Efficiency of Resource use in Rice Farming Enterprise in Kwande Local Government Area of Benue State, Nigeria (original) (raw)
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This study examines the resource use efficiency in rice production in Kwande Local Government Area of Benue State Nigeria. The data for the study was collected from 100 rice farmers in the four districts of the study area using a simple random sampling technique. Cobb Douglas production function and technical efficiency techniques were used as analytical tools. The study revealed coefficient of elasticity of Cobb Douglas production function of 1.3 which implies that rice farmers in the area are producing in the first stage of production. The technical efficiency estimates reveal that all the Marginal Physical Productivity (MPPs) were higher than the Average Physical Product (APPs) which also suggest that, the farmers were producing in the first stage of production. The study concludes that rice farmers in kwande local government were technically inefficient in rice production. Emergent from the findings, it was recommended that concerted efforts from individual rice farmers, government and research institution to establish farmers' participatory extension service to ensure timely supply and proper use of rice farm inputs in order to improve farmers resource use efficiency.
World Journal of Agricultural Research, 2013
This study examines the resource use efficiency of rice farmers in Kaambe district of Guma Local Government Area to help improve rice production in Benue State, Nigeria. A sample size of 100 rice farmers was randomly selected from four rice farming communities of the study area. Data collected were farm size, amount of fertilizer, herbicide/pesticide, planting seeds, farm labour and capital. A regression model was used as analytical tool. The Coefficient of determination (R 2 ) of productivity level by rice farmers is 0.812 with improved seeds and the farm hecterage as the most significant predictors of the productivity achieved by rice farmers. The research concludes that, rice farmers were making efficient use of available resources. Productivity level of rice farmers in the area was determined by 81.2% of the farm inputs such as farm size, fertilizer, herbicide /pesticide, planting seeds, farm labour and capital. These shows that, the variables can therefore be further exploited to improve productivity level of rice farmers to boost rice production in the area.
Resource-Use Efficiency of Rice Production in Kura Local Government Area of Kano State, Nigeria
FUDMA Journal of Agriculture and Agricultural Technology
Rice is an important crop to the Nigerian economy. However, the level of inputs used in its production are not at the optimum level. This study examined the resource use efficiency of rice producers in Kura LGA of Kano State, Nigeria. Data used for the study was obtained by scheduled interview using structured questionnaires administered to 115 respondents selected using a simple random sampling procedure. Descriptive statistics, budgetary techniques and multiple regression were used to analyze the data. Results obtained revealed that the mean age of the farmers was 31 years, most of the farmers were male, educated and with farming experience of 8 years. Results for profitability of rice production showed that the net farm income for rice production was N176922.2 with a return to Naira investment value of 2.7. This implies that 1N invested on rice production would give a return of N1.7. Results for regression analysis showed that farm size, agrochemicals, and labour had a significan...
This study investigated the technical and scale efficiencies in rice production by rice farmers in Ebonyi State Nigeria using the data envelopment analysis (DEA). Data was collected from a sample of 180 farmers using multi-stage sampling technique. Data were analysed using descriptive statistics and Data Envelopment Analysis (DAE) approach. The result showed that majority of the rice farmers were operating with increasing returns to scale 77.2%, 18.99% decreasing returns to scale and only 3.9% with constant returns to scale. The result further indicated that only 5.56% of the farmers were 100% technically efficient in resourceutilization under variable returns to scale (VRS). Result of the analysis also showed that education level, farmers experience and extension agents visit significantly influenced the efficiency level of the rice farmers. Farm size was however negatively correlated and had no significant effect on resource use efficiency of the rice farmers. The variables having significant influences on technical and scale efficiencies of the farmers such as education and extension agents visit should be improved upon to enhance the farmers efficiency level and reduce resource wastage and increased cost of production.
