Journal of Applied Economic Research
ISSN 2712-7435
The Impact of Income Inequality on Renewable Energy Consumption in Countries with Different Economic Development Levels
Natalia B. Davidson, Marina D. Somina, Oleg S. Mariev
Ural Federal University named after the First President of Russia B.N. Yeltsin, Yekaterinburg, Russia
Abstract
Sustainable development has been a major topic of policy discussions, drawing attention to determinants of energy transition. Investigating the link between income inequality and renewable energy consumption (REC) is essential for advancing sustainable development objectives. The aim of this paper is to investigate the impact of income inequality on REC. The hypotheses are the following. First, income inequality negatively affects REC. Second, national income share of top 1% of the richest population affects REC relatively more than the Gini index. Third, developed countries experience relatively greater impact of inequality on REC. The research procedure is based on panel data covering 160 countries over the period 2000–2022. Utilising the fixed effects model with Driscoll-Kraay standard errors to account for spatial correlation between countries, we examine the impact of income inequality, GDP per capita, trade openness, human development, and corruption on energy transition in developed, transition, and developing countries, addressing different aspects of income inequality: the income share held by the richest 10% and 1% of population, and the Gini index. We find that income inequality decreases REC in all groups of countries, while income share of the richest 1% affects REC the most, and the highest impact of inequality is observed in developed economies. Theoretical and practical contribution of this study is the following. First, we account for differences in economic development between countries. Second, we employ three inequality indicators. Our findings imply that decreasing inequality, combating corruption, promoting renewable energy investment, and improving human capital would facilitate the REC thus mitigating climate change.
Keywords
income inequality; renewable energy consumption; corruption; trade openness; economic growth; human development; Driscoll-Kraay method.
JEL classification
O15, Q42, Q56References
1. Ying, W., Mayburov, I.A. (2025). The Impact of VAT Preferential Policies on the Profitability of China’s New Energy Power Generation Industry. Energies, Vol. 18, Issue 14, 3614. doi.org/10.3390/en18143614
2. Ram, M., Bogdanov, D., Aghahosseini, A., Gulagi, A. et al. (2022). Global energy transition to 100% renewables by 2050: Not fiction, but much needed impetus for developing economies to leapfrog into a sustainable future. Energy, Vol. 246, 123419. doi.org/10.1016/j.energy.2022.123419
3. Hübler, M. (2016). The inequality-emissions nexus in the context of trade and development – a quantile regression approach. Ecological Economics, Vol. 134, 174–185. doi.org/10.1016/j.ecolecon.2016.12.015
4. Acheampong, A., Boateng, E., Annor, C. (2024). Do corruption, income inequality and redistribution hasten transition towards (non)renewable energy economy? Structural Change and Economic Dynamics, Vol. 68, 329–354. doi.org/10.1016/j.strueco.2023.11.006
5. Uzar, U. (2020). Is income inequality a driver for renewable energy consumption? Journal of Cleaner Production, Vol. 255, 120287. doi.org/10.1016/j.jclepro.2020.120287
6. Uzar, U. (2020). Political economy of renewable energy: Does institutional quality make a difference in renewable energy consumption? Renewable Energy, Vol. 155, 591–603. doi.org/10.1016/j.renene.2020.03.172
7. Churchill, A.S., Ivanovski, K., Munyanyi, M. (2021). Income inequality and renewable energy consumption: Time-varying non-parametric evidence. Journal of Cleaner Production, Vol. 296, 126306. doi.org/10.1016/j.jclepro.2021.126306
8. Harichandan, S., Kar, S., Bansal, R., Mishra, S., Balathanigaimani, M., Dash, M. (2022). Energy transition research: A bibliometric mapping of current findings and direction for future research. Cleaner Production Letters, Vol. 3, 100026. doi.org/10.1016/j.clpl.2022.100026
9. Yang, Y., Xia, S., Huang, P., Qian, J. (2024). Energy transition: Connotations, mechanisms and effects. Energy Strategy Reviews, Vol. 52, 101320 doi.org/10.1016/j.esr.2024.101320
