2023
DOI: 10.18235/0004702
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Pobreza energética en los hogares y su relación con otras vulnerabilidades en América Latina: el caso de Argentina, Brasil, Colombia, Perú y Uruguay

Abstract: El acceso a los servicios energéticos es fundamental para la satisfacción de las necesidades básicas de las personas y, por lo tanto, es considerado un importante indicador de desigualdades socioeconómicas. Dada la relevancia del tema desde el punto de vista del desarrollo humano y de las políticas públicas, este estudio se propuso analizar la pobreza energética en cinco países de América Latina Argentina, Brasil, Colombia, Perú y Uruguay, con la finalidad de aportar una nueva perspectiva a los indicadores de … Show more

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Cited by 3 publications
(2 citation statements)
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“…Considering Latin American countries, Schirmer Soares et al [20] analyzed energy poverty in five countries-Argentina, Brazil, Colombia, Peru, and Uruguay. The study examined access to the following energy services: lighting, refrigeration, water heating, food cooking, thermal comfort, and entertainment.…”
Section: Energy Poverty In Rural Areas: An Overviewmentioning
confidence: 99%
“…Considering Latin American countries, Schirmer Soares et al [20] analyzed energy poverty in five countries-Argentina, Brazil, Colombia, Peru, and Uruguay. The study examined access to the following energy services: lighting, refrigeration, water heating, food cooking, thermal comfort, and entertainment.…”
Section: Energy Poverty In Rural Areas: An Overviewmentioning
confidence: 99%
“…Therefore, the socio-economic status of each household plays a central role in shaping these energy consumption patterns, as higher incomes often lead to increased energy access and use [2,[16][17][18][19][20][21]. However, a comprehensive understanding of rural household energy behavior requires a more holistic approach considering various social variables, including housing construction characteristics and the use of electrical and electronic appliances [1,2,[16][17][18][19][22][23][24][25][26][27][28]. Furthermore, it is crucial to highlight that, in order to deal with this complexity, simple approaches that allow these variables to be effectively grouped are needed.…”
Section: Introductionmentioning
confidence: 99%