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Energy Retrofitting for the Modern Heritage Enhancement in Weak Real Estate Markets: The Olivetti Housing Stock in Ivrea

Author

Listed:
  • Alice Barreca

    (Architecture and Design Department, Politecnico di Torino, 10125 Turin, Italy)

  • Rocco Curto

    (Architecture and Design Department, Politecnico di Torino, 10125 Turin, Italy)

  • Giorgia Malavasi

    (Architecture and Design Department, Politecnico di Torino, 10125 Turin, Italy)

  • Diana Rolando

    (Architecture and Design Department, Politecnico di Torino, 10125 Turin, Italy)

Abstract

The enhancement of Modern Heritage buildings is nowadays a challenging issue as they are often degraded or abandoned and their historical value is not well acknowledged by potential buyers and their owners. Moreover, they are usually energy inefficient and obsolete, but investments for energy retrofit interventions are not always convenient, especially in socio-economic contexts characterized by weak real-estate market dynamics. This paper aims to study the influence of intrinsic and extrinsic characteristics on housing prices and, in particular, to understand whether elements of building cultural connotations or some housing green features are monetized by the real estate market. The UNESCO site “Ivrea, industrial city of the 20th century”, located in the weak real-estate context of the Eporediese territorial area, was selected as an emblematic case study and two data samples of property listings were built to perform spatial regression analyses. The results showed that the green features of housing, such as the heating type and the EPC level, have a greater influence on property prices than those characteristics related to the cultural connotations of a building, such as the Olivettian context. Therefore, the current incentive-based policies for energy efficiency can represent great opportunities that can be exploited both to preserve and to improve the condition of this valuable Modern Heritage.

Suggested Citation

  • Alice Barreca & Rocco Curto & Giorgia Malavasi & Diana Rolando, 2022. "Energy Retrofitting for the Modern Heritage Enhancement in Weak Real Estate Markets: The Olivetti Housing Stock in Ivrea," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3507-:d:772794
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    References listed on IDEAS

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    1. Elena Fregonara & Roberto Giordano & Diana Rolando & Jean-Marc Tulliani, 2016. "Integrating Environmental and Economic Sustainability in New Building Construction and Retrofits," Journal of Urban Technology, Taylor & Francis Journals, vol. 23(4), pages 3-28, October.
    2. Leonello Tronti, 2014. "L'idea di cultura in Adriano Olivetti. Valore e attualità di un'esperienza intellettuale e imprenditoriale," Economia & lavoro, Carocci editore, issue 2, pages 171-190.
    3. Federico Dell’Anna & Marina Bravi & Carlos Marmolejo-Duarte & Marta Carla Bottero & Ai Chen, 2019. "EPC Green Premium in Two Different European Climate Zones: A Comparative Study between Barcelona and Turin," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    4. Baltagi, Badi H. & Heun Song, Seuck & Cheol Jung, Byoung & Koh, Won, 2007. "Testing for serial correlation, spatial autocorrelation and random effects using panel data," Journal of Econometrics, Elsevier, vol. 140(1), pages 5-51, September.
    5. Juan Antonio Samper & Amanda Schockling & Mine Islar, 2021. "Climate Politics in Green Deals: Exposing the Political Frontiers of the European Green Deal," Politics and Governance, Cogitatio Press, vol. 9(2), pages 8-16.
    6. Rita Yi Man Li & Ka Yi Cheng & Muhammad Shoaib, 2018. "Walled Buildings, Sustainability, and Housing Prices: An Artificial Neural Network Approach," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    7. Luc Anselin & Daniel A. Griffith, 1988. "Do Spatial Effecfs Really Matter In Regression Analysis?," Papers in Regional Science, Wiley Blackwell, vol. 65(1), pages 11-34, January.
    8. Tris Kee & Kwong Wing Chau, 2020. "Adaptive reuse of heritage architecture and its external effects on sustainable built environment—Hedonic pricing model and case studies in Hong Kong," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1597-1608, November.
    9. Michael McCord & Daniel Lo & Peadar Thomas Davis & Lesley Hemphill & John McCord & Martin Haran, 2020. "A spatial analysis of EPCs in The Belfast Metropolitan Area housing market," Journal of Property Research, Taylor & Francis Journals, vol. 37(1), pages 25-61, January.
    10. Alice Barreca & Elena Fregonara & Diana Rolando, 2021. "EPC Labels and Building Features: Spatial Implications over Housing Prices," Sustainability, MDPI, vol. 13(5), pages 1-21, March.
    11. Mastini, Riccardo & Kallis, Giorgos & Hickel, Jason, 2021. "A Green New Deal without growth?," Ecological Economics, Elsevier, vol. 179(C).
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