Heterogeneity in Spatial Correlation and Influential Factors on Property Prices of Submarkets Categorized by Urban Dwelling Spaces
Publication: Journal of Urban Planning and Development
Volume 142, Issue 1
Abstract
The relationship between housing characteristics and residential property price is complex to illustrate. To have a better understanding of the housing-price structure, structural or spatial submarkets have been introduced in previous studies. However, there is no consensus on the importance of neighborhood effect among them. With regard to this issue, this study specifically focuses on the differences in structural, geographical, and demographical effects between housing submarkets (as categorized by dwelling space). Market subdivisions are relative to consumer behaviors. The heterogeneity of spatial effects in different submarkets gives an explanation as to why the impact of nonneighborhood housing factors in those submarket models is similar, regardless of whether the neighborhood effect is included or not. It also indicates that only some, but not all, of the potential purchasers would make decisions with reference to transaction records of flats in the surrounding areas, only when the flat they want to buy is within a specific range in size. Other critical characteristics such as building age, dwelling space, location choice, and commuting time (to central business district) show remarkably different effects on housing price in those submarkets. Segmentation of housing market by dwelling space (and the average price per square feet is higher when the flats are larger) helps to obtain a better understanding of the importance of dwelling space in housing valuations and in urban housing planning.
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Acknowledgments
The authors wish to express appreciation to the anonymous reviewers for their valuable comments on this paper. This study was funded by the Hong Kong Polytechnic University’s Internal Grants (G-U755, G-YK32, and 4-ZZC1).
References
Adair, A. S., Berry, J., and McGreal, W. S. (1996). “Hedonic modeling, housing submarkets, and residential valuation.” J. Prop. Res., 13(1), 67–83.
Anselin, L. (1988). Spatial econometrics: Methods and models, Kluwer Academic Publishers, Dordrecht, Netherlands.
Anselin, L. (2006). “Spatial econometrics.” Palgrave handbook of econometrics, T. C. Mills and K. Patterson, eds., Palgrave Macmillan, New York, 901–969.
Bailey, M. J., Muth, R. F., and Nourse, H. O. (1963). “A regression method for real estate price index construction.” J. Am. Stat. Assoc., 58(304), 933–942.
Bajic, V. (1985). “Housing-market segmentation and demand for housing attribute: Some empirical findings.” Real Estate Econ., 13(1), 58–75.
Census and Statistics Department. (2013). “Hong Kong annual digest of statistics.” 〈http://www.statistics.gov.hk/pub/B10100032013AN13B0100.pdf〉 (Nov. 27, 2014).
Chau, K. W., Wong, S. K., and Leung, H. F. (2005). “Real estate price indices in Hong Kong.” J. Real Estate Lit., 13(3), 337–356.
Chin, H., and Foong, K. (2006). “Influence of school accessibility on housing values.” J. Urban Plann. Dev., 120–129.
Downes, T. A., and Zabel, J. E. (2002). “The impact of school characteristics on house prices: Chicago 1987–1991.” J. Urban Econ., 52(1), 1–25.
Dubin, R., Pace, R. K., and Thibodeau, T. G. (1999). “Spatial autoregression techniques for real estate data.” J. Real Estate Lit., 7(1), 79–96.
Dubin, R. A. (1988). “Estimation of regression coefficients in the presence of spatially autocorrelated error terms.” Rev. Econ. Stat., 70(3), 466–474.
Fauria, A., and Mathur, S. (2012). “Impact of targeted redevelopment of central business district on housing prices in the surrounding neighborhoods: Evidence from Oakland, California.” J. Urban Plann. Dev., 244–253.
Galster, G. C. (1987). Homeowners and neighborhood reinvestment, Duke University Press, Durham, NC.
Gaubert, P., Ibbou, S., and Tutin, C. (1996). “Segmented real estate markets and price mechanisms: The case of Paris.” Int. J. Urban Reg. Res., 20(2), 270–298.
Geweke, J. (1993). “Bayesian treatment of the independent student-t linear model.” J. Appl. Econometr., 8(S1), S19–S40.
Gibbons, S., and Machin, S. (2003). “Valuing English primary schools.” J. Urban Econ., 53(2), 197–219.
Goodman, A. C., and Dubin, R. A. (1998). “Non-nested tests and sample stratification: Theory and a hedonic example.” Rev. Econ. Stat., 72(1), 168–173.
Hayes, K. J., and Taylor, L. L. (1996). “Neighborhood school characteristics: What signals quality to homebuyers?” Econ. Financ. Policy Rev., QIV, 2–9.
Hui, E. C. M., Chau, C. K., Lilian, P., and Law, M. Y. (2007a). “Measuring the neighboring and environmental effects on residential property value: Using spatial weighting matrix.” Build. Environ., 42(6), 2333–2343.
Hui, E. C. M., Yiu, Y., and Yau, Y. (2007b). “Retail properties in Hong Kong: A rental analysis.” J. Prop. Invest. Finance, 25(2), 136–146.
Hui, E. C. M., Zhong, J. W., and Yu, K. H. (2012). “The impact of landscape views and storey levels on property prices.” Landscape Urban Plann., 105(1/2), 86–93.
