Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)

This study examines the multifaceted impact of artificial intelligence (AI) on environmental sustainability, specifically targeting ecological footprints, carbon emissions, and energy transitions. Utilizing panel data from 67 countries, we employ System Generalized Method of Moments (SYS-GMM) and Dy...

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Vydané v:	Humanities & social sciences communications Ročník 11; číslo 1; s. 1043 - 18
Hlavní autori:	Wang, Qiang, Li, Yuanfan, Li, Rongrong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer Nature B.V 01.12.2024 Springer Nature
Predmet:	Artificial intelligence Carbon Climate change Digital economy Ecological footprint Emissions Emissions control Emissions trading Energy Energy consumption Energy economics Energy transition Environmental impact Environmental protection International trade Nonlinear analysis Openness Panel data Policy making Productivity Renewable resources Sustainability Sustainable development Technology Variables China Germany
ISSN:	2662-9992, 2662-9992
On-line prístup:	Získať plný text
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