IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v72y2018icp135-144.html
   My bibliography  Save this article

The elephant in the energy room: Establishing the nexus between housing poverty and fuel poverty

Author

Listed:
  • Burlinson, Andrew
  • Giulietti, Monica
  • Battisti, Giuliana

Abstract

This paper contributes to the literature on fuel poverty by bringing together the “housing-cost-induced-poverty” definition and the “low-income-high-cost” indicator. Relying on the housing-cost-induced-poverty definition, this paper identifies three “dimensions” of fuel poverty: 1) income-poverty-high-cost; 2) housing-cost-induced-poverty-high-cost; and, 3) fuel-cost-induced-poverty-high-cost. After breaking down the underlying structure of the low-income-high-cost framework, this paper proposes an alternative conceptual definition of fuel poverty and puts forward an empirical strategy which can help to identify the households most in need of financial and energy-related support. An application based on energy cost data in England allows us to identify several policy implications following from our proposed approach.

Suggested Citation

  • Burlinson, Andrew & Giulietti, Monica & Battisti, Giuliana, 2018. "The elephant in the energy room: Establishing the nexus between housing poverty and fuel poverty," Energy Economics, Elsevier, vol. 72(C), pages 135-144.
  • Handle: RePEc:eee:eneeco:v:72:y:2018:i:c:p:135-144
    DOI: 10.1016/j.eneco.2018.03.036
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988318301178
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2018.03.036?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. Waddams Price, Catherine & Brazier, Karl & Wang, Wenjia, 2012. "Objective and subjective measures of fuel poverty," Energy Policy, Elsevier, vol. 49(C), pages 33-39.
    2. 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.
    3. Liddell, Christine & Morris, Chris, 2010. "Fuel poverty and human health: A review of recent evidence," Energy Policy, Elsevier, vol. 38(6), pages 2987-2997, June.
    4. Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
    5. Stefan Bouzarovski & Sergio Tirado Herrero, 2017. "Geographies of injustice: the socio-spatial determinants of energy poverty in Poland, the Czech Republic and Hungary," Post-Communist Economies, Taylor & Francis Journals, vol. 29(1), pages 27-50, January.
    6. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    7. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    8. Andrew Leicester & George Stoye, 2013. "People or places? Factors associated with the presence of domestic energy efficiency measures in England," IFS Working Papers W13/14, Institute for Fiscal Studies.
    9. John Hills, 2012. "Getting the measure of fuel poverty: Executive summary," CASE Briefs 31, Centre for Analysis of Social Exclusion, LSE.
    Full references (including those not matched with items on IDEAS)

    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. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    2. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    3. 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.
    4. Belaïd, Fateh, 2018. "Exposure and risk to fuel poverty in France: Examining the extent of the fuel precariousness and its salient determinants," Energy Policy, Elsevier, vol. 114(C), pages 189-200.
    5. 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.
    6. Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
    7. Mara Hammerle & Paul J. Burke, 2022. "Solar PV and energy poverty in Australia's residential sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(4), pages 822-841, October.
    8. Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
    9. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    10. Okushima, Shinichiro, 2016. "Measuring energy poverty in Japan, 2004–2013," Energy Policy, Elsevier, vol. 98(C), pages 557-564.
    11. Heindl, Peter & Löschel, Andreas, 2015. "Social implications of green growth policies from the perspective of energy sector reform and its impact on households," ZEW Discussion Papers 15-012, ZEW - Leibniz Centre for European Economic Research.
    12. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Fuel poverty in the UK: Is there a difference between rural and urban areas?," Energy Policy, Elsevier, vol. 87(C), pages 216-223.
    13. Romero, José Carlos & Linares, Pedro & López, Xiral, 2018. "The policy implications of energy poverty indicators," Energy Policy, Elsevier, vol. 115(C), pages 98-108.
    14. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    15. Marlena Piekut, 2020. "Patterns of Energy Consumption in Polish One-Person Households," Energies, MDPI, vol. 13(21), pages 1-31, October.
    16. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    17. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    18. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    19. Poruschi, Lavinia & Ambrey, Christopher L., 2018. "Densification, what does it mean for fuel poverty and energy justice? An empirical analysis," Energy Policy, Elsevier, vol. 117(C), pages 208-217.
    20. Du, Juntao & Song, Malin & Xie, Bing, 2022. "Eliminating energy poverty in Chinese households: A cognitive capability framework," Renewable Energy, Elsevier, vol. 192(C), pages 373-384.

    More about this item

    Keywords

    Fuel poverty; Housing poverty; Energy efficiency; Multinomial logit;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D1 - Microeconomics - - Household Behavior
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

    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:72:y:2018:i:c:p:135-144. 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.