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The moderating role of green energy and energy-innovation in environmental kuznets: Insights from quantile-quantile analysis

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Abstract
Background. The recent environmental challenges in Africa emanated from global warming, human activity, limited access to electricity, and over-exploitation of natural resources, have contributed to the growth of carbon dioxide (CO2) emissions in the region. Objective. This paper empirically investigates the moderating role of green energy consumption and energy innovation in the environmental Kuznets’ curve for the Sub-Saharan African (SSA) region using data spanning from 1980 to 2018. Methods. A sample of 45 SSA countries for the period between 1980-2018 was studied. To solve for potential heteroscedasticity and endogeneity issues, we performed 2sls and panel quantile regression to give inference at various quantiles. Discussion. Empirical results confirm that green energy, energy innovation and natural resource abundance mitigate pollution in the SSA region. Besides, a threshold effect of energy innovation is estimated, which indicates the amount of energy innovation that SSA would require to reduce environment degradation. Our threshold model found that atleast 54 per cent of population need access to energy innovation before the region could be safe from environmental degradation. Conclusions. We conclude that investment in green energy, energy innovation, and conservation of natural resources will help to mitigate environmental degradation in SSA in the long run. Policies should be targeted towards encouraging the consumption of green energy, and more investment in energy innovation beyond the estimated threshold will save the region from pollution and its implications. Contribution. This study has contributed to the existing studies in different ways. This is the first study to explore the impact of green energy and energy innovation in SSA. We contribute to this line of research by implementing quantile techniques to examine the role of green energy and energy innovation in the environmental Kuznets’ hypothesis. In addition, our threshold estimation provides practical implications for policy applications. a more important driver during the disbandment of OPEC. Finally, we find that these newly identified shocks have distinct consequences for the U.S. economy: precautionary demand shocks reduce real GDP, while speculative demand shocks cause inflation.

Suggested Citation

  • Hammed, Oluwaseyi Musibau & Yanotti, Maria & Vespignani, Joaquin & Nepal, Rabindra, 2020. "The moderating role of green energy and energy-innovation in environmental kuznets: Insights from quantile-quantile analysis," Working Papers 2020-03, University of Tasmania, Tasmanian School of Business and Economics.
  • Handle: RePEc:tas:wpaper:32765
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    References listed on IDEAS

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    1. Abid Rashid Gill & Kuperan K. Viswanathan & Sallahuddin Hassan, 2018. "A test of environmental Kuznets curve (EKC) for carbon emission and potential of renewable energy to reduce green house gases (GHG) in Malaysia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1103-1114, June.
    2. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    3. George Halkos & Argyro Zisiadou, 2018. "Relating environmental performance with socioeconomic and cultural factors," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 69-88, January.
    4. Ogundipe, Adeyemi & Alege, Philip & Ogundipe, Oluwatomisin, 2014. "Income Heterogeneity and Environmental Kuznets Curve in Africa," MPRA Paper 55822, University Library of Munich, Germany.
    5. Monyei, Chukwuka G. & Adewumi, Aderemi O. & Obolo, Michael O. & Sajou, Barka, 2018. "Nigeria's energy poverty: Insights and implications for smart policies and framework towards a smart Nigeria electricity network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1582-1601.
    6. Inglesi-Lotz, Roula & Dogan, Eyup, 2018. "The role of renewable versus non-renewable energy to the level of CO2 emissions a panel analysis of sub- Saharan Africa’s Βig 10 electricity generators," Renewable Energy, Elsevier, vol. 123(C), pages 36-43.
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    1. Ni, Xiewen, 2023. "Natural resources and COP26 targets of developed countries: Pandemic perspective of natural resources extraction," Resources Policy, Elsevier, vol. 83(C).
    2. Uddin, Mirza Md Moyen & Sharif, Taimur & Islam, Abe Reza Mohammad & Abedin, Mohammad Zoynul, 2024. "Moderating impact of FDI on the growth-environment nexus in the pre-COVID-19 eras," Research in International Business and Finance, Elsevier, vol. 67(PA).

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    Keywords

    environmental kuznets curve; green energy; energy innovation; CO2 emission; SSA countries; and quantile-quantile regression.;
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