INTERNAL AND EXTERNAL DETERMINANTS OF HOUSING PRICE BOOM IN HONG KONG

  • Farhad Taghizadeh-Hesary Waseda University
  • Naoyuki Yoshino Keio University
  • Aline Mortha Waseda University, Japan
  • Alvin Chiu King’s College London
  • Niki Naderi Azad University, Iran
Keywords: Housing bubble, Housing prices, Housing market, Monetary policy

Abstract

Hong Kong’s housing market witnessed a dramatic housing price appreciation in recent years, with the price index for private domestic housing units being three times higher than ten years ago. This trend is supported by both internal and external factors, as illustrated in this paper. By developing a theoretical model and an empirical analysis on the key variables influencing housing prices using monthly data from 1999 to 2018, we find that the main drivers of housing price appreciation are from the demand side and include income level, money supply and inflation. The main contribution of this study is the quantification of the role of Mainland China’s macroeconomic factors in housing price booms in Hong Kong. Our study shows that capital inflow from and inflation and recessions in Mainland China contribute to increasing housing prices in Hong Kong because the city’s real estate is seen as a way to preserve asset value. These findings call for the need for control of capital inflow between the two economies as well as for stricter regulations against empty houses in Hong Kong.

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References

Ahuja, A., & Porter, N. (2010). Are House Prices Rising Too Fast in Hong Kong SAR? (WP/10/273). International Monetary Fund. Retrieved from International Monetary Fund: https://www.imf.org/en/Publications/WP/Issues/2016/12/31/Are-House-Prices-Rising-too-Fast-in-Hong Kong-SAR-24403 APEC (2020). StatsAPEC: Bilateral Linkages Database. Asia-Pacific Economic Cooperation.

Bian, T., & Gete, P. (2015). What drives housing dynamics in China? A sign restrictions VAR approach. Journal of Macroeconomics, 46, 94-112. http://search. proquest.com/docview/1752000298/

Census & Statistics Department, Hong Kong, China. (2019a). Prices Overview. Census and Statistics Department. Retrieved from https://www.censtatd.gov.hk/hkstat/sub/so60.jsp

Census & Statistics Department, Hong Kong, China. (2019b). National Income. Census and Statistics Department. Retrieved from https://www.censtatd.gov.hk/hkstat/sub/so250.jsp

Census & Statistics Department, Hong Kong, China. (2019c). Housing and Property. Census and Statistics Department Retrieved from https://www.censtatd.gov.hk/hkstat/sub/sp100.jsp?productCode=B1010003

Census & Statistics Department, Hong Kong, China Census and Statistics Department, Hong Kong, China. (20120). Housing and Property. Census and Statistics Department. Retrieved from https://www.censtatd.gov.hk/hkstat/sub/sp260.jsp?subjectID=260&tableID=048&ID=0&productType=8

Chen, C., & Tien, T. (1997). A New Forecasting Method of Discrete Dynamic System. Applied Mathematics and Computation, 86, 61–84. https://doi.org/10.1016/S0096-3003(96)00173-7

Chen K., H. Long, C. Qin (2020).The Impacts of Capital Deepening on Urban Housing Prices: Empirical Evidence from 285 Prefecture-Level or above Cities in China. Habitat International. 99, 102173. https://doi.org/10.1016/j.habitatint.2020.102173.

Craig, R. S. & Hua, C. (2011). Determinants of Property Prices in Hong Kong SAR: Implications for Policy. (WP/11/277). International Monetary Fund. Retrieved from International Monetary Fund: https://www.imf.org/en/Publications/WP/Issues/2016/12/31/Determinants-of-Property-Prices-in-Hong Kong-SARImplications-for-Policy-25389

Devpura, N., & Narayan, P.K., (2020) Hourly Oil Price Volatility: The Role of COVID-19. Energy Research Letters, 1, 13683. https://doi.org/10.46557/001c.13683

Glindro, E., Szeto, J., & Zhu, H. (2008). Determinants of House Prices in Nine Asia-Pacific Economies. IDEAS Working Paper Series from RePEc. http://search.proquest.com/docview/1697753813/

Government of Hong Kong, China. (2019). Property Market Statistics. Rating and Valuation Department. Retrieved from https://www.rvd.gov.hk/en/property_market_statistics/index.html

Guest, R., & Rohde, N. (2017). The Contribution of Foreign Real Estate Investment to Housing Price Growth in Australian Capital Cities. Abacus, 53, 304–318. https://doi.org/10.1111/abac.12110

