This paper examines relative performance of electricity distribution systems in the UK and Japan between 1985 and 1998 using costbased benchmarking with data envelopment analysis (DEA) and stochastic frontier analysis (SFA) methods. The results suggest that the productivity gain in the UK electricity distribution has been larger than in the Japanese sector. In particular, productivity growth ac...

This study uses stochastic frontier analysis (SFA) to evaluate the efficacy of Cavendish banana cultivation technology in Bojonegoro Regency. An opinion survey 16 farmers spread across seven sub-districts Regency provides primary data. Farmers' technical productivity and variables that affect it are assessed using SFA analysis. Based on findings, producers have an average 80.8%. The production ...

The aim of this paper is to analyze total factor productivity (TFP) growth and its components in Asian countries applying Stochastic Frontier Analysis (SFA) to the time series data of 44 Asian countries from 2000 to 2010. Using Battese and Coelli approach, TFP is divided into technical efficiency change and technical change. TFP decomposition using SFA method for the years 1998 to 2007 indicate...

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...

This paper uses both the non-parametric method of Data Envelopment Analysis (DEA) and the econometric method of Stochastic Frontier Analysis (SFA) to study the production technology and cost efficiency of the U.S. dental care industry using practice level data. The American Dental Association (ADA) 2006 survey data for a number of general dental practices in Colorado are used for the empirical ...

This study aims to analyze the efficiency level of Indonesian sharia insurance with a parametric stochastic frontier approach where input is total assets and claims, output this research investment income. uses quantitative methods secondary data in form shariah Indonesia annual reports 2016-2020. The analysis regression test help (SFA). Based on results processing using (SFA), Sharia insurance...

The objective of this paper is to apply the Translog Stochastic Frontier production model (SFA) and Data Envelopment Analysis (DEA) to estimate efficiencies over time and the Total Factor Productivity (TFP) growth rate for Bangladeshi rice crops (Aus, Aman and Boro) throughout the most recent data available comprising the period 1989-2008. Results indicate that technical efficiency was observed...