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Does information and communication technologies affect economic complexity?

Information and communication technology (ICT) and economic complexity are two concepts that have been extensively used in the recent literature. However, studies linking these two concepts are still at a premature stage and few existing studies have focussed on the role of the internet in a short-t...

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Autores principales: Oumbé, Honoré Tekam, Djeunankan, Ronald, Ndzana, Alain Mekia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066994/
https://www.ncbi.nlm.nih.gov/pubmed/37034149
http://dx.doi.org/10.1007/s43546-023-00467-8
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author Oumbé, Honoré Tekam
Djeunankan, Ronald
Ndzana, Alain Mekia
author_facet Oumbé, Honoré Tekam
Djeunankan, Ronald
Ndzana, Alain Mekia
author_sort Oumbé, Honoré Tekam
collection PubMed
description Information and communication technology (ICT) and economic complexity are two concepts that have been extensively used in the recent literature. However, studies linking these two concepts are still at a premature stage and few existing studies have focussed on the role of the internet in a short-term context. Indeed, ICT measures the percentage of the population with access to the internet while economic complexity quantifies the set of productive capabilities and know-how embedded in the production process. This study aims to examine for the first time the long-term effect of ICT (quality and quantity) on economic complexity in a large panel of 112 countries over the period 1986–2017. The detailed analysis explores the long run and directional relationships using the homogeneity test, the cross-sectional dependence test, stationary tests in the presence of cross-sectional dependence, the panel cointegration test, dynamic OLS (DOLS), fully modified OLS (FMOLS), and the Granger panel causality test. The study finds long-run relationships between ICT, economic complexity, per capita GDP, government spending, and natural resources. Cointegration regression shows that the quality and especially the quantity of ICT, economic growth, and government spending have a positive and significant effect on economic complexity in the long run. Similarly, the results show that natural resource rent significantly impedes economic complexity. Finally, the results of the Granger causality test confirm the existence of a bidirectional relationship between ICT and economic complexity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43546-023-00467-8.
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spelling pubmed-100669942023-04-03 Does information and communication technologies affect economic complexity? Oumbé, Honoré Tekam Djeunankan, Ronald Ndzana, Alain Mekia SN Bus Econ Original Article Information and communication technology (ICT) and economic complexity are two concepts that have been extensively used in the recent literature. However, studies linking these two concepts are still at a premature stage and few existing studies have focussed on the role of the internet in a short-term context. Indeed, ICT measures the percentage of the population with access to the internet while economic complexity quantifies the set of productive capabilities and know-how embedded in the production process. This study aims to examine for the first time the long-term effect of ICT (quality and quantity) on economic complexity in a large panel of 112 countries over the period 1986–2017. The detailed analysis explores the long run and directional relationships using the homogeneity test, the cross-sectional dependence test, stationary tests in the presence of cross-sectional dependence, the panel cointegration test, dynamic OLS (DOLS), fully modified OLS (FMOLS), and the Granger panel causality test. The study finds long-run relationships between ICT, economic complexity, per capita GDP, government spending, and natural resources. Cointegration regression shows that the quality and especially the quantity of ICT, economic growth, and government spending have a positive and significant effect on economic complexity in the long run. Similarly, the results show that natural resource rent significantly impedes economic complexity. Finally, the results of the Granger causality test confirm the existence of a bidirectional relationship between ICT and economic complexity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43546-023-00467-8. Springer International Publishing 2023-04-01 2023 /pmc/articles/PMC10066994/ /pubmed/37034149 http://dx.doi.org/10.1007/s43546-023-00467-8 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Oumbé, Honoré Tekam
Djeunankan, Ronald
Ndzana, Alain Mekia
Does information and communication technologies affect economic complexity?
title Does information and communication technologies affect economic complexity?
title_full Does information and communication technologies affect economic complexity?
title_fullStr Does information and communication technologies affect economic complexity?
title_full_unstemmed Does information and communication technologies affect economic complexity?
title_short Does information and communication technologies affect economic complexity?
title_sort does information and communication technologies affect economic complexity?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066994/
https://www.ncbi.nlm.nih.gov/pubmed/37034149
http://dx.doi.org/10.1007/s43546-023-00467-8
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