Evidence map›Paper›PMID 36588919›Full record

ArticleQuality & quantity2022

Information and Communication Technology (ICT) and youth unemployment in Africa.

Ahamuefula E Ogbonna, Idris A Adediran, Tirimisiyu F Oloko, Kazeem O Isah

Open access · bronzeAbstract read
In one paragraph

Article in Quality & quantity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 18 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Ahamuefula E OgbonnaCentre for Econometrics and Applied Research (CEAR), Ibadan, Nigeria.ORCID 0000-0002-9127-5231
Idris A AdediranCentre for Econometrics and Applied Research (CEAR), Ibadan, Nigeria.
Tirimisiyu F OlokoCentre for Econometrics and Applied Research (CEAR), Ibadan, Nigeria.
Kazeem O IsahCentre for Econometrics and Applied Research (CEAR), Ibadan, Nigeria.
University of Ibadan · NGKogi State University · NGObafemi Awolowo University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Africa is lagging in infrastructural development including Information and Communication Technology (ICT). As there are rising employment opportunities in the ICT-intensive industries globally including Africa, enhanced knowledge and use of ICT may tend to reduce youth unemployment in Africa. Thus, this study investigates the effect of ICT on youth unemployment in Africa using a sample of 41 African countries between 2003 and 2018. The study employs a dynamic Generalized Method of Moment (GMM) approach and constructs a composite ICT index to combine key indicators of ICT, using the principal component approach. We also account for the interactive role of education in the ICT-youth unemployment nexus. Relying on the Phillip curve theoretical model, the effect of inflation, physical capital accumulation, level of corruption, and economic growth are also examined. The results show that youth unemployment in Africa can be reduced by higher ICT deployment and usage, which confirms our hypothesis in this study. There is also evidence that education enhances the potential of ICT usage to reduce youth unemployment. Furthermore, we find that the Phillip curve hypothesis holds, as the inflation rate has a negative effect on youth unemployment. More so, there is evidence that youth unemployment in Africa can be reduced by higher physical capital accumulation, lower level of corruption, and higher economic growth. With falling economic growth and looming economic recession in many African countries, governments would need to revise educational curricula to include ICT-based training to reduce the level of youth unemployment in the medium to long term period.

Indexed as

AfricaEducationGeneralized method of momentICTYouth unemployment

Identifiers

PMID36588919
PMCPMC9792931
OpenAlexW4313255883

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.