IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v22y2015i18p1450-1456.html
   My bibliography  Save this article

Assessing the impact of the demographic dividend on real estate prices: empirical evidence from China

Author

Listed:
  • Ying Zhang
  • Xiaoxing Liu
  • Yan Ding
  • Anni Su

Abstract

To elucidate the impact of the demographic dividend on real estate prices, this article uses the latest Chinese provincial data over the 2002-2013 period. The panel vector autoregression (PVAR) model combined with the impulse response function (IRF) is used to investigate the direct and indirect mechanisms of the demographic dividend that cause real estate price escalation in both the short and long term. The empirical results indicate that the demographic dividend, particularly city residents' disposable income, can not only directly increase real estate prices but also indirectly increase prices through intervening channels, such as real estate loans.

Suggested Citation

  • Ying Zhang & Xiaoxing Liu & Yan Ding & Anni Su, 2015. "Assessing the impact of the demographic dividend on real estate prices: empirical evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 22(18), pages 1450-1456, December.
    • Handle: RePEc:taf:apeclt:v:22:y:2015:i:18:p:1450-1456
    DOI: 10.1080/13504851.2015.1039695
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2015.1039695
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2015.1039695?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.

    Citations

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


    Cited by:

    1. Xu Zhang & Xiaoxing Liu & Jianqin Hang & Dengbao Yao & Guangping Shi, 2016. "Do Urban Rail Transit Facilities Affect Housing Prices? Evidence from China," Sustainability, MDPI, vol. 8(4), pages 1-14, April.
    2. Rui Yang & Xin An & Yingwen Chen & Xiuli Yang, 2023. "The Knowledge Analysis of Panel Vector Autoregression: A Systematic Review," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Pengkun Wu & Chong Wu & Yuanyuan Wu, 2018. "Reforming Path of China’s Fertility Policy in Stabilizing Demographic Dividends Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 1225-1243, June.

    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:taf:apeclt:v:22:y:2015:i:18:p:1450-1456. 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/RAEL20 .

    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.