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Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems

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Abstract

This paper assesses the efficiency of crop and livestock production in Colombia by using a sample of 1,565 households. The study considers households located in different production systems which differ in geography, climate and soil types. These conditions affect technical efficiency and thus render analysis under the same production frontier as inadequate. For this reason, stochastic metafrontier techniques are preferred, allowing the estimation of technical efficiency within each production system and between production systems in relation to the sector as a whole. Results suggest that households in some production systems could be benefiting from better production conditions due to advantages in the availability of natural resources and climate as well as to more favorable socio-economic conditions. Additionally, we found that, in all systems, households with higher production have higher measures of technical efficiency. Thus, significant gains could be achieved in the sector through measures that contribute to improve the efficiency of households within their production systems and by policies that help reduce the technology gap in relation to the meta-frontier. These policies would bring positive impacts on the quality of life of small farmers and on the productivity of the sector.

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  • Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2015. "Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems," Borradores de Economia 914, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:914
    DOI: 10.32468/be.914
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    File URL: https://doi.org/10.32468/be.914
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    Cited by:

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    2. Khanal, Uttam & Wilson, Clevo & Shankar, Sriram & Hoang, Viet-Ngu & Lee, Boon, 2018. "Farm performance analysis: Technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions," Land Use Policy, Elsevier, vol. 76(C), pages 645-653.
    3. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2020. "Corporate taxes and firms' performance: A meta-frontier approach," Borradores de Economia 1116, Banco de la Republica de Colombia.
    4. Lisandro Roco & Boris Bravo-Ureta & Alejandra Engler & Roberto Jara-Rojas, 2017. "The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach," Sustainability, MDPI, Open Access Journal, vol. 9(9), pages 1-16, September.
    5. John N. Ng’ombe, 2017. "Technical efficiency of smallholder maize production in Zambia: a stochastic meta-frontier approach," Agrekon, Taylor & Francis Journals, vol. 56(4), pages 347-365, October.

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    More about this item

    Keywords

    Stochastic frontier analysis; technical efficiency; metafrontier production function; Colombia;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • 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

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