Unequal economic impacts of climate change via idealized carbon dioxide removal: Insights from deep learning.
- DOI
- 10.1016/j.xinn.2026.101505
- Published
- 2026 Oct 5
- Container
- Innovation (Cambridge (Mass.))
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.xinn.2026.101505,
title = {Unequal economic impacts of climate change via idealized carbon dioxide removal: Insights from deep learning.},
author = {Tang B and Wei J and Liu Y and He B and Bao W and Yang Y and Wang W and Hu W and Duan A},
year = {2026},
journal = {Innovation (Cambridge (Mass.))},
doi = {10.1016/j.xinn.2026.101505},
url = {https://doi.org/10.1016/j.xinn.2026.101505}
}RIS
TY - JOUR TI - Unequal economic impacts of climate change via idealized carbon dioxide removal: Insights from deep learning. AU - Tang B AU - Wei J AU - Liu Y AU - He B AU - Bao W AU - Yang Y AU - Wang W AU - Hu W AU - Duan A PY - 2026 JO - Innovation (Cambridge (Mass.)) DO - 10.1016/j.xinn.2026.101505 UR - https://doi.org/10.1016/j.xinn.2026.101505 ER -
APA
B, T., J, W., Y, L., B, H., W, B., Y, Y., W, W., W, H., & A, D. (2026). Unequal economic impacts of climate change via idealized carbon dioxide removal: Insights from deep learning.. Innovation (Cambridge (Mass.)). https://doi.org/10.1016/j.xinn.2026.101505