Structural Breaks in Carbon Emissions : A Machine Learning Analysis /
To reach the global net-zero goal, the level of carbon emissions has to fall substantially at speed rarely seen in history, highlighting the need to identify structural breaks in carbon emission patterns and understand forces that could bring about such breaks. In this paper, we identify and analyze...
| Huvudupphovsman: | Yao, Jiaxiong |
|---|---|
| Övriga upphovsmän: | Zhao, Yunhui |
| Materialtyp: | Tidskrift |
| Språk: | English |
| Publicerad: |
Washington, D.C. :
International Monetary Fund,
2022.
|
| Serie: | IMF Working Papers; Working Paper ;
No. 2022/009 |
| Ämnen: | |
| Länkar: | Full text available on IMF |
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