Cargando…
Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models
According to the World Health Organization, lower-income countries suffer from adverse health issues more than higher-income countries. Information and communication technologies (ICT) have the potential to resolve these issues. Previous research has analyzed the theoretical and empirical causal eff...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224393/ https://www.ncbi.nlm.nih.gov/pubmed/35742591 http://dx.doi.org/10.3390/ijerph19127338 |
_version_ | 1784733353090482176 |
---|---|
author | Khelfaoui, Issam Xie, Yuantao Hafeez, Muhammad Ahmed, Danish Degha, Houssem Eddine Meskher, Hicham |
author_facet | Khelfaoui, Issam Xie, Yuantao Hafeez, Muhammad Ahmed, Danish Degha, Houssem Eddine Meskher, Hicham |
author_sort | Khelfaoui, Issam |
collection | PubMed |
description | According to the World Health Organization, lower-income countries suffer from adverse health issues more than higher-income countries. Information and communication technologies (ICT) have the potential to resolve these issues. Previous research has analyzed the theoretical and empirical causal effects of ICT on infant mortality at country-specific and global levels for a short period of time. However, the causes and results could be different in low-income countries. The objective of this paper was to examine the deficiencies through the use of panel data from 27 low-income countries from 2000–2017. We applied the predictive mean matching technique to supplement the missing data and then used panel data techniques (i.e., fixed effects (FE) and pooled common correlated effects (PCCE)), and system-GMM to estimate the causal effects. We compared the consistency and the possible heterogeneity of previous results using a set of robust techniques and empirical tests. We found that internet access and, to a lesser extent, cellular mobile subscriptions, two of the three ICT variables used in our research, had a significant positive effect on reducing infant mortality in low-income countries. In conclusion, governments and policymakers of low-income countries should consider the availability of internet-related ICT innovations and make them nationally accessible to reduce health crises such as the infant mortality rate. |
format | Online Article Text |
id | pubmed-9224393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92243932022-06-24 Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models Khelfaoui, Issam Xie, Yuantao Hafeez, Muhammad Ahmed, Danish Degha, Houssem Eddine Meskher, Hicham Int J Environ Res Public Health Article According to the World Health Organization, lower-income countries suffer from adverse health issues more than higher-income countries. Information and communication technologies (ICT) have the potential to resolve these issues. Previous research has analyzed the theoretical and empirical causal effects of ICT on infant mortality at country-specific and global levels for a short period of time. However, the causes and results could be different in low-income countries. The objective of this paper was to examine the deficiencies through the use of panel data from 27 low-income countries from 2000–2017. We applied the predictive mean matching technique to supplement the missing data and then used panel data techniques (i.e., fixed effects (FE) and pooled common correlated effects (PCCE)), and system-GMM to estimate the causal effects. We compared the consistency and the possible heterogeneity of previous results using a set of robust techniques and empirical tests. We found that internet access and, to a lesser extent, cellular mobile subscriptions, two of the three ICT variables used in our research, had a significant positive effect on reducing infant mortality in low-income countries. In conclusion, governments and policymakers of low-income countries should consider the availability of internet-related ICT innovations and make them nationally accessible to reduce health crises such as the infant mortality rate. MDPI 2022-06-15 /pmc/articles/PMC9224393/ /pubmed/35742591 http://dx.doi.org/10.3390/ijerph19127338 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Khelfaoui, Issam Xie, Yuantao Hafeez, Muhammad Ahmed, Danish Degha, Houssem Eddine Meskher, Hicham Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models |
title | Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models |
title_full | Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models |
title_fullStr | Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models |
title_full_unstemmed | Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models |
title_short | Information Communication Technology and Infant Mortality in Low-Income Countries: Empirical Study Using Panel Data Models |
title_sort | information communication technology and infant mortality in low-income countries: empirical study using panel data models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224393/ https://www.ncbi.nlm.nih.gov/pubmed/35742591 http://dx.doi.org/10.3390/ijerph19127338 |
work_keys_str_mv | AT khelfaouiissam informationcommunicationtechnologyandinfantmortalityinlowincomecountriesempiricalstudyusingpaneldatamodels AT xieyuantao informationcommunicationtechnologyandinfantmortalityinlowincomecountriesempiricalstudyusingpaneldatamodels AT hafeezmuhammad informationcommunicationtechnologyandinfantmortalityinlowincomecountriesempiricalstudyusingpaneldatamodels AT ahmeddanish informationcommunicationtechnologyandinfantmortalityinlowincomecountriesempiricalstudyusingpaneldatamodels AT deghahoussemeddine informationcommunicationtechnologyandinfantmortalityinlowincomecountriesempiricalstudyusingpaneldatamodels AT meskherhicham informationcommunicationtechnologyandinfantmortalityinlowincomecountriesempiricalstudyusingpaneldatamodels |