Digital brains, green gains: Artificial intelligence's path to sustainable transformation

The environmental impacts of artificial intelligence on a global scale remain underexplored. This study utilizes a balanced panel dataset to examine artificial intelligence's complex role in enhancing global green productivity between 2008 and 2019. The findings indicate that artificial intelligence robustly boosts green productivity, even after correcting for potential endogeneity using the legal system's origin as an instrument. A detailed mediation analysis underscores that artificial intelligence indirectly promotes green productivity by increasing renewable energy use, attracting skilled labor, and dampening stock market performance. Additional analysis confirms that financial development generally amplifies artificial intelligence's favorable effects on green productivity. However, the combined impact of financial institution access and artificial intelligence on green productivity initially appears hostile, an effect that can be reversed when financial access exceeds a certain threshold. These results offer valuable insights into the interconnection between artificial intelligence and the global shift towards greener practices.

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Publication Details

Journal
Journal of Environmental Management
Published
2024-10-02
DOI
https://doi.org/10.1016/j.jenvman.2024.122679
Citations
34
Primary Topic
Energy, Environment, and Transportation Policies
Type
article
Field-Weighted Citation Impact
3.48
Controls
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article

Digital brains, green gains: Artificial intelligence's path to sustainable transformation

Miaomiao Tao
34 citations
Journal of Environmental Management
Energy, Environment, and Transportation Policies
3.48
article

Digital brains, green gains: Artificial intelligence's path to sustainable transformation

Miaomiao Tao
article en
34 citations

Abstract

The environmental impacts of artificial intelligence on a global scale remain underexplored. This study utilizes a balanced panel dataset to examine artificial intelligence's complex role in enhancing global green productivity between 2008 and 2019. The findings indicate that artificial intelligence robustly boosts green productivity, even after correcting for potential endogeneity using the legal system's origin as an instrument. A detailed mediation analysis underscores that artificial intelligence indirectly promotes green productivity by increasing renewable energy use, attracting skilled labor, and dampening stock market performance. Additional analysis confirms that financial development generally amplifies artificial intelligence's favorable effects on green productivity. However, the combined impact of financial institution access and artificial intelligence on green productivity initially appears hostile, an effect that can be reversed when financial access exceeds a certain threshold. These results offer valuable insights into the interconnection between artificial intelligence and the global shift towards greener practices.

Journal of Environmental ManagementVol. 370
University of Auckland (NZ), Auckland University of Technology (NZ)
Responsible consumption and production
Openalex Percentile: Top 6%
Energy, Environment, and Transportation Policies
3.48
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Digital brains, green gains: Artificial intelligence's path to sustainable transformation — Miaomiao Tao · Journal of Environmental Management (2024) | TGRS Research Map | TGRS