IDEAS home Printed from https://ideas.repec.org/p/toh/dssraa/81.html
   My bibliography  Save this paper

Prefecture-Level Spatio-temporal Analysis of Foreign Labour in Japan

Author

Listed:
  • Junyue Wu
  • Yasumasa Matsuda

Abstract

The number of foreign workers in Japan has been growing rapidly in recent years, and this phenomenon is drawing more attention than ever. Prefecture-level data shows uneven distribution across the country, but few research has been done to explain this fact. In this thesis, We proposed a threshold spatio-temporal model and its estimation method based on existing spatial panel model, attempting to improve the goodness of fit and making the comparison of prefectures with different economic properties possible. Then using a series of data published by Japanese government, We fitted the threshold model and traditional panel models to examine the influential factors of foreign labours in Japan at prefecture level. After that, We interpreted the result based on preliminary researches. As a result, the threshold model is proved superior to the two classic models in this study. Judging from the fitted models, the existence of spatial effect is confirmed, and GPP is identified as a major factor of foreign labour; enrolled students, criminal offenses and number of hotel guests as minor factor because they only showed influence in certain regions.

Suggested Citation

  • Junyue Wu & Yasumasa Matsuda, 2018. "Prefecture-Level Spatio-temporal Analysis of Foreign Labour in Japan," DSSR Discussion Papers 81, Graduate School of Economics and Management, Tohoku University.
  • Handle: RePEc:toh:dssraa:81
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10097/00122483
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:toh:dssraa:81. 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: Tohoku University Library (email available below). General contact details of provider: https://edirc.repec.org/data/fetohjp.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.