2019
DOI: 10.1080/15567249.2019.1634162
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Analyzing energy poverty with Fuzzy Cognitive Maps: A step-forward towards a more holistic approach

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Cited by 21 publications
(8 citation statements)
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“…Citizen engagement can help understand how the transition can be "just" (Papada et al 2019), building on recent analyses of the importance of social dialogue to achieve procedural and distributional justice (Gambhir, Green, and Pearson 2018) and gender equality (Sorman et al 2020) in such transitions. The EU Platform on Coal Regions in Transition to support heavily coal-dependent nations assists communication among national, regional and local stakeholders regarding the modernization of these regions' economies; and enables people working in the lignite sector to obtain new skills and become capable of working in a "greener" reality (European Commission 2018).…”
Section: Where Are We Now?mentioning
confidence: 99%
“…Citizen engagement can help understand how the transition can be "just" (Papada et al 2019), building on recent analyses of the importance of social dialogue to achieve procedural and distributional justice (Gambhir, Green, and Pearson 2018) and gender equality (Sorman et al 2020) in such transitions. The EU Platform on Coal Regions in Transition to support heavily coal-dependent nations assists communication among national, regional and local stakeholders regarding the modernization of these regions' economies; and enables people working in the lignite sector to obtain new skills and become capable of working in a "greener" reality (European Commission 2018).…”
Section: Where Are We Now?mentioning
confidence: 99%
“…Some of these are, indicatively, adequate warmth at home [13,14]; adequate meeting of all domestic energy needs [15][16][17]; excessive energy cost, e.g., the 2M indicator [18]; excessive energy cost in relation to household income, e.g., the 10% indicator [19] and the "Stochastic Model of Energy Poverty" (SMEP) indicator [20]; low household income, e.g., the M/2 indicator [18] and the "Minimum Income Standard" (MIS) [21][22][23][24]; poverty combined with high energy cost, e.g., the "Low Income High Cost" (LIHC) indicator [19]; compression of energy needs [25]; qualitative aspects of the problem, i.e., inability to keep home adequately warm, damp/mold problems, arrears on energy bills, e.g., [26][27][28][29][30]; composite indicators, e.g., [31,32] and many others. Apart from targeted-to-indicators approaches, some studies attempt to capture a holistic picture of the problem by integrating micro-and macro-drivers, e.g., [33] and others address the wider notion of energy vulnerability and deprivation, e.g., [34][35][36][37][38][39]. In any case, and whatever the indicator chosen to approach energy poverty, it is generally agreed that the problem mainly arises as a combination of three drivers: low income, high energy cost, and low energy efficiency of the house [40][41][42][43].…”
Section: Introductionmentioning
confidence: 99%
“…Overall, there are several factors involved. Papada et al [4] attempted to give a holistic picture of the EP "system", focusing on Greece, combining the most decisive micro-and macro-drivers and the ways these drivers interact with one another. At a macrolevel, energy poverty is affected by drivers relating to energy requirements and climatic conditions, degree of urbanization, broader socioeconomic characteristics (e.g., sociopolitical system, physical and built environment and local services), and socio-spatial vulnerability variables (e.g., access, flexibility, affordability and needs) [5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%