IDEAS home Printed from https://ideas.repec.org/p/ibt/report/rr012018.html
   My bibliography  Save this paper

Pomiar ubostwa energetycznego na podstawie danych BBGD - metodologia i zastosowanie

Author

Listed:
  • Piotr Lewandowski
  • Katarzyna Salach

Abstract

W niniejszym raporcie przedstawiamy sposob statystycznej identyfikacji gospodarstw domowych ubogich energetycznie wedlug wskaznika Wysokie Koszty – Niskie Dochody (WK-ND, ang. Low Income High Costs). Prezentujemy koncepcje pomiaru ubostwa energetycznego, a nastepnie krok po kroku opisujemy implementacje wskaznika WK-ND przy uzyciu danych z Badania Budzetow Gospodarstw Domowych dla lat 2012-2016. Szacujemy, ze w 2016 roku ubostwo energetyczne dotyczylo 4,6 miliona osob, czyli 12,2% populacji Polski. Stopa ubostwa energetycznego obnizyla sie w latach 2012-2016 o 2,2 pkt. proc., glownie ze wzgledu na rosnace dochody ludnosci. Polowa osob ubogich energetycznie byla rownoczesnie uboga dochodowo w ujeciu relatywnym. Wiekszosc ubogich energetycznie mieszkala na wsiach i w malych miastach, zwykle w domach jednorodzinnych, i korzystala z kotla lub pieca na paliwa stale jako podstawowego zrodla ciepla.

Suggested Citation

  • Piotr Lewandowski & Katarzyna Salach, 2018. "Pomiar ubostwa energetycznego na podstawie danych BBGD - metodologia i zastosowanie," IBS Research Reports 01/2018, Instytut Badan Strukturalnych.
  • Handle: RePEc:ibt:report:rr012018
    as

    Download full text from publisher

    File URL: http://ibs.org.pl//app/uploads/2018/01/IBS_Research_Report_01_2018_pl.pdf
    File Function: Polish Version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. John Hills, 2011. "Fuel Poverty: The problem and its measurement. Interim Report of the Fuel Poverty Review," CASE Reports casereport69, Centre for Analysis of Social Exclusion, LSE.
    3. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    4. Ormandy, David & Ezratty, Véronique, 2012. "Health and thermal comfort: From WHO guidance to housing strategies," Energy Policy, Elsevier, vol. 49(C), pages 116-121.
    5. Michal Myck & Mateusz Najsztub, 2015. "Data and Model Cross-validation to Improve Accuracy of Microsimulation Results: Estimates for the Polish Household Budget Survey," International Journal of Microsimulation, International Microsimulation Association, vol. 8(1), pages 33-66.
    6. Maciej Lis & Agata Miazga & Katarzyna Salach, 2016. "Location, location, location. What accounts for regional variation of fuel poverty in Poland?," IBS Working Papers 09/2016, Instytut Badan Strukturalnych.
    7. John Hills, 2012. "Getting the measure of fuel poverty: Executive summary," CASE Briefs 31, Centre for Analysis of Social Exclusion, LSE.
    8. 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.
    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. Agnieszka Biernat-Jarka & Paulina Trębska & Sławomir Jarka, 2021. "The Role of Renewable Energy Sources in Alleviating Energy Poverty in Households in Poland," Energies, MDPI, vol. 14(10), pages 1-21, May.
    2. Jakub Sokolowski & Aneta Kielczewska & Piotr Lewandowski, 2019. "Defining and measuring energy poverty in Poland," IBS Research Reports 01/2019, Instytut Badan Strukturalnych.
    3. Joanna Mazurkiewicz & Aleksandra Prusak & Jan Frankowski, 2024. "How to use social support networks to tackle energy poverty?," IBS Policy Papers 01/2024, Instytut Badan Strukturalnych.

    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. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    2. Dorothée Charlier & Sondès Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, , vol. 40(2), pages 101-138, March.
    3. 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.
    4. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    5. Charlier, Dorothée, 2015. "Energy efficiency investments in the context of split incentives among French households," Energy Policy, Elsevier, vol. 87(C), pages 465-479.
    6. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    7. 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.
    8. Mattioli, Giulio & Lucas, Karen & Marsden, Greg, 2018. "Reprint of Transport poverty and fuel poverty in the UK: From analogy to comparison," Transport Policy, Elsevier, vol. 65(C), pages 114-125.
    9. Rafal Nagaj & Jaroslaw Korpysa, 2020. "Impact of COVID-19 on the Level of Energy Poverty in Poland," Energies, MDPI, vol. 13(18), pages 1-18, September.
    10. 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).
    11. Dorothée Charlier & Bérangère Legendre, 2016. "Fuel Poverty: A Composite Index Approach," Policy Papers 2016.06, FAERE - French Association of Environmental and Resource Economists.
    12. Heindl, Peter, 2014. "Ökonomische Aspekte der Lastenverteilung in der Umweltpolitik am Beispiel der Energiewende: Ein Beitrag zum interdisziplinären Dialog," ZEW Discussion Papers 14-061, ZEW - Leibniz Centre for European Economic Research.
    13. Heindl, Peter & Schuessler, Rudolf, 2015. "Dynamic properties of energy affordability measures," Energy Policy, Elsevier, vol. 86(C), pages 123-132.
    14. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    15. 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.
    16. DorothŽe Charlier & Berang re Legendre & Anna Risch, 2017. "Fuel poverty and indoor pollution: Providing financial support vs. combatting poor housing?," Policy Papers 2017.05, FAERE - French Association of Environmental and Resource Economists.
    17. Dorothée Charlier & Anna Risch & Claire Salmon, 2016. "Reducing the Energy Burden of the Poor and Greenhouse Gas Emissions: Can We Kill Two Birds with One Stone?," Policy Papers 2016.01, FAERE - French Association of Environmental and Resource Economists.
    18. Kahouli, Sondès, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Energy Economics, Elsevier, vol. 85(C).
    19. 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).
    20. 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.

    More about this item

    Keywords

    ubostwo energetyczne; wskaznik WK-ND; LIHC; BBGD;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - 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:ibt:report:rr012018. 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: IBS (email available below). General contact details of provider: https://edirc.repec.org/data/ibswapl.html .

    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.