A stochastic production frontier model is formulated within the generalized production function framework popularized by Zellner and Revankar (1969) and Zellner and Ryu (1998). This framework is convenient for parsimonious modeling of a production function with variable returns to scale specified as a function of output. Two alternatives for introducing the stochastic inefficiency term and the ...

The study was conducted to indicate the determinants of technical efficiency of the dairy farmers in Ada’a district of Oromia state, Ethiopia. The study was arranged in four purposively selected peasant associations of the peri-urban and four kebeles of the urban dairy production sub-systems from which thirty dairy farmers were selected randomly. A total of two hundred forty respondents were pe...

The study was carried out to provide empirical evidence on technical efficiency of maize production in Nigeria using parametric and non-parametric approaches. The study employed annual secondary data on maize production in Nigeria from 1971 to 2010.Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) were used to estimate the technical efficiency of maize production. The resul...

Data Envelopment Analysis (DEA) is the methodology for evaluating the relative productive efficiency of decision making units (DMUs) that produce multiple-outputs using multiple-inputs. DEA was proposed for the first time in 1957 by Farrell; nonetheless, the wide usage of this method begun with its generalization and the linear programming formulation which is due to Charnes et al. (1978) (for ...

To meet the growing food demand of Bangladesh requires efficiently use of inputs and effectively manage of production practices at the farm level. Thus, the present study aims to measure the technical efficiency and establish core factors affecting boro and aman rice production in Bangladesh. The study employed mainly farm level data collected from 80 farm households selected randomly in Dinajp...

Due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. Data analysis was performed by using stochastic frontier. Data gathered by questionnaires at three counties of Zabol, Hirmand and Zahak at 265 grape farmers in crop year of 2011-201...

The paper presents a metafrontier production function model for farm’s different groups having different technologies. The metafrontier model enables the computation of comparable technical efficiencies for farms operating under different technologies. The model also enables the technology gaps to be estimated for wheat farms under different technologies relative to the potential technology ava...