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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 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.
- Cyprus International University Cyprus
- Nişantaşı University Turkey
- Tashkent State Economic University Uzbekistan
- Ural Federal University Russian Federation
- Technological University Dublin Ireland
INFORMATION AND COMMUNICATION TECHNOLOGY, GRANGER CAUSALITY IN QUANTILES, Science (General), 330, CO2 emissions, Q1-390, QUANTILE-ON-QUANTILE REGRESSION, H1-99, Computer Sciences, Social sciences (General), Granger causality in quantiles, 306, CO2 EMISSIONS, Quantile-on-Quantile regression, Information and communication technology, Research Article
INFORMATION AND COMMUNICATION TECHNOLOGY, GRANGER CAUSALITY IN QUANTILES, Science (General), 330, CO2 emissions, Q1-390, QUANTILE-ON-QUANTILE REGRESSION, H1-99, Computer Sciences, Social sciences (General), Granger causality in quantiles, 306, CO2 EMISSIONS, Quantile-on-Quantile regression, Information and communication technology, Research Article
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
