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Unveiling spatial and temporal patterns of second home dynamics: a Bayesian spatiotemporal analysis for a Mediterranean island

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  • Ling Yuheng
  • Claudio Detotto
  • Dominique Prunetti
  • Alfred Stein

Abstract

The second home is an important issue for a housing market and has effects on local land use. Conventional approaches do not consider second homes varying across space and time. Hence, spatial models, such as the Besag, York and Mollie (BYM) model and its variants, offer a feasible way to model both covariates and spatial, temporal dependence. This model is applied in our study to analyse the second home incidence rate at a county level in Corsica, France, over the period 2006–16. We investigate the spatially referenced covariates and localize ‘hot spots’ of the incidence rate across Corsican counties. Further, the temporally structured component reveals that there was a gradual increase in the incidence rate over the period under study.

Suggested Citation

  • Ling Yuheng & Claudio Detotto & Dominique Prunetti & Alfred Stein, 2022. "Unveiling spatial and temporal patterns of second home dynamics: a Bayesian spatiotemporal analysis for a Mediterranean island," Spatial Economic Analysis, Taylor & Francis Journals, vol. 17(1), pages 10-33, January.
    • Handle: RePEc:taf:specan:v:17:y:2022:i:1:p:10-33
    DOI: 10.1080/17421772.2021.1937687
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    Cited by:

    1. Daniel Brunstein & Georges Casamatta & Sauveur Giannoni, 2023. "Hétérogénéité de l'impact du développement d'Airbnb sur le marché immobilier en Corse," Post-Print hal-04122192, HAL.

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