IDEAS home Printed from https://ideas.repec.org/p/ags/eaae99/7716.html
   My bibliography  Save this paper

Problem Detection and Definition - The Case of Farmers' Choice of Organic Milk Production

Author

Listed:
  • Lunneryd, Daniel
  • Ohlmer, Bo

Abstract

Little is known about problem detection and definition, despite that it starts the decision making process. Problem detection means becoming aware of a problem, i.e. of a difference between a desired and perceived situation. Problem definition is the process of specifying the problem, identifying decision options and choosing options to develop further through planning and analysis. The aim is to explain problem detection and definition using the case of farmers' choice of converting to organic milk production. Literature and case studies are used to generate a hypothetical model, which is estimated with survey data, path analysis, the Maximum Likelihood estimator and structural equation modeling. Different problems were identified, such as an ideological problem, a profitability problem or a production problem. Problem detection was affected by farm size, production intensity, dependency on milk production and the financial situation. The decision options included quitting farming, quitting milk production and starting alternative production. Perceived threats concerned 'rules and bureaucracy', 'economy' and 'labor and health situation'. Perceived future opportunities included 'less rigid rules', 'economy', 'way of competing', and 'environmental and personal experiences'. Lack of data about economy and rules probably contributed to the perceived risk.

Suggested Citation

  • Lunneryd, Daniel & Ohlmer, Bo, 2006. "Problem Detection and Definition - The Case of Farmers' Choice of Organic Milk Production," 99th Seminar, February 8-10, 2006, Bonn, Germany 7716, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae99:7716
    DOI: 10.22004/ag.econ.7716
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/7716/files/sp06lu01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.7716?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. Caroline C. Brock & Bradford L. Barham, 2013. "‘Milk is Milk’: Organic Dairy Adoption Decisions and Bounded Rationality," Sustainability, MDPI, vol. 5(12), pages 1-26, December.

    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:eaae99:7716. 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/eaaeeea.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.