IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v56y2016icp109-121.html
   My bibliography  Save this article

Policy failure or success? Detecting market failure in China's housing market

Author

Listed:
  • Chen, W.D.

Abstract

Due to a high vacancy rate of residential homes, housing prices remain sticky in most urban areas of China, which causes higher searching and bargaining costs. With an inefficient outcome, deadweight loss and market failure arises. To assess the Chinese government's housing policies in 2010, we develop a dynamic equilibrium model, in which we demonstrate how the sticky price results in market failure. We apply a multiple-factor panel data model to show that a high degree of market failure is associated with a high ratio of persistent components in the gap between price and equilibrium. As the persistent components will cause the market's instability, we can use the ratio between persistent and mean reverting components as an indicator to supervise the status of the housing market.

Suggested Citation

  • Chen, W.D., 2016. "Policy failure or success? Detecting market failure in China's housing market," Economic Modelling, Elsevier, vol. 56(C), pages 109-121.
    • Handle: RePEc:eee:ecmode:v:56:y:2016:i:c:p:109-121
    DOI: 10.1016/j.econmod.2016.03.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026499931630075X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2016.03.024?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. Zeng, Jhih-Hong & Peng, Chi-Lu & Chen, Ming-Chi & Lee, Chien-Chiang, 2013. "Wealth effects on the housing markets: Do market liquidity and market states matter?," Economic Modelling, Elsevier, vol. 32(C), pages 488-495.
    2. Zhang, Yanbing & Hua, Xiuping & Zhao, Liang, 2012. "Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010," Economic Modelling, Elsevier, vol. 29(6), pages 2349-2361.
    3. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    4. Zhang, Chuanchuan, 2015. "Income inequality and access to housing: Evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 261-271.
    5. Wen‐Den Chen, 2006. "An approximate likelihood function for panel data with a mixed ARMA(p, q) remainder disturbance model," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(6), pages 911-921, November.
    6. Barros, Carlos Pestana & Gil-Alana, Luis A. & Chen, Zhongfei, 2014. "The housing market in Beijing and delays in sales: A fractional polynomial survival model," Economic Modelling, Elsevier, vol. 42(C), pages 296-300.
    7. Joshua Gallin, 2006. "The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(3), pages 417-438, September.
    8. j. Albert Cao & Ramin Keivani, 2014. "The Limits and Potentials of the Housing Market Enabling Paradigm: An Evaluation of China's Housing Policies from 1998 to 2011," Housing Studies, Taylor & Francis Journals, vol. 29(1), pages 44-68, January.
    9. Kenny, Geoff, 1999. "Modelling the demand and supply sides of the housing market: evidence from Ireland1," Economic Modelling, Elsevier, vol. 16(3), pages 389-409, August.
    10. Zhang, Dingsheng & Cheng, Wenli & Ng, Yew-Kwang, 2013. "Increasing returns, land use controls and housing prices in China," Economic Modelling, Elsevier, vol. 31(C), pages 789-795.
    11. Tsai, I-Chun, 2013. "The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity," Economic Modelling, Elsevier, vol. 31(C), pages 405-413.
    12. Kang, Hsin-Hong & Liu, Shu-Bing, 2014. "The impact of the 2008 financial crisis on housing prices in China and Taiwan: A quantile regression analysis," Economic Modelling, Elsevier, vol. 42(C), pages 356-362.
    13. Ge He, 2013. "Equilibrium-Oriented Housing Supply: A Case Study of Chengdu City, China," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(4), pages 557-568, June.
    14. 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.
    15. Selcuk, Cemil, 2013. "Motivated sellers and predation in the housing market," Economic Modelling, Elsevier, vol. 32(C), pages 203-214.
    16. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    17. Commons, John R., 1931. "Institutional Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 21, pages 648-657.
    18. Zhou, Zhengyi, 2016. "Overreaction to policy changes in the housing market: Evidence from Shanghai," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 26-41.
    19. Wang, Zhi & Zhang, Qinghua, 2014. "Fundamental factors in the housing markets of China," Journal of Housing Economics, Elsevier, vol. 25(C), pages 53-61.
