IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-598-0_17.html

An Analysis of the Effectiveness of China’s Monetary Policy Transmission Mechanism on GDP: Based on Vector Autoregression Model

In: Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)

Author

Listed:
  • Xianquan Meng

    (Universiti Kebangsaan Malaysia, Fakulti Ekonomi Dan Pengurusan)

Abstract

How monetary policy affects the level of macroeconomic development is one of the issues that economists have studied deeply. Based on quarterly data from 2004 to 2023, this paper establishes a VAR model and studies the effectiveness of credit channel and money channel on monetary policy transmission through Johansen cointegration test and Granger causality test. The results show that both of them are beneficial to the role of monetary policy, but the correlation between them is small. In addition, the credit channel is the main channel of China’s monetary policy transmission, although the role of the money channel is relatively stable but the influence is small. Based on the content of the study, the authors propose relevant policy implications to facilitate the effective functioning of China’s monetary policy.

Suggested Citation

  • Xianquan Meng, 2024. "An Analysis of the Effectiveness of China’s Monetary Policy Transmission Mechanism on GDP: Based on Vector Autoregression Model," Advances in Economics, Business and Management Research, in: Qiujing Wu & Songsong Liu & Guoliang Wang & Jia Li (ed.), Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024), pages 149-160, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-598-0_17
    DOI: 10.2991/978-94-6463-598-0_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-598-0_17. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.