IDEAS home Printed from https://ideas.repec.org/a/spr/apjors/v6y2022i2d10.1007_s41685-021-00221-8.html
   My bibliography  Save this article

Land price polarization and dispersion in Tokyo: a spatial model approach

Author

Listed:
  • Yuta Kanno

    (Tokyo University of Science)

  • Takayuki Shiohama

    (Nanzan University)

Abstract

Intensifying spatial inequality in housing markets is of great concern for urban planners and policymakers. This study employed a year-on-year analysis using universal kriging to fit the official land price data in Tokyo over the period 1997–2021. By comparing estimated regression coefficients with the estimated spatial variogram parameters, we found evidence of rising spatial polarization and dispersion in land prices of Tokyo. This was confirmed via price differences between western and central Tokyo that are becoming larger with each passing year. The determinants of the land price have different impacts on prices in western and central Tokyo. As for the variogram parameter, the nugget effects of the residuals in spatial models are increasing for the non-central region and decreasing in central Tokyo, which indicates that the degree of spatial dispersion is increasing.

Suggested Citation

  • Yuta Kanno & Takayuki Shiohama, 2022. "Land price polarization and dispersion in Tokyo: a spatial model approach," Asia-Pacific Journal of Regional Science, Springer, vol. 6(2), pages 807-835, June.
  • Handle: RePEc:spr:apjors:v:6:y:2022:i:2:d:10.1007_s41685-021-00221-8
    DOI: 10.1007/s41685-021-00221-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41685-021-00221-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41685-021-00221-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gatzlaff, Dean H. & Haurin, Donald R., 1998. "Sample Selection and Biases in Local House Value Indices," Journal of Urban Economics, Elsevier, vol. 43(2), pages 199-222, March.
    2. Jeffrey Fisher & Dean Gatzlaff & David Geltner & Donald Haurin, 2003. "Controlling for the Impact of Variable Liquidity in Commercial Real Estate Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(2), pages 269-303, June.
    3. Goodman, Allen C., 1978. "Hedonic prices, price indices and housing markets," Journal of Urban Economics, Elsevier, vol. 5(4), pages 471-484, October.
    4. Piyush Tiwari, 2000. "Housing Demand in Tokyo," International Real Estate Review, Global Social Science Institute, vol. 3(1), pages 65-92.
    5. Charles Leung & Youngman Leong & Siu Wong, 2006. "Housing Price Dispersion: An Empirical Investigation," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 357-385, May.
    6. Xiao-Ping Zheng, 2007. "Economies of Network, Urban Agglomeration, and Regional Development: A Theoretical Model and Empirical Evidence," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 559-569.
    7. Ruci Wang & Ahmed Derdouri & Yuji Murayama, 2018. "Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    8. Hatta, Tatsuo & Ohkawara, Toru, 1993. "Population, Employment, and Land Price Distributions in the Tokyo Metropolitan Area," The Journal of Real Estate Finance and Economics, Springer, vol. 6(1), pages 103-128, January.
    9. Yumi Saita & Chihiro Shimizu & Tsutomu Watanabe, 2016. "Aging and real estate prices: evidence from Japanese and US regional data," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 9(1), pages 66-87, March.
    10. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    11. Takaaki Ohnishi & Takayuki Mizuno & Tsutomu Watanabe, 2020. "House price dispersion in boom–bust cycles: evidence from Tokyo," The Japanese Economic Review, Springer, vol. 71(4), pages 511-539, October.
    12. Jorge Chica-Olmo & Rafael Cano-Guervos & Mario Chica-Rivas, 2019. "Estimation of Housing Price Variations Using Spatio-Temporal Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    13. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    14. Gregory D Sutton, 2002. "Explaining changes in house prices," BIS Quarterly Review, Bank for International Settlements, September.
    15. Stijn Van Nieuwerburgh & Pierre-Olivier Weill, 2010. "Why Has House Price Dispersion Gone Up?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1567-1606.
