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Spatial analysis of residential land prices in Belgium: accessibility, linguistic border, and environmental amenities

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  • GOFETTE-NAGOT, Florence
  • REGINSTER, Isabelle
  • THOMAS, Isabelle

Abstract

This paper explores the spatial variation of land prices in Belgium. The originality of the methodology is threefold : (1) to work at the spatial extent of an entire country, (2) to compute several accessibility measures to all jobs and several representations of the environmental amenities and, more importantly, (3) to test the hypothesis that jobs influence land prices only in the same linguistic region. Spatial autocorrelation is accounted for by estimating spatial models. The results show that the linguistic border acts as a strong barrier in the spatial pattern of land prices and that environmental variables have no significant effect at this scale of spatial analysis.
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Suggested Citation

  • GOFETTE-NAGOT, Florence & REGINSTER, Isabelle & THOMAS, Isabelle, 2011. "Spatial analysis of residential land prices in Belgium: accessibility, linguistic border, and environmental amenities," LIDAM Reprints CORE 2448, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2448
    DOI: 10.1080/00343404.2010.484417
    Note: In : Regional Studies, 45(9), 1253-1268, 2011
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    References listed on IDEAS

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    1. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
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    Cited by:

    1. Bala, Alain Pholo & Peeters, Dominique & Thomas, Isabelle, 2014. "Spatial issues on a hedonic estimation of rents in Brussels," Journal of Housing Economics, Elsevier, vol. 25(C), pages 104-123.
    2. Nathalie Picard & Constantinos Antoniou, 2014. "Econometric Methods For Land Use Microsimulation," Working Papers hal-01092031, HAL.
    3. Can Li & Yu Meng & Yingkui Li & Jingfeng Ge & Chaoran Zhao, 2019. "Inter-Metropolitan Land-Price Characteristics and Patterns in the Beijing-Tianjin-Hebei Urban Agglomeration in China," Sustainability, MDPI, vol. 11(17), pages 1-29, August.
    4. Adam, Arnaud & Finance, Olivier & Thomas, Isabelle, 2021. "Monitoring trucks to reveal Belgian geographical structures and dynamics: From GPS traces to spatial interactions," Journal of Transport Geography, Elsevier, vol. 91(C).
    5. Nathalie Picard & Constantinos Antoniou, 2011. "Econometric guidance for developing UrbanSim models. First lessons from the SustainCity project," ERSA conference papers ersa11p1494, European Regional Science Association.
    6. Lin, Jen-Jia & Cheng, Yu-Chun, 2016. "Access to jobs and apartment rents," Journal of Transport Geography, Elsevier, vol. 55(C), pages 121-128.
    7. Roel Helgers & Erik Buyst, 2016. "Spatial and Temporal Diffusion of Housing Prices in the Presence of a Linguistic Border: Evidence from Belgium," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 92-122, March.
    8. Roberta Capello & Andrea Caragliu & Ugo Fratesi, 2018. "Breaking Down the Border: Physical, Institutional and Cultural Obstacles," Economic Geography, Taylor & Francis Journals, vol. 94(5), pages 485-513, October.
    9. Jean Cavailhés & Isabelle Thomas, 2011. "The influence of urban sprawl on farmland prices in Belgium (refereed paper)," ERSA conference papers ersa10p1628, European Regional Science Association.
    10. Elizelle Juaneé Cilliers, 2019. "Reflecting on Green Infrastructure and Spatial Planning in Africa: The Complexities, Perceptions, and Way Forward," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    11. Nathan Lachapelle & Francesco Pascucci, 2021. "Wage Rigidities in a Quantitative Spatial Economy: Commuting and Local Unemployment," LIDAM Discussion Papers IRES 2021027, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    12. Tomal Mateusz, 2019. "The Impact of Macro Factors on Apartment Prices in Polish Counties: A Two-Stage Quantile Spatial Regression Approach," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 1-14, December.

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    More about this item

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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