IDEAS home Printed from https://ideas.repec.org/p/ags/saea10/56513.html
   My bibliography  Save this paper

Multiple Generation Farm Households: What Determines Primacy in Management?

Author

Listed:
  • Remble, Amber A.
  • Keeney, Roman
  • Marshall, Maria I.

Abstract

This study identifies factors that influence primacy between generations in the management structure of U.S. family farms. The paper fills an important gap in the farm succession literature by exploring succession (in management of the farm) as an incremental process. Estimation with cross-sectional data from the USDAERS’ Agricultural Resource Management Survey (ARMS) and a limited dependent variable model is used to explain the decision for older generation operators to retain primary farm management duties with a junior operator serving a secondary role. We identify a number of statistically significant attributes that explain variation in the elder farmer’s role (primary versus secondary) in management of the farm. Our results suggest that transferring primary operator status is more influenced by family members’ characteristics and less so by farm financial and operating characteristics.

Suggested Citation

  • Remble, Amber A. & Keeney, Roman & Marshall, Maria I., 2010. "Multiple Generation Farm Households: What Determines Primacy in Management?," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56513, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea10:56513
    DOI: 10.22004/ag.econ.56513
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/56513/files/SAEA_Rem_Keen_Mar.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.56513?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
    ---><---

    Citations

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


    Cited by:

    1. Danilo Bertoni & Daniele Cavicchioli & Laure Latruffe, 2023. "Impact of business transfer on economic performance: the case of Italian family farms," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 48(2), pages 186-213.
    2. Foltz, Renee D. & Marshall, Maria I., 2012. "Family Business Decision-Making: Factors and Influences on Choosing a Successor," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124272, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Farm Management;

    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:ags:saea10:56513. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    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.