Economic growth and the proliferation of ICT infrastructures
Which causes the other
Bibliographic Data
| ID | 15067912 |
|---|---|
| Authors | Atif Awad (0000-0003-1556-803X, University of Sharjah), Mohamed Albaity (0000-0002-0805-8392, University of Sharjah, corresponding author) |
| Year | 2024 |
| Volume | 37 |
| Issue | 1 |
| Publication date | 2024-01-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2024.2310100 |
| OpenAlex | W4393169174 |
| Language | EN |
| Citations received | 2 |
| References cited | 64 |
This study explored the causal association between Information and Communications Technology (ICT) infrastructure development, measured by an ICT index, and the economic growth of 42 African economies between 2000 and 2019. Whether ICT development has contributed to real per capita GDP growth or ICT infrastructure expansion has just been a consequence of growth in real per capita GDP has been overlooked in prior studies concerning Africa. The econometric techniques used to analyse the data included robust second-generation tools to investigate cross-sectional dependence, slope homogeneity, and panel causality. The findings detected significant independence between the variables across countries, the slope was heterogeneous, and there was a long-run association between all of the economies in the sample. Dumitrescu and Hurlin’s panel causality analysis indicated a unidirectional causal association between per capita income and the ICT index. The results also demonstrated that capital and employment were the leading causes of per capita GDP growth. The findings suggested that accelerating economic growth in developing economies was essential to promoting ICT investment
Business · Information and Communications Technology · World Wide Web · Computer Science · Economic Growth and Development · Economic Growth and Productivity · Fiscal Policy and Economic Growth
World Development Report 2016
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Testing Weak Cross-Sectional Dependence in Large Panels
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Testing for Granger non-causality in heterogeneous panels
General Diagnostic Tests for Cross Section Dependence in Panels
Unit root tests in panel data
Panel Cointegration
Testing slope homogeneity in large panels
A simple panel unit root test in the presence of cross‐section dependence
Investigating Causal Relations by Econometric Models and Cross-spectral Methods
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| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |