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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Bibliographic Details
Published in:Reviews in aquaculture 2024-01, Vol.16 (1), p.452-472
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
Subjects:
Adequacy
Analysis
Aquaculture
Data envelopment analysis
Efficiency
Farming systems
Food supply
Freshwater
Freshwater aquaculture
Inland water environment
meta‐regression analysis
Polyculture (aquaculture)
Population studies
Regression analysis
Resource management
stochastic frontier analysis
Stochasticity
technical efficiency
Variance
World population
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Summary: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.
ISSN:1753-5123
1753-5131
DOI:10.1111/raq.12846