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Energy vulnerability in Mediterranean countries: A latent class analysis approach

Author

Listed:
  • Rossella Bardazzi

    (UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence)

  • Dorothée Charlier

    (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)

  • Bérangère Legendre

    (IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc)

  • Maria Grazia Pazienza

    (UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence)

Abstract

The need to protect vulnerable consumers is a priority for the European Commission but defining who is energy vulnerable remains difficult. Thus, in this paper, we provide an overview of energy poverty in 2019 for five Mediterranean countries (Greece, Spain, Italy, France and Portugal) using the EU-SILC database. We overcome a methodological difficulty inherent in pan-European research by developing the same tool, LCA (Latent Class Analysis) for characterizing energy poverty in all countries. Then we provide decision support in terms of energy poverty policy, without arbitrarily defining a binary tipping point. Indeed, we identify three groups with different needs: energy sufficient households, energy-poor households and more importantly, we highlight a third group which we refer to as energy vulnerable, who can easily fall below the radar of policy makers because they are not initially defined as precarious.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Rossella Bardazzi & Dorothée Charlier & Bérangère Legendre & Maria Grazia Pazienza, 2023. "Energy vulnerability in Mediterranean countries: A latent class analysis approach," Post-Print hal-05769916, HAL.
  • Handle: RePEc:hal:journl:hal-05769916
    DOI: 10.1016/j.eneco.2023.106883
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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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