    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. Chen, W.D., 2018. "Upward wage rigidity and Japan's dispatched worker system," Economic Modelling, Elsevier, vol. 73(C), pages 152-162.
    2. Setia Damayanti & Eka Sudarmaji & Herlan Masrio, 2024. "The Critical Role of Energy Intensity in Decarbonizing ASEAN: Integrating Growth and Emissions Reductions," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 247-259, May.
    3. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    4. Qian, Biyu & Wang, Gang-Jin & Feng, Yusen & Xie, Chi, 2022. "Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions," The North American Journal of Economics and Finance, Elsevier, vol. 60(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. Barros, Carlos Pestana & Gil-Alana, Luis A. & Chen, Zhongfei, 2014. "The housing market in Beijing and delays in sales: A fractional polynomial survival model," Economic Modelling, Elsevier, vol. 42(C), pages 296-300.
    3. Chunping Liu & Zhirong Ou, 2022. "Revisiting the determinants of house prices in China’s megacities: Cross‐sectional heterogeneity, interdependencies and spillovers," Manchester School, University of Manchester, vol. 90(3), pages 255-277, June.
    4. 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.
    5. Li, Yaoyao & Qi, Yuan & Liu, Licheng & Hou, Yuchen & Fu, Shuya & Yao, Jingtao & Zhu, Daolin, 2022. "Effect of increasing the rental housing supply on house prices: Evidence from China’s large and medium-sized cities," Land Use Policy, Elsevier, vol. 123(C).
    6. Li, Victor Jing & Cheng, Andy Wui Wing & Cheong, Tsun Se, 2017. "Home purchase restriction and housing price: A distribution dynamics analysis," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 1-10.
    7. Wanying Lu & Jianfu Shen, 2022. "Urban Leverage and Housing Price in China," JRFM, MDPI, vol. 15(2), pages 1-12, February.
    8. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    9. 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.
    10. Rickman, Dan S. & Wang, Hongbo, 2016. "Regional Housing Supply Elasticity in China 1999-2013: A Spatial Equilibrium Analysis," MPRA Paper 69157, University Library of Munich, Germany.
    11. 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.
    12. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    13. Canofari, Paolo & Marini, Giancarlo & Scaramozzino, Pasquale, 2017. "The importance of being remembered: Prices for cemetery plots in the US," Economic Modelling, Elsevier, vol. 64(C), pages 638-645.
    14. Mao, Guangyu & Shen, Yan, 2019. "Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence," China Economic Review, Elsevier, vol. 53(C), pages 53-64.
    15. Baltagi, Badi H. & Li, Jing, 2015. "Cointegration of matched home purchases and rental price indexes — Evidence from Singapore," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 80-88.
    16. Hui An & Qianmiao Zou & Ying Zhang & Rakesh Gupta, 2019. "Property Prices: How Effective is a Property-Purchasing Limitation Policy for Managing Affordability?," International Real Estate Review, Global Social Science Institute, vol. 22(2), pages 197-229.
    17. I-Chun Tsai & Shu-Hen Chiang, 2018. "Risk Transfer among Housing Markets in Major Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    18. He, Ling-Yun & Wen, Xing-Chun, 2017. "Population growth, interest rate, and housing tax in the transitional China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 305-312.
    19. Ya Gao & Xiuting Li & Jichang Dong, 2019. "Does Housing Policy Sustainability Matter? Evidence from China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    20. Yang Hu & Les Oxley, 2018. "Bubbles in US regional house prices: evidence from house price–income ratios at the State level," Applied Economics, Taylor & Francis Journals, vol. 50(29), pages 3196-3229, June.

    More about this item

    Keywords

    Housing market; Market failure; Transaction cost; Mean reversion; Persistency; Bootstrap method;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:56:y:2016:i:c:p:109-121. 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.
    pFad - Phonifier reborn

    Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

    Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


    Alternative Proxies:

    Alternative Proxy

    pFad Proxy

    pFad v3 Proxy

    pFad v4 Proxy