IDEAS home Printed from https://ideas.repec.org/a/ags/jlofdr/139280.html
   My bibliography  Save this article

Determinants of Interest in Food-Safety Training: A Logistic Regression Approach

Author

Listed:
  • Ekanem, Enefiok P.
  • Mafuyai-Ekanem, Mary
  • Tegegne, Fisseha
  • Singh, Surendra P.

Abstract

Training in food safety and safe food handling has become critical in recent years as a result of the millions of Americans who are sickened or hospitalized as a result of consuming unsafe food. Food-safety issues have consequently become of utmost importance to consumers, processors, and other food handlers in general. The increasing number of recalls of contaminated food suggests also that there is a continued need to do all that is economically feasible to protect the food system. Despite the importance of food safety, few studies have assessed the need for food safety and/or safe food handling by consumers. These authors are not aware of any studies that have assessed interest in food safety training in Tennessee. A major objective of this paper is to investigate the factors that determine interest in food safety training in Tennessee.In summer 2009, a face-to-face interview of Tennessee consumers was used to assess knowledge, concerns, and training needs for Tennessee consumers. Data were collected from participants in a one-day Small Farm Expo in middle Tennessee. A 21-item questionnaire was used to collect the information presented in this paper. The paper examines issues identified as being of the greatest concern to consumers and identifies factors influencing interest in food-safety training. A logistic regression model was formulated and estimated using the Statistical Package for the Social Sciences (SPSS). Policy implications were drawn from results generated from data analyzed. The paper concludes with suggestions for further research.

Suggested Citation

  • Ekanem, Enefiok P. & Mafuyai-Ekanem, Mary & Tegegne, Fisseha & Singh, Surendra P., 2011. "Determinants of Interest in Food-Safety Training: A Logistic Regression Approach," Journal of Food Distribution Research, Food Distribution Research Society, vol. 42(1), pages 1-8, March.
  • Handle: RePEc:ags:jlofdr:139280
    DOI: 10.22004/ag.econ.139280
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/139280/files/Ekanem_42_1.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.139280?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
    ---><---

    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:jlofdr:139280. 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/fdrssea.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.