IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v147y2020ics0301421520305371.html
   My bibliography  Save this article

Conceptualising housing costs: The hidden face of energy poverty in Poland

Author

Listed:
  • Karpinska, Lilia
  • Śmiech, Sławomir

Abstract

The study proposes an approach to assess a hidden aspect of energy poverty (EP) in Poland. We consider households' energy under-consumption driven by low energy efficiency and budgetary constraints. A household is exposed to hidden energy poverty (HEP) if it's total disposable income after deducting the expected housing cost falls under the established threshold. To approximate the expected total housing expenditures, the data from the EU-SILC dataset on dwellings parameters, households' attributes and regional characteristics of Poland is used.

Suggested Citation

  • Karpinska, Lilia & Śmiech, Sławomir, 2020. "Conceptualising housing costs: The hidden face of energy poverty in Poland," Energy Policy, Elsevier, vol. 147(C).
  • Handle: RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305371
    DOI: 10.1016/j.enpol.2020.111819
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421520305371
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2020.111819?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. Uniejewski, Bartosz & Marcjasz, Grzegorz & Weron, Rafał, 2019. "Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1533-1547.
    2. Julian A. Lampietti & Anke S. Meyer, 2002. "Coping with the Cold : Heating Strategies for Eastern Europe and Central Asia's Urban Poor," World Bank Publications - Books, The World Bank Group, number 15174, December.
    3. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
    4. 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.
    5. 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.
    6. Ziel, Florian & Liu, Bidong, 2016. "Lasso estimation for GEFCom2014 probabilistic electric load forecasting," International Journal of Forecasting, Elsevier, vol. 32(3), pages 1029-1037.
    7. John Hills, 2012. "Final report of the Hills Independent Fuel Poverty Review: Getting the Measure of Fuel Poverty," CASE Reports casereport72, Centre for Analysis of Social Exclusion, LSE.
    8. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    9. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Measuring energy poverty in Greece," Energy Policy, Elsevier, vol. 94(C), pages 157-165.
    10. 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.
    11. Zou, Hui, 2006. "The Adaptive Lasso and Its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1418-1429, December.
    12. Anderson, Will & White, Vicki & Finney, Andrea, 2012. "Coping with low incomes and cold homes," Energy Policy, Elsevier, vol. 49(C), pages 40-52.
    13. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    14. 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.
    15. Betto, Frida & Garengo, Patrizia & Lorenzoni, Arturo, 2020. "A new measure of Italian hidden energy poverty," Energy Policy, Elsevier, vol. 138(C).
    16. Jakub Sokolowski & Aneta Kielczewska & Piotr Lewandowski, 2019. "Defining and measuring energy poverty in Poland," IBS Research Reports 01/2019, Instytut Badan Strukturalnych.
    17. Stefan Bouzarovski & Aneta Kie³czewska & Piotr Lewandowski & Jakub Soko³owski, 2019. "Measuring energy poverty in Poland with the Multidimensional Energy Poverty Index," IBS Working Papers 07/2019, Instytut Badan Strukturalnych.
    18. Kerr, Niall & Gouldson, Andy & Barrett, John, 2017. "The rationale for energy efficiency policy: Assessing the recognition of the multiple benefits of energy efficiency retrofit policy," Energy Policy, Elsevier, vol. 106(C), pages 212-221.
    19. Mohr, Tanga McDaniel, 2018. "Fuel poverty in the US: Evidence using the 2009 Residential Energy Consumption Survey," Energy Economics, Elsevier, vol. 74(C), pages 360-369.
    20. 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.
    21. Ürge-Vorsatz, Diana & Tirado Herrero, Sergio, 2012. "Building synergies between climate change mitigation and energy poverty alleviation," Energy Policy, Elsevier, vol. 49(C), pages 83-90.
    22. Primc, Kaja & Slabe-Erker, Renata & Majcen, Boris, 2019. "Constructing energy poverty profiles for an effective energy policy," Energy Policy, Elsevier, vol. 128(C), pages 727-734.
    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. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(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. 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.
    4. Dogan, Eyup & Madaleno, Mara & Taskin, Dilvin, 2021. "Which households are more energy vulnerable? Energy poverty and financial inclusion in Turkey," Energy Economics, Elsevier, vol. 99(C).
    5. 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.
    6. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    7. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    8. Charlier, Dorothée & Legendre, Bérangère, 2021. "Fuel poverty in industrialized countries: Definition, measures and policy implications a review," Energy, Elsevier, vol. 236(C).
    9. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    10. Drescher, Katharina & Janzen, Benedikt, 2021. "Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data," Energy Economics, Elsevier, vol. 102(C).
    11. Lilia Karpinska & Sławomir Śmiech, 2021. "Escaping Energy Poverty: A Comparative Analysis of 17 European Countries," Energies, MDPI, vol. 14(18), pages 1-16, September.
    12. Romero, José Carlos & Linares, Pedro & López, Xiral, 2018. "The policy implications of energy poverty indicators," Energy Policy, Elsevier, vol. 115(C), pages 98-108.
    13. Marchand, Robert & Genovese, Andrea & Koh, S.C. Lenny & Brennan, Alan, 2019. "Examining the relationship between energy poverty and measures of deprivation," Energy Policy, Elsevier, vol. 130(C), pages 206-217.
    14. Okushima, Shinichiro, 2021. "Energy poor need more energy, but do they need more carbon? Evaluation of people's basic carbon needs," Ecological Economics, Elsevier, vol. 187(C).
    15. Fry, Jane M. & Farrell, Lisa & Temple, Jeromey B., 2022. "Energy poverty and retirement income sources in Australia," Energy Economics, Elsevier, vol. 106(C).
    16. Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
    17. Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019. "Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach," Energy Policy, Elsevier, vol. 131(C), pages 22-32.
    18. Bagnoli, Lisa & Bertoméu-Sánchez, Salvador, 2022. "How effective has the electricity social rate been in reducing energy poverty in Spain?," Energy Economics, Elsevier, vol. 106(C).
    19. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    20. Magdalena Cyrek & Piotr Cyrek, 2022. "Rural Specificity as a Factor Influencing Energy Poverty in European Union Countries," Energies, MDPI, vol. 15(15), pages 1-24, July.

    More about this item

    Keywords

    Hidden energy poverty; Energy under-consumption; Poland;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D1 - Microeconomics - - Household Behavior
    • D6 - Microeconomics - - Welfare Economics
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    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:enepol:v:147:y:2020:i:c:s0301421520305371. 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/enpol .

    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.