Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farms

The objective of this study was to determine the economic efficiency of resource utilization in broiler production farms using a non-parametric production function, data envelopment analysis (DEA). Data for the analysis were collected from a cross section of 44 farmers using a multi-stage sampling p...

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Main Authors: MD Heidari, M Omid, A Akram
Format: Article
Language:English
Published: Fundação APINCO de Ciência e Tecnologia Avícolas 2011-12-01
Series:Brazilian Journal of Poultry Science
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2011000400009
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author MD Heidari
M Omid
A Akram
author_facet MD Heidari
M Omid
A Akram
author_sort MD Heidari
collection DOAJ
description The objective of this study was to determine the economic efficiency of resource utilization in broiler production farms using a non-parametric production function, data envelopment analysis (DEA). Data for the analysis were collected from a cross section of 44 farmers using a multi-stage sampling procedure. In DEA models the farmers that produce their level of output with the least amount of input serve as benchmarks against which the input use inefficiency of all other farmers can be measured. The total variable costs, net return and benefit cost ratio were calculated to be 3506.29 $ (1000 bird)-1, 1386.53 $ (1000 bird) -1 and 1.38, respectively. The average values of technical and scale efficiencies of farmers were found to be 0.92 and 0.93. The results also revealed that about 10% of the total input resources could be saved if the farmers follow the input package recommended by the DEA.
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spelling doaj.art-dced05d19e29467c89c90958e2c44eed2022-12-22T01:19:13ZengFundação APINCO de Ciência e Tecnologia AvícolasBrazilian Journal of Poultry Science1516-635X1806-90612011-12-0113427127710.1590/S1516-635X2011000400009Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farmsMD HeidariM OmidA AkramThe objective of this study was to determine the economic efficiency of resource utilization in broiler production farms using a non-parametric production function, data envelopment analysis (DEA). Data for the analysis were collected from a cross section of 44 farmers using a multi-stage sampling procedure. In DEA models the farmers that produce their level of output with the least amount of input serve as benchmarks against which the input use inefficiency of all other farmers can be measured. The total variable costs, net return and benefit cost ratio were calculated to be 3506.29 $ (1000 bird)-1, 1386.53 $ (1000 bird) -1 and 1.38, respectively. The average values of technical and scale efficiencies of farmers were found to be 0.92 and 0.93. The results also revealed that about 10% of the total input resources could be saved if the farmers follow the input package recommended by the DEA.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2011000400009Data envelopment analysiseconomicfeed costpoultry farmstechnical efficiency
spellingShingle MD Heidari
M Omid
A Akram
Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farms
Brazilian Journal of Poultry Science
Data envelopment analysis
economic
feed cost
poultry farms
technical efficiency
title Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farms
title_full Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farms
title_fullStr Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farms
title_full_unstemmed Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farms
title_short Using nonparametric analysis (DEA) for measuring technical efficiency in poultry farms
title_sort using nonparametric analysis dea for measuring technical efficiency in poultry farms
topic Data envelopment analysis
economic
feed cost
poultry farms
technical efficiency
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2011000400009
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