Jim, C. Y., and Chen, W. Y. (2009). “Value of scenic views: Hedonic assessment of private housing in Hong Kong.” Landscape Urban Plann., 91(4), 226–234.
Kelejian, H. H., and Prucha, I. R. (1998). “A generalized spatial two stage least squares procedure for estimating a spatial autoregressive model with auto regressive disturbances.” J. Real Estate Finance Econ., 17(1), 99–121.
LeSage, J. P. (1999). Spatial econometrics, Regional Research Institute, West Virginia Univ., Morgantown, WV.
LeSage, J. P., and Pace, R. K. (2009). Introduction to spatial econometrics, Taylor & Francis, Boca Raton, FL.
Manski, C. F. (1993). “Identification of endogenous social effects: The reflection problem.” Rev. Econ. Stud., 60(3), 531–542.
Mathur, S. (2008). “Impact of transportation and other jurisdictional-level infrastructure and services on housing prices.” J. Urban Plann. Dev., 32–41.
Michaels, R., and Smith, V. K. (1990). “Market segmentation and valuing amenities with hedonic models: The case of hazardous waste sites.” J. Urban Econ., 28(2), 223–242.
Mok, H. M. K., Chan, P. P. K., and Cho, Y. S. (1995). “A hedonic price model for private properties in Hong Kong.” J. Real Estate Finance Econ., 10(1), 37–48.
Pace, R. K., Barry, R., and Sirmans, C. F. (1998). “Spatial statistics and real estate.” J. Real Estate Finance Econ., 17(1), 5–13.
Pace, R. K., and Barry, R. P. (1997). “Quick computation of spatial autoregressive estimators.” Geogr. Anal., 29(3), 232–247.
Palm, R. (1978). “Spatial segmentation of the urban housing market.” Econ. Geogr., 54(3), 210–221.
Paul, E. J. (2010). “Applied spatial econometrics: Raising the bar.” Spat. Econ. Anal., 5(1), 9–28.
Richard, L. F., and Marshall, M. A. F. (1988). “Housing in U.S. Fordism.” Int. J. Urban Reg. Res., 12(2), 187–210.
Ridker, R. G., and Henning, J. A. (1967). “The determinants of residential property values with special reference to air pollution.” Rev. Econ. Stat., 49(2), 246–257.
Schnare, A., and Struyk, R. (1976). “Segmentation in urban housing markets.” J. Urban Econ., 3(2), 146–166.
So, H. M., Tse, R. Y. C., and Ganesan, S. (1997). “Estimating the influence of transport on housing prices: Evidence from Hong Kong.” J. Prop. Valuat. Invest., 15(1), 40–47.
Spivack, R. (1991). “The determinants of housing maintenance and upkeep: A case study of Providence, Rhode Island.” Appl. Econ., 23(4), 639–646.
Stahl, K. O. (1974). “Market failures and the allocation of resources in cities.” Ph.D. dissertation, Univ. of California, Berkeley, CA.
Steven, C. B., Cantoni, E., and Hoesli, M. (2007). “Spatial dependence, housing submarkets, and house price prediction.” J. Real Estate Finance Econ., 35(2), 143–160.
Strange, W. (1992). “Overlapping neighborhoods and housing externalities.” J. Urban Econ., 32(1), 17–39.
Straszheim, M. R. (1975). An econometric analysis of the urban housing market, National Bureau of Economic Research, New York.
Tam, C. M., Tso, T. Y. N., and Lam, K. C. (1999). “Feng Shui and its impacts on land and property developments.” J. Urban Plann. Dev., 152–163.
Tse, R. Y. C., and Love, P. E. D. (2000). “Measuring residential property values in Hong Kong.” Prop. Manage., 18(5), 366–374.
Tu, Y., Sun, H., and Yu, S. M. (2007). “Spatial autocorrelations and urban housing market segmentation.” J. Real Estate Finance Econ., 34(3), 385–406.
Watkins, C. A. (2001). “The definition and identification of housing submarkets.” Environ. Plan. A, 33(12), 2235–2253.
William, N. G., and Matthew, S. (1997). “A spatial model of housing returns and neighborhood substitutability.” J. Real Estate Finance Econ., 14(1/2), 11–31.
Wu, J., Wang, M., Li, W., Peng, J., and Huang, L. (2014). “Impact of urban green space on residential housing prices: Case study in Shenzhen.” J. Urban Plann. Dev., 05014023.
Yannis, M. L. (2002). “Residential neighborhood effects.” Reg. Sci. Urban Econ., 32(2), 145–165.
Yannis, M. L. (2003). “Interactive property valuations.” J. Urban Econ., 53(1), 145–170.
Zhang, L., and Hui, E. C. M. (2013). “Structural change in housing submarkets in burgeoning real estate market: A case of Hangzhou, China.” Habitat Int., 39, 214–223.
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Published In
Journal of Urban Planning and Development
Volume 142 • Issue 1 • March 2016
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Mar 7, 2014
Accepted: Nov 12, 2014
Published online: Dec 19, 2014
Discussion open until: May 19, 2015
Published in print: Mar 1, 2016
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