    16. Gneiting T., 2002. "Nonseparable, Stationary Covariance Functions for Space-Time Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 590-600, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yiheng Zhu & Shan Yang & Jinping Lin & Shanggang Yin, 2022. "Spatial and Temporal Evolutionary Characteristics and Its Influencing Factors of Economic Spatial Polarization in the Yangtze River Delta Region," IJERPH, MDPI, vol. 19(12), pages 1-20, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liang Peng, 2020. "Benchmarking Local Commercial Real Estate Returns: Statistics Meets Economics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(4), pages 1004-1029, December.
    2. Maury, Tristan-Pierre & Tripier, Fabien, 2014. "Search strategies on the housing market and their implications on price dispersion," Journal of Housing Economics, Elsevier, vol. 26(C), pages 55-80.
    3. Liang Peng, 2012. "Repeat Sales Regression on Heterogeneous Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 804-827, October.
    4. Ansgar Belke & Jonas Keil, 2018. "Fundamental Determinants of Real Estate Prices: A Panel Study of German Regions," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(1), pages 25-45, February.
    5. Dean Gatzlaff & Kathleen McCullough & Lorilee Medders & Charles M. Nyce, 2018. "The Impact of Hurricane Mitigation Features and Inspection Information on House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 57(4), pages 566-591, November.
    6. Tristan-Pierre Maury & Fabien Tripier, 2010. "Strategies for search on the housing market and their implications for price dispersion," Working Papers hal-00480484, HAL.
    7. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    8. Mahdieh Yazdani, 2021. "House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach," Papers 2108.02442, arXiv.org.
    9. Mahdieh Yazdani, 2021. "Machine Learning, Deep Learning, and Hedonic Methods for Real Estate Price Prediction," Papers 2110.07151, arXiv.org.
    10. Damian Przekop, 2022. "Artificial Neural Networks vs Spatial Regression Approach in Property Valuation," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 14(2), pages 199-223, June.
    11. Celia Bilbao-Terol, 2009. "Impacts of an Iron and Steel Plant on Residential Property Values," European Planning Studies, Taylor & Francis Journals, vol. 17(9), pages 1421-1436, September.
    12. Lepinteur, Anthony & Waltl, Sofie R., 2020. "Tracking Owners' Sentiments: Subjective Home Values, Expectations and House Price Dynamics," Department of Economics Working Paper Series 299, WU Vienna University of Economics and Business.
    13. Chunfang Zhao & Yingliang Wu & Yunfeng Chen & Guohua Chen, 2023. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    14. Hammes, Brian D., 1984. "Hedonic prices for farmland characteristics: an analysis of farm transactions prices for Iowa," ISU General Staff Papers 1984010108000017525, Iowa State University, Department of Economics.
    15. Frame, David, 2013. "Saving and consumption in cities," Journal of Urban Economics, Elsevier, vol. 73(1), pages 111-124.
    16. William Goetzmann & Liang Peng, 2003. "Estimating Indices in the Presence of Seller Reservation Prices," Yale School of Management Working Papers ysm352, Yale School of Management, revised 01 May 2003.
    17. Gaetano Lisi, 2013. "Can the Mortensen-Pissarides Model Match the Housing Market Facts?," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(2), pages 78-92.
    18. Wang, Ferdinand T. & Zorn, Peter M., 1997. "Estimating House Price Growth with Repeat Sales Data: What's the Aim of the Game?," Journal of Housing Economics, Elsevier, vol. 6(2), pages 93-118, June.
    19. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
    20. Dubé, Jean & Legros, Diègo & Devaux, Nicolas, 2018. "From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation effect," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 73-87.

    More about this item

    Keywords

    Generalized least squares method; Land price dispersion; Spatial polarization; Spatial variogram; Tokyo land prices;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:apjors:v:6:y:2022:i:2:d:10.1007_s41685-021-00221-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.