IDEAS home Printed from https://ideas.repec.org/p/iie/pbrief/pb18-14.html
   My bibliography  Save this paper

China’s Social Credit System: A Mark of Progress or a Threat to Privacy?

Author

Listed:
  • Martin Chorzempa

    () (Peterson Institute for International Economics)

  • Paul Triolo

    (New America and Eurasia Group)

  • Samm Sacks

    (Center for Strategic and International Studies)

Abstract

No government has a more ambitious and far-reaching plan to harness the power of data to change the way it governs than the Chinese government. Its Social Credit System (SCS), laid out in a plan released in 2014 and still under construction, aims to extend financial credit scoring systems—commonly used by financial institutions in the United States—to other areas of government regulation, from contract enforcement to food safety, corruption, and environmental protection. The plan is to link public and private data on financial and social behavior across China, use the data to evaluate behavior of individuals and organizations, and punish or reward them according to certain agreed upon standards of appropriate conduct. While many of the SCS goals are laudable, the scale and potential impact pose serious risks to individuals and organizations that could result in the opposite of the promised effects. There is still time to shape the SCS to become an effective tool to deal with some of China’s most intractable domestic problems and at the same time minimize the odds of it becoming an Orwellian system of social control.

Suggested Citation

  • Martin Chorzempa & Paul Triolo & Samm Sacks, 2018. "China’s Social Credit System: A Mark of Progress or a Threat to Privacy?," Policy Briefs PB18-14, Peterson Institute for International Economics.
  • Handle: RePEc:iie:pbrief:pb18-14
    as

    Download full text from publisher

    File URL: https://piie.com/publications/policy-briefs/chinas-social-credit-system-mark-progress-or-threat-privacy
    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:iie:pbrief:pb18-14. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peterson Institute webmaster). General contact details of provider: http://edirc.repec.org/data/iieeeus.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.