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Exploring the Environmental Impact of Information and Communication Technologies, Population, Economic Growth, and Energy Consumption in MENA Countries
This study examined the impact of information and communication technology (ICT) and the subcomponents of mobile, internet, and fixed telephone use on carbon dioxide emissions (CO2E) using a panel of 17 Middle East and North Africa (MENA) countries from 1995 to 2016 while controlling for economic growth, population, and energy consumption. Additionally, the study examined the country-specific impacts of ICT and its subcomponents on CO2E. Finally, the study forecasted and proposed the CO2E mitigation pathways for the studied countries. By employing the panel autoregressive distributed lag (PARDL) model, the findings indicated that ICT and its subcomponents increase CO2E in the long run, while in the short run, only ICT reduces CO2E. Specifically, a 1% expansion in ICT, mobile, internet, and fixed telephone use increases CO2E by 0.015%, 0.006%, 0.014%, and 0.061%, respectively, in the long run. Additionally, the findings showed that countries with high levels of CO2E, such as Iran and Saudi Arabia, have the highest environmental deterioration effect of ICTs, while countries with low levels of CO2E, such as Lebanon and Malta, have the lowest effect. Finally, the CO2E for the studied countries demonstrated an upward trend; however, by maximizing sustainable ICT use, sustainable economic growth, and clean energy use via upgrading ICT infrastructure, granting tax incentives and subsidies, and feed-in-tariffs, CO2E for the studied countries will witness a significant decline by 2050.
Exploring the Environmental Impact of Information and Communication Technologies, Population, Economic Growth, and Energy Consumption in MENA Countries
This study examined the impact of information and communication technology (ICT) and the subcomponents of mobile, internet, and fixed telephone use on carbon dioxide emissions (CO2E) using a panel of 17 Middle East and North Africa (MENA) countries from 1995 to 2016 while controlling for economic growth, population, and energy consumption. Additionally, the study examined the country-specific impacts of ICT and its subcomponents on CO2E. Finally, the study forecasted and proposed the CO2E mitigation pathways for the studied countries. By employing the panel autoregressive distributed lag (PARDL) model, the findings indicated that ICT and its subcomponents increase CO2E in the long run, while in the short run, only ICT reduces CO2E. Specifically, a 1% expansion in ICT, mobile, internet, and fixed telephone use increases CO2E by 0.015%, 0.006%, 0.014%, and 0.061%, respectively, in the long run. Additionally, the findings showed that countries with high levels of CO2E, such as Iran and Saudi Arabia, have the highest environmental deterioration effect of ICTs, while countries with low levels of CO2E, such as Lebanon and Malta, have the lowest effect. Finally, the CO2E for the studied countries demonstrated an upward trend; however, by maximizing sustainable ICT use, sustainable economic growth, and clean energy use via upgrading ICT infrastructure, granting tax incentives and subsidies, and feed-in-tariffs, CO2E for the studied countries will witness a significant decline by 2050.
Exploring the Environmental Impact of Information and Communication Technologies, Population, Economic Growth, and Energy Consumption in MENA Countries
Environ Model Assess
Appiah-Otoo, Isaac (Autor:in) / Chen, Xudong (Autor:in)
Environmental Modeling & Assessment ; 29 ; 1003-1021
01.12.2024
19 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Information and communication technology , Carbon emissions , Ecological footprint , Forecasting Environment , Math. Appl. in Environmental Science , Mathematical Modeling and Industrial Mathematics , Operations Research/Decision Theory , Applications of Mathematics , Earth and Environmental Science
BASE | 2020
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