IDEAS home Printed from https://ideas.repec.org/p/ags/aaea07/9777.html
   My bibliography  Save this paper

Evidence of Changes in Preferences Among Beef Cuts Varieties: An Application of Poisson Regressions

Author

Listed:
  • Ferrara, Oscar
  • Ward, Ronald W.

Abstract

US expenditures on beef products have shown a slow but consistent increase during the last decade. Beef purchases are determined largely by product attributes and the importance that consumers attach to them. Preferences have changed and consumers have become more concern about beef quality, attributes, and safety in general. This study presumes that beef cuts exist at a national level and that consumers know about the different attributes among beef products. These circumstances have encouraged the beef industry to differentiate and add value to its production chain in order to satisfy the increasing demand for a large variety of cuts and product forms. The importance of developing new products has prompted research that identifies consumer trends. Hence, the objective of this paper is to study household purchase behavior and determine the impact of a series of variables expected to affect the frequency of purchasing among beef cut categories across time. Of major interest in this study is if consumers tend to buy just one type of beef during a buying occasion or more.

Suggested Citation

  • Ferrara, Oscar & Ward, Ronald W., 2007. "Evidence of Changes in Preferences Among Beef Cuts Varieties: An Application of Poisson Regressions," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9777, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea07:9777
    DOI: 10.22004/ag.econ.9777
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/9777/files/sp07fe03.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.9777?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. Apri Wahyudi & John K. M. Kuwornu & Endro Gunawan & Avishek Datta & Loc T. Nguyen, 2019. "Factors Influencing the Frequency of Consumers’ Purchases of Locally-Produced Rice in Indonesia: A Poisson Regression Analysis," Agriculture, MDPI, vol. 9(6), pages 1-17, June.

    More about this item

    Keywords

    Demand and Price Analysis;

    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:aaea07:9777. 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/aaeaaea.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.