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Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia

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 iterati...

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Main Authors: Gabdo, Bashir Hamman, Ismail, Mohd Mansor, Kamal, H. A. W, Ilmas, A. M
Format: Article
Language:English
Published: University of Tarbiat Modares 2017
Online Access:http://psasir.upm.edu.my/id/eprint/62934/1/Regional%20simulation%20of%20bootstrap%20efficiency%20of%20broiler%20production%20in%20Peninsular%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/62934/
http://jast-old.modares.ac.ir/article_16351_90b7d3345ef428941dea3f1c73c21355.pdf
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spelling my.upm.eprints.629342018-09-28T10:37:46Z http://psasir.upm.edu.my/id/eprint/62934/ Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia Gabdo, Bashir Hamman Ismail, Mohd Mansor Kamal, H. A. W Ilmas, A. M 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 objective of the study was to measure the robust technical efficiency, production bias and factors motivating technical efficiency in the Northern, Southern, and East-central regions of Peninsular Malaysia. As a regional approach, the study found the existence of both inefficiency and noise in broiler farms across regions of Peninsular Malaysia. Findings show disease infestation and unfavorable temperature as components of noise or exogenous factors or factors beyond farmers’ control in broiler production. The study identified age (+), education (+), experience (+), production system (-), number of poultry farms owne d (-), business status (+) and land tenure status (-) as statistically significant in a meliorating efficiency in broiler production. Result also show that strong statistically significant differences exist in the magnitude of technical efficiency scores between the two estimators across the regions. The study advocate for increase in scale of production as majority of the farmers produce at increasing returns to scale. University of Tarbiat Modares 2017-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/62934/1/Regional%20simulation%20of%20bootstrap%20efficiency%20of%20broiler%20production%20in%20Peninsular%20Malaysia.pdf Gabdo, Bashir Hamman and Ismail, Mohd Mansor and Kamal, H. A. W and Ilmas, A. M (2017) Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia. Journal of Agricultural Science and Technology, 19 (2). 279 - 290. ISSN 1680-7073; ESSN: 2345-3737 http://jast-old.modares.ac.ir/article_16351_90b7d3345ef428941dea3f1c73c21355.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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 objective of the study was to measure the robust technical efficiency, production bias and factors motivating technical efficiency in the Northern, Southern, and East-central regions of Peninsular Malaysia. As a regional approach, the study found the existence of both inefficiency and noise in broiler farms across regions of Peninsular Malaysia. Findings show disease infestation and unfavorable temperature as components of noise or exogenous factors or factors beyond farmers’ control in broiler production. The study identified age (+), education (+), experience (+), production system (-), number of poultry farms owne d (-), business status (+) and land tenure status (-) as statistically significant in a meliorating efficiency in broiler production. Result also show that strong statistically significant differences exist in the magnitude of technical efficiency scores between the two estimators across the regions. The study advocate for increase in scale of production as majority of the farmers produce at increasing returns to scale.
format Article
author Gabdo, Bashir Hamman
Ismail, Mohd Mansor
Kamal, H. A. W
Ilmas, A. M
spellingShingle Gabdo, Bashir Hamman
Ismail, Mohd Mansor
Kamal, H. A. W
Ilmas, A. M
Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia
author_facet Gabdo, Bashir Hamman
Ismail, Mohd Mansor
Kamal, H. A. W
Ilmas, A. M
author_sort Gabdo, Bashir Hamman
title Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia
title_short Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia
title_full Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia
title_fullStr Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia
title_full_unstemmed Regional simulation of bootstrap efficiency of broiler production in Peninsular Malaysia
title_sort regional simulation of bootstrap efficiency of broiler production in peninsular malaysia
publisher University of Tarbiat Modares
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/62934/1/Regional%20simulation%20of%20bootstrap%20efficiency%20of%20broiler%20production%20in%20Peninsular%20Malaysia.pdf
http://psasir.upm.edu.my/id/eprint/62934/
http://jast-old.modares.ac.ir/article_16351_90b7d3345ef428941dea3f1c73c21355.pdf
_version_ 1643837713576624128
score 13.211869

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