Analysis of factors affecting technical efficiency of cassava producers in Delta State, Nigeria (original) (raw)
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Technical Efficiency Among Cassava Farmers im Ikenne Local Government Area of Ogun State, Nigeria
Ethiopian Journal of Environmental Studies and Management, 2015
Cassava has played and continues to play a remarkable role on the agricultural stage of Nigeria. The inability of the country meeting existing demand has been traced to resource use efficiency of the farmers. The study evaluates the technical efficiency among cassava farmers in Ikenne Local Government Area of Ogun State, Nigeria. Primary data employed in the study were obtained from 155 cassava farmers selected through a 2-Stage sampling technique. Data were analyzed using descriptive statistics and stochastic frontier model. Results showed that the return to scale was 1.814. Cassava stem cuttings (0.484), quantity of fertilizer used (0.614) and the farm size (0.427) significantly (p ≤ 0.05) affected cassava production. Age and farming experience contributed to technical inefficiency while cassava stem cuttings, quantity of fertilizer used and the farm size enhanced technical efficiency. Efficiency of cassava growers ranged between 35.1 and 97.0 with a mean of 68.5. It was concluded that cassava production was highly profitable and farmers operated with maximum efficiency given the current technology. The study recommends increased area under cultivation and improved cassava varieties coupled with other inputs to boost to productivity of farmers.
2014
The study examined the technical efficiency of 110 smallholder cassava farmers selected from two Local Government Areas in Kogi State, Nigeria. Descriptive statistics and stochastic frontier production function were used to analyze the primary data collected with the aid of a structured questionnaire. The maximum likelihood estimates showed that labour (0.5054), planting material (0.432) and land resource (0.1388) were the important production factors and directly related to cassava output. The parameters that increased technical efficiency are education, farming experience and extension contacts while age, membership of farmers’ group and household size reduced technical efficiency with mean technical efficiency of 0.9489 (94.89%). The estimates indicated that the farmer have not fully utilized the variable resources as the return to scale was 1.7724. The study concluded that there were still some levels of inefficiency of 0.0511 (0.5.11%) among the cassava farmer; and that the sig...
Productivity and Technical Efficiency of Cassava Production in Ogun State, Nigeria
IOSR Journals , 2019
This study focused on the productivity and technical efficiency of cassava production in Ogun State, Nigeria. A multistage sampling procedure was employed to collect data from 120 sampled respondents which were purposively and randomly selected. Primary data were used through the use of structured questionnaires. Descriptive analytical techniques, multiple regression analysis and budgetary analysis were employed for data analysis. The result of the study showed that majority of the respondents (80.8%) are male and the age of the majority (55.8%) falls within 31-50 years. About 82.5% of the respondents in the study area are married and about (36.7%) of the respondents are literate and majority (55.8%) of them had between 21-40 years of farming experience. The maximum Likelihood Estimates revealed that the planted size, expenses on other planting materials and labour are critical inputs in cassava production in the study area. The result further indicates that socioeconomic condition influences technical efficiency of the cassava farmers. The study indicated that the coefficient for age of the farmers, formal education and gender are negative and are significant suggesting that they significantly and negatively influencing inefficiency. The total revenue obtained was ₦313,525.00 and the Gross Margin was ₦162,285.42. Also the B/C Ratio was ₦1.99k indicating that for every ₦1.00k expended in cassava production 99k was realized as a profit. It was concluded in this study that the socioeconomic characteristics shows that cassava farming is dominated by young people who are well experienced in cassava production, the technical efficiency scores range from 0.00 to 91.86% with an average score of 58.6%. This showed that there is room for improvement and efficiency can still improve by 41.4%. The findings of this study showed that cassava production in the study area is very lucrative. Based on the findings, it was recommended that farmers should be encouraged through technical training on production practices that support the optimum use of their resources.
Asian Journal of Agriculture and Food Sciences
This study used stochastic frontier Analysis to estimate the technical efficiency of cassava production in Ardo-kola Local Government Area of Taraba state. A multi-stage sampling was employed in selecting 142 respondents in the study area. The maximum likelihood estimates of the stochastic frontier production function revealed that farm size, family labour, cassava cutting planting and fertilizer were significantly and positively related to cassava output. Technical efficiency (TE) scores ranged from 0.43 to 0.96 with a mean TE of 0.74, implying that there is a scope for increasing technical efficiency in cassava production by 0.26 in short run under current technology. The study proffered the following recommendations; That Cassava farmers should have access to extension agents to increase their probability of being productive and efficient, policy should be targeted to provide adequate training to extension agents to enhance their performance to their clientele.
