar 2008 00:00:00 GMT http://196.220.128.81:8080/xmlui/handle/123456789/5841 2008-03-26T00:00:00Z http://196.220.128.81:8080/xmlui/handle/123456789/5840 AGRICULTURAL LOANS RECOVERY UNDER THE NATIONAL DIRECTORATE OF EMPLOYMENT IN ONDO STATE OF NIGERIA TOLUWASE, SUNDAY OLUWADARE WRlGHT This study was designed to investigate loan repayment amongst beneficiaries of the National Directorate of Employment (N. D. E.) Agricultural Programme in Ondo State in order to know the repayment ability of the respondents. To achieve this main objective, data were collected from one hundred and fifty (150) randomly selected farmers under the N. D. E. Agricultural Programme. This included 75 school 1eaver farmers and 75 graduate farmers. The graduate farmers were further categorized into 29 graduates of agriculture and 46 non-graduates of agriculture. Basic statistics, estimation procedures and test of hypothesis were employed in the analysis. Based on the findings, it is suggested that preference should be given to graduates with relevant experience III farming for participation III the N. D. E. Agricultural programme. in addition, the N. D. E. office should increase monitoring and supervision of the beneficiaries, regularly, to increase loan recovery rate. Non graduates of agricultural beneficiaries should be given thorough practical training before their consideration for the agricultural loans. Supportive services such as inputs procurement, storage facilities, transport facilities and market facilities should be provided and made available to farmers to improve their production. 81p.:ill;30cm Mon, 23 Nov 1998 00:00:00 GMT http://196.220.128.81:8080/xmlui/handle/123456789/5840 1998-11-23T00:00:00Z