IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2017_349.html
   My bibliography  Save this paper

Determinants of foreign direct investment inflow in real estate sector

Author

Listed:
  • Rita Yi Man Li
  • Beiqi Tang

Abstract

Many of the previous research shows that ups and downs of real estate prices are affected by the foreigners' investments. Some countries such as Australia have implement relevant measures to lower the incentives of foreigners to invest in their housing sector. The objective of this paper is to examine the major determinants of FDI inflow in real estate sector in five countries, i.e. Korea, Japan, Australia, Canada and the UK via Artificial neural networks. It shall investigate the relationship between foreign direct investment inflow in real estate sector, residential property price index, gross domestic product per capita, global house price index growth rate, global housing price index, effective exchange rate, housing price to income index and natural disaster. The results show that there are different determinants in different countries. While global housing price index plays the most important role in foreign direct investment inflow in Korea, Japan and UK, Gross domestic product and house price to income ratio is the most important factor in Canada and Australia respectively.

Suggested Citation

  • Rita Yi Man Li & Beiqi Tang, 2017. "Determinants of foreign direct investment inflow in real estate sector," ERES eres2017_349, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2017_349
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2017-349
    Download Restriction: no

    File URL: https://eres.architexturez.net/system/files/349.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Mehmet Pinar & Thanasis Stengos, 2021. "Democracy in the neighborhood and foreign direct investment," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 449-477, February.
    2. Mariam Camarero & Laura Montolio & Cecilio Tamarit, 2020. "Determinants of FDI for Spanish regions: evidence using stock data," Empirical Economics, Springer, vol. 59(6), pages 2779-2820, December.
    3. Zhang, Hongxia & Kim, Heeho, 2022. "Institutional quality and FDI location: A threshold model," Economic Modelling, Elsevier, vol. 114(C).
    4. Oumarou Issoufou & Maiga Ousseini A., 2019. "A Causal Relationship Between Trade, Foreign Direct Investment and Economic Growth in Niger," Journal of Social and Economic Statistics, Sciendo, vol. 8(2), pages 24-38, December.

    More about this item

    Keywords

    Artificial Neural Network; Foreign Direct Investment Inflow;

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arz:wpaper:eres2017_349. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.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.