Applied Economics and Finance, 2015
The stochastic production frontier was employed in the analysis of the technical efficiency of small scale cassava farmers in Cross River State. A multi-stage random sampling technique was adopted in selecting two hundred (200) cassava farmers from Ikom and Ogoja Agricultural zones in the State. Structured questionnaires were used in collecting data for the study. A stochastic production function, using the Maximum Likelihood Estimating (MLE) technique, was used in estimating the farmer's technical efficiency and their determinants in the study area. The mean technical efficiency of the cassava farmer's was 89%. The result of the generalized Likelihood Ratio (LR) tests confirm that the cassava farmers were technically inefficient, implying that there is room to improve technical efficiency with the farmers' current resource base and available technology. Age and sex of the farmers had negative but significant effect on their technical efficiency, while education, family size, farming experience and farm size had significant and positive influence on farmer's technical efficiency. Therefore, policies that would encourage experienced and educated farmers, especially women to continue in cassava farming are recommended.
This work examined the production efficiency of cassava farms in Taraba State. A purposive sampling method was used to select 300 cassava farmers in the study area. Important information on inputs used and outputs realized in cassava production were collected from cassava farmers using structured questionnaire. The datacollectedwere analyzed using descriptive statistics, stochastic frontier production function and cost function. The estimated gamma parameter of stochastic frontier production function showed that about 92% variation in output among cassava farmers in the study area was due to differences in technical efficiency. The estimated elasticities of production with respect to farm size, family labour, hired labour and fertilizer were statistically significant at 1% and 5% level of significance respectively. The mean technical, allocative and economic efficiency were 0.887, 0.856 and 0.825 respectively, meaning that the sample farmers were relatively very efficient in allocating their limited resources with technical efficiency appears to be more significant than allocative and economic efficiency. The result of the study showed that the major factor affecting cassava productions in the study area were farm size, family labour, hired labour, fertilizer, house hold size, years of schooling and source of funds. These factors were significant and have positive influence on cassava output. It is thus recommended that farmers should be encouraged to adopt more intensive cultural practices instead of continued expansion in land put to cassava production.
Farm Resource Technical Efficiencies' Determinants in Rural Cassava Farms in Kogi State, Nigeria
Asia-Pacific Journal of Rural Development
This study was designed to determine the technical efficiencies of farm resource in rural farms within Nigeria's second largest producer of cassava, Kogi State. A total of 174 cassava farmers from two agricultural zones of the state were sampled. Analysis of questionnaire items was done using a Cobb-Douglas function and Chow's Break-Point test. The farm inefficiencies' levels and sources were determined using stochastic frontier model using Frontier 4.1 software. Farm credit, farm size, chemical fertiliser quantity applied, labour and seedlings planted were significant determinants at 0.05 per cent and 0.01 levels. An increasing return to scale (4.855) was confirmed among the farms while the overall technical efficiencies were high (81%). A statistically significant variation existed in productivity levels of the two zones studied.
Failures in agricultural programs, inadequate rural infrastructure, access to inputs, and a wide range of socio-cultural issues like farmer-herder conflicts, land disputes, and environmental degradation, among other things, have been some of the difficulties Nigerian cassava farmers have faced over the years. These issues significantly impact the productivity and efficiency of rural farmers in Nigeria. As a result, this study investigates the Technical Efficiency of Nigeria's Oyo State's cassava growers. Using multi-stage sampling approaches, primary data were gathered from 200 cassava growers participating in the National Programme for Food Security (NPFS). The data were analyzed using descriptive statistics and stochastic frontier analysis (SFA). The findings reveal a larger percentage of the cassava farmers were male, 83.60%, with a mean age of 50 years; majority, 87%, were married, while the majority, 50%, had secondary education. The mean farm size was 1.1ha, the average household size was 6 household members, and the average farming experience was 16 years, while the majority, 60% of the farmers, actively participated in the National Programme on Food Security (NPFS). The (SFA) results indicate that herbicide quantity and labour used positively influenced cassava output, while the fertilizer quantity negatively affected the cassava output of farmers. The technical inefficiency of the farmers was influenced by marital status, education level, farm size, and access to farm machinery. Based on the findings' results, it is recommended that farm implements be available to farmers at a subsidized rate, with fewer administrative bottlenecks. Also, training and education of the farmers on the proper use of inputs to reduce their technical inefficiencies should be prioritized.
Are Cassava Farmers Technically Efficient in Production? New Evidence from Nigeria
nternational Journal of Applied Research and Technology , 2024
Cassava is one of the most significant, high-consumption, and strategic crop that grows in varieties of environmental conditions in Nigeria. These crop contributes significantly to income generation for household farmers, State and National economy. However, production of cassava is challenged by capital constraints, high cost of labour, high cost of productive inputs and land scarcity among others. Hence, introducing new technology to boost productivity is difficult. As a result, working to improve technical efficiency of cassava farmers is among the best option available. It is on this backdrop that the study was undertaken. Specifically, the study estimated the technical efficiency of cassava farmers in the study area.
Despite the fact that Nigeria is the largest producer of cassava in the whole world, production lags behind the increasing local demand for food and industrial usage, and cassava products are not price competitive in the global market. This paper uses stochastic production frontier approach to examine resource use efficiency of cassava farmers in orderto provide empirical guide to competitive cassava production in Nigeria. Production function exhibitsconstant return to scale and technical efficiency can be improved by as much as 10 percent. Policy suggestions for technical change and outward shift in production function for competitive cassava production are provided.