TY - JOUR
T1 - Information communication technology, economic growth, natural resources, and renewable energy production
T2 - Evaluating the asymmetric and symmetric impacts of artificial intelligence in robotics and innovative economies
AU - Rasheed, Muhammad Qamar
AU - Yuhuan, Zhao
AU - Ahmed, Zahoor
AU - Haseeb, Abdul
AU - Saud, Shah
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/4/1
Y1 - 2024/4/1
N2 - The ongoing integration of artificial intelligence (AI) into the fundamental fabric of society constitutes a transformative process, with the potential to exert profound influence on various facets of human existence including environmental quality. Our research investigates the interaction of AI and renewable energy production in 22 leading robotics and innovative countries, providing crucial insights into a previously underexplored domain. The study's novelty and originality are in demonstrating the precise impact of AI in enhancing and revolutionizing renewable energy production, consequently addressing, and filling a critical study gap. Our analysis comprises both asymmetric and symmetric assumptions to cover the positive and negative shocks of artificial intelligence on renewable energy from 1991 to 2020. The findings from the panel NARDL analysis provide substantial support for the profound impact of changes in artificial intelligence (AI) on the substantial stimulation of renewable energy in the long-run. Furthermore, AI plays a substantial role in enhancing long-term renewable energy production in the panel symmetric ARDL. In the country-specific investigation, it is found that Austria, Germany, and New Zealand are the nations where both affirmative and adverse changes in AI improve clean energy structure significantly in the short run. Natural resources, information communication technology (ICT), and economic growth also enhance renewable energy production. Finally, policies are directed to increase renewable energy production.
AB - The ongoing integration of artificial intelligence (AI) into the fundamental fabric of society constitutes a transformative process, with the potential to exert profound influence on various facets of human existence including environmental quality. Our research investigates the interaction of AI and renewable energy production in 22 leading robotics and innovative countries, providing crucial insights into a previously underexplored domain. The study's novelty and originality are in demonstrating the precise impact of AI in enhancing and revolutionizing renewable energy production, consequently addressing, and filling a critical study gap. Our analysis comprises both asymmetric and symmetric assumptions to cover the positive and negative shocks of artificial intelligence on renewable energy from 1991 to 2020. The findings from the panel NARDL analysis provide substantial support for the profound impact of changes in artificial intelligence (AI) on the substantial stimulation of renewable energy in the long-run. Furthermore, AI plays a substantial role in enhancing long-term renewable energy production in the panel symmetric ARDL. In the country-specific investigation, it is found that Austria, Germany, and New Zealand are the nations where both affirmative and adverse changes in AI improve clean energy structure significantly in the short run. Natural resources, information communication technology (ICT), and economic growth also enhance renewable energy production. Finally, policies are directed to increase renewable energy production.
KW - Artificial intelligence
KW - Asymmetrical analysis
KW - ICT
KW - Renewable energy
KW - Robotics countries
UR - http://www.scopus.com/inward/record.url?scp=85186700184&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2024.141466
DO - 10.1016/j.jclepro.2024.141466
M3 - Article
AN - SCOPUS:85186700184
SN - 0959-6526
VL - 447
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 141466
ER -