MODELLING THE EMISSIONS-INCOME RELATIONSHIP IN EAST AFRICAN COMMUNITY (EAC) COUNTRIES: A PANEL COINTEGRATION APPROACH

Authors

DOI:

https://doi.org/10.63356/ace.2025.014

Keywords:

environmental Kuznets curve (EKC), panel cointegration, pooled mean group (PMG), economic growth, greenhouse gas emissions, climate change

Abstract

This study examines the nexus between economic growth and carbon dioxide (CO2) emissions in East African Community (EAC) countries, with a focus on the role of renewable energy consumption. As EAC countries undergo rapid industrialisation and urbanisation, understanding the impact of economic growth on emissions is critical for shaping sustainable development policies. Using a panel cointegration approach, the study applies the environmental Kuznets curve (EKC) hypothesis to data from six EAC countries, namely, the Democratic Republic of the Congo, Burundi, Rwanda, Kenya, Uganda and Tanzania, for the period from 1990 to 2022. The panel autoregressive distributed lag (ARDL) model is employed, with the pooled mean group (PMG) estimator used to analyse both long-run and short-run dynamics. The results reveal a U-shaped relationship between economic growth and CO2 emissions, challenging the traditional inverted U-shaped EKC hypothesis. The findings suggest that while the early stages of economic growth reduce emissions, emissions begin to rise again beyond a certain income threshold, indicating a potential overdevelopment phase. Renewable energy consumption is found to significantly reduce CO2 emissions; however, its economic benefits are constrained by infrastructural and policy challenges. This study contributes to existing literature by integrating renewable energy into the EKC framework and offers valuable insights for policymakers seeking to balance economic growth with environmental sustainability. The findings emphasise the need for targeted policies to promote clean energy adoption, low-carbon industrialisation and stronger environmental governance across EAC countries.

References

Adeleye, B. N., Adedipe, D. B., & Okunlola, F. K. (2021). Heterogeneous impact of income on carbon emissions: Evidence from Africa. Energy Economics Letters, 1(1), 28-36.

Almeida, A., Duarte, G., & Pinheiro, M. (2024). Economic growth and carbon dioxide emissions: Exploring the Environmental Kuznets Curve in different income groups. Environmental Science and Pollution Research, 31(2), 2257-2270. https://doi.org/10.1007/s11356-024-2129-2

Arshed, N., Munir, M., & Iqbal, M. (2021). Sustainability assessment using STIRPAT approach to environmental quality: an extended panel data analysis. Environmental Science and Pollution Research, 28(14), 18163-18175.

Baidoo, D. A. (2023). Does the validity of the environmental Kuznets curve postulation empirically depend on the level of human development in Africa? American Journal of Environment Studies, 6(2), 64–91. https://doi.org/10.47672/ajes.1646

Boga, H. A., & Boga, S. F. (2024). Asymmetric effects of renewable energy, trade openness, and financial development on carbon emissions in top renewable energy consuming countries: Evidence from QARDL approach. Renewable Energy, 225, 120146. https://doi.org/10.1016/j.renene.2023.09.056

Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249-272.

Dogan, E., Turkekul, B., & Bilgili, F. (2020). Testing the environmental Kuznets curve hypothesis using ecological footprint: Evidence from BRICS countries. Environmental Science and Pollution Research, 27, 29117–29130. https://doi.org/10.1007/s11356-020-08757-3

Donor Committee for Enterprise Development (DCED). (2025). Green growth and private sector development: Stocktaking of DCED experiences. https://www.enterprise-development.org/-

Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic modelling, 29(4), 1450-1460.

Egbetokun, C. S., Siyanbola, W. O., & Matthew, O. A. (2020). Economic growth, energy consumption, and carbon emissions nexus in Nigeria: Empirical evidence from the autoregressive distributed lag approach. Energy, Sustainability and Society, 10(1), 1-16. https://doi.org/10.1186/s13705-020-0244-0

Farhani, S., Mrizak, S., Chaibi, A., & Rault, C. (2014). The environmental Kuznets curve and sustainability: A panel data analysis. Energy Policy, 71, 189-198.

Ganda, F. (2023). Environmental Kuznets curve: The role of institutional quality in Africa and South Africa. Environmental Science and Pollution Research, 30(35), 84018-84038. https://doi.org/10.1007/s11356-023-28618-3

Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 424–438.

