| Abstract |
This study evaluates the management efficiency of Korean melon farms in Seongju and suggests
strategies for improvement. Using Data Envelopment Analysis (DEA), the findings indicate an
average Technical Efficiency (TE) of 0.79, Pure Technical Efficiency (PTE) of 0.93, and Scale
Efficiency (SE) of 0.85, with inefficiencies primarily attributed to scale-related factors. To further
differentiate and rank the 21 farms with a PTE of 1, a Super Efficiency DEA was applied, enabling
more detailed analysis. Furthermore, Bootstrap Simultaneous Quantile Regression (SQR) analysis
reveals that larger cultivation areas are associated with increased efficiency, whereas longer
cropping periods tend to reduce efficiency. These findings provide a foundation for enhancing
the competitiveness of Korean melon farms in Seongju and offer important implications for
sustainable agricultural development.
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