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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
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    References listed on IDEAS

    as
    1. Ormandy, David & Ezratty, Véronique, 2012. "Health and thermal comfort: From WHO guidance to housing strategies," Energy Policy, Elsevier, vol. 49(C), pages 116-121.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. John Hills, 2012. "Getting the measure of fuel poverty: Executive summary," CASE Briefs 31, Centre for Analysis of Social Exclusion, LSE.
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    Cited by:

    1. Jakub Sokolowski & Aneta Kielczewska & Piotr Lewandowski, 2019. "Defining and measuring energy poverty in Poland," IBS Research Reports 01/2019, Instytut Badan Strukturalnych.
    2. 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.
    3. 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.

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    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

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