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Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050
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Challenges and opportunities for carbon neutrality in China
Liu, Z., Deng, Z., He, G., Wang, H., Zhang, X., Lin, J., Qi, Y., & Liang, X. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-021-00244-x · Cited by 1,748
Ma, M., Ma, X., Cai, W., & Cai, W. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115247 · Cited by 267
Carbon Abatement and Leakage in China's Regional Carbon Emission Trading
Jiang, J., Ye, B., Zeng, Z., Yang, X., Sun, Z., Shao, S., Feng, K., & Tan, X. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c04738 · Cited by 23
Metadata
- Authors
- Zhou, N., Khanna, N., Feng, W., Ke, J., & Levine, M.
- Venue
- Nature Energy
- Published
- 2018-10-08
- Volume
- 3
- Issue
- 11
- Pages
- 978-984
- ISSN
- 2058-7546 (ISSN-L)
- OpenAlex
- W2895699068
- Cited by
- 410
- References
- 0
- FWCI
- 21.13
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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- Zhou, N., Khanna, N., Feng, W., Ke, J., & Levine, M. (2018). Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050. Nature Energy. https://doi.org/10.1038/s41560-018-0253-6
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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.