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Fuel Poverty Exposure and Drivers: A Comparison of Vulnerability Landscape between Egypt and Jordan
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Fuel Poverty Exposure and Drivers: A Comparison of Vulnerability Landscape between Egypt and Jordan

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  • Fateh Belaid

    (Lille Catholic University)

Abstract

This article, using ERF-LIS harmonized microdata, develops an empirical model to investigate the unexplored extent and fuel poverty explanatory factors in Egypt and Jordan. First, we use the “Low income – High Consumption” indicator to measure the fuel poverty extent. Second, we implement a multivariate statistical approach to untangle the fuel poor household profile. Then,to explore the factors driving the risk of falling into fuel poverty situations we use a logistic regression model. This research is an important empirical contribution to the sparse literature of fuel vulnerability in MENA countries. It puts forward an empirical approach, which is helpful in discerning and targeting families most in need of energy and financial related assistance. From policy perspectives, the findings provide promising ways of accounting for the fuel poverty phenomenon as a vector of inequality trends in the MENA region. The main findings of the research point to the crucial instrumental role of economic conditions, reducing inequalities and access to education facilities in attenuating fuel poverty in Egypt and Jordan. Policies that mitigate fuel poverty may thus have direct impacts on both well-being and inequalities reduction.

Suggested Citation

  • Fateh Belaid, 2020. "Fuel Poverty Exposure and Drivers: A Comparison of Vulnerability Landscape between Egypt and Jordan," Working Papers 1392, Economic Research Forum, revised 20 Apr 2020.
    • Handle: RePEc:erg:wpaper:1392
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    1. Datt, Gaurav & Jolliffe, Dean, 2005. "Poverty in Egypt: Modeling and Policy Simulations," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 327-346, January.
    2. Burlinson, Andrew & Giulietti, Monica & Battisti, Giuliana, 2018. "The elephant in the energy room: Establishing the nexus between housing poverty and fuel poverty," Energy Economics, Elsevier, vol. 72(C), pages 135-144.
    3. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Energy poverty in the UK: Is there a difference between rural and urban areas?," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204213, Agricultural Economics Society.
    4. 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.
    5. Tirado Herrero, Sergio & Ürge-Vorsatz, Diana, 2012. "Trapped in the heat: A post-communist type of fuel poverty," Energy Policy, Elsevier, vol. 49(C), pages 60-68.
    6. Belaïd, Fateh & Joumni, Haitham, 2020. "Behavioral attitudes towards energy saving: Empirical evidence from France," Energy Policy, Elsevier, vol. 140(C).
    7. Jaber, J. O. & Probert, S. D., 2001. "Energy demand, poverty and the urban environment in Jordan," Applied Energy, Elsevier, vol. 68(2), pages 119-134, February.
    8. Wodon, Quentin T., 1997. "Targeting the poor using ROC curves," World Development, Elsevier, vol. 25(12), pages 2083-2092, December.
    9. Belaïd, Fateh & Roubaud, David & Galariotis, Emilios, 2019. "Features of residential energy consumption: Evidence from France using an innovative multilevel modelling approach," Energy Policy, Elsevier, vol. 125(C), pages 277-285.
    10. 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.
    11. 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.
    12. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Fuel poverty in the UK: Is there a difference between rural and urban areas?," Energy Policy, Elsevier, vol. 87(C), pages 216-223.
    13. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    14. 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.
    15. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    16. Paul Makdissi & Quentin Wodon, 2006. "Fuel poverty and access to electricity: comparing households when they differ in needs," Applied Economics, Taylor & Francis Journals, vol. 38(9), pages 1071-1078.
    17. Galvin, Ray & Sunikka-Blank, Minna, 2018. "Economic Inequality and Household Energy Consumption in High-income Countries: A Challenge for Social Science Based Energy Research," Ecological Economics, Elsevier, vol. 153(C), pages 78-88.
    18. Boardman, Brenda, 1993. "Opportunities and constraints posed by fuel poverty on policies to reduce the greenhouse effect in britain," Applied Energy, Elsevier, vol. 44(2), pages 185-195.
    19. Belaïd, Fateh & Bakaloglou, Salomé & Roubaud, David, 2018. "Direct rebound effect of residential gas demand: Empirical evidence from France," Energy Policy, Elsevier, vol. 115(C), pages 23-31.
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    More about this item

    JEL classification:

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

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