Abstract
The present study is part of a wider research line focused on the analysis of the effects caused by the pandemic of the Coronavirus disease (Covid-19) on the Italian residential property market. The paper aims to propose a methodology for the assessment of the effects of this abnormal event on the housing price mechanisms. The research could be an operational support for the Public Administration and private investors in their decision making processes. In particular, with reference to the city of Rome (Italy), two datasets of residential properties have been collected and processed through an econometric technique, in order to identify the variations occurred in terms of market appreciation for specific housing factors. The outputs highlight changes in market demand concerning a preference for outdoor spaces, both condominiums and private (terraces and balconies) and for properties located in peripheral areas of the city.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Belasen, A.R., Polachek, S.W.: How disasters affect local labor markets: the effects of hurricanes in Florida. J. Human Resour. 44(1), 251–276 (2009)
Del Boca, D., Oggero, N., Profeta, P., Rossi, M.: Women’s and men’s work, housework and childcare, before and during Covid-19. Rev. Econ. Household 18(4), 1001–1017 (2020). https://doi.org/10.1007/s11150-020-09502-1
Del Giudice, V., De Paola, P., Del Giudice P.F.: COVID-19 infects real estate markets: short and mid-run effects on housing prices in Campania region (Italy). In: Social Science, vol. 9, p. 114 (2020)
Della Spina, L., Calabrò, F.: Decision support model for conservation, reuse and valorization of the historic cultural heritage. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10962, pp. 3–17. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95168-3_1
Depalo, D., Giorgi F.: Il lavoro da remoto in Italia durante la pandemia: i lavoratori del settore privato, Banca d’Italia, Note Covid-19, gennaio 2021 (2021). https://www.bancaditalia.it/media/notizia/il-lavoro-da-remoto-in-italia-durante-la-pandemia/. Accessed 15 Mar 2021
Emea Real estate market outlook, CBRE (2021). www.cbre.com/researchandreports. Accessed 15 Mar 2021
Eurostat: Gross domestic product and main components (2021). https://ec.europa.eu/eurostat/databrowser/view/tec00001/default/table?lang=en. Accessed 01 Mar 2021
Fardin, M.A.: Covid-19 and anxiety: a review of psychological impacts of infectious disease outbreaks. In: Archives of Clinical Infectious Diseases, vol. 15, no. Covid-19 (2020)
Giustolisi, O., Savic, D.: Advances in data-driven analyses and modelling using EPR-MOGA. J. Hydroinf. 11(3–4), 225–236 (2009)
Giuzio, W., Rizzica, L.: Il lavoro da remoto in Italia durante la pandemia: le amministrazioni pubbliche. Banca d’Italia, Note Covid-19, gennaio 2021 (2021). https://www.bancaditalia.it/media/notizia/il-lavoro-da-remoto-in-italia-durante-la-pandemia/. Accessed 15 Mar 2021
Inoue, H., Todo, Y.: The propagation of economic impacts through supply chains: the case of a mega-city lockdown to prevent the spread of Covid-19. PLoS ONE 15(9), 1–10 (2020)
Istituto Nazionale di Statistica ISTAT (2021) Gross domestic product and main components. http://dati.istat.it/. Accessed 15 Mar 2021
Li, H.Y., Cao, H., Leung, D.Y.P., Mak, Y.W.: The psychological impacts of a Covid-19 outbreak on college students in China: a longitudinal study. Int. J. Environ. Res. Public Health 17(11), 3933 (2020)
Lynch, A.K., Rasmussen, D.W.: Proximity, neighbourhood and the efficacy of exclusion. Urban Stud. 41(2), 285–298 (2004)
Mattiacci, A., Nocenzi, M., Sfodera, F., Sofia, C.: Le conseguenze sull’attività professionale: tra incertezze e opportunità. In: La Società catastrofica, vita e relazioni sociali ai tempi dell’emergenza Covid-19 a cura di Lombardo, C., Mauceri, S., FrancoAngeli, Milano (2020)
Mingo, I., Panarese, P., Nobile S.: #Io resto a casa: i mutamenti negli stili di vita e nelle relazioni familiari. In: La Società catastrofica, vita e relazioni sociali ai tempi dell’emergenza Covid-19 a cura di Lombardo, C., Mauceri, S., FrancoAngeli, Milano (2020)
Morano, P., Guarini, M.R., Tajani, F., Di Liddo, F., Anelli, D.: Incidence of different types of urban green spaces on property prices. a case study in the Flaminio district of Rome (Italy). In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11622, pp. 23–34. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24305-0_3
Morano, P., Rosato, P., Tajani, F., Di Liddo, F.: An analysis of the energy efficiency impacts on the residential property prices in the City of Bari (Italy). In: Mondini, G., Oppio, A., Stanghellini, S., Bottero, M., Abastante, F. (eds.) Values and Functions for Future Cities. GET, pp. 73–88. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-23786-8_5
National Report on Sharing Mobility (2020). https://temi.camera.it/leg18/post/OCD15-13722/3-rapporto-nazionale-sulla-sharing-mobility.html. Accessed 15 Jan 2021
Osservatorio del Mercato Immobiliare, Agenzia delle entrate (2020). www.agenziaentrate.gov.it. Accessed 15 Mar 2021
Osservatorio Residenziale Tecnocasa (2020). https://news.tecnocasagroup.it/ufficio-studi/osservatorio_residenziale/. Accessed 15 Jan 2021
Rapporto Immobiliare 2020, Il settore Residenziale, Osservatorio del mercato Immobiliare Agenzia delle entrate (2020). https://www.agenziaentrate.gov.it/portale/documents/20143/263076/RI2020_20200521_Residenziale.pdf/40fee96c-49ad-6edb-e36b-1f54ff623b12
Rapporto residenziale IV Trimestre 2020, Osservatorio del mercato Immobiliare Agenzia delle entrate (2021). https://www.agenziaentrate.gov.it/portale/documents/20143/262485/StatisticheOMI_RES_4_2020_20210309.pdf/419be2b6-b6a7-652f-1353-b5ac082b24a1. Accessed 15 Jan 2021
Tajani, F., Morano, P., Torre, C.M., Di Liddo, F.: An analysis of the influence of property tax on housing prices in the Apulia region (Italy). Buildings 7(3), 67 (2017)
Wang, C., et al.: Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (Covid-19) epidemic among the general population in China. Int. J. Environ. Res. Public Health 17(5), 1729 (2020)
World Economic Outlook January 2021, International Monetary Fund. https://www.imf.org/en/Publications/WEO/Issues/2021/01/26/2021-world-economic-outlook-update. Accessed 20 Mar 2021
World Health Organization (2021). https://covid19.who.int/. Accessed 15 Mar 2021
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Tajani, F., Morano, P., Di Liddo, F., Guarini, M.R., Ranieri, R. (2021). The Effects of Covid-19 Pandemic on the Housing Market: A Case Study in Rome (Italy). In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-86979-3_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-86978-6
Online ISBN: 978-3-030-86979-3
eBook Packages: Computer ScienceComputer Science (R0)