10. Malik, A., Bertram, C., Kriegler, E., Luderer, G. (2021). Climate policy accelerates structural changes in energy employment. Energy Policy, Vol. 159, 112642. doi.org/10.1016/j.enpol.2021.112642
11. Okushima, S. (2021). Energy poor need more energy, but do they need more carbon? Evaluation of people's basic carbon needs. Ecological Economics, Vol. 187, 107081. doi.org/10.1016/j.ecolecon.2021.107081
12. González-Eguino, M. (2015). Energy poverty: An overview. Renewable and Sustainable Energy Reviews, Vol. 47, 377–385. doi.org/10.1016/j.rser.2015.03.013
13. Reinsdorf, M. (2020). Measuring economic welfare: What and how? IMF Policy Paper, Vol. 2020, Issue 028, International Monetary Fund, 49 p. doi.org/10.5089/9781513544588.007
14. Gini, C. (2005). On the measurement of concentration and variability of characters. Metron – International Journal of Statistics, Vol. LXIII, Issue 1, 1–28. Available at: EconPapers.repec.org/RePEc:mtn:ancoec:110101
15. Atkinson, A., Piketty, T. (2007). Top Incomes Over the Twentieth Century: A Contrast Between Continental European and English-Speaking Countries. Oxford University Press. Available at: EconPapers.repec.org/RePEc:oxp:obooks:9780199286881
16. Topcu, M., Tugcu, C. (2020). The impact of renewable energy consumption on income inequality: Evidence from developed countries. Renewable Energy, Vol. 151, 1134–1140. doi.org/10.1016/j.renene.2019.11.103
17. Chancel, L. (2020). Unsustainable Inequalities: Social Justice and the Environment. Harvard University Press, Belknap Press. doi.org/10.2307/j.ctv2jfvcd3
18. Lindvall, D., Karlsson, M. (2024). Exploring the democracy-climate nexus: a review of correlations between democracy and climate policy performance. Climate Policy, Vol. 24, Issue 1, 87–103. https://doi.org/10.1080/14693062.2023.2256697
19. Chen, C., Pinar, M., Stengos, T. (2021). Determinants of renewable energy consumption: Importance of democratic institutions. Renewable Energy, Vol. 179, 75–83. doi.org/10.1016/j.renene.2021.07.030
20. Husaini, D.H., Mansor, S., Lean, H.H. (2024). Income inequality, natural resources dependence and renewable energy. Resources Policy, Vol. 89, 104480. doi.org/10.1016/j.resourpol.2023.104480
21. Boyce, J.K. (1994). Inequality as a cause of environmental degradation. Ecological Economics, Vol. 11, Issue 3, 169–178. doi.org/10.1016/0921-8009(94)90198-8
22. Berthe, A., Elie, L. (2015). Mechanisms explaining the impact of economic inequality on environmental deterioration. Ecological Economics, Vol. 116, 191–200. doi.org/10.1016/j.ecolecon.2015.04.026
23. Ben Jebli, M., Ben Youssef, S. (2015). The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia. Renewable and Sustainable Energy Reviews, Vol. 47, 173–185. doi.org/10.1016/j.rser.2015.02.049
24. Cadoret, I., Padovano, F. (2016). The political drivers of renewable energies policies. Energy Economics, Vol. 56, 261–269. https://doi.org/10.1016/j.eneco.2016.03.003
25. Al-Mulali, U., Fereidouni, H.S., Lee, J.Y.M. (2014). Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries. Renewable and Sustainable Energy Reviews, Vol. 30, 290–298. doi.org/10.1016/j.rser.2013.10.006
26. Al-Mulali, U., Ozturk, I., Lean, H.H. (2015). The influence of economic growth, urbanization, trade openness, financial development, and renewable energy on pollution in Europe. Natural Hazards, Vol. 79, 621–644. doi.org/10.1007/s11069-015-1865-9
27. Zeren, F., Akkuş, H.T. (2020). The relationship between renewable energy consumption and trade openness: New evidence from emerging economies. Renewable Energy, Vol. 147, Part 1, 322–329. doi.org/10.1016/j.renene.2019.09.006
28. Akar, B.G. (2016). The determinants of renewable energy consumption: An empirical analysis for the Balkans. European Scientific Journal, Vol. 12, No. 11, 594. doi.org/10.19044/esj.2016.v12n11p594
29. Hoa, P., Ngoc Xuan, V., Thu, N. (2023). Determinants of renewable energy consumption in the fifth technology revolution: Evidence from ASEAN countries. Journal of Open Innovation: Technology, Market, and Complexity, Vol. 10, Issue 1, 100190. doi.org/10.1016/j.joitmc.2023.100190
30. Aizenman, J., Noy, I. (2006). FDI and trade – Two-way linkages? The Quarterly Review of Economics and Finance, Vol. 46, Issue 3, 317–337. doi.org/10.1016/j.qref.2006.02.004
