Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)
China University of Petroleum, East China · Xinjiang University
Abstract
Abstract This study examines the multifaceted impact of artificial intelligence (AI) on environmental sustainability, specifically targeting ecological footprints, carbon emissions, and energy transitions. Utilizing panel data from 67 countries, we employ System Generalized Method of Moments (SYS-GMM) and Dynamic Panel Threshold Models (DPTM) to analyze the complex interactions between AI development and key environmental metrics. The estimated coefficients of the benchmark model show that AI significantly reduces ecological footprints and carbon emissions while promoting energy transitions, with the most substantial impact observed in energy transitions, followed by ecological footprint reduction and carbon…
Citation impact
- FWCI
- 218.41
- Percentile
- 100%
- References
- 64
Authors
3Topics & keywords
- Environmental science
- Ecology
- Carbon fibers
- Greenhouse gas
- Environmental resource management
- Computer science
- Biology