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Economics of technical efficiency in white honey production: Using stochastic frontier production function

This study estimates and compares technical efficiency levels among beekeeping projects with various production capacities using a sample drawn from Fayoum Governorate in Egypt. The study also compares among beekeeping’s most important economic indicators, estimates the optimum production amount, an...

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Detalles Bibliográficos
Autores principales: Alropy, Eman T., Desouki, Noha E., Alnafissa, Mohamad A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864216/
https://www.ncbi.nlm.nih.gov/pubmed/31762613
http://dx.doi.org/10.1016/j.sjbs.2019.09.029
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author Alropy, Eman T.
Desouki, Noha E.
Alnafissa, Mohamad A.
author_facet Alropy, Eman T.
Desouki, Noha E.
Alnafissa, Mohamad A.
author_sort Alropy, Eman T.
collection PubMed
description This study estimates and compares technical efficiency levels among beekeeping projects with various production capacities using a sample drawn from Fayoum Governorate in Egypt. The study also compares among beekeeping’s most important economic indicators, estimates the optimum production amount, and investigates why technical efficiency in Egyptian beekeeping is declining. We conclude that the average cost to produce one ton of honey decreases when production capacity increases. Furthermore, the average total, net return, and return on investment of one Egyptian pound increases when production capacity increases. Moreover, the results of a stochastic frontier production function indicate an increased return to scale. Finally, the results of maximum likelihood estimation show that technical inefficiency helps explain the deviation of actual from optimal production amounts.
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spelling pubmed-68642162019-11-22 Economics of technical efficiency in white honey production: Using stochastic frontier production function Alropy, Eman T. Desouki, Noha E. Alnafissa, Mohamad A. Saudi J Biol Sci Article This study estimates and compares technical efficiency levels among beekeeping projects with various production capacities using a sample drawn from Fayoum Governorate in Egypt. The study also compares among beekeeping’s most important economic indicators, estimates the optimum production amount, and investigates why technical efficiency in Egyptian beekeeping is declining. We conclude that the average cost to produce one ton of honey decreases when production capacity increases. Furthermore, the average total, net return, and return on investment of one Egyptian pound increases when production capacity increases. Moreover, the results of a stochastic frontier production function indicate an increased return to scale. Finally, the results of maximum likelihood estimation show that technical inefficiency helps explain the deviation of actual from optimal production amounts. Elsevier 2019-11 2019-10-16 /pmc/articles/PMC6864216/ /pubmed/31762613 http://dx.doi.org/10.1016/j.sjbs.2019.09.029 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Alropy, Eman T.
Desouki, Noha E.
Alnafissa, Mohamad A.
Economics of technical efficiency in white honey production: Using stochastic frontier production function
title Economics of technical efficiency in white honey production: Using stochastic frontier production function
title_full Economics of technical efficiency in white honey production: Using stochastic frontier production function
title_fullStr Economics of technical efficiency in white honey production: Using stochastic frontier production function
title_full_unstemmed Economics of technical efficiency in white honey production: Using stochastic frontier production function
title_short Economics of technical efficiency in white honey production: Using stochastic frontier production function
title_sort economics of technical efficiency in white honey production: using stochastic frontier production function
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864216/
https://www.ncbi.nlm.nih.gov/pubmed/31762613
http://dx.doi.org/10.1016/j.sjbs.2019.09.029
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