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Does Income Inequality Influence Energy Consumption in the European Union?

Author

Listed:
  • Mihaela Simionescu

    (Faculty of Business and Administration, University of Bucharest, 030018 Bucharest, Romania
    Academy of Romanian Scientists, Ilfov 3, 050044 Bucharest, Romania
    Institute for Economic Forecasting, Romanian Academy, Calea 13 Septembrie 13, 050711 Bucharest, Romania)

  • Bogdan Oancea

    (Faculty of Business and Administration, University of Bucharest, 030018 Bucharest, Romania
    National Institute of Research and Development for Biological Sciences, Splaiul Independenței 296, 060031 Bucharest, Romania)

Abstract
This study examines the emerging challenge of how income inequality affects household energy consumption within the European Union amidst the ongoing energy crisis. Using the Gini index and the gender pay gap as indicators of income inequality, the analysis covers the period 2000–2023 across EU member states. Dynamic panel data models reveal that the Gini index negatively impacted final energy consumption per capita as well as energy consumption specifically from gas oil and diesel, while the gender pay gap is associated with less energy consumption in the realms of natural gas and ambient heating. Causality is further explored through recent methodology developed for panel data and Bayesian networks, and the results confirm the causality between energy consumption and income inequality. To address the complex relationship between income inequality and energy consumption, policymakers should implement integrated strategies promoting energy efficiency, clean energy transitions, gender equality, and social safety nets, particularly in light of the energy crisis exacerbated by the Russia–Ukraine conflict.

Suggested Citation

  • Mihaela Simionescu & Bogdan Oancea, 2025. "Does Income Inequality Influence Energy Consumption in the European Union?," Energies, MDPI, vol. 18(4), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:787-:d:1586475
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    References listed on IDEAS

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    1. Shinhye Chang & Rangan Gupta & Stephen M. Miller, 2018. "Causality Between Per Capita Real GDP and Income Inequality in the U.S.: Evidence from a Wavelet Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 269-289, January.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    4. Dalia Streimikiene & Vidas Lekavičius & Tomas Baležentis & Grigorios L. Kyriakopoulos & Josef Abrhám, 2020. "Climate Change Mitigation Policies Targeting Households and Addressing Energy Poverty in European Union," Energies, MDPI, vol. 13(13), pages 1-24, July.
    5. Michał Grajek, 2003. "Gender Pay Gap in Poland," Economic Change and Restructuring, Springer, vol. 36(1), pages 23-44, March.
    6. Sima Siami-Namini & Darren Hudson, 2019. "Inflation and income inequality in developed and developing countries," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(3), pages 611-632, August.
    7. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    8. Fortin, Nicole M. & Bell, Brian & Böhm, Michael, 2017. "Top earnings inequality and the gender pay gap: Canada, Sweden, and the United Kingdom," Labour Economics, Elsevier, vol. 47(C), pages 107-123.
    9. Kotek, Péter & Selei, Adrienn & Takácsné Tóth, Borbála & Felsmann, Balázs, 2023. "What can the EU do to address the high natural gas prices?," Energy Policy, Elsevier, vol. 173(C).
    10. Huynh, Cong Minh & Phan, Thi Nga, 2024. "Climate change and income inequality: Does renewable energy matter?," Renewable Energy, Elsevier, vol. 233(C).
    11. Acheampong, Alex O. & Dzator, Janet & Shahbaz, Muhammad, 2021. "Empowering the powerless: Does access to energy improve income inequality?," Energy Economics, Elsevier, vol. 99(C).
    12. Li, Jiajia & Zhang, Jian & Zhang, Dayong & Ji, Qiang, 2019. "Does gender inequality affect household green consumption behaviour in China?," Energy Policy, Elsevier, vol. 135(C).
    13. Odhiambo, Nicholas M., 2022. "Information technology, income inequality and economic growth in sub-Saharan African countries," Telecommunications Policy, Elsevier, vol. 46(6).
    14. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    15. George Kassinis & Alexia Panayiotou & Andreas Dimou & Georgia Katsifaraki, 2016. "Gender and Environmental Sustainability: A Longitudinal Analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 23(6), pages 399-412, November.
    16. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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