Geographical inequalities in energy poverty in a Mediterranean city: using small-area Bayesian spatial models
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- dc.contributor.author Marí Dell'Olmo, Marc, 1978-
- dc.contributor.author Oliveras Puig, Laura, 1987-
- dc.contributor.author Vergara-Hernández, Carlos
- dc.contributor.author Artazcoz Lazcano, Lucía, 1963-
- dc.contributor.author Borrell i Thió, Carme
- dc.contributor.author Gotsens Miquel, Mercè, 1983-
- dc.contributor.author Palència Fernàndez, Laia, 1980-
- dc.contributor.author López, Maria José
- dc.contributor.author Martinez-Beneito, Miguel-Angel
- dc.date.accessioned 2024-01-08T06:44:08Z
- dc.date.available 2024-01-08T06:44:08Z
- dc.date.issued 2022
- dc.description.abstract Energy poverty (EP) is becoming an increasingly important problem in the urban contexts of southern Europe. In Barcelona, EP indicators are higher than those of the European Union and are strongly associated with poor health status and high use of health services and medication, becoming a major public health problem. EP is unevenly distributed in the population of Barcelona, according to axes of social stratification. However, its geographic distribution at the small-area level remains unknown because it cannot be directly estimated with the available information sources and commonly used methods. Therefore, the aim of this study was to analyze geographical inequalities in EP in Barcelona by estimating reliable small-area EP indicators and a composite indicator (index). We used a novel method that allowed us to obtain 6 EP indicators for the 73 Barcelona neighborhoods and an EP index from a principal component analysis of these indicators. We found major geographical inequalities in the distribution of EP in Barcelona. Many neighborhoods had significantly higher EP than the city average, and these areas made up 3 well-defined spatial clusters. Therefore, the estimated small-area indicators and index allowed identification of the most affected neighborhoods. These results indicate the need to prioritize these areas for local interventions to alleviate EP, and could also be used for policy making.
- dc.format.mimetype application/pdf
- dc.identifier.citation Marí-Dell’Olmo M, Oliveras L, Vergara-Hernández C, Artazcoz L, Borrell C, Gotsens M, Palència L, López MJ, Martinez-Beneito MA. Geographical inequalities in energy poverty in a Mediterranean city: using small-area Bayesian spatial models. Energy Rep. 2022;8:1249-59. DOI: 10.1016/j.egyr.2021.12.025
- dc.identifier.doi http://dx.doi.org/10.1016/j.egyr.2021.12.025
- dc.identifier.issn 2352-4847
- dc.identifier.uri http://hdl.handle.net/10230/58612
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Energy Rep. 2022;8:1249-59
- dc.rights © 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.keyword Energy poverty
- dc.subject.keyword Fuel poverty
- dc.subject.keyword Index
- dc.subject.keyword Geographical inequalities
- dc.subject.keyword Multivariate analysis
- dc.subject.keyword Bayesian model
- dc.subject.keyword Spatial analysis
- dc.subject.keyword Social determinants of health
- dc.title Geographical inequalities in energy poverty in a Mediterranean city: using small-area Bayesian spatial models
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion