Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach

Pineapple cultivation proves to be a significant component of Malaysia’s agricultural sector. This research was aimed at quantifying technical efficiency of Johor small-scale pineapple agriculturists. Stochastic Frontier Analysis (SFA), a statistical method used to estimate production or cost fronti...

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Published in:Emirates Journal of Food and Agriculture
Main Author: Muhamad M.Z.; Shamsudin M.N.; Kamarulzaman N.H.; Nawi N.M.; Laham J.
Format: Article
Language:English
Published: Pensoft Publishers 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190961208&doi=10.9755%2fejfa.2023.3201&partnerID=40&md5=1c2e3762e40d1fa6ae287e8fd58b40d0
id 2-s2.0-85190961208
spelling 2-s2.0-85190961208
Muhamad M.Z.; Shamsudin M.N.; Kamarulzaman N.H.; Nawi N.M.; Laham J.
Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
2023
Emirates Journal of Food and Agriculture
35
11
10.9755/ejfa.2023.3201
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190961208&doi=10.9755%2fejfa.2023.3201&partnerID=40&md5=1c2e3762e40d1fa6ae287e8fd58b40d0
Pineapple cultivation proves to be a significant component of Malaysia’s agricultural sector. This research was aimed at quantifying technical efficiency of Johor small-scale pineapple agriculturists. Stochastic Frontier Analysis (SFA), a statistical method used to estimate production or cost frontiers, was the preferred method for this purpose. This approach was also used to identify key elements, such as socio-economic characteristics, that influence technical implementation in pineapple farms. A total of 290 pineapple growers participated in the study, and data was collected between 2019 and 2021 during the growing season. The mean observed score of 0.681 is an indication of agriculturists non-maximum efficiency operation activity. However, the inefficiency model showed that aspects such as agricultural experience, extension visits, and participation in workshops significantly reduced inefficiency. The main problem in production points to suboptimal farming applications: agriculturists abstain from using all available agricultural inputs to achieve maximum production. The findings of the study emphasise the need for agriculturists’ proficiency refinement and upskilling in pineapple cultivation agrarian andragogy. © 2023, Pensoft Publishers. All rights reserved.
Pensoft Publishers
2079052X
English
Article
All Open Access; Gold Open Access
author Muhamad M.Z.; Shamsudin M.N.; Kamarulzaman N.H.; Nawi N.M.; Laham J.
spellingShingle Muhamad M.Z.; Shamsudin M.N.; Kamarulzaman N.H.; Nawi N.M.; Laham J.
Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
author_facet Muhamad M.Z.; Shamsudin M.N.; Kamarulzaman N.H.; Nawi N.M.; Laham J.
author_sort Muhamad M.Z.; Shamsudin M.N.; Kamarulzaman N.H.; Nawi N.M.; Laham J.
title Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
title_short Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
title_full Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
title_fullStr Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
title_full_unstemmed Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
title_sort Assessing technical efficiency in Malaysian pineapple farms: A stochastic frontier analysis approach
publishDate 2023
container_title Emirates Journal of Food and Agriculture
container_volume 35
container_issue 11
doi_str_mv 10.9755/ejfa.2023.3201
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190961208&doi=10.9755%2fejfa.2023.3201&partnerID=40&md5=1c2e3762e40d1fa6ae287e8fd58b40d0
description Pineapple cultivation proves to be a significant component of Malaysia’s agricultural sector. This research was aimed at quantifying technical efficiency of Johor small-scale pineapple agriculturists. Stochastic Frontier Analysis (SFA), a statistical method used to estimate production or cost frontiers, was the preferred method for this purpose. This approach was also used to identify key elements, such as socio-economic characteristics, that influence technical implementation in pineapple farms. A total of 290 pineapple growers participated in the study, and data was collected between 2019 and 2021 during the growing season. The mean observed score of 0.681 is an indication of agriculturists non-maximum efficiency operation activity. However, the inefficiency model showed that aspects such as agricultural experience, extension visits, and participation in workshops significantly reduced inefficiency. The main problem in production points to suboptimal farming applications: agriculturists abstain from using all available agricultural inputs to achieve maximum production. The findings of the study emphasise the need for agriculturists’ proficiency refinement and upskilling in pineapple cultivation agrarian andragogy. © 2023, Pensoft Publishers. All rights reserved.
publisher Pensoft Publishers
issn 2079052X
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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