Digital governance and the low-carbon transition: evidence from double machine learning
Abstract Global warming caused by carbon emissions significantly threatens ecosystems and sustainable development. Adopting new measures is essential to realize the low-carbon transition. Digital governance provides fresh impetus for climate change mitigation and carbon neutrality. Although several...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-06-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-05144-9 |
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