IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-97-9041-8_5.html
   My bibliography  Save this book chapter

Estimating Interregional Trade by the Gravity-RAS Method

In: Multi-Regional Input–Output Analysis of the Japanese Economy

Author

Listed:
  • Mitsuo Yamada

    (Chukyo University)

Abstract

In creating an intra-regional IOT of one prefecture, estimating the trade among regions is important, one of which, the gravity-RAS method, is examined by applying Aichi prefecture as a case. The interregional trade data within a country continues to be difficult to obtain completely, which forces one to shift from adopting the survey method to some kind of non-survey method in the estimation of the interregional trade coefficients. LQ techniques, gravity models, the RAS method, and others have been developed or applied for such estimation. In this chapter, we summarize related preceding research and explain the gravity-RAS method, a method of estimating interregional trade that is considered here. We estimate the model and examine the degree of difference in the IOT of Aichi Prefecture depending on the given conditions.

Suggested Citation

  • Mitsuo Yamada, 2024. "Estimating Interregional Trade by the Gravity-RAS Method," Springer Books, in: Multi-Regional Input–Output Analysis of the Japanese Economy, chapter 0, pages 101-122, Springer.
    • Handle: RePEc:spr:sprchp:978-981-97-9041-8_5
    DOI: 10.1007/978-981-97-9041-8_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-981-97-9041-8_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.