IDEAS home Printed from https://ideas.repec.org/a/ucp/macann/doi10.1086-685953.html
   My bibliography  Save this article

Demystifying the Chinese Housing Boom

Author

Listed:
  • Hanming Fang
  • Quanlin Gu
  • Wei Xiong
  • Li-An Zhou

Abstract

We construct housing price indices for 120 major cities in China in 2003-2013 based on sequential sales of new homes within the same housing developments. By using these indices and detailed information on mortgage borrowers across these cities, we find enormous housing price appreciation during the decade, which was accompanied by equally impressive growth in household income, except in a few first-tier cities. While bottom-income mortgage borrowers endured severe financial burdens by using price-to-income ratios over eight to buy homes, their participation in the housing market remained steady and their mortgage loans were protected by down payments commonly in excess of 35 percent. As such, the housing market is unlikely to trigger an imminent financial crisis in China, even though it may crash with a sudden stop in the Chinese economy and act as an amplifier of the initial shock.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Hanming Fang & Quanlin Gu & Wei Xiong & Li-An Zhou, 2016. "Demystifying the Chinese Housing Boom," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 105-166.
  • Handle: RePEc:ucp:macann:doi:10.1086/685953
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/685953
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/685953
    Download Restriction: Access to the online full text or PDF requires a subscription.

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kaiji Chen & Yi Wen, 2017. "The Great Housing Boom of China," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(2), pages 73-114, April.
    2. Dennis Tao Yang & Junsen Zhang & Shaojie Zhou, 2012. "Why Are Saving Rates So High in China?," NBER Chapters,in: Capitalizing China, pages 249-278 National Bureau of Economic Research, Inc.
    3. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1253-1296.
    4. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
    5. Jing Wu & Yongheng Deng & Hongyu Liu, 2014. "House Price Index Construction in the Nascent Housing Market: The Case of China," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 522-545, April.
    6. Jonathan H. Mark & Michael A. Goldberg, 1984. "Alternative Housing Price Indices: An Evaluation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 12(1), pages 30-49.
    7. Li, Hongbin & Zhou, Li-An, 2005. "Political turnover and economic performance: the incentive role of personnel control in China," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1743-1762, September.
    8. Guo, Xiaoyang & Zheng, Siqi & Geltner, David & Liu, Hongyu, 2014. "A new approach for constructing home price indices: The pseudo repeat sales model and its application in China," Journal of Housing Economics, Elsevier, vol. 25(C), pages 20-38.
    9. Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2012. "Private residential price indices in Singapore: A matching approach," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 485-494.
    10. Fan, Shenggen & Kanbur, Ravi & Wei, Shang-Jin & Zhang, Xiaobo (ed.), 2014. "The Oxford Companion to the Economics of China," OUP Catalogue, Oxford University Press, number 9780199678204.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:ucp:macann:doi:10.1086/685953. 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: (Journals Division). General contact details of provider: http://www.journals.uchicago.edu/MA/ .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.