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Publication Open Access Renewable realities: Charting a greener course for the world's high-emitting nations through information technology insights(John Wiley, 2025-04) Ranthilake, T; Caldera, Y; Senevirathna, D; Gunawardana, H; Jayathilaka, R; Peter, SCarbon dioxide (CO₂) is the most abundant gas among all greenhouse gas emissions, severely impacting global warming. This study examines the impact of Information and Communication Technology (ICT), population dynamics, Per Capita Gross Domestic Product (PGDP), and Renewable Energy Consumption (REC) on CO₂ on a global scale, representing 38 countries selected using the Pareto principle. Results from the panel regression model indicate a significantly positive relationship between ICT, PGDP, and population on CO₂ emissions. In contrast, REC exhibits a negative relationship. The Multiple Linear Regression model shows that an increase in PGDP leads to higher CO₂ emissions, except in Uzbekistan. ICT increases emissions in the United States, Argentina, Australia, Canada, and Egypt. Population growth raises emissions, except in the United States, France, Germany, and Russia. REC reduces CO₂ emissions in most countries. Policymakers in individual countries can gain a precise understanding of how these variables impact CO₂ emissions, enabling them to mitigate the risks associated with global warmingPublication Embargo Renewable realities: Charting a greener course for the world's high-emitting nations through information technology insights(Wiley, 2024-11-14) Ranthilake, T; Caldera, Y; Senevirathna, D; Gunawardana, H; Jayathilaka, R; Peter, SCarbon dioxide (CO₂) is the most abundant gas among all greenhouse gas emissions,severely impacting global warming. This study examines the impact of Informationand Communication Technology (ICT), population dynamics, Per Capita GrossDomestic Product (PGDP), and Renewable Energy Consumption (REC) on CO₂ on aglobal scale, representing 38 countries selected using the Pareto principle. Resultsfrom the panel regression model indicate a significantly positive relationship betweenICT, PGDP, and population on CO₂ emissions. In contrast, REC exhibits a negativerelationship. The Multiple Linear Regression model shows that an increase in PGDPleads to higher CO₂ emissions, except in Uzbekistan. ICT increases emissions in theUnited States, Argentina, Australia, Canada, and Egypt. Population growth raisesemissions, except in the United States, France, Germany, and Russia. REC reducesCO₂ emissions in most countries. Policymakers in individual countries can gain a pre-cise understanding of how these variables impact CO₂ emissions, enabling them tomitigate the risks associated with global warming