Green Investment and Economic Growth in Sub-Saharan Africa: Short-Run Costs and Long-Run Gains

Authors

  • Abubakar Saad Bahuli Department of Economics, Faculty of Social Sciences, Federal University Lafia, Nasarawa State, Nigeria Author
  • Innocent Okwanya Department of Economics, Faculty of Social Sciences, Federal University Lafia, Nasarawa State, Nigeria Author
  • Adewale E. Adegoriola Department of Economics, Faculty of Social Sciences, Federal University Lafia, Nasarawa State, Nigeria Author

DOI:

https://doi.org/10.64229/ajky2v92

Keywords:

Economic Growth, Green, Investment, Sustainable Energy Transition, Decoupling Carbon Emissions from Economic Growth

Abstract

This study examines the effect of green investment on economic growth in sub-Saharan Africa (SSA) from 1990 to 2023. Annual panel time series data was utilized, focusing on Green Investment (GIN), Economic Growth (DGDP), Gross Capital Formation (DGCF), Labour Force (LBF), Foreign Direct Investment (FDI) and Carbon Emission (CO2). A second-generation panel stationarity and cross-sectional dependency test was employed to account for spillover effects between economic growth and green investment. The result of the study shows that in the short-run green investments has a significant effect on economic growth, with a coefficient of -17.6 meaning that in an initially green investment will reduce the output due to the cost of transition from carbon to zero carbon sources of energy. In contrast, the long-run results show that green investment positive affects economic growth, with a coefficient of 10.41 due to the decrease in the cost of production as a utilization zero emission sources of energy. Additionally, the Dumitrescu and Hurlin Granger causality test reveals bi-directional causality between green investment and economic growth. Based on the findings, the study recommends that countries should prioritize to enhance both green investment and economic growth in SSA, Improving Access to clean energy, establishing a regional green energy forum that would promote and protect sustainable development initiatives across the region.

References

[1]Adegoriola, A. E., & Adolphus, A. J. (2020). Energy utilization and pollution in Nigeria: A Case of carbon emission. Lafia Journal of Economics and Management Sciences, 5(2), 1-12.

[2]Chudik, A., Pesaran, M.H., (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Economics, 188 (2), 393– 420.

[3]Cui, L. (2022). How China is Going Green: Pollution controls, green investment and policy implications (Doctoral dissertation, University of Bath). 78-125.

[4]Dalgaard, T., Bienkowski, J. F., Bleeker, A., Dragosits, U., Drouet, J. L., Durand, P., ... & Cellier, P. (2021). Farm nitrogen balances in six European landscapes as an indicator for nitrogen losses and basis for improved management. Biogeosciences, 9(12), 5303-5321.

[5]Dogan, E., Hodžić, S., & Fatur Šikić, T. (2022). A way forward in reducing carbon emissions in environmentally friendly countries: the role of green growth and environmental taxes. Economic research-Ekonomska istraživanja, 35(1), 5879-5894.

[6]Dzwigol, H., Kwilinski, A., Lyulyov, O., & Pimonenko, T. (2023). The role of environmental regulations, renewable energy, and energy efficiency in finding the path to green economic growth. Energies, 16(7), 3090.

[7]Economic Outlook. (2022). National institute economic review 261. 2e.

[8]Erdoğan, E., Serin Oktay, D., Manga, M., Bal, H., & Algan, N. (2024). Examining the effects of renewable energy and economic growth on carbon emission in Canada: evidence from the nonlinear ARDL approaches. Evaluation Review, 48(1), 63-89.

[9]Hordofa, T. T., Vu, H. M., Maneengam, A., Mughal, N., & Liying, S. (2023). Does eco- innovation and green investment limit the CO2 emissions in China? Economic research-Ekonomska istraživanja, 36(1), 634-649.

[10]International Monetary Fund. Fiscal Affairs Dept. (2023). Tonga: Technical Assistance Report- Climate Change Policy Assessment. International Monetary Fund.

[11]Juodis, A., & Reese, S. (2022). The incidental parameters problem in testing for remaining cross- section correlation. Journal of Business & Economic Statistics, 40(3), 1191-1203.

[12]Kwilinski, A., Lyulyov, O., & Pimonenko, T. (2023). Greenfield Investment as a Catalyst of Green Economic Growth. Energies, 16(5), 2372.

[13]Kuznets, S. (1955) Economic Development and Income Inequality. American Economic Review, 49,1–28.

[14]Mo, Y., Ullah, S., & Ozturk, I. (2023). Green investment and its influence on green growth in high polluted Asian economies: Do financial markets and institutions matter?. Economic Research-Ekonomska Istraživanja, 36(2), 2140302.

[15]Mohammad, M. T., Luni, T., & Zaka, G. (2021). Renewable energy consumption and health outcomes: Evidence from global panel data analysis. Pakistan Journal of Commerce and Social Sciences (PJCSS), 15(1), 58-93.

[16]Moslehpour, M., Yin Chau, K., Du, L., Qiu, R., Lin, C. Y., & Batbayar, B. (2023). Predictors of green purchase intention toward eco-innovation and green products: Evidence from Taiwan. Economic research-Ekonomska istraživanja, 36(2).

[17]Muhammad, B., & Khan, M. K. (2021). Foreign Direct Investment Inflow, Economic Growth, Energy Consumption, Globalization, and Carbon Dioxide Emission around the World. Environmental Science and Pollution Research, 28(39), 55643-55654.

[18]Nguyen, D. H., & Khominich, I. P. (2024). Green investment and green economic development in Russia. Regional Statistics, 14(2). 45-68.

[19]Nguyen, T. T. H., Tu, Y. T., Diep, G. L., Tran, T. K., Tien, N. H., & Chien, F. (2023). Impact of natural resources extraction and energy consumption on the environmental sustainability in ASEAN countries. Resources Policy, 85, 103713.

[20]Nurkse, R. (1971). The theory of development and the idea of balanced growth. In Developing the underdeveloped countries. London: Palgrave Macmillan UK. PP. 115-128.

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

[22]Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical economics, 60(1), 13-50.

[23]Pesaran, M. H., & Xie, Y. (2021). A bias-corrected CD test for error cross-sectional dependence in panel data models with latent factors. arXiv preprint arXiv:2109.00408.

[24]Pesaran, M.H., (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74 (4), 967–1012.

[25]Pesaran, M.H., Tosetti, E., (2011). Large panels with common factors and spatial correlation. Journal of Economics, 161 (2), 182–202.

[26]Pettinger, L. (2019). Work as production. In What’s Wrong with Work? Policy Press. 27-48.

[27]Raihan, A., Tanchangya, T., Rahman, J., & Ridwan, M. (2024). The influence of agriculture, renewable energy, international trade, and economic growth on india's environmental sustainability. Journal of Environmental and Energy Economics, 37-53.

[28]Raihan, A., Tanchangya, T., Rahman, J., & Ridwan, M. (2024). The influence of agriculture, renewable energy, international trade, and economic growth on India's environmental sustainability. Journal of Environmental and Energy Economics, 37-53.

[29]Understanding the importance of sustainable ecological innovation in reducing carbon emissions: investigating the green energy demand, financial development, natural resource management, industrialization and urbanisation channels. Economic Research-Ekonomska istraživanja, 36(2). 275-308.

[30]Zheng, S., & Jin, S. (2023). Can enterprises in china achieve sustainable development through green investment? International Journal of Environmental Research and Public Health, 20(3), 1787.

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Published

2025-10-30

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