Digital Economy and Artificial Intelligence in Subsahara Industrialization

Authors

Irene Tiako
University of Yaounde II
Bernard Nguekeng
University of Yaounde II
Pierre Tiako
CITRD Lab in Oklahoma City

Keywords:

Sub-Saharan Africa, GMM in System, Digital Economy, Artificial Intelligence, Industrialization

Synopsis

This is a Chapter in:

Book:
Smart and Sustainable Applications
Print ISBN 978-1-6692-0006-2
Online ISBN 978-1-6692-0005-5

Series:
Chronicle of Computing


Chapter Abstract:
This article examines the effects of the digital economy and artificial intelligence on the industrialization of sub-Saharan African economies. Thus, from a sample of 47 countries observed over the period 2003 – 2021, we estimate a model in panel data by the GMM system method. Overall, our results show that the digital economy and artificial intelligence contribute significantly to improving industrialization. In addition, they keep their robustness against the use of competing estimators. We suggest more investment in technological infrastructure, better human capital formation for a better contribution of the digital economy and artificial intelligence to industrial development.

Keywords:
Sub-Saharan Africa, GMM in System, Digital Economy, Artificial Intelligence, Industrialization

Cite this paper as:
Tiako I, Nguekeng B., Tiako P.F (2024) Digital Economy and Artificial Intelligence in Subsahara Industrialization.
In: Tiako P.F. (ed) Smart and Sustainable Applications. Chronicle of Computing. OkIP. https://doi.org/10.55432/978-1-6692-0005-5_4

Presented at:
The 2023 OkIP International Conference on Electronic Commerce and Applications (CECA) in Oklahoma City, Oklahoma, USA, and Online, on October 2-5, 2023

Contact:
Irene Tiako
tiakonga1@gmail.com

 

References

Coming Soon

Digital Economy and Artificial Intelligence

Published

January 26, 2024

Online ISSN

2831-350X

Print ISSN

2831-3496