IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v56y2024i35p4236-4250.html
   My bibliography  Save this article

Is agricultural self-sufficiency effective to protect local markets from global markets? Empirical evidence from the beef sector in Japan

Author

Listed:
  • Tetsuji Tanaka
  • Jin Guo

Abstract

Although for decades, the Ministry of Agriculture, Forestry, and Fishery of Japan has formed agricultural policies based on food self-sufficiency as a vital factor in securing the domestic food supply, the impacts of agricultural self-sufficiency on the relationship between international and domestic markets are not well understood. Most previous literature on agricultural price transmissions applies conventional error correction and vector autoregression models. However, we employ the state-of-the-art technique, namely the time-varying parameter vector autoregression (TVP-VAR) connectedness model, as well as the dynamic conditional correlations based on the asymmetric Baba – Engle–Kraft – Kroner method to investigate the effectiveness of beef self-sufficiency and its inventory in stabilizing local beef prices in Japan. Our primary results indicate that the global beef price is the net transmitter of shocks, while the home-grown beef price in Japan is the net receiver of shocks. Furthermore, we find that high self-sufficiency in beef does not significantly protect local beef markets from global beef markets, but the imported beef inventory effectively alleviates the wholesale price volatility of imported beef. One policy implication is that the government should not take protectionist policies to enhance beef self-sufficiency, and import beef stocks could be accumulated to stabilize imported beef markets.

Suggested Citation

  • Tetsuji Tanaka & Jin Guo, 2024. "Is agricultural self-sufficiency effective to protect local markets from global markets? Empirical evidence from the beef sector in Japan," Applied Economics, Taylor & Francis Journals, vol. 56(35), pages 4236-4250, July.
  • Handle: RePEc:taf:applec:v:56:y:2024:i:35:p:4236-4250
    DOI: 10.1080/00036846.2023.2210824
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2023.2210824
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2023.2210824?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:applec:v:56:y:2024:i:35:p:4236-4250. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.