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Cited by 526

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Assessing China’s efforts to pursue the 1.5°C warming limit

Open access
Duan, Hongbo, Zhou, Sheng, Jiang, Kejun, Bertram, Christoph, Harmsen, Mathijs, Kriegler, Elmar, van Vuuren, Detlef P., Wang, Shouyang, Fujimori, Shinichiro, Tavoni, Massimo, Ming, Xi, Keramidas, Kimon, Iyer, Gokul, Edmonds, James·2021·Science

Abstract

Change in the air: The 2016 Paris Agreement set the ambitious goals of keeping global temperature rise this century below 2°C, or even better, 1.5°C above preindustrial levels. Substantial interventions are required to meet these goals, particularly for industrialized countries. Duan et al. projected that China will need to reduce its carbon emissions by more than 90% and its energy consumption by almost 40% to do its share in reaching the 1.5°C target. Negative emission technology is an essential element of any plan. China's accumulated economic costs by 2050 may be about 3 to 6% of its gross domestic product. Science , this issue p. 378

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Metadata

Authors
Duan, H., Zhou, S., Jiang, K., Bertram, C., Harmsen, M., Kriegler, E., van Vuuren, D. P., Wang, S., Fujimori, S., Tavoni, M., Ming, X., Keramidas, K., Iyer, G., & Edmonds, J.
Venue
Science
Published
2021-04-23
Volume
372
Issue
6540
Pages
378-385
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3153296559
Cited by
526
References
7
FWCI
67.07
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Assessing China’s efforts to pursue the 1.5°C warming limit. https://app.cochat.ai/papers/10.1126/science.aba8767
The paper
Duan, H., Zhou, S., Jiang, K., Bertram, C., Harmsen, M., Kriegler, E., van Vuuren, D. P., Wang, S., Fujimori, S., Tavoni, M., Ming, X., Keramidas, K., Iyer, G., & Edmonds, J. (2021). Assessing China’s efforts to pursue the 1.5°C warming limit. Science. https://doi.org/10.1126/science.aba8767

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.