IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v49y2025i1d10.1007_s12197-025-09709-x.html
   My bibliography  Save this article

Persistence in China’s household consumption level: implications for the new growth model

Author

Listed:
  • Gloria Claudio-Quiroga

    (Universidad Francisco de Vitoria, Universidad Francisco de Vitoria, Carretera)

  • Luis Alberiko Gil-Alana

    (University of Navarra and Universidad Francisco de Vitoria, University of Navarra)

  • Andoni Maiza Larrarte

    (University of the Basque Country UPV/EHU)

Abstract

In this paper, we investigate the statistical features of China’s household consumption level by calculating its degree of persistence and testing for the existence of trends in the data. Further, we contrast the results obtained in China with those corresponding to the G7 economies and in the other three countries that make up the fastest developing BRICs group, that is, Brazil, Russia and India. Our results show large degrees of heterogeneity depending on the country and the model used for the analysis though, in general, lower degrees of dependence and thus, more evidence of transitory shocks is observed in China and the rest of BRIC economies than in the G7 countries.

Suggested Citation

  • Gloria Claudio-Quiroga & Luis Alberiko Gil-Alana & Andoni Maiza Larrarte, 2025. "Persistence in China’s household consumption level: implications for the new growth model," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 49(1), pages 283-298, March.
  • Handle: RePEc:spr:jecfin:v:49:y:2025:i:1:d:10.1007_s12197-025-09709-x
    DOI: 10.1007/s12197-025-09709-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12197-025-09709-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12197-025-09709-x?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

    Keywords

    China; Consumption; Household; Persistence; Time trends;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • F64 - International Economics - - Economic Impacts of Globalization - - - Environment
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements

    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:jecfin:v:49:y:2025:i:1:d:10.1007_s12197-025-09709-x. 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.