IDEAS home Printed from https://ideas.repec.org/a/mes/chinec/v55y2022i6p410-424.html
   My bibliography  Save this article

Nonparametric Cointegration Tests for Price Convergence within the Greater Bay Area of China

Author

Listed:
  • Kai-yin Woo
  • Shu-kam Lee
  • Paul Kwok-ching Shum

Abstract

The Chinese Government plans to create a world-class city cluster in the Guangdong-Hong Kong-Macau Greater Bay Area (GBA). The GBA is a very attractive destination for both national and international businesses to profit in trading and investment activities. To realize the anticipated profit potential, existence of purchasing power parity (PPP) is a necessary condition for a favorable prospect of closer economic cooperation and integration in the GBA city cluster. Research study that investigates the PPP relationships among the GBA cities is scarce. To fill this research gap, our study aims to examine validity of the PPP and the extent of goods market integration in the GBA. Since the functional form of the cointegrating relationship may not be exact or linear, we adopt the rank tests for analysis without prior knowledge and specification of the functional form. We also address the rank problems that occur in multivariate rank tests. Results of the rank tests confirm validity of the PPP relationships among the GBA cities with some empirical evidence of nonlinearity that clear the doubt concerning the potential barriers to goods market integration in the GBA. There are policy implications for the local and central authorities in justifying further integrated development programs.

Suggested Citation

  • Kai-yin Woo & Shu-kam Lee & Paul Kwok-ching Shum, 2022. "Nonparametric Cointegration Tests for Price Convergence within the Greater Bay Area of China," Chinese Economy, Taylor & Francis Journals, vol. 55(6), pages 410-424, November.
  • Handle: RePEc:mes:chinec:v:55:y:2022:i:6:p:410-424
    DOI: 10.1080/10971475.2021.2022838
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10971475.2021.2022838
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10971475.2021.2022838?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 search for a different version of it.

    More about this item

    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:mes:chinec:v:55:y:2022:i:6:p:410-424. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MCES20 .

    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.