IDEAS home Printed from https://ideas.repec.org/a/taf/rgovxx/v7y2022i4p511-530.html
   My bibliography  Save this article

The three legal dimensions of China’s big data governance

Author

Listed:
  • Xiaolan Yu

Abstract

Big data governance has emerged as an important area of focus in recent times. In this article, we study the state of big data governance in China, discuss the balance of interests in big data, and seek to develop the theory of big data governance in law. In the past years, some academic achievements have been made in big data governance theories, personal data protection, and data property rights protection based on existing research related to big data governance. However, conflicts of interest in big data have been under-studied and under-analyzed. In this article, we conduct an in-depth study of the state of big data governance in China and develop a theoretical framework for constructing multi-subject governance based on the interest balancing approach, including the allocation of personal data rights and the rights of a data controller, to resolve the conflicts of interests in big data governance in the areas of private law, public law, and industry self-governance.

Suggested Citation

  • Xiaolan Yu, 2022. "The three legal dimensions of China’s big data governance," Journal of Chinese Governance, Taylor & Francis Journals, vol. 7(4), pages 511-530, October.
    • Handle: RePEc:taf:rgovxx:v:7:y:2022:i:4:p:511-530
    DOI: 10.1080/23812346.2021.1988267
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23812346.2021.1988267
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23812346.2021.1988267?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:rgovxx:v:7:y:2022:i:4:p:511-530. 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/rgov .

    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.