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Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach

Author

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  • Fateh Belaid

    (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)

  • Christophe Rault
Abstract
This paper investigates the key factors affecting household energy expenditure in Egypt. Based upon the latest 2015 Egyptian HIECS Survey, we develop a quantile regression model with an innovative variable selection approach via the adaptive lasso regularization technique to untangle the spectrum of household energy expenditure. Unsurprisingly, income, age, household size, housing size, and employment status are salient predictors for energy expenditure. Housing characteristics have a moderate impact, while socio-economic attributes have a much larger one. The most significant variations in household energy expenditures in Egypt are mainly due to variations in income, household size, and housing type. Our findings document substantial differences in household energy expenditure, originating from the asymmetric tails of the energy expenditure distribution. This outcome highlights the added value of implementing quantile regression methods. Our empirical results have various interesting policy implications regarding residential energy efficiency and carbon emissions reduction in Egypt. It proposes that targeting policies to specific households can improve the effectiveness of energy efficiency policies. These policies could combine both supply-side interventions, such as reducing energy services' cost and demand-side policies for energy-intensive consumers.

Suggested Citation

  • Fateh Belaid & Christophe Rault, 2021. "Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach," Post-Print hal-03272592, HAL.
    • Handle: RePEc:hal:journl:hal-03272592
    DOI: 10.1007/s10666-021-09764-8
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    Cited by:

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    4. BELAÏD, Fateh & Elsayed, Ahmed H. & Omri, Anis, 2021. "Key drivers of renewable energy deployment in the MENA Region: Empirical evidence using panel quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 225-238.
    5. Belaïd, Fateh & Flambard, Véronique, 2023. "Impacts of income poverty and high housing costs on fuel poverty in Egypt: An empirical modeling approach," Energy Policy, Elsevier, vol. 175(C).
    6. Perera, Pradeep & Sarker, Tapan & Islam, K. M. Nazmul & Belaïd, Fateh & Taghizadeh-Hesary, Farhad, 2021. "How Precious Is the Reliability of the Residential Electricity Service in Developing Economies? Evidence from India," ADBI Working Papers 1211, Asian Development Bank Institute.
    7. Taneja, Shivani & Mandys, Filip, 2022. "Drivers of UK household energy expenditure: Promoting efficiency and curbing emissions," Energy Policy, Elsevier, vol. 167(C).
    8. Ryszard Kowalski & Agnieszka Strzelecka & Agnieszka Wałęga & Grzegorz Wałęga, 2023. "Do Children Matter to the Household Debt Burden?," Journal of Family and Economic Issues, Springer, vol. 44(4), pages 1007-1022, December.

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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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