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Are the Effects of Opening New Mass Rapid Transit Segments in Taiwan on Nearby Housing Prices Positive?

Author

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  • Lee Ming-Te
  • Lee Ming-Long
  • Ya-Ting Cheng

Abstract

This study evaluates the effects of opening new segments of mass rapid transit (MRT) lines on housing prices near the MRT stations in Tucheng District and Xinzhuang District, New Taipei City, Taiwan. The effect of proximity to each MRT station is estimated separately with difference-in-differences regressions integrated with spatial econometrics with heteroscedasticity-robust standard errors. The opening of the new segment of the Blue Line, also known as Bannan Line of the Taipei Metro, does not significantly influence housing prices within 600-metre road network distance of the MRT stations, compared to prices outside the distance range. In contrast, and also unlike the findings of prior studies, although the segment and the stations are underground structures, the opening of the new segment of the Orange Line, also known as the Zhonghe-Xinlu Line of the Taipei Metro, significantly decreases housing prices within 600-metre road network distance of the MRT stations, compared to prices outside the distance range, perhaps because the opening of the stations is delayed about one and a half years to be used as a temporary storage area for MRT trains. The findings have implications for homebuyers, investors, mortgage lending institutions and tax assessment authorities.

Suggested Citation

  • Lee Ming-Te & Lee Ming-Long & Ya-Ting Cheng, 2023. "Are the Effects of Opening New Mass Rapid Transit Segments in Taiwan on Nearby Housing Prices Positive?," Prague Economic Papers, Prague University of Economics and Business, vol. 2023(1), pages 84-106.
    • Handle: RePEc:prg:jnlpep:v:2023:y:2023:i:1:id:823:p:84-106
    DOI: 10.18267/j.pep.823
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    References listed on IDEAS

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    1. James P. LeSage & R. Kelley Pace, 2014. "The Biggest Myth in Spatial Econometrics," Econometrics, MDPI, vol. 2(4), pages 1-33, December.
    2. Gibbons, Stephen & Machin, Stephen, 2005. "Valuing rail access using transport innovations," Journal of Urban Economics, Elsevier, vol. 57(1), pages 148-169, January.
    3. Bae, Chang-Hee Christine & Jun, Myung-Jin & Park, Hyeon, 2003. "The impact of Seoul's subway Line 5 on residential property values," Transport Policy, Elsevier, vol. 10(2), pages 85-94, April.
    4. Claudio A. Agostini & Gastón A. Palmucci, 2008. "The Anticipated Capitalisation Effect of a New Metro Line on Housing Prices," Fiscal Studies, Institute for Fiscal Studies, vol. 29(2), pages 233-256, June.
    5. R. Kelley Pace & James P. LeSage, 2004. "Spatial Statistics and Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 147-148, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Hedonic pricing model; housing price; mass rapid transit; public transport; spatial regression;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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