The Effect of Real GDP Per Capita, Eco-Innovation, Solar Energy, and Foreign Direct Investment on CO₂ Emissions in G-20 Countries
DOI:
https://doi.org/10.70716/ecoma.v4i3.528Keywords:
Environmental Kuznets Curve, Eco-innovation, Solar Energy, Foreign Direct Investment, Renewable EnergyAbstract
This study investigates the interplay between real GDP per capita, solar energy, foreign direct investment (FDI), and eco-innovation on carbon emissions (CO₂) within G20 nations. It aims to understand how economic development and financial liberalization influence environmental outcomes. The research employs a quantitative approach using panel data for 19 G20 countries from 2000 to 2022. The analysis uses panel data regression (Fixed and Random Effects), Autoregressive Distributed Lag–Pooled Mean Group (ARDL-PMG) and ARDL-Mean Group (ARDL-MG) models, and multivariate polynomial regression to capture non-linear relationships, particularly the Environmental Kuznets Curve (EKC). Real GDP per capita has a significant positive impact on CO₂ emissions, indicating economic growth remains an emissions driver. However, country-group analysis reveals patterns: developed G20 nations exhibit a long-run negative relationship between GDP per capita and emissions, validating the EKC hypothesis. In contrast, developing nations show a consistently positive relationship. Renewable energy consumption consistently reduces emissions across all groups. Eco-innovation and FDI show complex, non-linear effects, often increasing emissions in the short run but demonstrating potential for long-term reductions. This research integrates economic variables and renewable energy usage with environmental outcomes within a unified framework for the heterogeneous G20 bloc. It compares developed and developing economies, moving beyond aggregate results to offer nuanced insights. The study underscores the need to couple economic growth strategies with robust environmental regulations. It highlights renewable energy as an immediate tool for emission reduction. It suggests that the environmental benefits of eco-innovation and FDI depend on supportive policies and long-term investment in green technologies.
Downloads
References
Acevedo-Ramos, J. A., Valencia, C. F., & Valencia, C. D. (2023). The Environmental Kuznets Curve hypothesis for Colombia: Impact of economic development on greenhouse gas emissions and ecological footprint. Sustainability, 15(4). https://doi.org/10.3390/su15043738
Adekoya, O. B., Olabode, J. K., & Rafi, S. K. (2021). Renewable energy consumption, carbon emissions and human development: Empirical comparison of the trajectories of world regions. Renewable Energy, 179, 1836–1848. https://doi.org/10.1016/j.renene.2021.08.019
Ajide, K. B., & Ibrahim, R. L. (2021). Threshold effects of capital investments on carbon emissions in G20 economies. Environmental Science and Pollution Research, 28(29), 39052–39070. https://doi.org/10.1007/s11356-021-13046-x
Akram, R., Ibrahim, R. L., Wang, Z., Adebayo, T. S., & Irfan, M. (2023). Neutralizing the surging emissions amidst natural resource dependence, eco-innovation, and green energy in G7 countries: Insights for global environmental sustainability. Journal of Environmental Management, 344, 118560. https://doi.org/10.1016/j.jenvman.2023.118560
Alexiou, C. (2025). Patent systems and carbon dioxide emissions: Short and long run perspectives on economic development and sustainability. Sustainable Development, 33(6), 8768–8785. https://doi.org/10.1002/sd.70130
Allard, A., Takman, J., Uddin, G. S., & Ahmed, A. (2018). The N-shaped Environmental Kuznets Curve: An empirical evaluation using a panel quantile regression approach. Environmental Science and Pollution Research, 25(6), 5848–5861. https://doi.org/10.1007/s11356-017-0907-0
Al Numan, A., Tahrim, F., Esquivias, M. A., Biswas, M. K., & Primanthi, M. R. (2025). Testing the pollution haven and inverted N-shaped EKC hypotheses in the ASEAN region: The impact of FDI and energy mix on environmental quality. Environmental and Sustainability Indicators, 26, 100698. https://doi.org/10.1016/j.indic.2025.100698
Aliani, K., Borgi, H., Alessa, N., Hamza, F., & Albitar, K. (2024). The impact of green innovation and renewable energy on CO₂ emissions in G7 nations. Heliyon, 10, e31142. https://doi.org/10.1016/j.heliyon.2024.e31142
Alqahtani, A., Selmi, R., & Hongbing, O. (2021). The financial impacts of jump processes in the crude oil price: Evidence from G20 countries in the pre- and post-COVID-19. Resources Policy, 72, 102075. https://doi.org/10.1016/j.resourpol.2021.102075
Apergis, N., Jebli, M., & Youssef, S. (2018). Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries. Renewable Energy, 127, 1011–1016. https://doi.org/10.1016/j.renene.2018.05.043
Bahri, E. N. A., & Wye, C.-K. (2024). Nonlinearity in energy–employment nexus: The role of FDI, trade and growth in ASEAN-5. Journal of Social and Economic Development, 26, 963–991. https://doi.org/10.1007/s40847-023-00288-3
