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The Impacts in Real Estate of Landscape Values: Evidence from Tuscany (Italy)

Author

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  • Francesco Riccioli

    (Department of Veterinary Science—Rural Economics Section, University of Pisa, 56124 Pisa, Italy)

  • Roberto Fratini

    (Department of Agriculture, Food, Environment and Forestry, University of Florence, 50144 Firenze, Italy)

  • Fabio Boncinelli

    (Department of Agriculture, Food, Environment and Forestry, University of Florence, 50144 Firenze, Italy)

Abstract

Using spatial econometric techniques and local spatial statistics, this study explores the relationships between the real estate values in Tuscany with the individual perception of satisfaction by landscape types. The analysis includes the usual territorial variables such as proximity to urban centres and roads. The landscape values are measured through a sample of respondents who expressed their aesthetic-visual perceptions of different types of land use. Results from a multivariate local Geary highlight that house prices are not spatial independent and that between the variables included in the analysis there is mainly a positive correlation. Specifically, the findings demonstrate a significant spatial dependence in real estate prices. The aesthetic values influence the real estate price throughout more a spatial indirect effect rather than the direct effect. Practically, house prices in specific areas are more influenced by aspects such as proximity to essential services. The results seem to show to live close to highly aesthetic environments not in these environments. The results relating to the distance from the main roads, however, seem counterintuitive. This result probably depends on the evidence that these areas suffer from greater traffic jam or pollution or they are preferred for alternative uses such as for locating industrial plants or big shopping centres rather than residential use. Therefore, these effects decrease house prices.

Suggested Citation

  • Francesco Riccioli & Roberto Fratini & Fabio Boncinelli, 2021. "The Impacts in Real Estate of Landscape Values: Evidence from Tuscany (Italy)," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2236-:d:501996
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    References listed on IDEAS

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    2. Hongjie Bao & Ling Shan & Yufei Wang & Yuehua Jiang & Cheonjae Lee & Xufeng Cui, 2021. "How Does Local Real Estate Investment Influence Neighborhood PM 2.5 Concentrations? A Spatial Econometric Analysis," Land, MDPI, vol. 10(5), pages 1-21, May.
    3. Giulia Guerri & Alfonso Crisci & Irene Cresci & Luca Congedo & Michele Munafò & Marco Morabito, 2022. "Residential Buildings’ Real Estate Values Linked to Summer Surface Thermal Anomaly Patterns and Urban Features: A Florence (Italy) Case Study," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    4. Hanli Chen & Yu Zhang & Ningxin Zhang & Man Zhou & Heping Ding, 2022. "Analysis on the Spatial Effect of Infrastructure Development on the Real Estate Price in the Yangtze River Delta," Sustainability, MDPI, vol. 14(13), pages 1-22, June.

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