IDEAS home Printed from https://ideas.repec.org/a/cvv/journ1/v5y2018i1p1-26.html

What drives housing consumption in China? Based on a dynamic optimal general equilibrium model and spatial panel data analysis

Author

Listed:
  • Zhipeng DU

    (College of Economics & Management, South China Agricultural University, China.)

  • Wei Kun ZHANG

    (College of Economics & Management, South China Agricultural University, China.)

  • Yiming HE

    (National School of Agricultural Institution & Development, South China Agricultural University. Division of Resource Management, West Virginia University, U.S.A.)

Abstract

This paper examines the housing sales in China from 2004 to 2015 utilizing an optimal dynamic general equilibrium theoretical framework combined with a macroeconomic model. The spatial panel econometric empirical results suggest that housing prices and economic growth have increased housing sales in China. However, since house is considered as a special commodity in China, and unemployment show negative impacts on housing sales.

Suggested Citation

  • Zhipeng DU & Wei Kun ZHANG & Yiming HE, 2018. "What drives housing consumption in China? Based on a dynamic optimal general equilibrium model and spatial panel data analysis," Journal of Economics and Political Economy, EconSciences Journals, vol. 5(1), pages 1-26, March.
    • Handle: RePEc:cvv:journ1:v:5:y:2018:i:1:p:1-26
    as

    Download full text from publisher

    File URL: http://journals.econsciences.com/index.php/JEPE/article/download/1557/1551
    Download Restriction: no
    File URL: http://journals.econsciences.com/index.php/JEPE/article/view/1557
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aoki, Kosuke & Proudman, James & Vlieghe, Gertjan, 2004. "House prices, consumption, and monetary policy: a financial accelerator approach," Journal of Financial Intermediation, Elsevier, vol. 13(4), pages 414-435, October.
    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. Vitek, Francis, 2006. "Measuring the Stance of Monetary Policy in a Small Open Economy: A Dynamic Stochastic General Equilibrium Approach," MPRA Paper 802, University Library of Munich, Germany.
    2. Punzi, Maria Teresa & Kauko, Karlo, 2015. "Testing the global banking glut hypothesis," Journal of Financial Stability, Elsevier, vol. 19(C), pages 128-151.
    3. Declan French & Donal McKillop & Tripti Sharma, 2017. "Analysis of Housing Equity Withdrawal by its Forms," CHaRMS Working Papers 17-04, Centre for HeAlth Research at the Management School (CHaRMS).
    4. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    5. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    6. Koetter, Michael & Noth, Felix & Wöbbeking, Carl Fabian, 2025. "European Real Estate Index (EREI) 2025," IWH Technical Reports 1/2025, Halle Institute for Economic Research (IWH).
    7. Chiara Forlati & Luisa Lambertini, 2011. "Risky Mortgages in a DSGE Model," International Journal of Central Banking, International Journal of Central Banking, vol. 7(1), pages 285-335, March.
    8. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    9. David Paul Gray, 2023. "Power Laws and Inequalities: The Case of British District House Price Dispersion," Risks, MDPI, vol. 11(7), pages 1-15, July.
    10. Janine Aron & John Muellbauer, 2006. "Housing Wealth, Credit Conditions and Consumption," CSAE Working Paper Series 2006-08, Centre for the Study of African Economies, University of Oxford.
    11. International Monetary Fund, 2011. "Kingdom of Netherlands: Netherlands: Selected Issues and Analytical Notes," IMF Staff Country Reports 2011/143, International Monetary Fund.
    12. Javier Gómez Pineda, 2004. "A Framework for Macroeconomic Stability in Emerging Market Economies," Borradores de Economia 320, Banco de la Republica de Colombia.
    13. Kevin D. Salyer & Gabriel S. Lee & Victor Dorofeenko, 2010. "Risk Shocks and Housing Markets," 2010 Meeting Papers 451, Society for Economic Dynamics.
    14. Nobili, Andrea & Zollino, Francesco, 2017. "A structural model for the housing and credit market in Italy," Journal of Housing Economics, Elsevier, vol. 36(C), pages 73-87.
    15. Oriol Aspachs-Bracons & Pau Rabanal, 2010. "The drivers of housing cycles in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 101-130, March.
    16. repec:nbb:reswpp:201606-306 is not listed on IDEAS
    17. Jan R. Kim & Keunsuk Chung, 2016. "House prices and business cycles: The case of the UK," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 19(2), pages 131-146, June.
    18. Hyun Jeong Kim & Jong Chil Son & Myung-Soo Yie, 2017. "House Price Dynamics with Household Debt: The Korean Case-super-," Asian Economic Journal, East Asian Economic Association, vol. 31(1), pages 39-59, March.
    19. Mr. Michael Kumhof & Mr. Jaromir Benes, 2012. "The Chicago Plan Revisited," IMF Working Papers 2012/202, International Monetary Fund.
    20. Evren Ceritoglu, 2017. "The effect of house price changes on cohort consumption in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 17(3), pages 99-110.
    21. Clark, Gregory & Cummins, Neil, 2010. "Malthus to Modernity: England’s First Fertility Transition, 1760-1800," MPRA Paper 25465, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General

    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:cvv:journ1:v:5:y:2018:i:1:p:1-26. 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: Bilal KARGI (email available below). General contact details of provider: https://journals.econsciences.com/index.php/JEPE .

    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.