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Investment Demand and Housing Prices in an Emerging Economy

Author

Listed:
  • Ming-Chi Chen

    (National Sun Yat-sen University)

  • Chin-Oh Chang

    (National Chengchi University)

  • Chih-Yuan Yang

    (National Tsing Hua University)

  • Bor-Ming Hsieh

    (Chang Jung Christian University)

Abstract

This paper hypothesizes that the increase in money supply induced by rapid economic growth leads to strong investment demand in the Taiwanese housing market. A threshold model is used to confirm money supply as the key threshold variable. When the growth rate of money supply is below the model's estimated threshold value, household number, income, and user cost of housing capital are significant variables. It appears that service demand and housing supply are essential in creating the linear movement of housing prices. However, when the growth rate of money supply exceeds the threshold value, stock prices and the inflation rate become important. These findings suggest that non-linear movement of housing prices is primarily driven by investment demand.

Suggested Citation

  • Ming-Chi Chen & Chin-Oh Chang & Chih-Yuan Yang & Bor-Ming Hsieh, 2012. "Investment Demand and Housing Prices in an Emerging Economy," Journal of Real Estate Research, American Real Estate Society, vol. 34(3), pages 345-374.
    • Handle: RePEc:jre:issued:v:34:n:3:2012:p:345-374
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    Citations

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    Cited by:

    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. Chun-Kei Tsang & Wing-Keung Wong & Ira Horowitz, 2016. "Arbitrage opportunities, efficiency, and the role of risk preferences in the Hong Kong property market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(4), pages 735-754, October.
    3. Jiangtao Li & Jianyue Ji & Huiwen Guo & Lei Chen, 2018. "Research on the Influence of Real Estate Development on Private Investment: A Case Study of China," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    4. Lewis Vincent & Bruce Morley, 2014. "Assymetric Adjustment and Intervention in the UK Housing Market," Department of Economics Working Papers 29/14, University of Bath, Department of Economics.
    5. Kurmaş Akdoğan, 2019. "Size and sign asymmetries in house price adjustments," Applied Economics, Taylor & Francis Journals, vol. 51(48), pages 5268-5281, October.
    6. Hsiao-Jung Teng & Chin-Oh Chang & Ming-Chi Chen, 2017. "Housing bubble contagion from city centre to suburbs," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1463-1481, May.
    7. Zhang, Meng & Wang, Hong & Wang, Hao & Osmadi, Atasya Binti, 2024. "Digital economy, land resource mismatch, and urban housing costs: Evidence from China's digital governance policy perspective," Resources Policy, Elsevier, vol. 92(C).
    8. Su Han Chan & Ko Wang & Jing Yang, 2011. "A Rational Explanation for Boom-and-Bust Price Patterns in Real Estate Markets," International Real Estate Review, Global Social Science Institute, vol. 14(3), pages 257-282.
    9. Yang, Chih-Yuan & Chang, Chia-Chien, 2024. "Do economic uncertainty and persistence in housing prices matter on mortgage insurance?," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 33-44.
    10. 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.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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