Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models
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 pub...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721014633 |
| _version_ | 1797902110265704448 |
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| author | Marc Marí-Dell’Olmo Laura Oliveras Carlos Vergara-Hernández Lucia Artazcoz Carme Borrell Mercè Gotsens Laia Palència María José López Miguel A. Martinez-Beneito |
| author_facet | Marc Marí-Dell’Olmo Laura Oliveras Carlos Vergara-Hernández Lucia Artazcoz Carme Borrell Mercè Gotsens Laia Palència María José López Miguel A. Martinez-Beneito |
| author_sort | Marc Marí-Dell’Olmo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T09:12:36Z |
| format | Article |
| id | doaj.art-e153cdd4fc4b4e818bab3d343c1a78fd |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:12:36Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-e153cdd4fc4b4e818bab3d343c1a78fd2023-02-21T05:09:49ZengElsevierEnergy Reports2352-48472022-11-01812491259Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial modelsMarc Marí-Dell’Olmo0Laura Oliveras1Carlos Vergara-Hernández2Lucia Artazcoz3Carme Borrell4Mercè Gotsens5Laia Palència6María José López7Miguel A. Martinez-Beneito8Agència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, Catalonia, Spain; Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Sant Quintí 77, 08041, Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Correspondence to: Agència de Salut Pública de Barcelona, Plaça Lesseps 1, 08023 Barcelona, Spain.Agència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, Catalonia, Spain; Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Sant Quintí 77, 08041, Barcelona, Catalonia, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, SpainVaccine Research Unit, FISABIO, Av Cataluña 21, 46020, Valencia, SpainAgència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, Catalonia, Spain; Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Sant Quintí 77, 08041, Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, SpainAgència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, Catalonia, Spain; Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Sant Quintí 77, 08041, Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, SpainAgència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, Catalonia, Spain; Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Sant Quintí 77, 08041, Barcelona, Catalonia, SpainAgència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, Catalonia, Spain; Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Sant Quintí 77, 08041, Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, 28029, Madrid, SpainAgència de Salut Pública de Barcelona, Pl. Lesseps 1, 08023, Barcelona, Catalonia, Spain; Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Sant Quintí 77, 08041, Barcelona, Catalonia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, SpainDepartament d’Estadística i Investigaciò Operativa, Dr. Moliner 50, 46100, Burjassot, Valencia, Spain; Unitat Mixta de recerca en mètodes estadístics per a dades biomédiques i sanitàries, UV-FISABIO, Dr. Moliner 50, 46100 Burjassot, Valencia, SpainEnergy 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.http://www.sciencedirect.com/science/article/pii/S2352484721014633Energy povertyFuel povertyIndexGeographical inequalitiesMultivariate analysisBayesian model |
| spellingShingle | Marc Marí-Dell’Olmo Laura Oliveras Carlos Vergara-Hernández Lucia Artazcoz Carme Borrell Mercè Gotsens Laia Palència María José López Miguel A. Martinez-Beneito Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models Energy Reports Energy poverty Fuel poverty Index Geographical inequalities Multivariate analysis Bayesian model |
| title | Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models |
| title_full | Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models |
| title_fullStr | Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models |
| title_full_unstemmed | Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models |
| title_short | Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models |
| title_sort | geographical inequalities in energy poverty in a mediterranean city using small area bayesian spatial models |
| topic | Energy poverty Fuel poverty Index Geographical inequalities Multivariate analysis Bayesian model |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721014633 |
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