Ho, L., & Wong, G. (2008). Nexus Between Housing and the Macroeconomy: the Hong-Kong Case. Pacific Economic Review, 13, 223–239. https://doi.org/10.1111/j.1468-0106.2008.00398.x

Hong Kong Monetary Authority. (2019). Monthly Statistical Bulletin. Hong Kong Monetary Authority. Retrieved from https://apidocs.hkma.gov.hk/documentation/market-data-and-statistics/monthly-statistical-bulletin/

HSBC. (2019). Insights – Analysis and Market Data. The Hongkong and Shanghai Banking Corporation. Retrieved from https://www.hsbc.com.hk/wealth/insights/

Hui, E., & Wang, Z. (2014). Price Anomalies and Effectiveness of Macro Control Policies: Evidence from Chinese Housing Markets. Land Use Policy, 39, 96–109. https://doi.org/10.1016/j.landusepol.2014.04.003

International Monetary Fund. (2019). International Financial Statistics. International Monetary Fund. Retrieved from https://data.imf.org/?sk=4c514d48-b6ba-49ed-8ab9-52b0c1a0179b

Iyke, B. N. (2018), Assessing the Effects of Housing Market Shocks on Output: the Case of South Africa. Studies in Economics and Finance, 35, 287-306. https://doi.org/10.1108/SEF-09-2016-0237

Iyke, B. N. (2020). Economic Policy Uncertainty in Times of COVID-19 Pandemic. Asian Economics Letters, 1. https://doi.org/10.46557/001c.17665

Jiang, P., & Kurozumi, E. (2020). Monitoring Parameter Changes in Models with a Trend. Journal of Statistical Planning and Inference, 207, 288–319. https://doi.org/10.1016/j.jspi.2020.01.004

Justiniano, A., Giorgio E. P., & Tambalotti, A.. (2015). Credit Supply and Housing Boom. The Federal Reserve Bank of New York. https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr709.pdf

Kalra, S., Mihaljek, D., & Duenwald, C. (2000). Property Prices and Speculative Bubbles: Evidence from Hong Kong SAR. . (WP/00/2). International Monetary Fund. Retrieved from International Monetary Fund: https://www.imf.org/en/Publications/WP/Issues/2016/12/30/Property-Prices-and-Speculative-Bubbles-Evidence-From-Hong Kong-SAR-3383

Kang Hao, & Inder, B. (1996). Diagnostic Test for Structural Change in Cointegrated Regression Models. Economics Letters, 50, 179–187. https://doi.org/10.1016/0165-1765(95)00750-4

Lee, K. (2017). Residential Property Price-Stock Price Nexus in Hong Kong: New Evidence from ARDL Bounds Test. International Journal of Housing Markets and Analysis, 10, 204–220. https://doi.org/10.1108/IJHMA-03-2016-0020

Leung, F., Chow, K., & Han, G. (2008). Long-term and Short-term Determinants of Property Prices in Hong Kong. IDEAS Working Paper Series from RePEc. http://search.proquest.com/docview/1698499233/

Narayan, P. K. (2020). Did Bubble Activity Intensify During COVID-19? Asian Economics Letters, 1. https://doi.org/10.46557/001c.17654

Neto, D. (2014). The FMLS-based CUSUM statistic for testing the null of smooth time-varying cointegration in the presence of a structural break. Economics Letters, 125, 208–211. https://doi.org/10.1016/j.econlet.2014.09.009

Organization for Economic Co-operation and Development. (2019a). M3 for China [MABMM301CNQ189S]. Federal Reserve Bank of St. Louis. Retrieved from FRED, Federal Reserve Bank of St. Louis;https://fred.stlouisfed.org/series/MABMM301CNQ189S, March 1st, 2019.

Organization for Economic Co-operation and Development. (2019b). Consumer Price Index: All Items for China [CHNCPIALLMINMEI]. Federal Reserve Bank of St. Louis. Retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CHNCPIALLMINMEI, March 1st, 2019.

Park, J. (1992). Canonical Cointegrating Regressions. Econometrica, 60, 119–143. https://doi.org/10.2307/2951679

Phillips, P., & Hansen, B. (1990). Statistical Inference in Instrumental Variable Regression with I(1) Processes. Review of Economic Studies, 57, 99–125. https://doi.org/10.2307/2297545

Sa, F., & Wieladek, T. (2010). Monetary policy, capital inflows and the housing boom. Bank of England. Quarterly Bulletin, 50, 350. http://search.proquest.com/docview/851792415/

Saikkonen, P. (1992). Estimation and testing of cointegrated systems by an autoregressive approximation. Econometric Theory, 8, 1–27. http://search.proquest.com/docview/37749228/

