Energy Consumption, Economic Growth and CO2 Emissions: Empirical Evidence for EU Countries
DOI:
https://doi.org/10.47743/saeb-2025-0004Keywords:
renewable energy consumption, CO2 emissions, Panel Vector Autoregressive (VAR) model, mitigation.Abstract
This paper explores the relationship between economic growth, energy consumption (from fossil fuels and renewable sources), and CO2 emissions in the EU, highlighting the causal relationships between these variables. Through a Panel Vector Autoregressive (VAR) model and statistical test, it is found that fossil fuel consumption has a strong positive effect on CO2 emissions, while renewable energy has a milder negative effect. Granger causality tests confirm the significant causal relationship between fossil fuel consumption and CO2 emissions, highlight the positive impact of renewables on economic growth, showcase the link between economic growth and both emissions growth and renewable energy consumption. The findings emphasize the urgent need for a more aggressive shift towards renewable energy and enhanced energy efficiency to meet the EU's climate neutrality objectives. This study contributes critical insights for policymakers, emphasizing the importance of balancing economic growth with environmental sustainability by accelerating the transition to cleaner energy sources.
References
Akadiri, S. S., Bekun, F. V., Taheri, E., & Akadiri, A. C. (2019). Carbon Emissions, Energy Consumption and Economic Growth: A Causality Evidence. International Journal of Energy Technology and Policy, 15(2/3), 320-336. http://dx.doi.org/10.1504/IJETP.2019.098956
Al Araby, L., Samak, N., & Ibrahiem, D. M. (2019). The Impact of Renewable and Non-Renewable Energy on Carbon Dioxide Emission: An Empirical Analysis for Euro Mediterranean Countries. International Journal of Energy Economics and Policy, 9(6), 103-108. http://dx.doi.org/10.32479/ijeep.8254
Apergis, N., & Payne, J. E. (2010). Renewable Energy Consumption and Economic Growth: Evidence from a Panel of OECD Countries. Energy Policy, 38(1), 656-660. http://dx.doi.org/10.1016/j.enpol.2009.09.002
Apergis, N., & Payne, J. E. (2012). Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model. Energy Economics, 34(3), 733-738. http://dx.doi.org/10.1016/j.eneco.2011.04.007
Asiedu, B. A., Hassan, A. A., & Bein, M. A. (2021). Renewable Energy, Non-Renewable Energy, and Economic Growth: Evidence from 26 European Countries. Environmental Science and Pollution Research International, 28(3), 11119-11128. http://dx.doi.org/10.1007/s11356-020-11186-0
Breusch, T. S., & Pagan, A. R. (1980). The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), 239-253. http://dx.doi.org/10.2307/2297111
Campbell, D., & Krol, A. (2023). Mitigation and Adaptation: How We Address Climate Change. December 2023. Retrieved from https://climate.mit.edu/explainers/mitigation-and-adaptation
De Hoyos, R. E., & Sarafidis, V. (2006). Testing for Cross-Sectional Dependence in Panel-Data Models. The Stata Journal, 6(4), 482-496. http://dx.doi.org/10.1177/1536867X0600600403
Dritsaki, C., & Dritsaki, M. (2014). Causal Relationship Between Energy Consumption, Economic Growth and CO2 Emissions: A Dynamic Panel Data Approach. International Journal of Energy Economics and Policy, 4(2), 125-136.
Energy Institute, E. I. (2024). Statistical Review of World Energy Fossil fuel consumption per capita
Population. Retrieved from https://www.energyinst.org/statistical-review
European Commission, E. U. (2019). The European Green Deal. September. Retrieved from https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal_en
European Commission, E. U. (2020). European Climate Law. Septmber. Retrieved from https://climate.ec.europa.eu/eu-action/european-climate-law_en
European Commission, E. U. (2021). Fit for 55: Delivering the EU’s 2030 Climate Targets on the Way to Climate Neutrality. COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, THE COUNCIL, THE EUROPEAN ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS EMPTY. Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52021DC0550
European Commission, E. U. (2022). REPowerEU Plan: Joint European Action for More Affordable, Secure and Sustainable Energy. The European Green Deal. March. Retrieved from https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal/repowereu-affordable-secure-and-sustainable-energy-europe_en
European Environment Agency, E. E. A. (2022). Trends and Projections in Europe 2023. Retrieved from https://www.eea.europa.eu/publications/trends-and-projections-in-europe-2023
Directive (EU) 2023/2413 of the European Parliament and of the Council of 18 October 2023 Amending Directive (EU) 2018/2001 as Regards the Promotion of Energy from Renewable Sources, 259 C.F.R. (2023).
Frees, E. W. (1995). Assessing Cross-Sectional Correlation in Panel Data. Journal of Econometrics, 69(2), 393-414. http://dx.doi.org/10.1016/0304-4076(94)01658-M
Friedman, M. (1937). The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance. Journal of the American Statistical Association, 32(200), 675-701. http://dx.doi.org/10.1080/01621459.1937.10503522
Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. Quarterly Journal of Economics, 110(2), 353-377.
