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Spatial Econometric Analysis of Multi-family Housing Prices in Turin: The Heterogeneity of Preferences for Energy Efficiency

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Computational Science and Its Applications – ICCSA 2022 Workshops (ICCSA 2022)

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Abstract

The positive impact of energy efficiency on property prices has been amply demonstrated in Europe by a large number of studies. However, much research has not considered the spatial nature of the data or has limited itself to considering it through fixed variables within econometric models based on hedonic price theory. To fill this gap in the literature, this study presents the spatial analyses by Geographically Weighted Regression (GWR) models of the Energy Performance Certificate (EPC) in Turin (Italy) using a dataset of apartments sales ads located in multi-family buildings. A number of models were created to study the interaction between energy class and age-related characteristics. The results indicate that the impact of EPC differs spatially and according to the age of construction of the buildings. The results are useful in the formulation of energy policies at the local scale, considering the location within the urban context, and the technological characteristics of the buildings according to the age of construction.

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Authors and Affiliations

  1. Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Mattioli 39, 10125, Turin, Italy

    Federico Dell’Anna

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  1. Federico Dell’Anna
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Correspondence to Federico Dell’Anna .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Østfold University College, Halden, Norway

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  5. University of Cagliari, Cagliari, Italy

    Chiara Garau

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Dell’Anna, F. (2022). Spatial Econometric Analysis of Multi-family Housing Prices in Turin: The Heterogeneity of Preferences for Energy Efficiency. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13380. Springer, Cham. https://doi.org/10.1007/978-3-031-10542-5_15

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  • DOI: https://doi.org/10.1007/978-3-031-10542-5_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-10541-8

  • Online ISBN: 978-3-031-10542-5

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