IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v84y2002i5p1293-1300.html
   My bibliography  Save this article

Pigs, People, and Pathogens: A Social Welfare Framework for the Analysis of Animal Antibiotic Use Policy

Author

Listed:
  • Paul E. McNamara
  • Gay Y. Miller

Abstract

No abstract is available for this item.

Suggested Citation

  • Paul E. McNamara & Gay Y. Miller, 2002. "Pigs, People, and Pathogens: A Social Welfare Framework for the Analysis of Animal Antibiotic Use Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1293-1300.
    • Handle: RePEc:oup:ajagec:v:84:y:2002:i:5:p:1293-1300
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/1467-8276.00392
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Dagim G. Belay & Tenaw G. Abate & Jørgen Dejgaard Jensen, 2020. "A Montero Auction Mechanism to Regulate Antimicrobial Consumption in Agriculture," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1448-1467, October.
    2. Gifford, Katie & Bernard, John C., 2004. "The Impact of Message Framing on Organic Food Purchase Likelihood," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(3), pages 1-10, November.
    3. Clancy, Matthew S. & Sneeringer, Stacy E., 2018. "How Much Does it Cost to Induce R&D in Animal Health?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273865, Agricultural and Applied Economics Association.
    4. Jayson L. Lusk & F. Bailey Norwood & J. Ross Pruitt, 2006. "Consumer Demand for a Ban on Antibiotic Drug Use in Pork Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1015-1033.
    5. Ge, Lan & Van Asseldonk, Marcel A.P.M. & Valeeva, Natasha I. & Hennen, Wil & Bergevoet, Ron H.M., 2011. "A Bayesian Belief Network to Infer Incentive Mechanisms to Reduce Antibiotic Use in Livestock Production," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114629, European Association of Agricultural Economists.
    6. Stacy Sneeringer & Matt Clancy, 2020. "Incentivizing New Veterinary Pharmaceutical Products to Combat Antibiotic Resistance," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 653-673, December.

    More about this item

    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:oup:ajagec:v:84:y:2002:i:5:p:1293-1300. 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: Oxford University Press (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.