IDEAS home Printed from https://ideas.repec.org/a/eee/ememar/v59y2024ics1566014124000037.html
   My bibliography  Save this article

Optimal central banking policies: Envisioning the post-digital yuan economy with loan prime rate-setting

Author

Listed:
  • Lim, King Yoong
  • Liu, Chunping
  • Zhang, Shuonan

Abstract

We develop a DSGE model with cash deposits and digital currencies to study the economic stability of two potential central banking policies in China, a Loan Prime Rate (LPR) policy function and central bank digital currency (CBDC) implementation. We Bayesian-estimate both a benchmark model and a “Post-CBDC world”. In the post-CBDC world, although the introduction of CBDC appears to deepen the procyclicality of macroeconomic variables to real shocks, a potential LPR-setting policy appears to have some degree of policy complementarity with CBDC to mitigate this. We also uncover an optimal policy combination of the LPR rule and Taylor-style CBDC rule.

Suggested Citation

  • Lim, King Yoong & Liu, Chunping & Zhang, Shuonan, 2024. "Optimal central banking policies: Envisioning the post-digital yuan economy with loan prime rate-setting," Emerging Markets Review, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:ememar:v:59:y:2024:i:c:s1566014124000037
    DOI: 10.1016/j.ememar.2024.101108
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1566014124000037
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ememar.2024.101108?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Ferry Syarifuddin & Toni Bakhtiar, 2022. "The Macroeconomic Effects of an Interest-Bearing CBDC: A DSGE Model," Mathematics, MDPI, vol. 10(10), pages 1-33, May.

    More about this item

    Keywords

    China; Digital currency; Loan prime rate; Monetary policy; Bayesian DSGE models;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

    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:eee:ememar:v:59:y:2024:i:c:s1566014124000037. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620356 .

    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.