Please use this identifier to cite or link to this item:
https://hdl.handle.net/10419/316064
Authors:
Year of Publication:
2022
Citation:
[Journal:] Review of Economics and Political Science (REPS) [ISSN:] 2631-3561 [Volume:] 7 [Issue:] 4 [Year:] 2022 [Pages:] 238-256
Publisher:
Emerald, Bingley
Abstract:
Purpose The entire world is now witnessing the Fourth Industrial Revolution and Artificial Intelligence (AI) is indeed altering the lives of the many in both developing and developed countries. Massive digital transformations are affecting the economies of those countries and are bringing with them many promised merits, as well as many challenges to face. This paper aims to examine the relationship between digital transformation (as a one facet of the fourth revolution and AI trends) on one side, and economic development, labor productivity and employment on the other side. Design/methodology/approach The paper analyzes different indices of digital transformation, and then uses the Digital Evolution Index (DEI) to study those relationships in a group of developing countries using feasible generalized least squares method (FGLS). Findings The results show a positive relationship between the digital transformation index and economic development, labor productivity and job employment. Females seem to gain more from digital transformation compared to males, as suggested by the positive relation with the first and the insignificant relation with the latter. The relationship with vulnerable employment is not significant; more evidence is still needed to judge whether digital transformation will have an impact upon the vulnerable employees in the economy. Research limitations/implications The paper focused on the impact of digital transformation upon total aggregate employment. Future research is still needed to examine the impact upon the structure of the labor market and the shift of occupations. Originality/value The paper aims to add to in the literature regarding the relationship between digital transformation, economic development, employment and productivity in the developing world. The implications of those relationships are of significant importance to policymakers regarding how much support should be given to encourage the digital transformation. At the same time, it shall also indicate how much social support policies are required - if any - to lessen the negative impact of digital transformation on the vulnerable groups inside the country. Another contribution is using a single composite index for digital transformation that is comparable across the chosen set of developing countries, instead of using single indices each capturing a different dimension of digital transformation.
Subjects:
Artificial intelligence
Developing countries
Digital transformation
Economic development
FGLS
Labor productivity
Developing countries
Digital transformation
Economic development
FGLS
Labor productivity
JEL:
O1
O2
O3
O4
O2
O3
O4
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Document Type:
Article
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