A novel DEA-Tobit-SD assessment framework and application of provincial-level carbon emission embracing regional heterogeneity
Abstract Formulating tailored emission reduction policies for each Chinese province is crucial due to regional differences in carbon emission evolution patterns. This paper proposes a novel and comprehensive research framework that integrates data envelopment analysis (DEA), Tobit regression, and sy...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
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| Series: | Carbon Neutrality |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43979-024-00116-5 |
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