Bekun, F. V., Gyamfi, B. A., Olasehinde-Williams, G., & Yadav, A. (2024). Revisiting the FDI–CO₂ emissions nexus within the N-EKC framework: Evidence from South Asian countries. Sustainable Futures, 8, 100357. https://doi.org/10.1016/j.sftr.2024.100357
Bergougui, B., Doğan, B., Cobbold, E. Y., Soltani, H., Sulimany, H. G. H., & Ebrahim, E. E. M. (2025). Who benefits from green tech? How eco-innovation and process eco-innovation shape emissions inequality across G7 economies. Sustainable Development, 1–21. https://doi.org/10.1002/sd.70525
Can, M., & Ahmed, Z. (2023). Towards sustainable development in the European Union countries: Does economic complexity affect renewable and non-renewable energy consumption? Sustainable Development, 31(1), 439–451. https://doi.org/10.1002/sd.2402
Chen, C., Pinar, M., & Stengos, T. (2022). Renewable energy and CO₂ emissions: New evidence with the panel threshold model. Renewable Energy, 194, 117–128. https://doi.org/10.1016/j.renene.2022.05.095
Cheng, C., Ren, X., & Wang, Z. (2019). The impact of renewable energy and innovation on carbon emission: An empirical analysis for OECD countries. Energy Procedia, 158, 3506–3512. https://doi.org/10.1016/j.egypro.2019.01.919
Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393–420. https://doi.org/10.1016/j.jeconom.2015.03.007
Copeland, B. R., & Taylor, M. S. (2004). Trade, growth, and the environment. Journal of Economic Literature, 42(1), 7–71. https://doi.org/10.1257/002205104773558047
Darwin, R., Sari, D. W., & Heriqbaldi, U. (2022). Dynamic linkages between energy consumption, foreign direct investment, and economic growth: A new insight from developing countries in Asia. International Journal of Energy Economics and Policy. https://doi.org/10.32479/ijeep.13552
Deka, A., Ozdeser, H., & Seraj, M. (2023). The effect of GDP, renewable energy and total energy supply on carbon emissions in the EU-27: New evidence from panel GMM. Environmental Science and Pollution Research, 30(10), 28206–28216. https://doi.org/10.1007/s11356-022-24188-x
Eberhardt, M., & Teal, F. (2011). Econometrics for grumblers: A new look at the literature on cross-country growth empirics. Journal of Economic Surveys, 25(1), 109–155. https://doi.org/10.1111/j.1467-6419.2010.00624.x
Erdoğan, S., Yıldırım, S., Yıldırım, D. Ç., & Gedikli, A. (2020). The effects of innovation on sectoral carbon emissions: Evidence from G20 countries. Journal of Environmental Management, 267, 110637. https://doi.org/10.1016/j.jenvman.2020.110637
Etokakpan, M. U., Akadiri, S. S., & Alola, A. A. (2021). Natural gas consumption–economic output and environmental sustainability target in China: An N-shaped hypothesis inference. Environmental Science and Pollution Research, 28, 37741–37753. https://doi.org/10.1007/s11356-021-13329-3
Global Carbon Project. (2025). Global Carbon Budget 2025.
Grossman, G., & Krueger, A. (1991). Environmental impact of a North American free trade agreement. National Bureau of Economic Research.
Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill/Irwin.
Güney, T., & İnce, D. (2024). Solar energy and CO₂ emissions: CCEMG estimations for 26 countries. Journal of the Knowledge Economy, 15(1), 2383–2400. https://doi.org/10.1007/s13132-023-01337-2
Horbach, J., Rammer, C., & Rennings, K. (2012). Determinants of eco-innovations by type of environmental impact: The role of regulatory push/pull, technology push, and market pull. Ecological Economics, 78, 112–122. https://doi.org/10.1016/j.ecolecon.2012.04.005
International Energy Agency. (2023). World energy outlook.
International Renewable Energy Agency. (2023). World energy transitions outlook 2023: 1.5°C pathway.
Intergovernmental Panel on Climate Change. (2022). Climate change 2022: Mitigation of climate change: Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. https://doi.org/10.1017/9781009157926
Kaika, D., & Zervas, E. (2013). The Environmental Kuznets Curve (EKC) theory: Part A: Concept, causes, and the CO₂ emissions case. Energy Policy, 62, 1392–1402. https://doi.org/10.1016/j.enpol.2013.07.131
Kemp, R., & Pearson, P. (2007). Final report of the project MEI (Measuring Eco-Innovation). European Commission, DG Research.
Li, Y., Zhuang, X., Wang, J., & Dong, Z. (2021). Analysis of the impact of COVID-19 pandemic on G20 stock markets. The North American Journal of Economics and Finance, 58, 101530. https://doi.org/10.1016/j.najef.2021.101530
Lorente, D. B., & Álvarez-Herranz, A. (2016). Economic growth and energy regulation in the Environmental Kuznets Curve. Environmental Science and Pollution Research, 23(16), 16478–16494. https://doi.org/10.1007/s11356-016-6773-3
Mahadevan, R., & Sun, Y. (2020). Effects of foreign direct investment on carbon emissions: Evidence from China and its Belt and Road countries. Journal of Environmental Management, 276, 111321. https://doi.org/10.1016/j.jenvman.2020.111321
Martial, A. A. A., Dechun, H., Voumik, L. C., Islam, M. J., & Majumder, S. C. (2023). Investigating the influence of tourism, GDP, renewable energy, and electricity consumption on carbon emissions in low-income countries. Energies, 16(12).
