From bytes to sustainability: Asymmetric nexus between industrial artificial intelligence and green finance in advanced industrial AI nations

Abstract

The integration of artificial intelligence in industry and the adoption of green finance emphasizing environmental sustainability through technology has become increasingly prominent. This article scrutinizes the asymmetric nexus between industrial artificial intelligence and green finance in the top ten countries leading in industrial artificial intelligence (China, USA, South Korea, Germany, Japan, Canada, UK, Australia, France, and Italy). Preceding studies applied panel data approaches to examine the industrial artificial intelligence-green finance nexus without considering that not all countries had established such a connection autonomously. Conversely, this paper implements a distinctive approach, ‘Quantile-on-Quantile’, which offers both worldwide and nation-specific foresight into the correlation of the variables. The results demonstrate that industrial artificial intelligence increases green finance at specific segments of the data distribution across diverse economies. These outcomes underscore policymakers’ need to approach the development and enactment of policies regarding industrial artificial intelligence and green finance with careful attention and thoughtful deliberation.

Keywords

• Industrial artificial intelligence
• Green finance
• Quantile estimation