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Energy poverty in Madrid: Data exploitation at the city and district level

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  • Sánchez-Guevara Sánchez, Carmen
  • Sanz Fernández, Ana
  • Núñez Peiró, Miguel
  • Gómez Muñoz, Gloria

Abstract

This paper presents the evaluation and quantification of energy poverty in Madrid, at the city and district level. The incidence of energy poverty is assessed by means of the High Share of Energy Expenditure in Income indicator combined with the monetary poverty perspective, enabling to identify different energy-poor household profiles. The study links the city and district statistical levels. The analysis of the different household groups at the city level allows identifying several determining factors linked to energy poverty in Madrid. Based on these determining factors, this research explores district statistics by following an area-based approach and assesses its energy poverty distribution. The High Energy Requirements index is then built on these determining factors to help to pinpoint the urban areas where energy-poor households are more prone to be located. The results show that 22.7% of households are at risk of energy poverty and suggest a need for effectively incorporating households’ income levels and a monetary approach into energy poverty assessments. Finally, based on the two-scale (city and district) analysis conducted, this paper concludes with energy retrofitting policy guidelines, distinguishing between the different levels of funding, and the efficiency measures to be implemented according to each particular energy poverty condition.

Suggested Citation

  • Sánchez-Guevara Sánchez, Carmen & Sanz Fernández, Ana & Núñez Peiró, Miguel & Gómez Muñoz, Gloria, 2020. "Energy poverty in Madrid: Data exploitation at the city and district level," Energy Policy, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:enepol:v:144:y:2020:i:c:s0301421520303840
    DOI: 10.1016/j.enpol.2020.111653
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    References listed on IDEAS

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    1. Fahmy, Eldin & Gordon, David & Patsios, Demi, 2011. "Predicting fuel poverty at a small-area level in England," Energy Policy, Elsevier, vol. 39(7), pages 4370-4377, July.
    2. Walker, Ryan & Liddell, Christine & McKenzie, Paul & Morris, Chris, 2013. "Evaluating fuel poverty policy in Northern Ireland using a geographic approach," Energy Policy, Elsevier, vol. 63(C), pages 765-774.
    3. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    4. Reames, Tony Gerard, 2016. "Targeting energy justice: Exploring spatial, racial/ethnic and socioeconomic disparities in urban residential heating energy efficiency," Energy Policy, Elsevier, vol. 97(C), pages 549-558.
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    Cited by:

    1. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).

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