Resource-Use Efficiency in Irrigated Rice Production in Yobe State, Nigeria
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This study examines the resource-use efficiency in irrigated rice production in Yobe State. Primary data was used in the analysis. The analytical tool used was stochastic frontier production function using the maximum likelihood estimation (MLE) which was applied on cross sectional data of 384 sampled farmers. The result from the MLE reveals that farmers performed at an average technical efficiency of 73%, 83% and 86% for small, medium and large scale farmers respectively. The technical return to scale show that all categories of farmers exhibited increasing returns to scale but the large scale farmers were closer to stage two which is the rational stage of production process. The ratio of MVP to MFC of all inputs were greater than one indicating that all inputs except labour were under utilized in the study area. Base on the findings, it is recommended that the small and medium irrigated rice farmers can pool their resources together to derive the economies of larger scale producti...
TECHNICAL EFFICIENCY IN PADDY RICE PRODUCTION IN NIGER DELTA REGION OF NIGERIA
This study estimated technical efficiency of rice farmers in Niger Delta region of Nigeria. Multistage sampling technique was used to sample 300 rice farmers. A stochastic frontier production function was used to estimate technical efficiency. The study further assessed the factors that affect technical efficiency of the rice farmers. All the coefficients were found to have positively influenced paddy rice productivity. The level of efficiency of rice farmers was found to be 0.63. The study further found that gender and household size were significant determinants of technical efficiency. The study therefore recommended policies that will ensure that costs of productive inputs are affordable to farmers and improving households' income through better prices for their output. Provision of labor saving equipment is also important in reducing inefficiencies in paddy production through reduction in labor cost.
Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria
Agrekon, 2006
This study estimated technical efficiencies on rice farms in Osun State, Nigeria, and identified some socioeconomic factors, which influence productive efficiency. These technical efficiencies were estimated using the stochastic frontier production function approach applied to primary data. A translog production function was used to represent the production frontier of the rice farms. The study showed that the levels of technical efficiency ranged from 29.4% to 98.2% with a mean of 86.6%, which suggests that average rice output falls 13.4% short of the maximum possible level. Therefore in the short run there is scope to increase technical efficiencies on rice farms in the study area. The study also showed that these efficiencies are positively and significantly correlated with the application of traditional preparation methods, and with off-farm income.
Resource Use Efficiency of Upland Rice Farmers in Ivo Local Government Area of Ebonyi State
A stochastic frontier production function which incorporated a model for the technical inefficiency effects was used to investigate the technical efficiency of upland farms in Ivo Local Government Area of Ebonyi State, Nigeria. Farm level and farmers' socio economic characteristics data were obtained using structured questionnaire from 120 farmers that were selected using multi stage random sampling technique. The parameters of the stochastic frontier production function were estimated simultaneously with those of the model of inefficiency effects. Results indicated, except for capital, all other factors were significant (P<0.10). Findings further revealed that none of the sampled cocoyam farms reached the frontier threshold.
Determinants of Level of Economic Efficiency of Rice Producers in Anambra State, Nigeria
Journal of Advance Research in Food, Agriculture and Environmental Science (ISSN: 2208-2417)
This study examined determinants and level of economic efficiency of rice production in Anambra State, Nigeria. The specific objectives were to: estimate the level of economic efficiency attained by rice farmers in the area; ascertain the determinants of level of economic efficiency attained by the farmers and assess the nature of returns to scale of rice production in the study area. Two hypotheses tested were: there is no significant difference between the levels of economic efficiency attained by farmers in the selected agricultural zones and socio-economic characteristics of the rice farmers do not significantly influence their economic efficiency level. Primary data were used for the study and Multistage, purposive and random sampling methods were used select 378 respondents. The collated data were analyzed by means of descriptive and inferential statistical tools such as Ordinary Least Squares (OLS) regression, Cobb Douglas Stochastic Frontier Production function and Scheffe’...
Analysis of Efficiency Among Rice Farmers in Oyo State, Nigeria
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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 efficien...