IDEAS home Printed from https://ideas.repec.org/a/jfr/afr111/v6y2017i2p163.html
   My bibliography  Save this article

Interactions of Economic Development, Government Intervention and Real Estate Price Based on the Analysis of the Impulse-response Function

Author

Listed:
  • Shengnan Zhao
  • Hong Xu

Abstract

Using the PVAR model, impulse-response function and variance decomposition, this paper analyzes the interaction between Chinese economic development level, government intervention degree and real estate price, based on the inter-provincial panel data from 2000 to 2013 of China. The results show that the economic development level and the marketization degree have a positive impact on housing price, and in the long run, the self-regulation of marketization is the main factor that affecting the housing price; the government intervention can effectively curb the promotion of real estate price, but if the enthusiasm of the government to implement the intervention is not high, the excessive price of the real estate will hinder the Chinese economic development. The Chinese government should accurately grasp the relationship between real estate price and macroeconomic factors, playing a role in the market to promote the healthy and orderly development of the real estate market.Â

Suggested Citation

  • Shengnan Zhao & Hong Xu, 2017. "Interactions of Economic Development, Government Intervention and Real Estate Price Based on the Analysis of the Impulse-response Function," Accounting and Finance Research, Sciedu Press, vol. 6(2), pages 163-163, May.
  • Handle: RePEc:jfr:afr111:v:6:y:2017:i:2:p:163
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/download/11444/7046
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/view/11444
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Norman Miller & Liang Peng, 2006. "Exploring Metropolitan Housing Price Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 33(1), pages 5-18, August.
    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. Michail Karoglou & Bruce Morley & Dennis Thomas, 2013. "Risk and Structural Instability in US House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 424-436, April.
    2. Leung, Charles Ka Yui & Teo, Wing Leong, 2011. "Should the optimal portfolio be region-specific? A multi-region model with monetary policy and asset price co-movements," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 293-304, May.
    3. William Miles, 2011. "Long-Range Dependence in U.S. Home Price Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 329-347, April.
    4. Chow Sheung-Chi & Cunado Juncal & Gupta Rangan & Wong Wing-Keung, 2018. "Causal relationships between economic policy uncertainty and housing market returns in China and India: evidence from linear and nonlinear panel and time series models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(2), pages 1-15, April.
    5. Hong Miao & Sanjay Ramchander & Marc W. Simpson, 2011. "Return and Volatility Transmission in U.S. Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(4), pages 701-741, December.
    6. Angela S. Bergantino & Claudia Capozza & Mauro Capurso, 2018. "Pricing strategies: who leads and who follows in the air and rail passenger markets in Italy," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4937-4953, October.
    7. Jarl G. Kallberg & Crocker H. Liu & Paolo Pasquariello, 2014. "On the Price Comovement of U.S. Residential Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(1), pages 71-108, March.
    8. Prodosh Simlai, 2018. "Spatial Dependence, Idiosyncratic Risk, and the Valuation of Disaggregated Housing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 192-230, August.
    9. Barth, James R. & Benefield, Justin D. & Hollans, Harris, 2015. "Industry Concentration and Regional Housing Market Performance," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(2).
    10. Anupam Nanda, 2005. "Property Condition Disclosure Law: Does 'Seller Tell All' Matter in Property Values?," Working papers 2005-47, University of Connecticut, Department of Economics, revised Jul 2006.
    11. Hiller, Norbert & Lerbs, Oliver W., 2016. "Aging and urban house prices," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 276-291.
    12. Geoff Willcocks, 2009. "UK Housing Market: Time Series Processes with Independent and Identically Distributed Residuals," The Journal of Real Estate Finance and Economics, Springer, vol. 39(4), pages 403-414, November.
    13. Bruce Morley & Dennis Thomas, 2016. "An Empirical Analysis of UK House Price Risk Variation by Property Type," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 45-56, May.
    14. Nicholas Apergis & James E. Payne, 2020. "Modeling the time varying volatility of housing returns: Further evidence from the U.S. metropolitan condominium markets," Review of Financial Economics, John Wiley & Sons, vol. 38(1), pages 24-33, January.
    15. Alain Coën & Alexis Pourcelot & Richard Malle, 2022. "Macroeconomic shocks and ripple effects in the Greater Paris Metropolis," Post-Print hal-03713561, HAL.
    16. An-Pin Wei & Wei-Ling Huang & Chih-Yuan Yang & Ming-Chi Chen, 2013. "The role of market imperfections in the relationship between housing prices and household credit: Evidence from Taiwan," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 27(2), pages 131-143, November.
    17. Schindler, Felix, 2009. "Volatilitätseffekte am US-amerikanischen Häusermarkt," ZEW Discussion Papers 09-048, ZEW - Leibniz Centre for European Economic Research.
    18. Huang, MeiChi, 2018. "Time-varying diversification strategies: The roles of state-level housing assets in optimal portfolios," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 145-172.
    19. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    20. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - 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:jfr:afr111:v:6:y:2017:i:2:p:163. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.