IDEAS home Printed from https://ideas.repec.org/p/ags/aare07/10384.html
   My bibliography  Save this paper

Chicken Supreme: How the Indonesian Poultry Sector Can Survive Avian Influenza

Author

Listed:
  • Vanzetti, David

Abstract

Avian influenza is a deadly disease that can spread rapidly through poultry. There are many documented cases of transmission from birds to people, but as yet only rare instances of human to human transmission. Nonetheless, public health officials are concerned about the possibility of a human pandemic, and many countries have policies of banning imports of live birds and poultry meat from infected regions. The potential impacts on Indonesia of a production shock, a shift in consumption or a trade ban are assessed using a heterogeneous product model where imports are differentiated by source. Empirical results suggest the likely trade impacts in Indonesia are minimal because its trade is a small share of production.

Suggested Citation

  • Vanzetti, David, 2007. "Chicken Supreme: How the Indonesian Poultry Sector Can Survive Avian Influenza," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10384, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare07:10384
    DOI: 10.22004/ag.econ.10384
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/10384/files/cp07va03.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.10384?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. Thurlow, James, 2010. "Implications of avian flu for economic development in Kenya:," IFPRI discussion papers 951, International Food Policy Research Institute (IFPRI).
    2. Diao, Xinshen, 2009. "Economywide impact of avian flu in Ghana: A dynamic CGE model analysis," IFPRI discussion papers 866, International Food Policy Research Institute (IFPRI).
    3. Fachinello, Arlei Luiz & Ferreira Filho, Joaquim Bento de Souza, 2008. "Análise Dos Reflexos Econômicos Derivados De Surtos Da Gripe Aviária No Brasil Utilizando Um Modelo De Equilíbrio Geral Computável," 46th Congress, July 20-23, 2008, Rio Branco, Acre, Brazil 110071, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).

    More about this item

    Keywords

    Livestock Production/Industries;

    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:aare07:10384. 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/aaresea.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.