Citation

Baffour Gyau, Emmanuel and Li, Yaya and Appiah, Michael and Gyamfi, Bright Akwasi and Solarin, Sakiru Adebola (2026) Exploring the impact of AI technology innovation on energy intensity: The role of ICT development and renewable energy integration. Energy Geoscience, 7 (2). p. 100518. ISSN 26667592

Text Exploring the impact of AI technology innovation on energy intensity_ The role of ICT development and renewable energy integration.pdf - Published Version Restricted to Repository staff only Download (2MB)

Abstract

As global energy demand continues to intensify, intelligence technology innovation (AITI) offers emerging possibilities for improving energy and supporting sustainable energy transitions. At the same time, the integration of renewable energy is reshaping energy systems and energy consumption patterns. This study examines the relationship between AITI and energy intensity using panel data for 42 countries over the period of 2000–2022. Analysis with the Driscoll and Kraay standard errors ed effects regression method reveals that AITI reduces energy intensity; however, the evidence of a U-shaped relationship indicates that the reducing effect of AITI may reverse beyond a threshold. Economic growth, trade openness, development, and government regulations reduce energy intensity while foreign investment and skilled labor increase it. Mechanism tests reveal that AITI reduces energy intensity by promoting information and communication technology development, and renewable energy enhances the reducing effect of AITI. Heterogeneity analyses reveal that the reducing impact of AITI on energy intensity is in developed economies but in developing nations. These provide empirical insight for policymakers, emphasizing the need to align AITI with renewable energy transitions through tailored strategies that economic diversity and regional conditions.

Item Type:	Article
Uncontrolled Keywords:	Artificial intelligence (AI) has technology innovation, energy intensity
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	10 Feb 2026 04:12
Last Modified:	10 Feb 2026 04:12
URII:	http://shdl.mmu.edu.my/id/eprint/15293

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