IDEAS home Printed from https://ideas.repec.org/p/ags/iefi07/6612.html
   My bibliography  Save this paper

Understanding the U.S. Generic Advertising System and Its Role in Information Management Among Commodities and Food Systems

Author

Listed:
  • Ward, Ronald W.

Abstract

Understanding the U.S. Generic Advertising System and Its Role in Information Management Among Commodities and Food Systems
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ward, Ronald W., 2007. "Understanding the U.S. Generic Advertising System and Its Role in Information Management Among Commodities and Food Systems," 2007 1st Forum, February 15-17, 2007, Innsbruck, Austria 6612, International European Forum on System Dynamics and Innovation in Food Networks.
  • Handle: RePEc:ags:iefi07:6612
    DOI: 10.22004/ag.econ.6612
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/6612/files/sp08wa01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.6612?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ward, Ronald W. & Ferrara, Oscar, 2005. "Measuring Brand Preferences Among U.S. Meat Consumers with Probit Models," 2005 Annual meeting, July 24-27, Providence, RI 19462, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Batie, Cicely M. & Dennis, Elliott J. & Lubben, Bradley D., 2020. "Do state-level agricultural promotion programs increase agricultural output? The case of the Livestock Friendly County designation program in Nebraska," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304399, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martinez, Stephen W. & Hanagriff, Roger D. & Lau, Michael H. & Harris, James Michael, 2007. "Factors Affecting Demand for Branded Beef," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34885, Southern Agricultural Economics Association.

    More about this item

    Keywords

    Marketing;

    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:iefi07:6612. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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/ilbonde.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.