Sharma, S. S. (2020). A Note on the Asian Market Volatility During the COVID-19 Pandemic. Asian Economics Letters, 1. https://doi.org/10.46557/001c.17661

Stock, J., & Watson, M. (1993). A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems. Econometrica (1986-1998), 61, 783–820. https://doi.org/10.2307/2951763

Su, C., Wang, X., Tao, R., & Chang, H. (2019). Does Money Supply Drive Housing Prices in China? International Review of Economics and Finance, 60, 85–94. https://doi.org/10.1016/j.iref.2018.12.013

Taghizadeh Hesary, F., & Yoshino, N. (2014). Monetary policies and oil price determination: an empirical analysis. OPEC Energy Review, 38, 1–20. https://doi.org/10.1111/opec.12021

Taghizadeh-Hesary, F., & Yoshino, N. (2016). Monetary Policy, Oil Prices and the Real Macroeconomic Variables: An Empirical Survey on China, Japan and the United States. China: An International Journal, 14, 46–69 https://muse.jhu.edu/article/640270

Tsai, I., & Peng, C. (2011). Bubbles in the Taiwan Housing Market: The Determinants and Effects. Habitat International, 35, 379–390. https://doi.org/10.1016/j.habitatint.2010.11.010

Wenger, K., & Leschinski, C. (2019). Fixed-bandwidth CUSUM Tests under long Memory. Econometrics and Statistics. https://doi.org/10.1016/j.ecosta.2019.08.001

Wokker, C., & Swieringa, J. (2016). Foreign Investment and Residential Property Price Growth. IDEAS Working Paper Series from RePEc. http://search.proquest.com/docview/1855448386/

Wong, G. (2008). Has SARS infected the property market? Evidence from Hong Kong. Journal of Urban Economics, 63, 74-95. https://doi.org/10.1016/j.jue.2006.12.007.

Wu, T., Wong, K. and Cheng, M. (2017). Estimating the Drivers of Hong Kong’s Housing Price Short-Run Dynamics. Hong Kong Monetary Authority. Retrieved from the Hong Kong Monetary Authority: https://www.hkma.gov.hk/media/eng/publication-and-research/research/research-memorandums/2017/RM03-2017.pdf

Xiao, Z., & Phillips, P. (2002). A CUSUM Test for Cointegration Using Regression Residuals. Journal of Econometrics, 108, 43–61. https://doi.org/10.1016/S0304-4076(01)00103-8

Yiu, M., & Sahminan, S. (2015). Global Liquidity, Capital Inflows and House Prices in ASEAN Economies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2617193

Yiu, M., Yu, J., & Jin, L. (2013). Detecting Bubbles in Hong Kong Residential Property Market. Journal of Asian Economics, 28. http://search.proquest.com/docview/1444562891/

Yoshino, N., Nakamura, T., & Sakai, Y. (2014). International Comparison of Bubbles and Bubble Indicators. AI & SOCIETY, 29, 427–434. https://doi.org/10.1007/s00146-013-0469-8

Yoshino, N., & Taghizadeh-Hesary, F. (2014). Monetary Policy and Oil Price Fluctuations Following the Subprime Mortgage Crisis. International Journal of Monetary Economics and Finance, 7, 157–174. https://doi.org/10.1504/IJMEF.2014.066482

Yoshino, N., & Taghizadeh-Hesary, F. (2016). Causes and Remedies of the Japan’s Long lasting Recession: Lessons for China. China & World Economy, 24, 23–47. https://doi.org/10.1111/cwe.12149

Yoshino, N., & Taghizadeh-Hesary, F. (2017). Japan’s Lost Decade: Lessons for Asian Economies. Edited by Naoyuki Yoshino, Farhad Taghizadeh-Hesary. (1st ed. 2017.). Springer Tokyo. https://doi.org/10.1007/978-981-10-5021-3

Yoshino, N., Taghizadeh-Hesary, F., & Otsuka, M. (2020). Covid-19 and Optimal Portfolio Selection for Investment in Sustainable Development Goals. Finance Research Letters, 101695. https://doi.org/10.1016/j.frl.2020.101695

Published
2020-12-31
How to Cite
Taghizadeh-Hesary, F., Yoshino, N., Mortha, A., Chiu, A., & Naderi, N. (2020). INTERNAL AND EXTERNAL DETERMINANTS OF HOUSING PRICE BOOM IN HONG KONG. Buletin Ekonomi Moneter Dan Perbankan, 23(4), 597 - 620. https://doi.org/10.21098/bemp.v23i4.1043
Section
Articles