aceImpact of AI robotics, income, clean energy subtypes, and energy transition on environmental progress: An incremental analysis for China by KRLS model
As artificial intelligence (AI) has been widely applied in economies, understanding its environmental implications is highly critical. Consistent with this phenomenon, this research uncovers the impact of AI robotics (AIR), income, clean energy subtypes, and energy transition (ETI), along with traditional factors (namely, trade openness, urbanization, and financial development), on environmental progress. In this vein, the study focuses on China, the leading carbon dioxide (CO 2 ) emitter, uses CO 2 emissions (s…
A study of China's 2000-2024 data found AI robotics did not help lower CO2 emissions; its authors judge the country's use of AI robotics inefficient for the environment.
The marginal effects of the factors on CO2 emissions differ across percentiles, so the findings do not apply uniformly across emission levels.
Sources
- Peer-reviewedEnergy & Environment2026-11-03
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Truvace Impact Record TRV-2026-2379, v2: “Impact of AI robotics, income, clean energy subtypes, and energy transition on environmental progress: An incremental analysis for China by KRLS model.” Truvace, 2026-11-05. /record/TRV-2026-2379 (accessed on the day you copy it). sha256 d7d35dd20ec91088…
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