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A meta-analysis of aquaculture technical efficiency studies

As the world population grows, the aquaculture sector faces challenges in the use of production systems to ensure the adequacy of the food supply. Technical efficiency analysis has been shown to be useful for improving resource management and production. This study provides a literature update and u...

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Main Authors: Samat, Narimah, Goh, Kim Huat, See, Kok Fong, Ibrahim, Rabiatul Adawiyah, Chan, Ngai Weng, Tan, Mou Leong, Lee, Lai Kuan, Seow, Ta Wee, Sabjan, Muhammad Azizan
Format: Article
Language:English
Published: 2023
Subjects:
HD9000-9495 Agricultural industries
Online Access:http://eprints.uthm.edu.my/11725/1/J17064_054042804aa24ec1157a4c5d87e110f8.pdf
http://eprints.uthm.edu.my/11725/
https://doi.org/10.1111/raq.12846
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spelling my.uthm.eprints.117252024-11-27T07:24:10Z http://eprints.uthm.edu.my/11725/ A meta-analysis of aquaculture technical efficiency studies Samat, Narimah Goh, Kim Huat See, Kok Fong Ibrahim, Rabiatul Adawiyah Chan, Ngai Weng Tan, Mou Leong Lee, Lai Kuan Seow, Ta Wee Sabjan, Muhammad Azizan HD9000-9495 Agricultural industries As the world population grows, the aquaculture sector faces challenges in the use of production systems to ensure the adequacy of the food supply. Technical efficiency analysis has been shown to be useful for improving resource management and production. This study provides a literature update and uses meta-regression analysis to examine the variations in aquaculture mean technical efficiency (MTE) scores based on 101 studies published from 1998 to 2023. The findings show that studies with larger model dimensions, different output measures, an input-oriented model specification and that analyse the exogenous variables of efficiency scores, freshwater aquaculture, and European data produce a narrower variance in MTE scores. In contrast, studies that use panel data and nonparametric data envelopment analysis (DEA) generate wider variance in MTE scores. As a result of these investigations, the findings suggest the importance of selecting appropriate variables and sample sizes for efficiency estimates. Robustness checks of efficiency scores from the DEA and stochastic frontier analysis (SFA) approaches are recommended for future studies. Different policies and regulations should be implemented in different countries and across different farming systems. 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/11725/1/J17064_054042804aa24ec1157a4c5d87e110f8.pdf Samat, Narimah and Goh, Kim Huat and See, Kok Fong and Ibrahim, Rabiatul Adawiyah and Chan, Ngai Weng and Tan, Mou Leong and Lee, Lai Kuan and Seow, Ta Wee and Sabjan, Muhammad Azizan (2023) A meta-analysis of aquaculture technical efficiency studies. Reviews In Aquaculture. pp. 1-21. https://doi.org/10.1111/raq.12846
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic HD9000-9495 Agricultural industries
spellingShingle HD9000-9495 Agricultural industries
Samat, Narimah
Goh, Kim Huat
See, Kok Fong
Ibrahim, Rabiatul Adawiyah
Chan, Ngai Weng
Tan, Mou Leong
Lee, Lai Kuan
Seow, Ta Wee
Sabjan, Muhammad Azizan
A meta-analysis of aquaculture technical efficiency studies
description As the world population grows, the aquaculture sector faces challenges in the use of production systems to ensure the adequacy of the food supply. Technical efficiency analysis has been shown to be useful for improving resource management and production. This study provides a literature update and uses meta-regression analysis to examine the variations in aquaculture mean technical efficiency (MTE) scores based on 101 studies published from 1998 to 2023. The findings show that studies with larger model dimensions, different output measures, an input-oriented model specification and that analyse the exogenous variables of efficiency scores, freshwater aquaculture, and European data produce a narrower variance in MTE scores. In contrast, studies that use panel data and nonparametric data envelopment analysis (DEA) generate wider variance in MTE scores. As a result of these investigations, the findings suggest the importance of selecting appropriate variables and sample sizes for efficiency estimates. Robustness checks of efficiency scores from the DEA and stochastic frontier analysis (SFA) approaches are recommended for future studies. Different policies and regulations should be implemented in different countries and across different farming systems.
format Article
author Samat, Narimah
Goh, Kim Huat
See, Kok Fong
Ibrahim, Rabiatul Adawiyah
Chan, Ngai Weng
Tan, Mou Leong
Lee, Lai Kuan
Seow, Ta Wee
Sabjan, Muhammad Azizan
author_facet Samat, Narimah
Goh, Kim Huat
See, Kok Fong
Ibrahim, Rabiatul Adawiyah
Chan, Ngai Weng
Tan, Mou Leong
Lee, Lai Kuan
Seow, Ta Wee
Sabjan, Muhammad Azizan
author_sort Samat, Narimah
title A meta-analysis of aquaculture technical efficiency studies
title_short A meta-analysis of aquaculture technical efficiency studies
title_full A meta-analysis of aquaculture technical efficiency studies
title_fullStr A meta-analysis of aquaculture technical efficiency studies
title_full_unstemmed A meta-analysis of aquaculture technical efficiency studies
title_sort meta-analysis of aquaculture technical efficiency studies
publishDate 2023
url http://eprints.uthm.edu.my/11725/1/J17064_054042804aa24ec1157a4c5d87e110f8.pdf
http://eprints.uthm.edu.my/11725/
https://doi.org/10.1111/raq.12846
_version_ 1817845160428437504
score 13.223943

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