IDEAS home Printed from https://ideas.repec.org/a/ags/jordng/330832.html
   My bibliography  Save this article

A Research on Mid-to-long-term Supply and Demand Model of Korean Beef Using Cattle Slaughter Rates

Author

Listed:
  • Jeon, Sanggon

Abstract

This study aims to refine the forecast model for Korean cattle supply and demand amid concerns about price drops due to a steady increase in Korean cattle breeding. Also, our research aims to contribute significantly to refining the identification and analysis of the breeding and slaughtering status in the Korean cattle industry. This study established a ‘mid-to-long-term forecast model for Korean beef supply and demand, far different from the previous ones by using slaughter rates instead of the number of cattle heads. In addition, the model successfully reflects concerns about farmers’ risks and structural changes in the current Korean beef breeding structure. As a result, the model we devised through our research will make it easier to forecast farmers’ mid-to-long-term breeding intentions and the supply-demand status in the Korean beef industry.

Suggested Citation

  • Jeon, Sanggon, 2022. "A Research on Mid-to-long-term Supply and Demand Model of Korean Beef Using Cattle Slaughter Rates," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 45(1), March.
    • Handle: RePEc:ags:jordng:330832
    DOI: 10.22004/ag.econ.330832
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/330832/files/RE45-1-02.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.330832?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:jordng:330832. 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/kreinkr.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.