IDEAS home Printed from https://ideas.repec.org/a/spr/snbeco/v2y2022i11d10.1007_s43546-022-00351-x.html
   My bibliography  Save this article

Urban housing prices within a core urban agglomeration in China

Author

Listed:
  • Lu Liu

    (Southwestern University of Finance and Economics)

  • Linda Qiu

    (Southwestern University of Finance and Economics)

  • Yuanyuan Yang

    (China Construction Bank Suzhou Branch)

Abstract

To address the imbalanced development in China, this study focuses on housing prices in China's large urban areas, referred to as “agglomerations” which is distinct from the label of “tier 1” versus “tier 2” (and three and four) that is used to categorize cities in China which have been the focus of previous research. It primarily uses a dummy variable approach to analyze whether, in China, housing prices in cities within a core urban agglomeration increase faster than those in a non-core urban agglomeration. This study also makes technical contributions in using altitude and other appropriate instrumental variables to address endogeneity issues, which is useful in studying Chinese cities. Our results show that housing prices are found to grow more rapidly in cities in the Pearl River Delta urban agglomeration, at a statistically significant level, than in other regions studied. Therefore, polarization in the core urban agglomeration is now much severer than we expect. Using housing prices as an indicator, this study reveals a sharpened trend of imbalanced development in Chinese cities. In addition to its empirical findings, this study also discusses some policies that policymakers can make on coordinating economic growth and stabilizing housing prices.

