Data Envelopment Analysis
Technical efficiency
Post-harvest
Calidad del café
Análisis Envolvente de Datos
Eficiencia técnica
Poscosecha
Cenicafé
Colombia
Qualidade do café
Análise Envoltória de Dados
Eficiência técnica
Pós-colheita
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To enhance the competitiveness and production of specialty coffees in the Cesar department, this research aimed to assess coffee quality and evaluate the effectiveness of the implemented technical recommendations. A total of 3,058 samples from 1,529 farms, spread across 12 coffee-producing municipalities throughout the department, were evaluated during two consecutive harvesting seasons (2021-2023). Initially, the physical and sensory quality of the produced bean was diagnosed, and based on the results, technical recommendations were generated. In the second harvest, the results of those recommendations were evaluated, showing a significant improvement in sensory quality, increasing the percentage of defect-free samples from 79.7% to 85.4%, an increment of 5.7%. To analyze the adoption and effectiveness of the technical recommendations, a Data Envelopment Analysis (DEA) was applied, using an input-oriented CCR model, considering good practices and sensory quality. This analysis identified the most efficient producers and estimated the margin for improvement. The municipalities of La Jagua de Ibirico (21%), Valledupar (17%), Pueblo Bello (16%), and Manaure (12%) recorded the most significant gains in efficiency. In conclusion, these results demonstrate that quality diagnosis and the application of technical recommendations are effective interventions for improving the quality of the coffee produced, highlighting the importance of coffee growers adopting these practices.
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