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.
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | aquaculture, data envelopment analysis, meta-regression analysis, stochastic frontier analysis, technical efficiency |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD9000-9999 Special industries and trades > HD9000-9495 Agricultural industries |
| Divisions: | Faculty of Technology Management and Business > FPTP |
| Depositing User: | Mr. Mohamad Zulkhibri Rahmad |
| Date Deposited: | 27 Nov 2024 07:22 |
| Last Modified: | 27 Nov 2024 07:24 |
| URI: | http://eprints.uthm.edu.my/id/eprint/11725 |
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