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Название: Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches
Авторы: Adebayo, T. S.
Agyekum, E. B.
Altuntaş, M.
Khudoyqulov, S.
Zawbaa, H. M.
Kamel, S.
Дата публикации: 2022
Издатель: Elsevier Ltd
Библиографическое описание: Does information and communication technology impede environmental degradation? fresh insights from non-parametric approaches / T. S. Adebayo, E. B. Agyekum, M. Altuntaş et al. // Heliyon. — 2022. — Vol. 8. — Iss. 3. — e09108.
Аннотация: 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 CO2 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 CO2. 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 CO2 emissions is negative, while in the majority of the quantiles, the effect of ICT on CO2 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 CO2 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. © 2022 The Author(s)
Ключевые слова: CO2 EMISSIONS
GRANGER CAUSALITY IN QUANTILES
INFORMATION AND COMMUNICATION TECHNOLOGY
QUANTILE-ON-QUANTILE REGRESSION
URI: http://elar.urfu.ru/handle/10995/118182
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85126515768
Идентификатор WOS: 001043344800003
Идентификатор PURE: 29829163
ISSN: 24058440
DOI: 10.1016/j.heliyon.2022.e09108
Сведения о поддержке: 847402
Hossam M. Zawbaa was supported by the European Union's Horizon 2020 research and Enterprise Ireland for their support under the Marie Skłodowska-Curie (grant agreement No. 847402 ).
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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