IDEAS home Printed from https://ideas.repec.org/a/ucp/ecdecc/doi10.1086-721837.html
   My bibliography  Save this article

Farm Size and Productivity: The Role of Family Labor

Author

Listed:
  • Muhammad Ayaz
  • Mazhar Mughal

Abstract

We draw a theoretical model to demonstrate that small farms achieve lower total factor productivity (TFP) compared with large farms, even though the yield of small farms may be higher. We argue that taking into account family labor modifies the farm size-productivity relationship. We test our hypotheses using geocoded data from 5,645 agriculture farms in Pakistan combined with remote-sensing data to account for farm-specific topographic features. We base our analysis on ordinary least squares and stochastic frontier analysis and find that family labor is the key to understanding the nature and strength of the farm size-productivity relationship. The association of farm size with both yield and TFP turns positive when we measure family labor in terms of market wage rate rather than marginal product of labor. Farm yield decreases by 0.07% with a 1% increase in farm size but is not significantly related to farm size when the family labor cost is measured in terms of market wages rather than marginal product. We find that higher family labor intensity, labor-market distortion due to the notion of family dishonor, and suboptimal crop selection by small farms play a crucial role in this context.

Suggested Citation

  • Muhammad Ayaz & Mazhar Mughal, 2024. "Farm Size and Productivity: The Role of Family Labor," Economic Development and Cultural Change, University of Chicago Press, vol. 72(2), pages 959-995.
  • Handle: RePEc:ucp:ecdecc:doi:10.1086/721837
    DOI: 10.1086/721837
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/721837
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/721837
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/721837?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Ayaz & Mazhar Mughal, 2023. "Land Inequality and Landlessness in Pakistan Authors," Working Papers hal-04004784, HAL.

    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:ucp:ecdecc:doi:10.1086/721837. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/EDCC .

    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.