IDEAS home Printed from https://ideas.repec.org/a/bla/rdevec/v22y2018i2p862-878.html
   My bibliography  Save this article

Is urbanization improving real estate investment? A cross†regional study of China

Author

Listed:
  • Tie†Ying Liu
  • Chi†Wei Su
  • Hsu†Ling Chang
  • Chien†Chi Chu

Abstract

This paper applies bootstrap panel Granger causality to test the relationship between urbanization and real estate investment from 1990 to 2014 for 29 provinces in China. We argue that the patterns of interaction between urbanization and investment in real estate vary across regions. The results show that urbanization does Granger†cause investment in real estate, primarily in the central and northeastern regions of China, while urbanization does not Granger†cause investment in real estate in the eastern and western regions, except for four provinces. Most regions do not have a Granger†causality relationship from real estate investment to urbanization; the exceptions are Henan and Hei Longjiang provinces. Our results only support one theory on the relationship between urbanization and the real estate market for one†third of the provinces. Thus, urbanization can improve real estate investment by increasing the demand for housing as a result of population agglomeration, but urbanization does not depend on real estate investment in China.

Suggested Citation

  • Tie†Ying Liu & Chi†Wei Su & Hsu†Ling Chang & Chien†Chi Chu, 2018. "Is urbanization improving real estate investment? A cross†regional study of China," Review of Development Economics, Wiley Blackwell, vol. 22(2), pages 862-878, May.
  • Handle: RePEc:bla:rdevec:v:22:y:2018:i:2:p:862-878
    DOI: 10.1111/rode.12373
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rode.12373
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rode.12373?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
    ---><---

    Citations

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


    Cited by:

    1. Wang, Haining & Cheng, Zhiming & Smyth, Russell & Sun, Gong & Li, Jie & Wang, Wangshuai, 2022. "University education, homeownership and housing wealth," China Economic Review, Elsevier, vol. 71(C).
    2. Weiwei Li & Lisheng Weng & Kaixu Zhao & Sidong Zhao & Ping Zhang, 2021. "Research on the Evaluation of Real Estate Inventory Management in China," Land, MDPI, vol. 10(12), pages 1-29, November.
    3. Vincenzo Del Giudice & Francesca Salvo & Pierfrancesco De Paola, 2018. "Resampling Techniques for Real Estate Appraisals: Testing the Bootstrap Approach," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    4. Zhen Yang & Jun Lei & Jian-Gang Li, 2019. "Identifying the Determinants of Urbanization in Prefecture-Level Cities in China: A Quantitative Analysis Based on Spatial Production Theory," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
    5. Yingchao Lin & Zhili Ma & Ke Zhao & Weiyan Hu & Jing Wei, 2018. "The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    6. Yu Shen & Wenkai Sun, 2023. "From Villages to Urban Neighborhoods: Urbanization and Health," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(2), pages 137-158, March.
    7. Qingshan Kong & Haiyang Kong & Silin Miao & Qin Zhang & Jiangang Shi, 2022. "Spatial Coupling Coordination Evaluation between Population Growth, Land Use and Housing Supply of Urban Agglomeration in China," Land, MDPI, vol. 11(9), pages 1-18, August.
    8. Sidong Zhao & Kaixu Zhao & Ping Zhang, 2021. "Spatial Inequality in China’s Housing Market and the Driving Mechanism," Land, MDPI, vol. 10(8), pages 1-33, August.
    9. Chun Fu & Can Zhou, 2023. "Examining the Impact of Real Estate Development on Carbon Emissions Using Differential Generalized Method of Moments and Dynamic Panel Threshold Model," Sustainability, MDPI, vol. 15(8), pages 1-16, April.

    More about this item

    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:bla:rdevec:v:22:y:2018:i:2:p:862-878. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1363-6669 .

    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.