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Measuring energy poverty in Poland with the Multidimensional Energy Poverty Index

Author

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  • Stefan Bouzarovski
  • Aneta Kie³czewska
  • Piotr Lewandowski
  • Jakub Soko³owski

Abstract

Energy poverty is a complex problem that is generally caused by having a low income, having high energy costs, and/or living in a home with low energy efficiency. Various indicators capture these factors, but there is no consensus among researchers on which is the best one, or on how to combine them. Thus, poverty mapping and policy planning would benefit from having access to a unitary index of poverty. We have created a multidimensional energy poverty index using the methodology proposed by Alkire and Foster (2008). The index accounts for five dimensions of energy deprivation: two objective indicators of “low income, high costs” and “high share of energy expenditure in income”, as well as three subjective indicators of “inability to keep the home adequately warm”, “presence of leaks, damp, or rot” and “difficulties paying utility bills”. We define households as poor if at least two forms of deprivation are present. We apply our index to Poland using Household Budget Survey data. We find that in 2017, 10% of households in Poland suffered from multidimensional energy poverty, and that about half of these households were also income-poor. Households living in buildings built before 1946, households living in rural areas, and households that were dependent on retirement and disability pensions or on unearned sources of income were at especially high risk of energy poverty.

Suggested Citation

  • 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.
  • Handle: RePEc:ibt:wpaper:wp072019
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    References listed on IDEAS

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    Cited by:

    1. Ren, Yi-Shuai & Jiang, Yong & Narayan, Seema & Ma, Chao-Qun & Yang, Xiao-Guang, 2022. "Marketisation and rural energy poverty: Evidence from provincial panel data in China," Energy Economics, Elsevier, vol. 111(C).
    2. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    3. Feeny, Simon & Trinh, Trong-Anh & Zhu, Anna, 2021. "Temperature shocks and energy poverty: Findings from Vietnam," Energy Economics, Elsevier, vol. 99(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. 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).
    6. Blanka Tundys & Agnieszka Bretyn & Maciej Urbaniak, 2021. "Energy Poverty and Sustainable Economic Development: An Exploration of Correlations and Interdependencies in European Countries," Energies, MDPI, vol. 14(22), pages 1-25, November.
    7. 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

    energy poverty; multidimensional poverty index; Alkire-Foster method;
    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
    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other

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