IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v108y2022ics0264999322000104.html
   My bibliography  Save this article

Six types of government policies and housing prices in China

Author

Listed:
  • Hu, Zhining

Abstract

This paper investigates six different types of government policies that are frequently used to stabilize the Chinese housing market. Particularly, it identifies which type of government policy has a greater influence on the dynamics of housing prices in China. For these purposes, we develop a dynamic stochastic general equilibrium model, including special aspects of the Chinese housing market such as land ownership and government policy mechanisms. According to the findings, among all the government policies of interest, land policy plays the most important role in influencing housing prices. Although the monetary policy appears to achieve its desired effect over the short term, its overall impact on housing prices is less significant than that of the land policy. Moreover, fiscal policies, including housing subsidy, housing tax, and government expenditure policies, are far less influential than the land policy, while the role of loan-to-value-based macro-prudential policy is borderline negligible. Collectively, these principal findings, which hold for various robustness checks, highlight the importance of the land policy in the Chinese housing market.

Suggested Citation

  • Hu, Zhining, 2022. "Six types of government policies and housing prices in China," Economic Modelling, Elsevier, vol. 108(C).
  • Handle: RePEc:eee:ecmode:v:108:y:2022:i:c:s0264999322000104
    DOI: 10.1016/j.econmod.2022.105764
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999322000104
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2022.105764?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.

    References listed on IDEAS

    as
    1. Zhang, Li & Xu, Xianxiang, 2016. "Land Policy and Urbanization in the People’s Republic of China," ADBI Working Papers 614, Asian Development Bank Institute.
    2. Huayi Yu, 2010. "China’s House Price: Affected by Economic Fundamentals or Real Estate Policy?," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 5(1), pages 25-51, March.
    3. Mr. Tigran Poghosyan & Samya Beidas-Strom, 2011. "An Estimated Dynamic Stochastic General Equilibrium Model of the Jordanian Economy," IMF Working Papers 2011/028, International Monetary Fund.
    4. Bian, Timothy Yang & Gete, Pedro, 2015. "What drives housing dynamics in China? A sign restrictions VAR approach," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 96-112.
    5. Zan Yang & Shuping Wu & Yanhao Shen, 2017. "Monetary Policy, House Prices, and Consumption in China: A National and Regional Study," International Real Estate Review, Global Social Science Institute, vol. 20(1), pages 23-49.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    8. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    9. Yongseung Jung & Soyoung Kim & Doo Yong Yang, 2017. "Optimal Macroprudential Policies and House Prices in Korea," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(11), pages 2419-2439, November.
    10. He, Qing & Liu, Fangge & Qian, Zongxin & Tai Leung Chong, Terence, 2017. "Housing prices and business cycle in China: A DSGE analysis," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 246-256.
    11. Wen, Xing-Chun & He, Ling-Yun, 2015. "Housing demand or money supply? A new Keynesian dynamic stochastic general equilibrium model on China’s housing market fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 257-268.
    12. Richard Koss & Xinrui Shi, 2018. "Stabilizing China’s Housing Market," IMF Working Papers 2018/089, International Monetary Fund.
    13. Kaiji Chen & Qing Wang & Tong Xu & Tao Zha, 2020. "Aggregate and Distributional Impacts of LTV Policy: Evidence from China's Micro Data," NBER Working Papers 28092, National Bureau of Economic Research, Inc.
    14. Zhicheng Zhou & Prapatchon Jariyapan, 2013. "The impact of macroeconomic policies to real estate market in People's Republic of China," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(3), pages 75-92, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Deng, Qiu Shi & Alvarado, Rafael & Cheng, Fang Nan & Cuesta, Lizeth & Wang, Chun Bao & Pinzón, Stefania, 2023. "Long-run mechanism for house price regulation in China: Real estate tax, monetary policy or macro-prudential policy?," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 174-186.
    2. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2023. "Time-varying impacts of monetary policy uncertainty on China's housing market," Economic Modelling, Elsevier, vol. 118(C).
    3. Javier Ferri & Francisca Herranz-Baez, 2023. "Building on fiscal policy: government consumption and the residential sector. When helping hurts," Working Papers 2023-01, FEDEA.
    4. Dai, Tiantian & He, Chao & Jiang, Shenyi, 2023. "Talent in the public sector: The role of migration and housing policies," Economic Modelling, Elsevier, vol. 129(C).

    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. Chunping Liu & Zhirong Ou, 2021. "What determines China's housing price dynamics? New evidence from a DSGE‐VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3269-3305, July.
    2. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    3. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    4. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).
    5. Ng, Eric C.Y., 2015. "Housing market dynamics in China: Findings from an estimated DSGE model," Journal of Housing Economics, Elsevier, vol. 29(C), pages 26-40.
    6. Francesco Sergi, 2020. "The Standard Narrative about DSGE Models in Central Banks’ Technical Reports," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(2), pages 163-193, March.
    7. Thomas Drechsel, 2023. "Earnings-Based Borrowing Constraints and Macroeconomic Fluctuations," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 1-34, April.
    8. Mustafa Ozan Yıldırım & Mehmet İvrendi, 2021. "Turkish Housing Market Dynamics: An Estimated DSGE Model," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(2), pages 238-267, May.
    9. Gregor Bäurle & Rolf Scheufele, 2019. "Credit cycles and real activity: the Swiss case," Empirical Economics, Springer, vol. 56(6), pages 1939-1966, June.
    10. Chunping Liu & Zhirong Ou, 2017. "What determines China's housing price dynamics? New evidence from a DSGE-VAR," NBS Discussion Papers in Economics 2017/04, Economics, Nottingham Business School, Nottingham Trent University.
    11. William Gatt & Noel Rapa & Luca Brugnolini, 2020. "MEDSEA-FIN A DSGE model of the Maltese economy with housing and financial frictions," CBM Working Papers WP/04/2020, Central Bank of Malta.
    12. Yin Germaschewski, 2023. "House price volatility in China: Demand versus supply," Economic Inquiry, Western Economic Association International, vol. 61(1), pages 199-220, January.
    13. Storesletten, Kjetil & Zhao, Bo & Zilibotti, Fabrizio, 2020. "Business Cycle during Structural Change: Arthur Lewis’ Theory from a Neoclassical Perspective," CEPR Discussion Papers 14964, C.E.P.R. Discussion Papers.
    14. Albonico, Alice & Tirelli, Patrizio, 2020. "Financial crises and sudden stops: Was the European monetary union crisis different?," Economic Modelling, Elsevier, vol. 93(C), pages 13-26.
    15. Liu, Chunping & Minford, Patrick & Ou, Zhirong, 2022. "Modern Monetary Theory: the post-Crisis economy misunderstood?," Cardiff Economics Working Papers E2022/13, Cardiff University, Cardiff Business School, Economics Section.
    16. Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
    17. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 125-148.
    18. Paolo Angelini & Stefano Neri & Fabio Panetta, 2011. "Monetary and macroprudential policies," Temi di discussione (Economic working papers) 801, Bank of Italy, Economic Research and International Relations Area.
    19. Zhang, Yahong, 2019. "Household debt, financial intermediation, and monetary policy," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 230-257.
    20. Guo, Zi-Yi, 2017. "Information heterogeneity, housing dynamics and the business cycle," EconStor Preprints 168561, ZBW - Leibniz Information Centre for Economics.

    More about this item

    Keywords

    Chinese housing prices; Monetary policy; Macro-prudential policy; Fiscal policy; Land policy; DSGE;
    All these keywords.

    JEL classification:

    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:eee:ecmode:v:108:y:2022:i:c:s0264999322000104. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.