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Analyzing carbon emission reduction paths in China using interpretable machine learning: A perspective of carbon emission prediction and efficiency evaluation

Crossref DOI link: https://doi.org/10.1007/s10668-025-07113-3

Published Online: 2025-12-24

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

Authors

Chen, Jianghong https://orcid.org/0000-0003-1639-5708
Yang, Long-Hao

Ye, Fei-Fei

Wang, Ying-Ming
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (72301071)

National Natural Science Foundation of China (72471061)

National Natural Science Foundation of China (72001043)

National Natural Science Foundation of China (72371077)
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Text and Data Mining valid from 2025-12-24

Version of Record valid from 2025-12-24
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Article History

Received: 8 August 2025

Accepted: 17 November 2025

First Online: 24 December 2025

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