31. Khan, A., Chenggang, Y., Hussain, J., Kui, Z. (2021). Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in Belt & Road Initiative countries. Renewable Energy, Vol. 171, 479–491. doi.org/10.1016/j.renene.2021.02.075
32. Sebri, M., Ben Salha, O. (2014). On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries. Renewable and Sustainable Energy Reviews, Vol. 39, 14–23. doi.org/10.1016/j.rser.2014.07.033
33. Sulaiman, J., Azman, A., Saboori, B. (2013). The potential of renewable energy: Using the Environmental Kuznets Curve model. American Journal of Environmental Sciences, Vol. 9, No. 2, 103–112. doi.org/10.3844/ajessp.2013.103.112
34. Zhang, M., Zhang, S., Lee, C., Zhou, D. (2021). Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling, Energy Economics, Vol. 104, 105649. doi.org/10.1016/j.eneco.2021.105649
35. Alotaibi, R., Mishra, A. (2014). Determinants of international financial integration of GCC markets. In: Emerging Markets and the Global Economy: A Handbook. Edited by M. Arouri, S. Boubaker, D. Nguyen. Academic Press, 749–771. doi.org/10.1016/B978-0-12-411549-1.00031-4
36. Omri, A. (2014). On the determinants of renewable energy consumption: International evidence. Energy, Vol. 72, 554–560. doi.org/10.1016/j.energy.2014.05.081
37. Clark, A. (2017). Measuring corruption: Transparency International’s “Corruption Perceptions Index”. In: Corruption, Accountability and Discretion, Vol. 29. Emerald Publishing Limited, Leeds, 3–22. doi.org/10.1108/S2053-769720170000029001
38. Deb, S. (2015). The Human Development Index and its methodological refinements. Social Change, Vol. 45, Issue 1, 131–136. doi.org/10.1177/0049085714561937
39. Pesaran, H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper, No. 1229. Center for Economic Studies & Ifo Institute for Economic Research, 39 p. doi.org/10.2139/ssrn.572504
40. Driscoll, J.C., Kraay, A.C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, Vol. 80, No. 4, 549–560. doi.org/10.1162/003465398557825
41. Murshed, M. (2020). Are trade liberalization policies aligned with renewable energy transition in low and middle-income countries? An instrumental variable approach. Renewable Energy, Vol. 151, 1110–1123. doi.org/10.1016/j.renene.2019.11.106
42. Cobham, A., Sumner, A. (2013). Is it all about the tails? The Palma measure of income inequality. CGD Working Paper 343. Washington, DC: Center for Global Development. Available at: ideas.repec.org/p/cgd/wpaper/343.html
Acknowledgements
This study was supported by the grant of the Russian Science Foundation № 23-18-01065 «Economic Potentials of Russian Mineral Industry towards Global Energy Transition amid Geopolitical Tension».
About Authors
Natalia Borisovna Davidson
Candidate of Economic Sciences, Associate Professor, Economic Policy and World Economy Department, Graduate School of Economics and Management, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia (620002, Yekaterinburg, Mira street, 19); ORCID orcid.org/0000-0002-6779-9561 e-mail: n.b.davidson@urfu.ru
Marina Dmitrievna Somina
B.A. in Economics, Graduate School of Economics and Management, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia (620002, Yekaterinburg, Mira street, 19); ORCID orcid.org/0009-0002-6017-9594 email: marina.dmtr.s@gmail.com
Oleg Svyatoslavovitch Mariev
Candidate of Economic Sciences, Research Fellow, Graduate School of Economics and Management, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia (620002, Yekaterinburg, Mira street, 19); ORCID orcid.org/0000-0002-9745-8434 e-mail: o.s.mariev@urfu.ru
For citation
Davidson, N.B., Somina, M.D., Mariev, O.S. (2025). The Impact of Income Inequality on Renewable Energy Consumption in Countries with Different Economic Development Levels. Journal of Applied Economic Research, Vol. 24, No. 4, 1140-1164. https://doi.org/10.15826/vestnik.2025.24.4.037
Article info
Received August 21, 2025; Revised October 6, 2025; Accepted October 10, 2025.
DOI: https://doi.org/10.15826/vestnik.2025.24.4.037
Download full text article:
~512 KB, *.pdf
(Uploaded
08.12.2025)
Created / Updated: 2 September 2015 / 20 September 2021
© Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»
Remarks?
select the text and press:
Ctrl + Enter
Portal design: Artsofte
©Ural Federal University named the first President of Russia B.N.Yeltsin (Website)