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The Spatially Varying Components of Vulnerability to Energy Poverty

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  • Caitlin Robinson
  • Sarah Lindley
  • Stefan Bouzarovski

Abstract

A household’s vulnerability to energy poverty is socially and spatially variable. Efforts to measure energy poverty, however, have focused on narrow, expenditure-based metrics or area-based targeting. These metrics are not spatial per se, because the relative importance of drivers does not vary between neighborhoods to reflect localized challenges. Despite recent advancements in geographically weighted methodologies that have the potential to yield important information about the sociospatial distribution of vulnerability to energy poverty, the phenomenon has not been approached from this perspective. For a case study of England, global principal component analysis (PCA) and local geographically weighted PCA (GWPCA) are applied to a suite of neighborhood-scale vulnerability indicators. The explicit spatiality of this methodological approach addresses a common criticism of vulnerability assessments. The global PCA reaffirms the importance of well-established vulnerabilities, including older age, disability, and energy efficiency. It also demonstrates striking new evidence of vulnerabilities among precarious and transient households that are less well understood and have become starker during austerity. In contrast, rather than providing a single estimate of propensity to energy poverty for neighborhoods based on a national understanding of what drives the condition, the GWPCA identifies a diverse array of vulnerability factors of greatest importance in different locales. These local results destabilize the geographical configurations of an urban–rural and north–south divide that typify understandings of deprivation in this context. The geographically weighted approach therefore draws attention to vulnerabilities often hidden in policymaking, allowing for reflection on the applicability of spatially constituted methodologies to wider social vulnerability assessments. Key Words: energy poverty, geographically weighted PCA, GIS, spatial analysis, vulnerability.

Suggested Citation

  • Caitlin Robinson & Sarah Lindley & Stefan Bouzarovski, 2019. "The Spatially Varying Components of Vulnerability to Energy Poverty," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(4), pages 1188-1207, July.
  • Handle: RePEc:taf:raagxx:v:109:y:2019:i:4:p:1188-1207
    DOI: 10.1080/24694452.2018.1562872
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    Citations

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    Cited by:

    1. Eleni Sardianou, 2023. "Understanding Energy Poverty among the Elderly: Insights from a Household Survey in Greece," Energies, MDPI, vol. 17(1), pages 1-14, December.
    2. Bedggood, Rowan & Russell-Bennett, Rebekah & McAndrew, Ryan & Glavas, Charmaine & Dulleck, Uwe, 2023. "Challenging the social-power paradigm: Moving beyond consumer empowerment to an energy ecosystem of shared value," Energy Policy, Elsevier, vol. 173(C).
    3. Felipe Encinas & Ricardo Truffello & Carlos Aguirre-Nuñez & Isidro Puig & Francisco Vergara-Perucich & Carmen Freed & Blanca Rodríguez, 2022. "Mapping Energy Poverty: How Much Impact Do Socioeconomic, Urban and Climatic Variables Have at a Territorial Scale?," Land, MDPI, vol. 11(9), pages 1-21, September.
    4. Gainbi Park & Zengwang Xu, 2022. "The constituent components and local indicator variables of social vulnerability index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 95-120, January.
    5. García Alvarez, Guillermo & Tol, Richard S.J., 2021. "The impact of the Bono Social de Electricidad on energy poverty in Spain," Energy Economics, Elsevier, vol. 103(C).
    6. Castaño-Rosa, Raúl & Okushima, Shinichiro, 2021. "Prevalence of energy poverty in Japan: A comprehensive analysis of energy poverty vulnerabilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Okushima, Shinichiro, 2021. "Energy poor need more energy, but do they need more carbon? Evaluation of people's basic carbon needs," Ecological Economics, Elsevier, vol. 187(C).
    8. Min, Yohan & Ko, Inhwan, 2023. "Causal effects of place, people, and process on rooftop solar adoption through Bayesian inference," Energy, Elsevier, vol. 285(C).
    9. Andrea Boeri & Valentina Gianfrate & Saveria Olga Murielle Boulanger & Martina Massari, 2020. "Future Design Approaches for Energy Poverty: Users Profiling and Services for No-Vulnerable Condition," Energies, MDPI, vol. 13(8), pages 1-18, April.
    10. Elena Smirnova & Katarzyna Szczepańska-Woszczyna & Saltanat Yessetova & Vadim Samusenkov & Rodion Rogulin, 2021. "Supplying Energy to Vulnerable Segments of the Population: Macro-Financial Risks and Public Welfare," Energies, MDPI, vol. 14(7), pages 1-18, March.
    11. Moore, David & Webb, Amanda L., 2022. "Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio," Energy Policy, Elsevier, vol. 160(C).
    12. Dušana Dokupilová & Ana Stojilovska & Pedro Palma & João Pedro Gouveia & Eleftheria G. Paschalidou & Roberto Barrella & Marielle Feenstra & Ana Horta & Carmen Sánchez-Guevara & József Kádár & Majda Te, 2024. "Exploring Energy Poverty in Urban and Rural Contexts in the Era of Climate Change: A Comparative Analysis of European Countries and Israel," Energies, MDPI, vol. 17(12), pages 1-24, June.
    13. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    14. Lilia Karpinska & Sławomir Śmiech & João Pedro Gouveia & Pedro Palma, 2021. "Mapping Regional Vulnerability to Energy Poverty in Poland," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    15. Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
    16. Qiu, Hua & Sha, Yezhou & Zhang, Yixing, 2024. "Energy affordability and subjective well-being in China: Causal inference, heterogeneity, and the mediating role of disaster risk," Energy Economics, Elsevier, vol. 129(C).

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