IDEAS home Printed from https://ideas.repec.org/a/oup/sscijp/v25y2022i2p209-228..html
   My bibliography  Save this article

Homogenous Japan? An Empirical Examination on Public Perceptions of Citizenship
[‘Measuring Dimensions of National Identity across Countries: Theoretical and Methodological Reflections’]

Author

Listed:
  • Yujin Woo

Abstract

Does the Japanese public consider shared ancestry the most essential condition for inclusion of an individual as a member of their country’s citizenry? This paper empirically assesses how the public in the ethnic nation views citizenship acquisition criteria. The originally conducted survey based on a conjoint format in Japan (2015) displays interesting results. Overall, Japanese people most heavily rely on the nationalities of parents in judging who qualifies as ‘Japanese’, confirming the contentions of previous works that highlight Japanese people’s belief in a mono-ethnic Japan. More detailed statistical analyses further reveal that Japanese people consider ethnic heritage through the father as the most essential criterion while the mother’s nationality and country of upbringing are also relevant. These results seem to reflect Japan’s long-lasting beliefs in cultural homogeneity as well as patriarchal values, which are reinforced by a patrilineal tradition of citizenship. This research advances the discussion on how to classify citizenship features by disaggregating ethnic lineage into paternal and maternal lines. Furthermore, it suggests a reevaluation of Japan’s institutional and social attachment to patrilineal ethnic heritage in order to ease multiple layers of discrimination posed against (particularly female) migrants and to realize a sound multiethnic society.

Suggested Citation

  • Yujin Woo, 2022. "Homogenous Japan? An Empirical Examination on Public Perceptions of Citizenship [‘Measuring Dimensions of National Identity across Countries: Theoretical and Methodological Reflections’]," Social Science Japan Journal, University of Tokyo and Oxford University Press, vol. 25(2), pages 209-228.
  • Handle: RePEc:oup:sscijp:v:25:y:2022:i:2:p:209-228.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ssjj/jyac001
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ho, Manh-Tung & Le, Ngoc-Thang B. & Mantello, Peter & Ho, Manh-Toan & Ghotbi, Nader, 2023. "Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude," Technology in Society, Elsevier, vol. 72(C).

    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:oup:sscijp:v:25:y:2022:i:2:p:209-228.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ssjj .

    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.