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Stochastic Frontier Model In Agriculture

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Methodology Theoretical Framework Productivity and efficiencies in agricultural production has been around for quite a while. A number of empirical studies (such as Battese and Coelli (1992), Aigner, Lovell and Schmidt (1977) etc) have estimated stochastic frontiers and predicted firm-level efficiencies using these estimated functions, and then regressed the predicted efficiencies upon firm-specific variables (such as managerial experience, ownership characteristics, capital among others) in an attempt to identify some of the reasons for differences in predicted efficiencies between firms in an industry (Battese and Coelli,1995). Efficiency is in production is the act of minimising inputs to maximise output. It has to do …show more content…

(1977) looked at economic application of the stochastic frontier model. This model was applied to the United States agricultural data. Another study was done the same year by Battese and Corra (1977) who applied their technique to the pastoral zone of Eastern Australia. Several recent studies have been done to expand on the knowledge of previous studies. They have sheered more light and have offered a comprehensive review of the application of stochastic frontier model in measuring agricultural producers in the developing countries. Production is defined as the transformation of goods and services into finished products (that is, input – output relationship) and this is applied to every production process, dairy production inclusive (Dia et al., …show more content…

Thaba Nchu, Botshabelo and Bloemfontein which are surrounded by an extensive groups of rural areas. Source: Department of Rural Development (DRD) Nthaba Nchu (2014) Sampling procedure Sheep farmers (Producers) are my target respondents for this study. Approximately 100 sheep farmers will be selected from the study area and will used for this study. The sampling technique to be used is the multistage stratified random sampling technique. The first stage will involve purposive selection of rural areas in Nthaba Nchu, Bloemfontien and Botshabelo with the most sheep production. The second stage will involve simple random sampling through random selection of 100 sheep farmers (producers) in the study area. Source of data Questionnaires and scheduled interviews will be the source used to collect data from the farmers for this study. Interviews will be conducted through interactive sessions with the farmers. Secondary data will be used whenever necessary to complement the primary data. Data

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