The Production of Thailand's Sugarcane: Using Panel Data Envelopment Analysis (Panel DEA) Based Decision on Bootstrapping Method

Analysis in the panel data setting (Panel DEA) using collected data for sugarcane farming households in major regions of Thailand. The information about sugarcane in during period of 5 crop from 2008-2012 to analyse technical efficiency. A Panel Bootstrap Method is conducted to indicate statistical exactness of Panel Data Envelopment Analysis. Bootstrapping DEA panel data approach was used in empirical analysis despite being an important statistical tool for improving the estimation accuracy. Technical efficiency is modelled as a function of sugarcane yield and production factors. The results from the deterministic, indicate that the statistical properties, technical efficiency in term of sugarcane yield per rai* is significantly influenced by Area planted per rai and Rainfall (mm Lilit) as rainfall regional factors. In addition, scale efficiency analysis shows that for two ordinarily long years, the technical efficiency analysis of farm households involved in sugarcane production can be adopted for policy recommendation based on bootstrapping DEA panel data approaches because the mean of bootstrapping Panel DEA approach equal to the mean of DEA approach in the panel data setting in both 2008 and 2011 only. This is the contribution of this paper whenever the scholars want to estimate the DEA panel data approaches the results of these Simulations (resampling based) confirm these theoretical results by bootstrapping Panel DEA approach. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).