MARATTO

book chapter · Advances in computational intelligence and robotics book series

Dynamic Interactions Between Economic Growth, Renewable Energy, and CO2 Emissions in Norway Using a Fourier-Augmented ARDL Model

Abstract

This study investigates the relationship between renewable energy consumption, technological innovation, economic growth, and CO2 emissions in Norway from 1990 to 2021 using the Fourier-Augmented ARDL model. The long-run results show that GDP growth increases emissions, while renewable energy and patent activity contribute to emissions reduction. In the short run, GDP significantly impacts emissions, whereas the effects of renewable energy and innovation are limited. These findings highlight the importance of sustained investments in green technologies and energy transition policies. The study provides new empirical evidence for the role of innovation and renewables in decarbonizing high-income economies

Research topics

  • Energy, Environment, Economic Growth
  • Environmental Impact and Sustainability
  • Climate Change Policy and Economics

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.4018/979-8-3373-1077-0.ch003

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.