A meta‐analysis of aquaculture technical efficiency studies

Abstract As the world population grows, aquaculture sector faces challenges in use of production systems to ensure adequacy food supply. Technical efficiency analysis has been shown be useful for improving resource management and production. This study provides a literature update uses meta‐regression examine variations mean technical (MTE) scores based on 101 studies published from 1998 2023. The findings show that with larger model dimensions, different output measures, an input‐oriented specification analyse exogenous variables scores, freshwater aquaculture, European data produce narrower variance MTE scores. In contrast, panel nonparametric envelopment (DEA) generate wider result these investigations, suggest importance selecting appropriate sample sizes estimates. Robustness checks DEA stochastic frontier (SFA) approaches are recommended future studies. Different policies regulations should implemented countries across farming systems.