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The Dilemmas of Relevance: Exploring the role of Natural resources and the Carbon Kuznets Curve hypothesis in managing climate crisis in Africa

Author

Listed:
  • Olatunji A. Shobande

    (University of Aberdeen, UK)

  • Simplice A. Asongu

    (Yaoundé, Cameroon)

Abstract
The study examines the role of natural resources and the carbon emission Kuznets curve (CKC) in managing the climate crisis in Africa, using annual series data from the World Bank from 1980 to 2019. The empirical strategy is based on the second-generation panel techniques that account for cross-sectional dependency in the series. Specifically, the empirical evidence is based on the Westerlund (2017) panel cointegration test, panel augmented mean group (AMG), common correlated effects mean group (CCEMG) and the vector autoregressive-vector error correction (VAR) approach. Evidence from the panel analysis confirmed the existence of CKC U-shaped nexus in Africa, but the country-level results are mixed. Furthermore, results using the vector autoregressive-vector correction model indicate possible convergence among the variables across the African countries. Also, natural resource unidirectionally Granger-causes carbon emissions. We suggest the consideration of environmental factors in the utilisation of natural resources. Similarly, energy efficiency is crucial to decouple carbon from energy usage. Our results highlight the importance of the effective and efficient management of natural resources, and energy efficiency in mitigating the aftermath of carbon emissions and preventing a climate crisis in Africa.

Suggested Citation

  • Olatunji A. Shobande & Simplice A. Asongu, 2022. "The Dilemmas of Relevance: Exploring the role of Natural resources and the Carbon Kuznets Curve hypothesis in managing climate crisis in Africa," Working Papers of the African Governance and Development Institute. 22/077, African Governance and Development Institute..
    • Handle: RePEc:agd:wpaper:22/077
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    Keywords

    Carbon Kuznets Curve; carbon emission; Natural resource; climate crisis; Time series analysis; Africa;
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