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Does artificial intelligence affect the ecological footprint? -Evidence from 30 provinces in China
Yong Wang1, Ru Zhang1, Kainan Yao1
1School of Statistics, Dongbei University of Finance and Economics, Dalian, 116025, China.
Journal of Environmental Management
|September 13, 2024
Summary
Artificial intelligence (AI) significantly reduces ecological footprints by enhancing energy efficiency. This effect is strongest in China
Area of Science:
- Environmental Science
- Technology and Innovation
Background:
- Artificial intelligence (AI) offers potential solutions for environmental challenges.
- Optimizing energy efficiency is crucial for reducing ecological footprints.
Purpose of the Study:
- To investigate the impact of regional AI development on per capita ecological footprints in China.
- To explore the mechanisms through which AI influences ecological footprints.
Main Methods:
- Analysis of data from 30 Chinese provinces (2018-2022).
- Mediation effect analysis to identify underlying mechanisms.
- Panel threshold model to determine the role of energy efficiency.
Main Results:
- Regional AI development significantly decreases the ecological footprint.
- AI primarily reduces ecological footprints by improving energy utilization efficiency.
- A single energy efficiency threshold exists for AI's full suppressive effect.
- The effect is more pronounced in central and eastern China.
Conclusions:
- AI technology is a viable tool for reducing ecological footprints.
- Improving energy efficiency is key to maximizing AI's environmental benefits.
- Findings support targeted regional policies for technology and environmental management.
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