Narimah Samat, Narimah Samat and Kim Huat Goh, Kim Huat Goh and Kok Fong See, Kok Fong See and Rabiatul Adawiyah Ibrahim, Rabiatul Adawiyah Ibrahim and Ngai Weng Chan, Ngai Weng Chan and Mou Leong Tan, Mou Leong Tan and Lai Kuan Lee, Lai Kuan Lee and Ta Wee Seow, Ta Wee Seow and Muhammad Azizan Sabjan, Muhammad Azizan Sabjan (2023) A meta-analysis of aquaculture technical efficiency studies. Review Aquaculture. pp. 1-23.
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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: | T Technology > T Technology (General) |
| Divisions: | Faculty of Technology Management and Business > FPTP |
| Depositing User: | Mr. Mohamad Zulkhibri Rahmad |
| Date Deposited: | 12 May 2024 03:18 |
| Last Modified: | 12 May 2024 03:18 |
| URI: | http://eprints.uthm.edu.my/id/eprint/10892 |
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