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Identifying double energy vulnerability: A systematic and narrative review of groups at-risk of energy and transport poverty in the global north

期刊

ENERGY RESEARCH & SOCIAL SCIENCE
卷 82, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.erss.2021.102351

关键词

Energy vulnerability; Fuel poverty; Energy poverty; Transport poverty; Systematic review; Narrative review

资金

  1. UK Research and Innovation through the Centre for Research into Energy Demand Solutions [EP/R035288/1]

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The concept of 'double energy vulnerability' refers to the heightened risk of energy poverty and transport poverty simultaneously. This paper reviews academic literature to identify socio-demographic and spatial factors that contribute to this vulnerability. Findings show that certain groups such as low-income individuals, older people, households with dependents, people with health conditions or disabilities, women, and ethnic minorities are more vulnerable, while urban areas are more at risk for energy poverty and suburban areas for transport poverty, with rural areas showing the greatest vulnerability overlap.
The concept of 'double energy vulnerability' describes a circumstance whereby people are at heightened risk of energy poverty and transport poverty simultaneously - a particularly severe form of energy injustice. However, analysis of which people and places are most likely to experience this phenomenon remains limited. This paper begins to address this lacuna via a review of academic literature, aiming to pinpoint the overlapping sociodemographic and spatial factors that can increase vulnerability to both energy and transport poverty and thereby identify those most at-risk of experiencing double energy vulnerability. A systematic review of an extensive 5-year sample period is complemented by a narrative review of key papers. Combined, this encompasses a state-of-the-art analysis of 250 papers across 8 different academic databases. We find several overlaps in the socio-demographic groups rendered most vulnerable to energy and transport poverty, including people on low-incomes, older people, households with children or dependents, people with pre-existing health conditions or disabilities, women, and people from ethnic minorities. Spatially, however, there are more differences and contextual variations between the two problems, with inner-urban areas generally posing greater risks for energy poverty and suburban areas for transport poverty. Rural areas appear to be the spatial settings that have the greatest overlap in vulnerability. Overall, our results indicate that the highest level of double energy vulnerability is among households that face a combination of multiple socio-demographic disadvantages alongside relative spatial peripheralisation. We signal future research directions and policy implications arising from these findings.

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