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Funciones de producción y eficiencia técnica en el eje cafetero colombiano: una aproximación con frontera estocástica

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  • Perdomo, Jorge-Andres
  • Hueth, Darrell L.

Abstract

Este estudio estimó la forma funcional de producción cafetera en Colombia mediante fronteras estocásticas (FEP). Con esto, se analizó la importancia de los principales insumos empleados en la producción de café (cantidad de hectáreas cultivadas, mano de obra utilizada, maquinaria requerida y cantidad de fertilizantes aplicados), que afectan la productividad. Igualmente, se determinó la existencia de economías a escala en productores pequeños, medianos, grandes y sector general cafetero; ubicados en Caldas, Quindío y Risaralda. Finalmente, fue evaluada la eficiencia técnica (ET) en la producción. Entre los principales resultados, se destaca que la función de producción cafetera tiene una forma funcional Translog minflex Laurent para pequeños, medianos, grandes y sector general del eje cafetero colombiano. Así, para pequeños, medianos y sector general de cafeteros existe ineficiencia técnica y estocástica en la actividad agrícola; caso contrario, en grandes que son eficientes técnicamente aunque no estocásticamente. Por consiguiente, la medida de eficiencia técnica obtenida mediante FEP, indica que el promedio de rendimiento para el sector general es de 70%, en pequeños 70%, medianos 66% y grandes del 99%. Dada la heterogeneidad, en la producción de café, los pequeños, medianos y sector general de caficultores presentan rendimientos crecientes a escala, mientras los grandes cafeteros exhiben rendimientos decrecientes a escala; en el eje cafetero colombiano. De acuerdo con estos resultados, el insumo más importante en el sector cafetero, unidades medianas y pequeñas es el área productiva en café, mientras para los grandes es la mano de obra empleada en el cultivo.

Suggested Citation

  • Perdomo, Jorge-Andres & Hueth, Darrell L., 2010. "Funciones de producción y eficiencia técnica en el eje cafetero colombiano: una aproximación con frontera estocástica," Documentos CEDE Series 100873, Universidad de Los Andes, Economics Department.
  • Handle: RePEc:ags:ulaedd:100873
    DOI: 10.22004/ag.econ.100873
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    References listed on IDEAS

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    1. Coelli, Tim & Fleming, Euan, 2004. "Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea," Agricultural Economics, Blackwell, vol. 31(2-3), pages 229-239, December.
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    3. Cardenas, Gabriela & Vedenov, Dmitry V. & Houston, Jack E., 2005. "Analysis of Production Efficiency of Mexican Coffee-Producing Districts," 2005 Annual meeting, July 24-27, Providence, RI 19470, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Jorge Andres, Perdomo Calvo & Darrell Lee, Hueth & Jorge Andres, Perdomo Calvo, 2011. "Funciones de producción, análisis de economías a escala y eficiencia técnica en el eje cafetero colombiano: una aproximación con frontera estocástica [Estimation of the Production Functional Form, ," MPRA Paper 37179, University Library of Munich, Germany.
    2. Martha Delgado, 2019. "Uso potencial y efectivo de la tierra agrícola en Colombia : resultados del Censo Nacional Agropecuario," Informes de Investigación 18898, Fedesarrollo.
    3. Miguel Angel Orduño Torres & Zein Kallas & Selene Ivette Ornelas Herrera & Bouali Guesmi, 2019. "Is Technical Efficiency Affected by Farmers’ Preference for Mitigation and Adaptation Actions against Climate Change? A Case Study in Northwest Mexico," Sustainability, MDPI, vol. 11(12), pages 1-15, June.

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    More about this item

    Keywords

    Crop Production/Industries;

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other

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