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Economic restructuring, urban growth, and short-term trading: The spatial dynamics of the Hong Kong housing market, 1992–2008

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  • Monkkonen, Paavo
  • Wong, Kelvin
  • Begley, Jaclene

Abstract

The response of housing prices to changes in the geography of the economy and population within cities is empirically understudied. This paper examines the spatial dynamics of the Hong Kong housing market between 1992 and 2008, a time period that includes two periods of strong price appreciation and one market crash. Neighborhood housing price indexes are calculated for 96 census-defined areas, and patterns of appreciation during periods of boom and bust are analyzed with spatial autoregressive models. Empirical results show a difference between factors associated with housing price appreciation during the boom of the 1990s and the boom in the 2000s, reflecting changes in Hong Kong's economic and spatial structure at the end of the 20th century. Housing prices in centrally located neighborhoods increased by a much greater share after the city de-industrialized, despite massive investments in the city's transportation infrastructure. A proxy for speculative investment, short-term trading, is not found to be a statistically significant determinant of price changes at the neighborhood level during periods of appreciation.

Suggested Citation

  • Monkkonen, Paavo & Wong, Kelvin & Begley, Jaclene, 2012. "Economic restructuring, urban growth, and short-term trading: The spatial dynamics of the Hong Kong housing market, 1992–2008," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 396-406.
    • Handle: RePEc:eee:regeco:v:42:y:2012:i:3:p:396-406
    DOI: 10.1016/j.regsciurbeco.2011.11.004
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    Cited by:

    1. He, Sylvia Y., 2020. "Regional impact of rail network accessibility on residential property price: Modelling spatial heterogeneous capitalisation effects in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 244-263.
    2. Weida Kuang & Qilin Wang, 2018. "Cultural similarities and housing market linkage: evidence from OECD countries," Frontiers of Business Research in China, Springer, vol. 12(1), pages 1-25, December.
    3. Monkkonen, Paavo & Zhang, Xiaohu, 2014. "Innovative measurement of spatial segregation: Comparative evidence from Hong Kong and San Francisco," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 99-111.
    4. An, Galina & Becker, Charles & Cheng, Enoch, 2021. "Housing price appreciation and economic integration in a transition economy: Evidence from Kazakhstan," Journal of Housing Economics, Elsevier, vol. 52(C).
    5. Massimiliano Ferraresi & Umberto Galmarini & Leonzio Rizzo, 2018. "Infrastructure spillovers and strategic interaction: does the size matter?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(1), pages 240-272, February.
    6. Chang, Zheng, 2018. "Immigration and the Neighborhood: New Evidence from Recent Immigrants in Hong Kong," International Real Estate Review, Global Social Science Institute, vol. 21(4), pages 549-566.

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    More about this item

    Keywords

    Housing markets; Price indexes; Spatial econometrics; China; Hong Kong;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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