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Impacts of income poverty and high housing costs on fuel poverty in Egypt: An empirical modeling approach

Author

Listed:
  • Fateh Belaïd

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Véronique Flambard

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, UCL FGES - Université Catholique de Lille - Faculté de gestion, économie et sciences - ICL - Institut Catholique de Lille - UCL - Université catholique de Lille)

Abstract

Energy poverty is a new growing dimension of inequality in both developed and developing economies. Here, we develop an empirical model to examine the linkage between fuel poverty, income, and high housing costs in developing countries. Our analysis focuses on Egypt, a country that has undergone rapid development and significant energy reforms in recent years. Employing a probit and ordered multinomial framework to data from the Egyptian HIECS Survey, a nationally representative sample of both households and dwellings, we estimate the fuel, income, and housing cost-induced poverty extent and their key determinants. Our results show that households with low income, high energy, and high housing expenses represent approximately 16.4% of the total population, and 7.44% have low income, high energy, and low housing expenses. Our findings on critical factors driving LIHC poverty types (e.g., house type and family size) have some important policy implications for understanding the fuel poverty phenomenon and inequality reduction in Egypt, not only for the LIHC definition but also for any indicator of (fuel) poverty involving the posthousing (energy cost) concept.

Suggested Citation

  • Fateh Belaïd & Véronique Flambard, 2023. "Impacts of income poverty and high housing costs on fuel poverty in Egypt: An empirical modeling approach," Post-Print hal-04125482, HAL.
  • Handle: RePEc:hal:journl:hal-04125482
    DOI: 10.1016/j.enpol.2023.113450
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    References listed on IDEAS

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    Cited by:

    1. Gu, Jiafeng, 2023. "Energy poverty and government subsidies in China," Energy Policy, Elsevier, vol. 180(C).
    2. Yiming Xiao & Zhijun Feng & Xinying Li & Shangrui Wang, 2024. "Low-carbon transition and energy poverty: quasi-natural experiment evidence from China’s low-carbon city pilot policy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    3. Dagher, Leila & Jamali, Ibrahim & Abi Younes, Oussama, 2023. "Extreme energy poverty: The aftermath of Lebanon’s economic collapse," Energy Policy, Elsevier, vol. 183(C).
    4. Belaïd, Fateh & Massié, Camille, 2023. "The viability of energy efficiency in facilitating Saudi Arabia's journey toward net-zero emissions," Energy Economics, Elsevier, vol. 124(C).
    5. Belaïd, Fateh & Massié, Camille, 2023. "Driving forward a low-carbon built environment: The impact of energy context and environmental concerns on building renovation," Energy Economics, Elsevier, vol. 124(C).

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    More about this item

    Keywords

    Fuel poverty; Inequality; Energy demand; Well-being; Egypt;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • D1 - Microeconomics - - Household Behavior
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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