IDEAS home Printed from https://ideas.repec.org/a/pop/journl/v7y2023i1p99-125.html
   My bibliography  Save this article

Algorithms weighing lives and freedoms: The case of China’s health code

Author

Listed:
  • Ina Virtosu

    (University of Macau, SAR Macau, China)

  • Chen Li

    (University of Macau, SAR Macau, China)

Abstract

In response to the COVID-19 outbreak in the beginning of 2020, Chinese local governments created a software extension on existing mobile applications to monitor citizens’ movement and collect their health data. Very quickly China’s health code became a key resource for the country’s governments to track and contain COVID-19 cases using time, location, and personal interactions. China’s health code system represents an unprecedented form of “biological” governance, which demonstrates and supports the transformation empowered by digital technologies, enhancing the access to healthcare and fusing together mass surveillance and fundamental public service provision. Digital contact tracing has attracted enormous interest among academics and legislators since the outbreak of COVID-19, which resulted in several policy papers and research works, discussing issues, such as the effectiveness and accuracy of virus detection, as well concerns in regard to discrimination and data privacy. However, most of the articles refers to technologies and its implications in the West, and less to the peculiarities and problems related to the use of Chinese health code. Present research analysis the issues related to difficulties to achieve a balance between China’s “zero-COVID policy” and freedom of movement, as well those regarding multiple health code’s proliferation, health code abuses and misuses by officials who do not want to miss any cases for fear of outbreak or being fired. Since China’s health code system is still far from being centralized and uniform across the country, the mutual recognition system has resulted in considerable problems for those who find themselves in high-risk areas.

Suggested Citation

  • Ina Virtosu & Chen Li, 2023. "Algorithms weighing lives and freedoms: The case of China’s health code," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, vol. 7(1), pages 99-125, March.
  • Handle: RePEc:pop:journl:v:7:y:2023:i:1:p:99-125
    as

    Download full text from publisher

    File URL: https://scrd.eu/index.php/scrd/article/view/180/143
    Download Restriction: no

    File URL: https://scrd.eu/index.php/scrd/article/view/180
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Algorithms; Jian Kang Ma (JKM); mutual recognition; high risk area; zero-COVID policy;
    All these keywords.

    JEL classification:

    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

    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:pop:journl:v:7:y:2023:i:1:p:99-125. 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: Catalin Vrabie (email available below). General contact details of provider: https://edirc.repec.org/data/fasnsro.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.