Measuring fuel poverty in France: Which households are the most fuel vulnerable?

By Bérangère Legendre, O. Ricci. 2015

324 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Pollution, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/ad5dfb872c5f9862381be308e17dbe1276dd5ab3

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In Electrical and Electronic Engineering

In Pollution

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

A multidimensional index to measure energy poverty: the Polish case (2020, unknown): “1 The most commonly applied quantitative measures are: Low Income, High Cost (Heindl 2015; Hills 2012; Imbert, Nogues, and Sevenet 2016; Lewandowski and Sa ł ach 2018), absolute threshold of energy spending in relation to income (e.g., ‘ 10% energy poverty threshold ’ as in Boardman 1991; Legendre a”
‘Getting the measure of fuel poverty’: The geography of fuel poverty indicators in England (2017, unknown): “Although not yet implemented elsewhere, the LIHC indicator has attracted considerable attention within different national contexts [12,7,13,14].”
Objective vs. subjective fuel poverty and self-assessed health (2020, background): “(2014) in Italy, Charlier and Legendre (2016) and Legendre and Ricci (2015) in France, Papada and Kaliampakos (2016) in Greece, or Linares Llamas et al .”
Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data (2021, methodology): “Following the literature (Healy & Clinch, 2004; Boardman, 2010; Legendre & Ricci, 2015) we also include a dummy that equals unity if the dwelling is owner occupied.”
The policy implications of energy poverty indicators (2018, background): “…2009 16,000 9% (Hills, 2011) Austria 2013 931 2.5% (Boltz and Pichler, 2014) Germany 2011 10,193 11.1–15.6% (Heindl, 2015) France 2013 43,000 9.2% (Legendre and Ricci, 2015) England 2014 11,851 10.6% (DECC, 2016) France 2006 50,000 10% (Imbert et al., 2016) Spain 2013 22,057 8.71% (Economics…”
The distributional effects of a carbon tax and its impact on fuel poverty: A microsimulation study in the French context (2019, background): “This phenomenon – called fuel poverty – is gaining momentum in France (Charlier et al., 2016; Legendre and Ricci, 2015), and more broadly in Europe (Derdevet, 2013; Bouzarovski et al.”
Energy poverty indicators: A critical review of methods (2017, background): “those whose fuel poverty gap is the largest).(6) As an aggregate measure, it also offers information about trends in the overall severity of the situation.”