IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v57y2025i6p690-708.html
   My bibliography  Save this article

Updating the analysis of rice import liberalization in Japan: a dynamic-stochastic CGE modelling approach

Author

Listed:
  • Nico Vellinga
  • Tetsuji Tanaka

Abstract

Food self-sufficiency is a central pillar of agricultural policy in Japan, and a high import tariff strictly protects the domestic rice market. Most existing studies investigate the deterministic impacts of the rice trade liberalization policy in the country; one, in particular, developed a static-stochastic computable general equilibrium (CGE) model to estimate how risky the policy would be in securing the food supply, which fails to account for the long-term effects of a free trade policy. We analyse the impacts of rice trade liberalization in Japan, constructing the first global-scale dynamic-stochastic CGE model. We update the policy analysis of the previous study by extending the static-stochastic model to a dynamic-stochastic framework that allows us to analyse the long-term impacts of the policy in a probabilistic manner. The primary findings are that household welfare converges at a higher level in the long term than in the short term. Second, the shocks to household welfare from abroad persistently become more significant over time. Finally, we have determined that the optimal level for government strategic rice reserves is 300 thousand tons. Therefore, it is apparent that the current stock level of 1000 thousand tons is not cost-effective.

Suggested Citation

  • Nico Vellinga & Tetsuji Tanaka, 2025. "Updating the analysis of rice import liberalization in Japan: a dynamic-stochastic CGE modelling approach," Applied Economics, Taylor & Francis Journals, vol. 57(6), pages 690-708, February.
  • Handle: RePEc:taf:applec:v:57:y:2025:i:6:p:690-708
    DOI: 10.1080/00036846.2024.2305617
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2024.2305617
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2024.2305617?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:57:y:2025:i:6:p:690-708. 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.