Halilbegović, S., Pekmez, Z., & Rehman, A. (2023). Modeling the Nexus of Renewable and Non-Renewable Energy Consumption and Economic Progress in Southeastern Europe: A Panel Data Analysis. Sustainability (Basel), 15(12), 1-21. http://dx.doi.org/10.3390/su15129413
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for Unit Roots in Heterogeneous Panels. Journal of Econometrics, 115(1), 53-74. http://dx.doi.org/10.1016/S0304-4076(03)00092-7
IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Climate Change 2022. Retrieved from https://www.ipcc.ch/report/ar6/wg3/
Lee, C. C. (2005). Energy Consumption and GDP in Developing Countries: A Cointegrated Panel Analysis. Energy Economics, 27(3), 415-427. http://dx.doi.org/10.1016/j.eneco.2005.03.003
Lee, J. W. (2019). Long-run Dynamics of Renewable Energy Consumption on Carbon Emissions and Economic Growth in the European Union. International Journal of Sustainable Development and World Ecology, 26(1), 69-78. http://dx.doi.org/10.1080/13504509.2018.1492998
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit Root Rests in Panel Data: Asymptotic and Finite-Sample Properties. Journal of Econometrics, 108(1), 1-24. http://dx.doi.org/10.1016/S0304-4076(01)00098-7
Manta, A. G., Florea, N. M., Bădîrcea, R. M., Popescu, J., Cîrciumaru, D., & Doran, M. D. (2020). The nexus between carbon emissions, energy use, economic growth and financial development: Evidence from central and eastern European countries. Sustainability (Basel), 12(18), 1-21. http://dx.doi.org/10.3390/su12187747
Our World in Data, O. W. D. (2023). Population Based on Various Sources Statistical Review of World Energy Retrieved from https://ourworldindata.org/grapher/per-capita-renewables
Ozturk, A., & Acaravci, A. (2010). CO2 emissions, Energy Consumption and Economic Growth in Turkey. Renewable & Sustainable Energy Reviews, 14(9), 3220-3225. http://dx.doi.org/10.1016/j.rser.2010.07.005
Ozturk, A. M., & Al-Mulali, U. (2015). Investigating the Validity of the Environmental Kuznets Curve Hypothesis in Cambodia. Ecological Indicators, 57(October), 324-330. http://dx.doi.org/10.1016/j.ecolind.2015.05.018
Pejović, B., Karadžić, V., Dragašević, Z., & Backović, T. (2021). Economic Growth, Energy Consumption and CO2 Emissions in the Countries of the European Union and the Western Balkans. Energy Reports, 7(1), 2775-2783. http://dx.doi.org/10.1016/j.egyr.2021.05.011
Pesaran, M. H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. Cambridge Working Papers. Journal of Econometrics, 1240(1), 2-41. http://dx.doi.org/10.2139/ssrn.572504
Pesaran, M. H. (2007). A Simple Panel Unit Root Test in the Presence of Cross‐Section Dependence. Journal of Applied Econometrics, 22(2), 265-312. http://dx.doi.org/10.1002/jae.951
Rahman, M. M., & Velayutham, E. (2020). Renewable and Non-Renewable Energy Consumption-Economic Growth Nexus: New Evidence from South Asia. Renewable Energy, 147(8), 399-408. http://dx.doi.org/10.1016/j.renene.2019.09.007
Shahbaz, M., Hye, Q. M. A., Tiwari, A. K., & Leitão, N. C. (2013). Economic Growth, Energy Consumption, Financial Development, International Trade and CO2 Emissions in Indonesia. Renewable & Sustainable Energy Reviews, 25(September), 109-121. http://dx.doi.org/10.1016/j.rser.2013.04.009
Sharma, G. D., Tiwari, A. K., Erkut, B., & Mundi, H. S. (2021). Exploring the Nexus Between Non-Renewable and Renewable Energy Consumptions and Economic Development: Evidence from Panel Estimations. Renewable & Sustainable Energy Reviews, 146(C), 111152. http://dx.doi.org/10.1016/j.rser.2021.111152
Stern, D. I. (2004). The Rise and Fall of the Environmental Kuznets Curve. World Development, 32(8), 1419-1439. http://dx.doi.org/10.1016/j.worlddev.2004.03.004
World Bank, W. B. (2023). World Development Indicators. Data Bank. Retrieved from https://databank.worldbank.org/source/world-development-indicators
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Persefoni Polychronidou, Anna Triantafyllidou

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All accepted papers are published on an Open Access basis.
The Open Access License is based on the Creative Commons license.
The non-commercial use of the article will be governed by the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License as currently displayed on https://creativecommons.org/licenses/by-nc-nd/4.0
Under the Creative Commons Attribution-NonCommercial-NoDerivatives license, the author(s) and users are free to share (copy, distribute and transmit the contribution) under the following conditions:
1. they must attribute the contribution in the manner specified by the author or licensor,
2. they may not use this contribution for commercial purposes,
3. they may not alter, transform, or build upon this work.