Drivers of carbon emissions in the era of artificial intelligence

Case of Japan

Dados Bibliográficos

ID22430786
AutoresLidija Kraujalienė (0000-0002-8769-8338, Kazimieras Simonavičius University), Atif Yaseen (0009-0000-0129-300X, Kazimieras Simonavičius University), Saulius Kromalcas (0000-0001-9389-2623, Kazimieras Simonavičius University), Helga Marija Kauzonė (0009-0008-8754-2748, Kazimieras Simonavičius University)
Ano2026
Volume0
Fascículo0
Páginas1-31
Data de publicação2026-06-08
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoTechnological and Economic Development of Economy (JOURNAL)
Identificadores do periódicoISSN: 2029-4913 • E-ISSN: 2029-4921
EditoraVilnius Gediminas Technical University (PUBLISHER • LT)
DOI10.3846/tede.2026.26996
OpenAlexW7163953358
IdiomaEN
Referências citadas78

This research is driven by the absence of a unified consensus regarding the relationship between artificial intelligence, energy consumption, and economic growth and their impact on CO2 emissions. Not clear whether AI increases or decreases CO2. The novelty – identification of the two-way causal link between the implementation of AI and carbon emissions, a dynamic not previously confirmed in the literature. The originality – the model tested on a scale of Japan as developed country which still around 90% depending on fossil fuels. Data period: 1995–2024. An ARDL-based econometric approach to analyze the long-term and short-term impacts and several diagnostics to improve the precision and reliability of the study results. Tests used: the Breusch-Godfrey Serial Correlation, Ramsey RESET, Breusch-Pagan-Godfrey, CUSUMSQ and CUSUM. The study outputs reveal that in Japan, AI and energy consumption are associated with an increase in carbon emissions, while exports – with decrease in emission levels. In developed economies governments recommended to lower CO2 emissions by speeding up the shift toward renewable energy sources and investing in environmentally friendly AI technologies. Policymakers should adopt an integrated approach that links AI, energy, environmental, and economic policies, supported by regulatory reforms to promote sustainability and achieve carbon neutrality. First published online 8 June 2026

Energy consumption · Fossil fuel · Greenhouse gas · Novelty · Renewable energy · Sustainability · COVID-19 impact on air quality · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth