IDEAS home Printed from
   My bibliography  Save this article

Structural evaluation of institutional bias in China’s urban housing: the case of Guangzhou


  • Guo Chen


Institutional bias is an important topic in social justice and the presence of institutional bias is widely recognized in China’s urban housing sector. This paper proposes a new framework for measuring and assessing institutional bias in China’s urban housing system based on structural equation modeling and the Pratt index of relative importance for linear regression. The proposed framework analyzes the structural pathways through which nonmarket institutional forces affect housing, and provides quantitative measures to evaluate both the direct and the indirect effects of biased institutions on housing outcomes. A case study of Guangzhou is presented to demonstrate the proposed ideas and methods using first-hand household survey data collected in 2009. The results of the case study show the dominance of institutional effects over market effects on housing outcomes through direct and indirect pathways. The results also show that, although institutional forces affect most subjective and objective measures of housing outcomes, they induce the largest effects on homeownership attainment and physical housing conditions. This suggests that, at this stage, property ownership and material housing well-being are two potential central areas of China’s housing justice. Keywords: institutional bias, social justice, urban housing, China

Suggested Citation

  • Guo Chen, 2012. "Structural evaluation of institutional bias in China’s urban housing: the case of Guangzhou," Environment and Planning A, Pion Ltd, London, vol. 44(12), pages 2867-2882, December.
  • Handle: RePEc:pio:envira:v:44:y:2012:i:12:p:2867-2882

    Download full text from publisher

    File URL:
    File Function: abstract
    Download Restriction: Fulltext access restricted to subscribers, see for details

    File URL:
    File Function: main text
    Download Restriction: Fulltext access restricted to subscribers, see for details

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item


    Access and download statistics


    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:pio:envira:v:44:y:2012:i:12:p:2867-2882. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.