IDEAS home Printed from https://ideas.repec.org/p/imf/imfscr/2025-302.html

People’s Republic of China: Financial Sector Assessment Program-Technical Note on Anti-Money Laundering/Combating the Financing of Terrorism

Author

Listed:
  • International Monetary Fund

Abstract

This Technical Note explores anti-money laundering/combating the financing of terrorism (AML/CFT) in China. China faces relatively lower money laundering/terrorism financing (ML/TF) threats from abroad with a higher risk of domestic criminal proceeds being transferred overseas. The authorities have taken positive steps to update the supervisory ML/TF risk assessment methodology and the completion of the updated assessment should be expedited. While mechanisms are in place for collaboration between the Anti-Money Laundering Bureau and prudential supervisors, there is a need for an increased focus on AML/CFT considerations as part of fit and proper assessments. Banks have made progress to enhance the effectiveness of their AML/CFT preventive frameworks, with the authorities noting that some smaller payment service providers continue to struggle with compliance with AML/CFT requirements. While the issuance and transaction of crypto assets is prohibited in China, crypto assets can be accessed through circumvention of the prohibition or through illicit mechanisms. China is actively monitoring the use of crypto assets and, in order to safeguard financial integrity, should continue to pay close attention to the illicit use of crypto assets, circumvention of the prohibition and adoption rates.

Suggested Citation

  • International Monetary Fund, 2025. "People’s Republic of China: Financial Sector Assessment Program-Technical Note on Anti-Money Laundering/Combating the Financing of Terrorism," IMF Staff Country Reports 2025/302, International Monetary Fund.
  • Handle: RePEc:imf:imfscr:2025/302
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=571842
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:imf:imfscr:2025/302. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.