Economics of technical efficiency in white honey production: Using stochastic frontier production function

Frontier Production Functions and Technical Efficiency: a Survey of Empirical Applications in Agricultural Economics

Production frontiers, technical efficiency, survey of applications. The modelling and estimation of frontier production functions has been an important area of econometric research during the last two decades. F~rsund, Lovell and Schmidt (1980) and Schmidt (1986) present reviews of the concepts and models involved and cite some of the empirical applications which had appeared to their respectiv...

Estimating Production Uncertainty in Stochastic Frontier Production Function Models

One of the main purposes of the frontier literature is to estimate inefficiency. Given this objective, it is unfortunate that the issue of estimating “firm-specific” inefficiency in cross sectional context has not received much attention. To estimate firm-specific (technical) inefficiency, the standard procedure is to use the mean of the inefficiency term conditional on the entire composed erro...

Technical and Economic Efficiency of Rice Production in the Kou Valley (burkina Faso): Stochastic Frontier Approach

The present paper seeks to deal with the issue of technical and economic efficiency of rice producers in the Kou valley, located in the region of the high basins in the western part of Burkina Faso. The stochastic frontier approach was used to estimate the production function, from a CobbDouglas stochastic frontier function and its dual which allow the estimation of the technical, allocative an...

Comparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran

Evaluation Factors Affecting of Risk Production in Sistan Grape Growers by using Stochastic Frontier Approach

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...