Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
IDEAS home Printed from https://ideas.repec.org/a/fip/fedlrv/99418.html
   My bibliography  Save this article

Was China's Housing Boom a Bubble?

Author

Listed:
  • Carlos Garriga
  • Aaron Hedlund
  • Yang Tang
  • Ping Wang

Abstract

This article investigates the factors influencing nationwide and city-level house price trends in China during the 2000s and early 2010s, considering the country’s significant structural transformation and urbanization. The analysis reveals that "fundamental forces" effectively explain house price appreciation at the national level and in most cities, with Beijing and Shanghai being notable exceptions. Income growth is the primary driver of rising house prices, while population growth also plays a significant role. However, in many cases, the impact of population growth on house prices is mitigated by an accompanying increase in land supply. China’s unique housing market landscape, particularly "hukou" migration restrictions, shapes house price dynamics and the responsiveness of migration to income growth, thereby amplifying the impact on house price appreciation.

Suggested Citation

  • Carlos Garriga & Aaron Hedlund & Yang Tang & Ping Wang, 2024. "Was China's Housing Boom a Bubble?," Review, Federal Reserve Bank of St. Louis, vol. 106(14), pages 1-15, December.
  • Handle: RePEc:fip:fedlrv:99418
    DOI: 10.20955/r.2024.14
    as

    Download full text from publisher

    File URL: https://www.stlouisfed.org/publications/review/2024/dec/was-chinas-housing-boom-a-bubble
    File Function: Landing page
    Download Restriction: no

    File URL: https://www.stlouisfed.org/-/media/project/frbstl/stlouisfed/publications/review/pdfs/2024/dec/was-chinas-housing-boom-a-bubble.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.20955/r.2024.14?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
    ---><---

    References listed on IDEAS

    as
    1. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    2. 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.
    3. Todaro, Michael P, 1969. "A Model for Labor Migration and Urban Unemployment in Less Developed Countries," American Economic Review, American Economic Association, vol. 59(1), pages 138-148, March.
    4. 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.
    5. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2016. "Evaluating the risk of Chinese housing markets: What we know and what we need to know," China Economic Review, Elsevier, vol. 39(C), pages 91-114.
    6. Carlos Garriga & Aaron Hedlund, 2020. "Mortgage Debt, Consumption, and Illiquid Housing Markets in the Great Recession," American Economic Review, American Economic Association, vol. 110(6), pages 1603-1634, June.
    7. Robert E. Lucas, Jr., 2004. "Life Earnings and Rural-Urban Migration," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 29-59, February.
    8. Carlos Garriga & Rodolfo Manuelli & Adrian Peralta-Alva, 2019. "A Macroeconomic Model of Price Swings in the Housing Market," American Economic Review, American Economic Association, vol. 109(6), pages 2036-2072, June.
    9. Jingting Fan, 2019. "Internal Geography, Labor Mobility, and the Distributional Impacts of Trade," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(3), pages 252-288, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Garriga, Carlos & Hedlund, Aaron & Tang, Yang & Wang, Ping, 2021. "Rural-urban migration and house prices in China," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    2. Yongheng Deng & Jing Wu & Yang Tang & ping wang, 2019. "Spatial Misallocation in Chinese Housing and Land Markets," 2019 Meeting Papers 1351, Society for Economic Dynamics.
    3. Fischer, Thomas, 2023. "Spatial inequality and housing in China," Journal of Urban Economics, Elsevier, vol. 134(C).
    4. Carlos Garriga & Aaron Hedlund & Yang Tang & Ping Wang, 2023. "Rural-Urban Migration, Structural Transformation, and Housing Markets in China," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 413-440, April.
    5. Rongsheng Tang & Yang Tang & Rongjie Zhang, 2024. "The Aggregate and Distributional Impacts of Residence Policy Relaxation," The Journal of Real Estate Finance and Economics, Springer, vol. 69(2), pages 343-376, August.
    6. Fang, Min & Huang, Zibin, 2022. "Migration, housing constraints, and inequality: A quantitative analysis of China," Labour Economics, Elsevier, vol. 78(C).
    7. Waxman, Andrew & Liang, Yuanning & Li, Shanjun & Barwick, Panle Jia & Zhao, Meng, 2020. "Tightening belts to buy a home: Consumption responses to rising housing prices in urban China," Journal of Urban Economics, Elsevier, vol. 115(C).
    8. Chen, Jie & Hu, Mingzhi & Lin, Zhenguo, 2019. "Does housing unaffordability crowd out elites in Chinese superstar cities?," Journal of Housing Economics, Elsevier, vol. 45(C), pages 1-1.
    9. Leung, Charles Ka Yui & Ng, Joe Cho Yiu, 2018. "Macro Aspects of Housing," MPRA Paper 93512, University Library of Munich, Germany.
    10. Bhatt, Vipul & Liao, Mouhua & Zhao, Min Qiang, 2023. "Government policy and land price dynamics: A quantitative assessment of China’s factor market reforms," Regional Science and Urban Economics, Elsevier, vol. 98(C).
    11. Roman Sustek, 2022. "A Back-of-the-Envelope Analysis of House Prices: Czech Republic, 2013-2021," CERGE-EI Working Papers wp737, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. Chang Liu & Wei Xiong, 2018. "China's Real Estate Market," NBER Working Papers 25297, National Bureau of Economic Research, Inc.
    13. Jia Pengfei & Lim King Yoong, 2021. "Tax Policy and Toxic Housing Bubbles in China," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 151-183, January.
    14. Shulin Shen & Yiyi Zhao & Jindong Pang, 2024. "Local Housing Market Sentiments and Returns: Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 68(3), pages 488-522, April.
    15. Leung, Charles Ka Yui, 2022. "Housing and Macroeconomics," MPRA Paper 115500, University Library of Munich, Germany.
    16. Guo, Shen & Jiang, Zheng, 2021. "The welfare implications of housing-related tax policies in China," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 135-153.
    17. Song, Zheng (Michael) & Xiong, Wei, 2018. "Risks in China's financial system," BOFIT Discussion Papers 1/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    18. Vipul Bhatt & Mouhua Liao & Min Qiang Zhao, 2019. "Government Policy and Land Price Dynamics: A Quantitative Assessment of China's Factor Market," Working Papers 2019-07-03, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    19. Han, Bing & Han, Lu & Zhou, Zhengyi, 2020. "Housing Market and Entrepreneurship: Micro Evidence from China," MPRA Paper 102597, University Library of Munich, Germany, revised 17 Aug 2020.
    20. Song, Zheng (Michael) & Xiong, Wei, 2018. "Risks in China’s financial system," BOFIT Discussion Papers 1/2018, Bank of Finland, Institute for Economies in Transition.

    More about this item

    Keywords

    China; housing prices; income growth; population growth; land supply;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:fip:fedlrv:99418. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Scott St. Louis (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.html .

    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.