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 previously 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 populations. So, the equity of a less wealthy population witnesses the largest brown discount.

Spatial implications of EPC rankings over residential prices / Marmolejo-Duarte, C.; Chen, A.; Bravi, M. (GREEN ENERGY AND TECHNOLOGY). - In: Green Energy and TechnologySTAMPA. - [s.l] : Springer Verlag, 2020. - ISBN 978-3-030-23784-4. - pp. 51-71 [10.1007/978-3-030-23786-8_4]

Spatial implications of EPC rankings over residential prices

Bravi M.
2020

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 previously 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 populations. So, the equity of a less wealthy population witnesses the largest brown discount.
2020
978-3-030-23784-4
978-3-030-23786-8
Green Energy and Technology
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2759993
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