McCoskey, S., & Kao, C. (1998). A residual-based test of the null of cointegration in panel data. Econometric Reviews, 17(1), 57–84. https://doi.org/10.1080/07474939808800403
Mochklas, M., Syofya, H., Kundori, K., Arianti, F., Paramitasari, N., & Hafizhfitrianna. (2022). Indonesia's G20 economy in 2022: Management strategy and challenges. Scopus, 17(6), 2099–2104.
Mukhtarov, S., Aliyev, F., Aliyev, J., & Ajayi, R. (2023). Renewable energy consumption and carbon emissions: Evidence from an oil-rich economy. Sustainability, 15(1), 1–12. https://doi.org/10.3390/su15010134
Nguyen, K. H., & Kakinaka, M. (2019). Renewable energy consumption, carbon emissions, and development stages: Some evidence from panel cointegration analysis. Renewable Energy, 132, 1049–1057. https://doi.org/10.1016/j.renene.2018.08.069
Nica, I., Georgescu, I., & Kinnunen, J. (2025). Economic growth, innovation, and CO₂ emissions: Analyzing the Environmental Kuznets Curve and the Innovation Claudia Curve in BRICS countries. Sustainability, 17, 3507. https://doi.org/10.3390/su17083507
OECD. (2011). Fostering innovation for green growth. OECD Publishing.
Pata, U. K., Dam, M. M., & Kaya, F. (2023). How effective are renewable energy, tourism, trade openness, and foreign direct investment on CO₂ emissions? An EKC analysis for ASEAN countries. Environmental Science and Pollution Research, 30, 14821–14837. https://doi.org/10.1007/s11356-022-23160-z
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. https://doi.org/10.1002/jae.951
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634. https://doi.org/10.1080/01621459.1999.10474156
Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. https://doi.org/10.1016/j.jeconom.2007.05.010
Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6–10), 1089–1117. https://doi.org/10.1080/07474938.2014.956623
Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967–1012. https://doi.org/10.1111/j.1468-0262.2006.00692.x
Rennings, K. (2000). Redefining innovation: Eco-innovation research and the contribution from ecological economics. Ecological Economics, 32(2), 319–332. https://doi.org/10.1016/S0921-8009(99)00112-3
Saidi, K., & Omri, A. (2020). The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries. Environmental Research, 186, 109567. https://doi.org/10.1016/j.envres.2020.109567
Saud, S., Haseeb, A., Zaidi, S. A. H., Khan, I., & Li, H. (2024). Moving towards green growth? Harnessing natural resources and economic complexity for sustainable development through the lens of the N-shaped EKC framework for the European Union. Resources Policy, 91, 104804. https://doi.org/10.1016/j.resourpol.2024.104804
Saqib, N., Ozturk, I., Usman, M., Sharif, A., & Razzaq, A. (2023). Pollution haven or halo? How European countries leverage FDI, energy, and human capital to alleviate their ecological footprint. Gondwana Research, 116, 136–148. https://doi.org/10.1016/j.gr.2022.12.018
Sharma, R., Sinha, A., & Kautish, P. (2020). Does renewable energy consumption reduce ecological footprint? Evidence from eight developing countries of Asia. Munich Personal RePEc Archive (MPRA Paper No. 104277).
Sinha, A., Shahbaz, M., & Sengupta, T. (2018). Renewable energy policies and contradictions in causality: A case of Next 11 countries. Journal of Cleaner Production, 197, 73–84. https://doi.org/10.1016/j.jclepro.2018.06.219
Stern, D. I. (2004). The rise and fall of the Environmental Kuznets Curve. World Development, 32(8), 1419–1439. https://doi.org/10.1016/j.worlddev.2004.03.004
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Yao, X., & Tang, X. (2021). Does financial structure affect CO₂ emissions? Evidence from G20 countries. Finance Research Letters, 41, 101791. https://doi.org/10.1016/j.frl.2020.101791
Zeraibi, A., Radulescu, M., Khan, M. K., Hafeez, M., & Jahanger, A. (2024). Analyzing the linkage between public debt, renewable electricity output, and CO₂ emissions in emerging economies: Does the N-shaped Environmental Kuznets Curve exist? Energy & Environment, 35(5), 2407–2430. https://doi.org/10.1177/0958305X231151678
Zhao, W., Liu, Y., & Huang, L. (2022). Estimating environmental Kuznets Curve in the presence of eco-innovation and solar energy: An analysis of G-7 economies. Renewable Energy, 189, 304–314. https://doi.org/10.1016/j.renene.2022.02.120
Zhou, A., & Li, J. (2019). Heterogeneous role of renewable energy consumption in economic growth and emissions reduction: Evidence from a panel quantile regression. Environmental Science and Pollution Research, 26(22), 22575–22595. https://doi.org/10.1007/s11356-019-05447-w
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Amadeus Okky Suryono, Magdalena Triasih Dumauli

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.