Suggested Citation

  • Lu Liu & Linda Qiu & Yuanyuan Yang, 2022. "Urban housing prices within a core urban agglomeration in China," SN Business & Economics, Springer, vol. 2(11), pages 1-38, November.
  • Handle: RePEc:spr:snbeco:v:2:y:2022:i:11:d:10.1007_s43546-022-00351-x
    DOI: 10.1007/s43546-022-00351-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43546-022-00351-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s43546-022-00351-x?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. Carol Alexander & Michael Barrow, 1994. "Seasonality and Cointegration of Regional House Prices in the UK," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1667-1689, December.
    2. Rangan Gupta & Stephen Miller, 2012. "“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 763-782, June.
    3. Zhenxi Chen & Cuntong Wang, 2020. "Speculative trading in Chinese housing market: a panel regression method," Applied Economics, Taylor & Francis Journals, vol. 52(38), pages 4186-4195, July.
    4. William W. Chow & Michael K. Fung & Arnold C. S. Cheng, 2016. "Convergence and spillover of house prices in Chinese cities," Applied Economics, Taylor & Francis Journals, vol. 48(51), pages 4922-4941, November.
    5. Partridge, Mark D. & Rickman, Dan S. & Ali, Kamar & Olfert, M. Rose, 2009. "Agglomeration spillovers and wage and housing cost gradients across the urban hierarchy," Journal of International Economics, Elsevier, vol. 78(1), pages 126-140, June.
    6. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    7. Qiuyun Wang & Lu Liu, 2022. "Pandemic or panic? A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    8. Del Negro, Marco & Otrok, Christopher, 2007. "99 Luftballons: Monetary policy and the house price boom across U.S. states," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1962-1985, October.
    9. Juan‐Feng Zhang & Dan‐Xia Zhang & Guo‐Chao Zhao & Hui Zeng & Hai‐Zhen Wen, 2019. "Land supply and urbanization strategy in the Yangtze River Delta region, China," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1338-1355, December.
    10. Ryan R. Brady, 2011. "Measuring the diffusion of housing prices across space and over time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 213-231, March.
    11. McDonald, Ronald & Taylor, Mark P, 1993. "Regional House Prices in Britain: Long-Run Relationships and Short-Run Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 40(1), pages 43-55, February.
    12. Gong, Yunlong & Hu, Jinxing & Boelhouwer, Peter J., 2016. "Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 103-117.
    13. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    14. Kanbur, Ravi & Zhang, Xiaobo, 1999. "Which Regional Inequality? The Evolution of Rural-Urban and Inland-Coastal Inequality in China from 1983 to 1995," Journal of Comparative Economics, Elsevier, vol. 27(4), pages 686-701, December.
    15. Rose Neng Lai & Robert A. Van Order, 2020. "A Tale of Two Countries: Comparing the US and Chinese Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 505-547, October.
    16. Liu, Lu & Wang, Qiuyun & Zhang, Anquan, 2019. "The impact of housing price on non-housing consumption of the Chinese households: A general equilibrium analysis," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 152-164.
    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. Cheng-Wen Lee & Shu-Hen Chiang & Zhong-Qin Wen, 2023. "Pursuing the Sustainability of Real Estate Market: The Case of Chinese Land Resources Diversification," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    2. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.
    3. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    4. Chien-Fu Chen & Shu-hen Chiang, 2020. "Time-varying spillovers among first-tier housing markets in China," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 844-864, March.
    5. Ling Zhang & He Wang & Yan Song & Haizhen Wen, 2019. "Spatial Spillover of House Prices: An Empirical Study of the Yangtze Delta Urban Agglomeration in China," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    6. Alexey Akimov & Simon Stevenson & James Young, 2015. "Synchronisation and commonalities in metropolitan housing market cycles," Urban Studies, Urban Studies Journal Limited, vol. 52(9), pages 1665-1682, July.
    7. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2010. "Unit Roots and Structural Change: An Application to US House-Price Indices," Working papers 2010-04, University of Connecticut, Department of Economics, revised Dec 2010.
    8. Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017. "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 56-64.
    9. Shu-hen Chiang, 2014. "Housing Markets in China and Policy Implications: Comovement or Ripple Effect," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(6), pages 103-120, November.
    10. Rangan Gupta & Christophe André & Luis Gil-Alana, 2015. "Comovement in Euro area housing prices: A fractional cointegration approach," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3123-3143, December.
    11. Carlos P. Barros & Luis A. Gil-Alana, 2013. "The Housing Markets in Spain and Portugal: Evidence of Persistence," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 19-32, November.
    12. Markus Haavio & Heikki Kauppi, 2006. "House price fluctuations and residential sorting," 2006 Meeting Papers 774, Society for Economic Dynamics.
    13. Nicholas Apergis & Beatrice D. Simo-Kengne & Rangan Gupta, 2015. "Convergence In Provincial-Level South African House Prices: Evidence From The Club Convergence And Clustering Procedure," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 27(1), pages 2-17, March.
    14. Francisco Blanco & Victor Martín & Guillermo Vazquez, 2016. "Regional house price convergence in Spain during the housing boom," Urban Studies, Urban Studies Journal Limited, vol. 53(4), pages 775-798, March.
    15. Haavio, Markus & Kauppi, Heikki, 2009. "House price fluctuations and residential sorting," Bank of Finland Research Discussion Papers 14/2009, Bank of Finland.
    16. Dominik Blatt & Kausik Chaudhuri & Hans Manner, 2021. "Spillover in the UK Housing Market," Graz Economics Papers 2021-13, University of Graz, Department of Economics.
    17. Haavio, Markus & Kauppi, Heikki, 2009. "House price fluctuations and residential sorting," Research Discussion Papers 14/2009, Bank of Finland.
    18. Dayong Zhang & Qiang Ji & Wan-Li Zhao & Nicholas J Horsewood, 2021. "Regional housing price dependency in the UK: A dynamic network approach," Urban Studies, Urban Studies Journal Limited, vol. 58(5), pages 1014-1031, April.
    19. repec:zbw:bofrdp:2009_014 is not listed on IDEAS
    20. Nicholas Apergis & James Payne, 2012. "Convergence in U.S. house prices by state: evidence from the club convergence and clustering procedure," Letters in Spatial and Resource Sciences, Springer, vol. 5(2), pages 103-111, July.
    21. Feng Lan & Chengcai Jiao & Guoying Deng & Huili Da, 2021. "Urban agglomeration, housing price, and space–time spillover effect—Empirical evidences based on data from hundreds of cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 898-919, June.

    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:spr:snbeco:v:2:y:2022:i:11:d:10.1007_s43546-022-00351-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.