Scopus Index Publications

Now showing 1 - 2 of 2

Open Access
Carbon emissions and global R&D patterns: a wavelet coherence perspective
(Springer, 2025-03-23) Senevirathna, D; Gunawardana, H; Ranthilake, T; Caldera, Y; Jayathilaka, R; Rathnayake, N; Peter, S
This study examines the causality between Research and Development (R&D) and Carbon dioxide (CO2) emissions at the global level, utilising data gathered from 2000 to 2020 across various countries categorised as developed, developing, economies in transition, and least-developed. The data collected for the study are analysed using the Wavelet coherence methodology. The findings reveal both bidirectional and unidirectional causality between the variables, which have evolved over time. Globally, a bidirectional relationship is present in the short-term, no causality in the medium-term and unidirectional causality in the long-term. Developed countries exhibit a two-way causality in the short-term, while no causality exists in the medium-term and long-term. Developing countries show a bidirectional relationship across all time frequencies. In economies in transition, a bidirectional relationship appears towards the end of the period over the short, medium, and long-term. The least developed countries show no causality in the short and long-term, but a one-way causality in the medium-term. Governments and the policymakers can implement environmental policies to mitigate carbon emissions through R&D. The findings suggest targeted and strategic strategies to enhance the impact of R&D on emissions reduction. Policymakers can use this analysis to prioritize funding for clean energy innovations, establish incentives for low-tech technologies, and promote international cooperation in green technology research. Additionally, focusing on these carbon mechanisms and aligning R&D efforts to support development goals can increase the effectiveness of climate policies, ensuring a balance between economic growth and environmental sustainability.
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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, S
Carbon 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

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