IDEAS home Printed from https://ideas.repec.org/h/spr/csrchp/978-3-031-80797-8_10.html
   My bibliography  Save this book chapter

Transforming Africa Byte by Byte: AI’s Role in Achieving SDG7

In: Global Perspectives on Climate Change, Inequality, and Multinational Corporations

Author

Listed:
  • Hicham Nachit

    (ESCA Ecole de Management)

  • Rachid Hachad

    (Hassan II University of Casablanca)

  • Saad Laraqui

    (ESCA Ecole de Management)

  • Miguel M. Torres

    (University of Kent)

Abstract

This chapter examines the transformative potential of AI in advancing SDG 7 to ensure access to affordable, reliable, sustainable, and modern energy for all in Africa. A review of extant literature establishes a foundation for comprehending the global progression of AI technologies and their specific applications in this industry. The chapter elucidates Africa’s distinctive challenges and opportunities and contrasts the continent’s AI adoption rates in renewable energy with those of other regions. Central to this discourse is the Moroccan Agency for Sustainable Energy (MASEN) case study, which exemplifies the integration of AI into renewable energy strategies.

Suggested Citation

  • Hicham Nachit & Rachid Hachad & Saad Laraqui & Miguel M. Torres, 2025. "Transforming Africa Byte by Byte: AI’s Role in Achieving SDG7," CSR, Sustainability, Ethics & Governance, in: João Bento & Miguel M. Torres (ed.), Global Perspectives on Climate Change, Inequality, and Multinational Corporations, pages 227-260, Springer.
  • Handle: RePEc:spr:csrchp:978-3-031-80797-8_10
    DOI: 10.1007/978-3-031-80797-8_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Artificial Intelligence; SDG7; Renewable energy; Africa;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:csrchp:978-3-031-80797-8_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.