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Quantifying Household Discomfort Perception: An Application for Spain

Author

Listed:
  • Oihana Aristondo

    (University of the Basque Country UPV/EHU)

  • Olatz Grijalba

    (University of the Basque Country UPV/EHU)

  • Eneritz Onaindia

    (University of the Basque Country UPV/EHU)

  • Silvia Perez-Bezos

    (University of the Basque Country UPV/EHU)

Abstract

The physical structure of the dwelling itself and its immediate surroundings determine its Indoor Environmental Quality (IEQ) and this has a direct impact on the perception of comfort and wellbeing of the people who live there. Analysing the adequacy of housing from a comfort perception perspective makes it possible to better design renovation strategies for buildings. The aim of this paper is to define a multidimensional index based on multiple comfort variables to measure household discomfort. The proposed method assigns to each household a level of discomfort according to the comfort variables in which it is affected. Subsequently, these households’ values are aggregated to obtain an overall discomfort value for the society analysed. The evolution of the perception of discomfort from 2008 to 2020, the incidence of each of the variables, and the characteristics of the dwellings with the highest levels of discomfort are studied for Spanish households using the Spanish Survey on Income and Living Conditions. The results highlight a large increase in discomfort in 2020, the year of Covid-19 lockdown in Spain, and reveal that the most affected households are those living in populated areas, in apartments and in rented houses, and that the variable that affects them the most is Acoustic Comfort.

Suggested Citation

  • Oihana Aristondo & Olatz Grijalba & Eneritz Onaindia & Silvia Perez-Bezos, 2024. "Quantifying Household Discomfort Perception: An Application for Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(2), pages 577-612, November.
  • Handle: RePEc:spr:soinre:v:175:y:2024:i:2:d:10.1007_s11205-024-03384-x
    DOI: 10.1007/s11205-024-03384-x
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    References listed on IDEAS

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    1. Miguel Ángel Campano & Samuel Domínguez-Amarillo & Jesica Fernández-Agüera & Juan José Sendra, 2019. "Thermal Perception in Mild Climate: Adaptive Thermal Models for Schools," Sustainability, MDPI, vol. 11(14), pages 1-23, July.
    2. Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "The Measurement of Social Exclusion," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 167-189, Springer.
    3. Aristondo, Oihana & Onaindia, Eneritz, 2018. "Counting energy poverty in Spain between 2004 and 2015," Energy Policy, Elsevier, vol. 113(C), pages 420-429.
    4. Desai, Meghnad & Shah, Anup, 1988. "An Econometric Approach to the Measurement of Poverty," Oxford Economic Papers, Oxford University Press, vol. 40(3), pages 505-522, September.
    5. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    6. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    7. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    8. Francisco Azpitarte & Jose Gallegos & Gaston Yalonetzky, 2020. "On the robustness of multidimensional counting poverty orderings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(3), pages 339-364, September.
    9. Aristondo, Oihana & Onaindia, Eneritz, 2018. "Inequality of energy poverty between groups in Spain," Energy, Elsevier, vol. 153(C), pages 431-442.
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    More about this item

    Keywords

    Habitability; Spain; Households; Indoor environmental quality;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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