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. 2024 Jun 28;10(13):e33807.
doi: 10.1016/j.heliyon.2024.e33807. eCollection 2024 Jul 15.

Assessing the relationship between particulate matter concentration and property values in Spanish cities

Salma El Bied  1 , Lorenzo Ros-McDonnell  1 , Maria Victoria de-la-Fuente-Aragón  1 , Diego Ros-McDonnell  2
Affiliations

Assessing the relationship between particulate matter concentration and property values in Spanish cities

Salma El Bied et al. Heliyon. .

Abstract

In recent years, air pollution has become the leading cause of illness and premature deaths worldwide, with adverse impacts on human health, the environment, and the economy. This empirical study aims to investigate the relationship between air quality and property values with a focus on six Spanish cities. The study utilizes property prices as a variable and particulate matter concentration as an air quality indicator. Key findings indicate a significant correlation between particulate matter and property prices in seaside cities, revealing a discernible relationship. However, in inland cities, the observed correlation is notably weak and nonsignificant, resulting in a negligible association between the two variables. These results highlight the presence of additional characteristics that influence property values beyond air quality, particularly in areas where air quality is already deemed satisfactory. This research contributes valuable insights into the intricate interplay between air quality and property values by providing nuanced perspectives on urban planning and policy formulation.

Keywords: Air quality; Empirical study; Particulate natter concentration; Property values; Urban planning.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Study area map created by the authors using (Qgis 3.16).
Fig. 2
Fig. 2
Annual particulate matter concentration across Spain over five years (Qgis 3.16).
Fig. 3
Fig. 3
Correlation results and scatter plot of the property prices and PM10 concentration in Cartagena city.
Fig. 4
Fig. 4
Correlation results and scatter plot of the property prices and the PM10 concentration in Murcia city.
Fig. 5
Fig. 5
Seaside city results generated by the authors using the Eviews 12 software.
Fig. 6
Fig. 6
Inland city results generated by the authors using the Eviews 12 software.
Figure 7
Figure 7
Correlation and scatter plot result of Almeria city
Figure 8
Figure 8
Correlation and scatter plot result of Valencia city
Figure 9
Figure 9
Correlation and scatter plot result of Cordoba city
Figure 10
Figure 10
Correlation and scatter plot result of Alcora
See this image and copyright information in PMC

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