IDEAS home Printed from https://ideas.repec.org/a/bla/jageco/v77y2026i2p429-440.html

Is Technological Heterogeneity the Key to Sustainable Coffee Production Efficiency?: A Latent Class Frontier Analysis in the Traditional Coffee Region of Colombia

Author

Listed:
  • Orlando Rodríguez
  • Maria Vrachioli
  • Johannes Sauer

Abstract

Coffee producers deal with uncertainty due to high volatility in coffee prices. To navigate these challenges, producers must balance the tradeoff between higher yield and better quality utilising heterogeneous technologies, such as intensive production methods and environmental management practices. The aim of this study is to identify the extent to which heterogeneous technologies, particularly those focused on sustainable management, can influence the technical efficiency of Colombian coffee farms. Using the Latent Class Stochastic Frontier Model (LCSFM), we studied the unobserved differences in technologies among 387 Colombian coffee farms in the Andes. Our findings show that farms adhering to sustainable standards achieved an efficiency rate of 95.68%, compared to 74.93% for farms heavily reliant on chemical pesticides. These results underscore the efficiency benefits of sustainable practices and provide targeted recommendations to improve productivity among different groups of coffee growers. This research contributes to the broader understanding of how adopting sustainable technologies can enhance efficiency in coffee production, offering key insights for policymakers and practitioners aiming to stabilise and develop the sector.

Suggested Citation

  • Orlando Rodríguez & Maria Vrachioli & Johannes Sauer, 2026. "Is Technological Heterogeneity the Key to Sustainable Coffee Production Efficiency?: A Latent Class Frontier Analysis in the Traditional Coffee Region of Colombia," Journal of Agricultural Economics, Wiley Blackwell, vol. 77(2), pages 429-440, June.
  • Handle: RePEc:bla:jageco:v:77:y:2026:i:2:p:429-440
    DOI: 10.1111/1477-9552.70022
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1477-9552.70022
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1477-9552.70022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jageco:v:77:y:2026:i:2:p:429-440. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-857X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.