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Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches

Although ICT has played a critical role in the socio-economic growth of human cultures, it has also brought with it significant environmental risks. Nevertheless, scholars remain divided on this topic; some believe that ICT has had a positive influence on the quality of the environment, while others...

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Autores principales: Adebayo, Tomiwa Sunday, Agyekum, Ephraim Bonah, Altuntaş, Mehmet, Khudoyqulov, Sadriddin, Zawbaa, Hossam M., Kamel, Salah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933682/
https://www.ncbi.nlm.nih.gov/pubmed/35313485
http://dx.doi.org/10.1016/j.heliyon.2022.e09108
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author Adebayo, Tomiwa Sunday
Agyekum, Ephraim Bonah
Altuntaş, Mehmet
Khudoyqulov, Sadriddin
Zawbaa, Hossam M.
Kamel, Salah
author_facet Adebayo, Tomiwa Sunday
Agyekum, Ephraim Bonah
Altuntaş, Mehmet
Khudoyqulov, Sadriddin
Zawbaa, Hossam M.
Kamel, Salah
author_sort Adebayo, Tomiwa Sunday
collection PubMed
description Although ICT has played a critical role in the socio-economic growth of human cultures, it has also brought with it significant environmental risks. Nevertheless, scholars remain divided on this topic; some believe that ICT has had a positive influence on the quality of the environment, while others believe that ICT has created major environmental issues. Hence, this research is another effort to assess the effects of ICT on CO(2) emissions in the top 10 ICT nations (Denmark, Japan, Luxemburg, South Korea, Netherlands, Iceland, Norway, Sweden, Switzerland, and the United Kingdom) using a dataset from the period between 1986Q1 and 2019Q4. All prior studies have established symmetric association between ICT and CO(2). As a result, we applied the novel non-parametric approaches (quantile-on-quantile regression and Granger causality in quantile) to assess this association. The findings from the QQR uncovered that in the majority of the quantiles, for Denmark, Japan, Luxemburg, Netherland, Norway, Sweden, United Kingdom and Switzerland, the effect of ICT on CO(2) emissions is negative, while in the majority of the quantiles, the effect of ICT on CO(2) emissions is positive for the Netherlands, South Korea, and Iceland. Furthermore, we applied the novel Granger causality in the quantiles approach and the outcomes provided evidence of bidirectional causality between CO(2) emissions and ICT in all the selected nations. The study proposes that sustainable ICT should be used to improve carbon reduction and energy savings potential by optimizing other industries, including managing and monitoring energy usage.
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spelling pubmed-89336822022-03-20 Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches Adebayo, Tomiwa Sunday Agyekum, Ephraim Bonah Altuntaş, Mehmet Khudoyqulov, Sadriddin Zawbaa, Hossam M. Kamel, Salah Heliyon Research Article Although ICT has played a critical role in the socio-economic growth of human cultures, it has also brought with it significant environmental risks. Nevertheless, scholars remain divided on this topic; some believe that ICT has had a positive influence on the quality of the environment, while others believe that ICT has created major environmental issues. Hence, this research is another effort to assess the effects of ICT on CO(2) emissions in the top 10 ICT nations (Denmark, Japan, Luxemburg, South Korea, Netherlands, Iceland, Norway, Sweden, Switzerland, and the United Kingdom) using a dataset from the period between 1986Q1 and 2019Q4. All prior studies have established symmetric association between ICT and CO(2). As a result, we applied the novel non-parametric approaches (quantile-on-quantile regression and Granger causality in quantile) to assess this association. The findings from the QQR uncovered that in the majority of the quantiles, for Denmark, Japan, Luxemburg, Netherland, Norway, Sweden, United Kingdom and Switzerland, the effect of ICT on CO(2) emissions is negative, while in the majority of the quantiles, the effect of ICT on CO(2) emissions is positive for the Netherlands, South Korea, and Iceland. Furthermore, we applied the novel Granger causality in the quantiles approach and the outcomes provided evidence of bidirectional causality between CO(2) emissions and ICT in all the selected nations. The study proposes that sustainable ICT should be used to improve carbon reduction and energy savings potential by optimizing other industries, including managing and monitoring energy usage. Elsevier 2022-03-15 /pmc/articles/PMC8933682/ /pubmed/35313485 http://dx.doi.org/10.1016/j.heliyon.2022.e09108 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Adebayo, Tomiwa Sunday
Agyekum, Ephraim Bonah
Altuntaş, Mehmet
Khudoyqulov, Sadriddin
Zawbaa, Hossam M.
Kamel, Salah
Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
title Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
title_full Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
title_fullStr Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
title_full_unstemmed Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
title_short Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
title_sort does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933682/
https://www.ncbi.nlm.nih.gov/pubmed/35313485
http://dx.doi.org/10.1016/j.heliyon.2022.e09108
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