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Identification of the key factors affecting Chinese carbon intensity and their historical trends using random forest algorithm

Crossref DOI link: https://doi.org/10.1007/s11442-020-1753-4

Published Online: 2020-04-29

Published Print: 2020-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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