Spatial implications of EPC rankings over residential prices
Visualitza/Obre
10.1007/978-3-030-23786-8_4
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/175313
Tipus de documentCapítol de llibre
Data publicació2020-01-01
EditorSpringer Nature
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
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Abstract
Empirical evidence has found a correlation between Energy Performance (EPC) rankings and housing prices. Though, little attention has been devoted to research the spatial implications of EPC marginal prices. This paper attempts to fill this gap using a geographical-weighted-regression, departing from listing prices for Barcelona. The results suggest the existence of a premium equivalent to 1.7% for each EPC ranking, which nearly double the previous reported evidence in this city. Also, the impact shows a non-stationary distribution across urban space. As a matter of fact, the higher the impact, the lower the price of apartments and their quality. The apartments portraying the larger impact are located in peripheral areas inhabited by medium and low-income population. So, the equity of less wealthy population witnesses the largest brown discount.
Descripció
This is an author accepted manuscript of the book chapter: "Spatial Implications of EPC Rankings Over Residential Prices" written by Carlos Marmolejo-Duarte, Ai Chen, Marina Bravi. Included in the book: Mondini, G. et al. [eds]. Values and Functions for Future Cities. Cham, Switzerland: Springer Nature, 2020. ISBN 978-3-030-23786-8. https://doi.org/10.1007/978-3-030-23786-8 . The final authenticated version of the chapter is available online at: https://doi.org/10.1007/978-3-030-23786-8_4
CitacióMarmolejo, C.; Chen, A.; Bravi, M. Spatial implications of EPC rankings over residential prices. A: "Values and functions for future cities". Springer Nature, 2020, p. 51-71.
ISBN978-3-030-23786-8
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Marmolejo2020_Spatial.pdf | 4,803Mb | Visualitza/Obre |