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Promoting the transformation of digital economy structure based on artificial intelligence in the low carbon economy environment

Fan Chen & Aijun Liu

International Journal of Environment and Pollution2026https://doi.org/10.1504/ijep.2026.151755article
ABDC C
Weight
0.50

What the paper says

This study investigates the impact of artificial intelligence (AI) on economic structure (ES) transformation within a low-carbon economy.Focusing on ES advancement and rationalisation, an empirical model is established incorporating control variables such as policy, openness, informatisation, and population density.Using dynamic panel analysis, results show that AI significantly promotes both ES advancement and rationalisation at the 1% level in the first lagged period.The findings indicate that AI enhances industrial efficiency and supports green development, playing a crucial role in driving sustainable, high-quality economic growth.This research provides valuable insights for policymakers seeking to integrate AI into low-carbon economic strategies.

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Cite this paper

https://doi.org/https://doi.org/10.1504/ijep.2026.151755

Or copy a formatted citation

@article{fan2026,
  title        = {{Promoting the transformation of digital economy structure based on artificial intelligence in the low carbon economy environment}},
  author       = {Fan Chen & Aijun Liu},
  journal      = {International Journal of Environment and Pollution},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijep.2026.151755},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.