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Stochastic frontier approach and data envelopment analysis to total factor productivity and efficiency measurement of Bangladeshi rice


Bourdon, Jérémie and Hossain, Md. Kamrul and Kamil, Anton Abdulbasah and Baten, Md Azizul and Mustafa, Adli (2012) Stochastic frontier approach and data envelopment analysis to total factor productivity and efficiency measurement of Bangladeshi rice. PLoS ONE, 7 (10). pp. 1-9. ISSN 1932-6203

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Abstract

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 as higher for Boro among the three types of rice, but the overall technical efficiency of rice production was found around 50%. Although positive changes exist in TFP for the sample analyzed, the average growth rate of TFP for rice production was estimated at almost the same levels for both Translog SFA with half normal distribution and DEA. Estimated TFP from SFA is forecasted with ARIMA (2, 0, 0) model. ARIMA (1, 0, 0) model is used to forecast TFP of Aman from DEA estimation.

Item Type: Article
Subjects: Q Science > QA Mathematics
Divisions: College of Arts and Sciences
Depositing User: Prof. Madya Dr. Md. Azizul Baten
Date Deposited: 18 Dec 2014 02:18
Last Modified: 18 Dec 2014 02:18
URI: http://repo.uum.edu.my/id/eprint/12843

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