this study investigates issues on efficiency and elasticity of broiler production in peninsular malaysia. data from 296 broiler farms were subjected to sfa, dea and bootstrap methods for technical efficiency; translog and tobit regression analyses to estimate elasticity of production and determinants of efficiency respectively in broiler production. we found that farmers produce mean efficiency...

One of the most important effective factors in the economic growth is the increased efficiency of manufacturing sectors. Thus, it is necessary to review and measure the efficiency of business units from a variety of dimensions to plan the increase of efficiency in future courses. One of these dimensions is the economics to scale (ES) referring to the concept of enhanced earnings due to the incr...

technical and scale efficiencies of cotton farms, in khorasan province, were estimated through the parametric approach during the period 2000-2003. efficiency was estimated through stochastic translog frontier production function based on panel data. results indicated that technical efficiency wa rated as less than scale efficiency. means of technical and scale efficiency were found to be 63 an...

the purpose of this paper is to estimate the welfare cost of inflation in iran. we first use the long-horizon regression approach developed by fisher and seater (1993) to obtain an estimate of the inflation rate elasticity of money demand and then the baily’s consumer surplus approach to calculate the welfare cost function. the results show that reducing inflation rate from 40% to 0% increases ...

This article discusses the challenges of water scarcity and industrial pollution in developing countries, specifically Morocco, where olive oil industry is a significant contributor to organic pollution. The Moroccan government has implemented regulations economic incentives address this issue, but enforcement been hindered by lack information on environmental damage abatement costs. study aims...

‎artificial neural networks have the advantages such as learning, ‎adaptation‎, ‎fault-tolerance‎, ‎parallelism and generalization‎. ‎this ‎paper is a scrutiny on the application of diverse learning methods‎ ‎in speed of convergence in neural networks‎. ‎for this aim‎, ‎first we ‎introduce a perceptron method based on artificial neural networks‎ ‎which has been applied for solving a non-singula...

artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. this paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. for this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. the sugg...

In this paper we have examined the scale and cost inefficiency of a sample of Swiss electricity distribution utilities. To do so, we have considered estimation of a stochastic frontier average cost model using the approach suggested by Schmidt and Sickles (1984) for panel data. A translog cost function was estimated using panel data for a sample of 30 municipal utilities over the period 1992-19...