IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v174y2019icp63-72.html
   My bibliography  Save this article

Farm-household financial interactions: A case-study from Flanders, Belgium

Author

Listed:
  • Wauters, Erwin
  • de Mey, Yann

Abstract

Farm-household financial interactions (FHFI), the intermingling of business finances with household finances, is a largely uninvestigated phenomenon in Europe. This is partly because of data scarcity as the main farm-level accounting database, the FADN, does not include financial information at the household level. Based on primary survey data from Flanders (Belgium), we develop a proxy indicator for FHFI and explore its determinants and impact on future farm performance. Our results show substantive FHFI within Flemish farm households. The results further suggest that it could be interpreted as a deliberate risk management strategy, as we observe greater FHFI in farms operated by more risk averse farmers and with higher levels of financial risk. Nevertheless, more intense FHFI are associated with lower future farm performance. Hence, questions relating to its effect on long-term survival and adaptive capacity remain.

Suggested Citation

  • Wauters, Erwin & de Mey, Yann, 2019. "Farm-household financial interactions: A case-study from Flanders, Belgium," Agricultural Systems, Elsevier, vol. 174(C), pages 63-72.
  • Handle: RePEc:eee:agisys:v:174:y:2019:i:c:p:63-72
    DOI: 10.1016/j.agsy.2019.04.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X18307662
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2019.04.012?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 search for a different version of it.

    Citations

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


    Cited by:

    1. Komarek, Adam M. & De Pinto, Alessandro & Smith, Vincent H., 2020. "A review of types of risks in agriculture: What we know and what we need to know," Agricultural Systems, Elsevier, vol. 178(C).
    2. Thomas Slijper & Yann de Mey & P Marijn Poortvliet & Miranda P M Meuwissen, 2022. "Quantifying the resilience of European farms using FADN," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 121-150.

    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:eee:agisys:v:174:y:2019:i:c:p:63-72. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.