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Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa

Author

Listed:
  • Awa Traoré

    (Dakar, Senegal)

  • Simplice A. Asongu

    (Johannesburg, South Africa)

Abstract

Purpose – A promising solution to meet the challenge of sustainability and ensure the protection of the environment consists in acting considerably on the adoption and use of new information and communication technologies. The latter can act on the protection of the environment; completely change manufacturing processes into energy-efficient, eco-friendly techniques or influence institutions and governance. The article attempts to cover shortcomings in the literature by providing a couple of theoretical frameworks and grounded empirical proofs for the dissemination of green technologies and the interaction of the latter with institutional quality. Design/methodology/approach – The sample is made up of 43 African countries covering the period 2000-2020 and a panel VAR modeling approach is employed. Findings – Our results stipulate that an attenuation of CO2 emissions amplifies the diffusion of digital technologies (mobile telephones and internet). Efficiency in the institutional quality of African countries is mandatory for environmental preservation. Moreover, the provision of a favorable institutional framework in favor of renewable energy helps to stimulate environmental performance in African states. Originality/value –This study complements the extant literature by assessing nexuses between green technology and CO2 emissions in environmental sustainability.

Suggested Citation

  • Awa Traoré & Simplice A. Asongu, 2023. "Diffusion of Green technology, Governance and CO2 emissions in Sub-Saharan Africa," Journal of Africa SEER Centre(ASC) 23/014, Africa SEER Centre(ASC).
    • Handle: RePEc:dbm:wpaper:23/014
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    References listed on IDEAS

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    Cited by:

    1. Ullah, Sami & Lin, Boqiang, 2024. "Green energy dynamics: Analyzing the environmental impacts of renewable, hydro, and nuclear energy consumption in Pakistan," Renewable Energy, Elsevier, vol. 232(C).
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    3. Lin, Boqiang & Liu, Zhiwei, 2024. "Optimal coal power phase-out pathway considering high renewable energy proportion: A provincial example," Energy Policy, Elsevier, vol. 188(C).

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    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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