Hlongwane, N. N., & Daw, O. M. (2022). Testing the Environmental Kuznets Curve Hold in South Africa. International Journal of Energy Economics and Policy, 12(4), 423-430. https://doi.org/10.32479/ijeep.12932

Njenga J. K. (2024). Energy-economic growth nexus long-run relation and causal inference. Contemporary Research in Business, Management and Economics, 8. https://doi.org/10.9734/bpi/crbme/v8/721

Lopez, L., & Weber, S. (2017). Testing for Granger causality in panel data. The Stata Journal, 17(4), 972-984.

Pedroni, P. (2004). Panel cointegration. Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory 20(3), 597-625.

Pesaran, M.H., Y. Shin, & R.J. Smith (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of American Statistical Association, 94(446), 621–634.

Pesaran, M. H. (2004). General diagnostic tests for cross-section dependence in panels. Cambridge Working Papers. Economics, 1240(1), 1.

Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric reviews, 34(6-10), 1089-1117.

Primer, C. (2002). A primer on environmental economics. Resources for the Future Press.

Pettinger, T. (2019). Testing the environmental Kuznets curve hypothesis: An empirical study for East African countries. International Journal of Environmental Studies, 76(6), 945-960. https://doi.org/10.1080/00207233.2019.1695445

Shafik, N. (1994). Economic development and environmental quality: An econometric analysis. Oxford Economic Papers, 46(4), 757-773. https://doi.org/10.1093/oep/46.4.757

Shivani, S. (2024). The role of renewable energy in moderating the economic growth and carbon emissions nexus. Environmental Science and Pollution Research, 31(10), 15504-15515. https://doi.org/10.1007/s11356-024-25219-1

Simbi, C. H., Yao, F., Zhang, J., Tenaw, D., Murekezi, J. S., Magati, M. T., Hirwa, H., Al-Sakkaf, A. S., Kayiranga, A., & Peng, J. (2024). Balancing growth and preservation: Unravelling Africa’s carbon-economic nexus through the environmental Kuznets curve. Heliyon, 10(20), e39269. https://doi.org/10.1016/j.heliyon.2024.e39269

Sun, Y., Hao, Q., Cui, C., Shan, Y., Zhao, W., Wang, D., Zhang, Z., & Guan, D. (2022). Emission accounting and drivers in East African countries. Applied Energy, 312, 118805. https://doi.org/10.1016/j.apenergy.2022.118805

Teklie, M. G., & Dogan, E. (2024). The role of renewable energy consumption and technological innovation in mitigating environmental pollution: Empirical evidence from Ethiopia. Environmental Science and Pollution Research, 31(11), 16868-16878. https://doi.org/10.1007/s11356-024-24906-9

The United Nations Conference on Trade and Development, UNCTAD. (2023). World Investment Report 2023: Investing in Sustainable Energy for All. United Nations.

United Nations. (2022). Africa Regional Collaborative Platform Annual Results Report 2021. https://unsdg.un.org/

Wang, Q., Li, Y., & Li, R. (2024). Rethinking the environmental Kuznets curve hypothesis across 214 countries: the impacts of 12 economic, institutional, technological, resource, and social factors. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-02736-9

Wang, Z., Zhang, B., & Zhang, Y. J. (2024). Does the Environmental Kuznets Curve exist? New evidence from 140 countries. Frontiers in Environmental Science, 11, 1287859. https://doi.org/10.3389/fenvs.2024.1287859

World Economic Forum. (2024). Global Risks Report 2024. https://www.weforum.org/publications/global-risks-report-2024

Yu, Y., Zhao, J., Musah, M., Owusu-Akomeah, M., Nkyi, J. A., Li, J., Ampong, G. O. A., Kumah, E. A., Cao, S., Xu, Y., Shi, Y., Wang, L., Hui, C., & Li, K. (2024a). Does industrialization promote the emission mitigation agenda of East Africa? a pathway toward environmental sustainability. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1305852

Yu, Y., Zhao, J., Musah, M., Owusu-Akomeah, M., Nkyi, J. A., Li, J., Ampong, G. O. A., Kumah, E. A., Cao, S., Xu, Y., Shi, Y., Wang, L., Hui, C., & Li, K. (2024b). Does industrialization promote the emission mitigation agenda of East Africa? A pathway toward environmental sustainability. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1305852

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Published

2025-12-22

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Review Scientific Paper

How to Cite

MODELLING THE EMISSIONS-INCOME RELATIONSHIP IN EAST AFRICAN COMMUNITY (EAC) COUNTRIES: A PANEL COINTEGRATION APPROACH. (2025). Acta Economica, 23(43), 81–109. https://doi.org/10.63356/ace.2025.014

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