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Forecasting Energy Poverty in European Countries: The Effect of Increasing Energy Commodities Prices

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  • Alfonso Carfora

    (Department of Economics and Law, University of Macerata, 62100 Macerata, Italy)

  • Giuseppe Scandurra

    (Department of Management Studies and Quantitative Methods, University of Naples Parthenope, 80133 Naples, Italy)

Abstract

The impact of the global COVID-19 pandemic has been devastating in many countries, increasing household energy poverty. Lockdown measures have brought the EU economies into recession phases and forced people to stay confined to their homes, aggravating these issues. From the second half of 2021, when the worst seemed behind us, a new threat has appeared threatening economic recovery: the inflationary process in energy prices. This paper aims to verify the effects on energy poverty in European countries following the economic crisis generated by COVID-19 and the current inflationary scenario due to the increase in energy commodity prices through dynamic factor models, estimating the time it will take for energy poverty to return to levels before the shocks that occurred over the past two years. The outcomes show that the overall rise in energy prices (in particular gas) that unexpectedly affected European countries modifies the forecast scenarios, delaying, at best, the first improvements, initially expected as early as 2021, until after 2022.

Suggested Citation

  • Alfonso Carfora & Giuseppe Scandurra, 2024. "Forecasting Energy Poverty in European Countries: The Effect of Increasing Energy Commodities Prices," Energies, MDPI, vol. 17(5), pages 1-14, March.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1224-:d:1350879
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    References listed on IDEAS

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    1. Carlo Andrea Bollino & Fabrizio Botti, 2017. "Energy Poverty in Europe: A Multidimensional Approach," PSL Quarterly Review, Economia civile, vol. 70(283), pages 449-472.
    2. Blanka Tundys & Agnieszka Bretyn, 2023. "Energy Transition Scenarios for Energy Poverty Alleviation: Analysis of the Delphi Study," Energies, MDPI, vol. 16(4), pages 1-20, February.
    3. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    4. Fatih Birol, 2007. "Energy Economics: A Place for Energy Poverty in the Agenda?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-6.
    5. Fan Wang & Yao Lu & Jin Li & Juan Ni, 2021. "Evaluating Environmentally Sustainable Development Based on the PSR Framework and Variable Weigh Analytic Hierarchy Process," IJERPH, MDPI, vol. 18(6), pages 1-16, March.
    6. Stefan Bouzarovski, 2014. "Energy poverty in the European Union: landscapes of vulnerability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(3), pages 276-289, May.
    7. Franz Fuerst & Dimitra Kavarnou & Ramandeep Singh & Hassan Adan, 2020. "Determinants of energy consumption and exposure to energy price risk: a UK study [Determinanten des Energieverbrauchs und Energiepreisrisiko: Eine Studie aus Großbritannien]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(1), pages 65-80, April.
    8. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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