Artificial Intelligence and Renewable Energy Growth: Global Evidence from Panel Data

Abstract

This research aims to provide improved and in-depth insight into the association between AI and RE. The indicators used for renewable energy include generation from solar, wind, hydroelectricity, geothermal, and biomass sources, whereas artificial intelligence is proxied by patent applications filed by residents. The analysis is conducted for 69 countries from 1990 to 2023 using the system generalized method of moments and panel quantile regression analysis to address endogeneity and distributional variance in artificial intelligence and renewable energy growth. The results show that artificial intelligence has a significant positive impact on renewable energy. This emphasizes the need to integrate artificial intelligence into renewable energy systems to accelerate the energy transition to achieve sustainability.