Can artificial intelligence technology innovation boost energy resilience? The role of green finance

Energy systems are very fragile and vulnerable to various external shocks, so improving their resilience enables them to cope better. An important channel for building energy resilience is Artificial Intelligence (AI) technology, which provides innovative avenues for addressing this challenge. This study uses data from a balanced panel of 30 Chinese provinces from 2006 to 2019 to empirically evaluate how AI technology advancement affects China's energy resilience. Our study also examines the heterogeneity and possible impact mechanisms. The results show that AI technology innovation can effectively promote energy resilience. The study conducts several robustness checks to confirm the validity of this finding. However, this facilitation varies by region, with the highest effect in the central area, followed by the eastern and western regions. Moreover, the advancement of green finance is developed through AI technology innovation, which indirectly enhances energy resilience. This study aims to analyze the ability to improve energy systems' resilience through AI technology innovation, which provides valuable lessons for policymakers. • We analyze the interaction between Artificial Intelligence (AI) technology innovation and energy resilience. • The advancement of AI technology innovation c raises the bar for energy resilience. • Regional heterogeneity in the effect of AI technology innovation on energy resilience exists. • The impact on energy resilience increases with the extent of innovation development in AI technology innovation. • Green finance can be treated as a positive mediating variable.

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Publication Details

Journal
Energy Economics
Published
2024-12-25
DOI
https://doi.org/10.1016/j.eneco.2024.108159
Citations
55
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
62.11

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article

Can artificial intelligence technology innovation boost energy resilience? The role of green finance

Kangyin Dong, Jianda Wang, Arshian Sharif, Rabindra Nepal et al.
55 citations
Energy Economics
Market Dynamics and Volatility
62.11
article

Can artificial intelligence technology innovation boost energy resilience? The role of green finance

Kangyin Dong, Jianda Wang, Arshian Sharif, Rabindra Nepal, Xiaomeng Zhao
article en
55 citations

Abstract

Energy systems are very fragile and vulnerable to various external shocks, so improving their resilience enables them to cope better. An important channel for building energy resilience is Artificial Intelligence (AI) technology, which provides innovative avenues for addressing this challenge. This study uses data from a balanced panel of 30 Chinese provinces from 2006 to 2019 to empirically evaluate how AI technology advancement affects China's energy resilience. Our study also examines the heterogeneity and possible impact mechanisms. The results show that AI technology innovation can effectively promote energy resilience. The study conducts several robustness checks to confirm the validity of this finding. However, this facilitation varies by region, with the highest effect in the central area, followed by the eastern and western regions. Moreover, the advancement of green finance is developed through AI technology innovation, which indirectly enhances energy resilience. This study aims to analyze the ability to improve energy systems' resilience through AI technology innovation, which provides valuable lessons for policymakers. • We analyze the interaction between Artificial Intelligence (AI) technology innovation and energy resilience. • The advancement of AI technology innovation c raises the bar for energy resilience. • Regional heterogeneity in the effect of AI technology innovation on energy resilience exists. • The impact on energy resilience increases with the extent of innovation development in AI technology innovation. • Green finance can be treated as a positive mediating variable.

Energy EconomicsVol. 142
Hong Kong Polytechnic University (HK), University of International Business and Economics (CN), University of Wollongong (AU), Sunway University (MY)
Nanchang University, National Office for Philosophy and Social Sciences
Affordable and clean energy
Openalex Percentile: Top 0%
Market Dynamics and Volatility
62.11
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