IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v126y2023ics014098832300381x.html
   My bibliography  Save this article

Energy vulnerability in Mediterranean countries: A latent class analysis approach

Author

Listed:
  • Bardazzi, Rossella
  • Charlier, Dorothée
  • Legendre, Berangère
  • Pazienza, Maria Grazia

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.

Suggested Citation

  • Bardazzi, Rossella & Charlier, Dorothée & Legendre, Berangère & Pazienza, Maria Grazia, 2023. "Energy vulnerability in Mediterranean countries: A latent class analysis approach," Energy Economics, Elsevier, vol. 126(C).
  • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s014098832300381x
    DOI: 10.1016/j.eneco.2023.106883
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832300381X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2023.106883?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brunner, Karl-Michael & Spitzer, Markus & Christanell, Anja, 2012. "Experiencing fuel poverty. Coping strategies of low-income households in Vienna/Austria," Energy Policy, Elsevier, vol. 49(C), pages 53-59.
    2. Dorothée Charlier & Bérangère Legendre & Olivia Ricci, 2021. "Measuring fuel poverty in tropical territories: A latent class model," Post-Print hal-03877034, HAL.
    3. Lowans, Christopher & Furszyfer Del Rio, Dylan & Sovacool, Benjamin K. & Rooney, David & Foley, Aoife M., 2021. "What is the state of the art in energy and transport poverty metrics? A critical and comprehensive review," Energy Economics, Elsevier, vol. 101(C).
    4. Anderson, Will & White, Vicki & Finney, Andrea, 2012. "Coping with low incomes and cold homes," Energy Policy, Elsevier, vol. 49(C), pages 40-52.
    5. Dorothee Charlier and Berangere Legendre, 2019. "A Multidimensional Approach to Measuring Fuel Poverty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    6. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    7. Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
    8. Charlier, Dorothée & Legendre, Bérangère & Ricci, Olivia, 2021. "Measuring fuel poverty in tropical territories: A latent class model," World Development, Elsevier, vol. 140(C).
    9. Bardazzi, Rossella & Pazienza, Maria Grazia, 2017. "Switch off the light, please! Energy use, aging population and consumption habits," Energy Economics, Elsevier, vol. 65(C), pages 161-171.
    10. Audrey Berry, 2018. "Measuring energy poverty: uncovering the multiple dimensions of energy poverty," CIRED Working Papers hal-01896838, HAL.
    11. George E. Halkos & Eleni-Christina Gkampoura, 2021. "Coping with Energy Poverty: Measurements, Drivers, Impacts, and Solutions," Energies, MDPI, vol. 14(10), pages 1-14, May.
    12. Dorothée Charlier & Bérangère Legendre, 2022. "Fuel Poverty and Health: A Shared Agenda for Policy," Revue d'économie politique, Dalloz, vol. 132(2), pages 245-272.
    13. Stefan Bouzarovski, 2014. "Energy poverty in the European Union: landscapes of vulnerability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(3), pages 276-289, May.
    14. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    15. Miniaci, Raffaele & Scarpa, Carlo & Valbonesi, Paola, 2014. "Energy affordability and the benefits system in Italy," Energy Policy, Elsevier, vol. 75(C), pages 289-300.
    16. Healy, John D. & Clinch, J. Peter, 2002. "Fuel poverty, thermal comfort and occupancy: results of a national household-survey in Ireland," Applied Energy, Elsevier, vol. 73(3-4), pages 329-343, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dong, Kangyin & Liu, Yang & Wang, Jianda & Dong, Xiucheng, 2024. "Is the digital economy an effective tool for decreasing energy vulnerability? A global case," Ecological Economics, Elsevier, vol. 216(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    2. Fry, Jane M. & Farrell, Lisa & Temple, Jeromey B., 2022. "Energy poverty and retirement income sources in Australia," Energy Economics, Elsevier, vol. 106(C).
    3. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    4. Karpinska, Lilia & Śmiech, Sławomir, 2020. "Conceptualising housing costs: The hidden face of energy poverty in Poland," Energy Policy, Elsevier, vol. 147(C).
    5. Bezerra, Paula & Cruz, Talita & Mazzone, Antonella & Lucena, André F.P. & De Cian, Enrica & Schaeffer, Roberto, 2022. "The multidimensionality of energy poverty in Brazil: A historical analysis," Energy Policy, Elsevier, vol. 171(C).
    6. Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
    7. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
    8. Maciej Lis & Katarzyna Salach & Konstancja Swiecicka, 2016. "Heterogeneity of the fuel poor in Poland – quantification and policy implications," IBS Working Papers 08/2016, Instytut Badan Strukturalnych.
    9. Chiara Grazini, 2023. "La poverta' energetica come privazione delle capacita' (Energy poverty as capabilities deprivation)," Moneta e Credito, Economia civile, vol. 76(301), pages 3-25.
    10. Wang, Yao & Lin, Boqiang, 2022. "Can energy poverty be alleviated by targeting the low income? Constructing a multidimensional energy poverty index in China," Applied Energy, Elsevier, vol. 321(C).
    11. Eva Llera-Sastresa & Sabina Scarpellini & Pilar Rivera-Torres & Juan Aranda & Ignacio Zabalza-Bribián & Alfonso Aranda-Usón, 2017. "Energy Vulnerability Composite Index in Social Housing, from a Household Energy Poverty Perspective," Sustainability, MDPI, vol. 9(5), pages 1-20, April.
    12. Dorothée Charlier, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Post-Print hal-03894155, HAL.
    13. Chiara Certomà & Filippo Corsini & Marina Di Giacomo & Marco Guerrazzi, 2023. "Beyond Income and Inequality: The Role of Socio-political Factors for Alleviating Energy Poverty in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 167-208, September.
    14. Bouzarovski, Stefan & Simcock, Neil, 2017. "Spatializing energy justice," Energy Policy, Elsevier, vol. 107(C), pages 640-648.
    15. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    16. Caitlin Robinson & Stefan Bouzarovski & Sarah Lindley, 2018. "Underrepresenting neighbourhood vulnerabilities? The measurement of fuel poverty in England," Environment and Planning A, , vol. 50(5), pages 1109-1127, August.
    17. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    18. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2023. "Addressing Multidimensional Energy Poverty Implications on Achieving Sustainable Development," Energies, MDPI, vol. 16(9), pages 1-30, April.
    19. Keran Sarah Boyd & Christian Calvillo & Tanja Mueller & Xiaoyi Mu & Tong Zhu, 2023. "The Intersection of Fuel and Transport Policy in Scotland: A Review of Policy, Definitions and Metrics," Energies, MDPI, vol. 16(13), pages 1-14, June.
    20. Barbara Kryk & Malgorzata K. Guzowska, 2023. "Assessing the Level of Energy Poverty Using a Synthetic Multidimensional Energy Poverty Index in EU Countries," Energies, MDPI, vol. 16(3), pages 1-31, January.

    More about this item

    Keywords

    Energy poverty; Energy vulnerability; Latent class analysis; Mediterranean countries;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s014098832300381x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.