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THE PROFIT EFFICIENCY OF MORINGA OLEIFERA PRODUCTION IN OSUN STATE, NIGERIA
Views:70This study examined the profit efficiency of Moringa oleifera production by farmers in Osun State, Nigeria. Primary data were obtained from 150 respondents. Multistage sampling procedure was used for selecting respondents. The data were analyzed with the aid of descriptive statistics, budgetary analysis and stochastic frontier production function. The findings revealed that male predominate moringa enterprise with about 55.3% male, most producers fall between the age bracket 41-50years with a mean age of 44.92 (± 13.168) years and the average farm size is 0.3 hectares whilst indicating that most producers had less than 0.1 hectares of land. Moringa production had a benefit cost ratio of ₦5.852, profit margin of ₦0.182, expense structure ratio of ₦0.107, net return on investment ₦4.857, rate of return of ₦5.482 and profitability ratio of ₦0.981. The average profit efficiency of moringa producers was 18.73% on the profit frontier. Family labour, hired labour and transport cost were significant and had positive coefficient while the seed cost, pesticide cost, level of education and farm size are also significant but bears negative coefficient. The level of education and farm size are amongst the inefficiency variables considered. This study concludes that Moringa oleifera production is highly profitable but producers have not been able to maximize profit efficiency. It therefore recommends that producers improve on adding value to moringa products and extend their channels of distribution considering the cost incurred on transportation.
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Sensitivity of technical efficiency estimates to estimation methods: an empirical comparison of parametric and non-parametric approaches
67-72Views:107This paper highlights the sensitivity of technical efficiency estimates to estimation approaches using empirical data. Firm specific technical efficiency and mean technical efficiency are estimated using the non parametric Data Envelope Analysis (DEA) and the parametric Corrected Ordinary Least Squares (COLS) and Stochastic Frontier Analysis (SFA) approaches. Mean technical efficiency is found to be sensitive to the choice of estimation technique. Analysis of variance and Tukey’s test suggests significant differences in means between efficiency scores from different methods. In general the DEA and SFA frontiers resulted in higher mean technical efficiency estimates than the COLS production frontier. The efficiency estimates of the DEA have the smallest variability when compared with the SFA and COLS. There exists a strong positive correlation between the efficiency estimates based on the three methods.
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Dairy farms efficiency analysis before the quota system abolishment
147-157Views:142The abolishment of the dairy quota system in the EU is expected to increase competition across dairy farms in Europe. Assuming a common price for milk in the EU, only the most efficient farms will survive in the new environment. The main objective of the research is to compare dairy farms in Germany, The Netherlands and Hungary about their technical efficiency. In the first part of the research, the efficiency is measured by partial efficiency indexes using one dimensional efficiency measuring. In the second part, the Stochastic Frontier Analysis (SFA) have to be used to measure efficiency in a multidimensional space, using six inputs and two outputs. It appears from the results that the highest efficiency farms are in the Netherlands, and then Germany and Hungary follow thus, we get that the most efficient farms are in the Netherlands with 84% efficient. The German farms are 76% efficient. The Hungarian farms are 68% efficient. With respect the abolishment of the dairy quota system, our results suggest that the Dutch farms are the most efficient, thus probably they will increase their production after the quota system. But because the size of the country we cannot expect dramatic changes in the European Dairy market. The Germans farms efficiency is lower, but their efficiency is also lower, so we won’t expect high increase about the dairy supply. The Hungarian dairy sector is not so efficient like the Dutch, and the size of the sector has also small among the European countries, thus if they want to survive the quota system demolishing, they have to increase their technical efficiency.
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Profit efficiency among catfish marketers in Lagos state, Nigeria: a Stochastic Profit Frontier Analysis (SPFA) approach
Views:191The study analyzed the determinants of profit efficiency among catfish marketers in Lagos state, Nigeria. Multistage sampling procedure was used to select 120 catfish marketers, data were collected with the aid of a structured questionnaire. The data collected were analyzed with the use of descriptive statistics, enterprise budgetary technique, Shephered-Futrell method and stochastic profit frontier analysis (SPFA) model. The result of the gross ratio and net return on investment reveals that catfish marketing was a profitable and bankable enterprise. About 76.72% of sales revenue was taken up by the costs. The SPFA reveals that cost of catfish purchased and depreciation cost had positive (p<0.01) effects on profit while transportation cost (p<0.01) and labour cost (p<0.05) had negative effects. Furthermore, marital status and credit use (p<0.01) had negative effects on profit inefficiency, the mean profit efficiency of the catfish marketers was 74%. The study concluded that catfish marketers were inefficient, however, to improve the efficiency of the marketers and create more job opportunities; the study recommends that credit facilities that will enable the marketers increase their scale of operation, acquire better marketing resources and employ capable hands in catfish marketing should be made available and accessible. Policies that will help to provide good road networks and reduce the pump price of premium motor spirit (PMS) should be given adequate consideration.
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Resource use efficiency among rice farmers around fragile ecosystems: evidence from Kilombero Wetland, Tanzania
77-88Views:203Farmers have been encroaching fragile wetlands as a strategy to increase their rice production thus threatening wetlands’ existence and capacity to other critical ecosystem services. This calls for efficient production to strike the balance between food rice production and wetlands’ sustainable existence. The current study sought to provide assess rice farmers’ technical efficiency of resource use by detecting the determinants of rice yield and further identify the determinants of technical efficiency of the resources used by rice farmers in Kilombero wetland. A cross-sectional survey of 145 randomly sampled farmers aided in achieving the study objective. A stochastic frontier analysis (SFA) model was used to analyze data. The mean technical efficiency among farmers was at 60.54% level. The positive determinants of rice yield were land and fertilizers while labor influenced it negatively. Age, education, farming experience, group membership, and credit access reduced inefficiency while the distance to the extension agent and off-farm income increased farmers’ inefficiency. The study concludes that there is a possibility of expanding rice production without threatening the wetland’s existence. It recommends that government and other stakeholders to ensure that rice farmers are up-to-date with optimal use of fertilizers in rice production since it will assist in improving rice yield while the rate of expansion of rice lands in the wetlands will lower. Policy implementers ought to establish initiatives that inspire rice farmers to capitalize on farmer groups and join education programs to take full advantage of their potential efficiency and might participate in community development activities.
JEL code: Q15
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Technical efficiency analysis of maize production: evidence from Ghana
73-79Views:470The study applies the single-stage modelling stochastic frontier approach to investigate the performance of maize farmers in the Ejura-Sekyedumase District of Ghana. It estimates the level of technical efficiency and its determinants for 306 maize farmers. Findings indicated that land, labour and fertilizer influenced output positively whilst agrochemicals and seeds affected output negatively. A wide variation in output was also found among producers of maize. The study further revealed that age, sex and off-farm work activities were significant determinants of technical inefficiencies in production. Results from the maximum likelihood estimate of the frontier model showed that averagely, farmers were 67% technically efficient, implying that 33% of maize yield was not realized. The return to scale which measures the productivity level of farmers was 1.22, suggesting that the farmers are operating at an increasing returns to scale.
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