bootstrapping the dea is one of the current methods of measuring robust efficiency by constructing a confidence interval and measuring the noise (bias) in production. in this study, two estimators: the conventional data envelopment analysis (dea) and bootstrap simulation with 2,000 bootstrap iterations were applied on a cross sectional data of 296 broiler farms in peninsular malaysia. the objec...

This paper used Data Envelopment Analysis (DEA) to measure the technical efficiency of fishing vessels in Haizhou Bay, and then used the Tobit regression to define its influencing factors. This study shows that the overall fishing capacity utilization of fishing vessels at present is very low which indicates that there is a serious problem of waste of resources in Haizhou Bay. Specifically, the...

in order to study effective factors in sugar beet production using two stage cluster sampling, totally one hundred producers were selected from kermanshah and islamabad cities in kermanshah province. data were collected through interviews and  filling out questionnairs for crop season 1999-2000. evaluation of technical efficiency of sugar beet producers and  its  effective factors was carried o...

considering the efficiency studies play a role in making available the revise in relative importance, policy reforms and resource management, this study has been accomplished in fish beach seine cooperative companies located in golestan province and used dea approach to measure the technical efficiency (te) and factor effects. the survey data were gathered from 20 farms, which selected via cens...

Using mariculture data from China’s nine coastal provinces from 2003 to 2015, this paper first evaluates the technical efficiency through data envelopment analysis (DEA). Then, this paper analyses the spatial spillover effect of technical efficiency and its influencing factors with a spatial panel Durbin model (SDM). The results indicate that there are obvious regional differences in the techni...

This paper aims to analyse the technical efficiency (TE) of dairy farms and find its determinants. To accomplish this problem, Stochastic Frontier Analysis was applied. The data were obtained from Farm Accountancy Data Network database for (TF15-45—Specialist dairying) 2004–2019. Dairy divided into four clusters according their physical size (number livestock units per farm) economic (standard ...