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How Does the Effect Fade over Distance? An Inquiry into the Decay Pattern of Distance Effect on Property Values in the Case of Taipei, Taiwan

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  • Lin-Han Chiang Hsieh

    (Department of Environmental Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan)

Abstract

It is generally accepted that the perception of homeowners towards certain potential risks or amenities fades as distance from the risk or amenity increases. This study aims to illustrate the distance–decay pattern with an appropriate mathematical function. Distance–decay functions and parameters that yield the minimum residual sum of squares (RSS) for a given regression model are considered to be the optimal approximation for the pattern of decay. The effect of flood risk and mass rapid transit (MRT) accessibility on residential housing prices in Taipei, Taiwan, are used as examples to test the optimization process. The results indicate that the type of distance function affects both the significance and the magnitude of the regression coefficients. In the case of Taipei, concave functions provide better fits for both the flood risk and MRT accessibility. RSS reduction is up to 10% compared to the blank. Surprisingly, the impact range for the flood risk is found to be larger than that for MRT accessibility, which suggested that the impact range of perception for uncertain risks is larger than expected.

Suggested Citation

  • Lin-Han Chiang Hsieh, 2021. "How Does the Effect Fade over Distance? An Inquiry into the Decay Pattern of Distance Effect on Property Values in the Case of Taipei, Taiwan," Land, MDPI, vol. 10(11), pages 1-10, November.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:11:p:1238-:d:677694
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    References listed on IDEAS

    as
    1. Chiang Hsieh, Lin-Han, 2021. "Is it the flood, or the disclosure? An inquiry to the impact of flood risk on residential housing prices," Land Use Policy, Elsevier, vol. 106(C).
    2. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    3. David M. Harrison & Greg T. Smersh & Arthur L. Schwartz, Jr, 2001. "Environmental Determinants of Housing Prices: The Impact of Flood Zone Status," Journal of Real Estate Research, American Real Estate Society, vol. 21(1/2), pages 3-20.
    4. Cameron, Trudy Ann, 2006. "Directional heterogeneity in distance profiles in hedonic property value models," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 26-45, January.
    5. Jasper Willigers & Han Floor & Bert van Wee, 2007. "Accessibility Indicators for Location Choices of Offices: An Application to the Intraregional Distributive Effects of High-Speed Rail in the Netherlands," Environment and Planning A, , vol. 39(9), pages 2086-2898, September.
    6. Marije Schaafsma & Roy Brouwer & Alison Gilbert & Jeroen van den Bergh & Alfred Wagtendonk, 2013. "Estimation of Distance-Decay Functions to Account for Substitution and Spatial Heterogeneity in Stated Preference Research," Land Economics, University of Wisconsin Press, vol. 89(3), pages 514-537.
    7. Joris Pinkse & Margaret E. Slade, 2010. "The Future Of Spatial Econometrics," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 103-117, February.
    8. Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2007. "The Impact of Railway Stations on Residential and Commercial Property Value: A Meta-analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 161-180, August.
    9. Robert Armstrong & Daniel Rodríguez, 2006. "An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts using Spatial Hedonic Price Functions," Transportation, Springer, vol. 33(1), pages 21-43, January.
    10. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    11. Martínez, L. Miguel & Viegas, José Manuel, 2013. "A new approach to modelling distance-decay functions for accessibility assessment in transport studies," Journal of Transport Geography, Elsevier, vol. 26(C), pages 87-96.
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