Abstract
Over 100 countries have set or are considering net-zero emissions or neutrality targets. However, most of the information on emissions neutrality (such as timing) is provided for the global level. Here, we look at national-level neutrality-years based on globally cost-effective 1.5 °C and 2 °C scenarios from integrated assessment models. These results indicate that domestic net zero greenhouse gas and CO2 emissions in Brazil and the USA are reached a decade earlier than the global average, and in India and Indonesia later than global average. These results depend on choices like the accounting of land-use emissions. The results also show that carbon storage and afforestation capacity, income, share of non-CO2 emissions, and transport sector emissions affect the variance in projected phase-out years across countries. We further compare these results to an alternative approach, using equity-based rules to establish target years. These results can inform policymakers on net-zero targets.
| Original language | English |
|---|---|
| Article number | 2140 |
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Nature Communications |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Dec 2021 |
Bibliographical note
Funding Information:The authors received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 821471 (ENGAGE). The work is largely based on scenarios from integrated assessment modelling studies published in the CD-LINKS database (financed by European Union’s Horizon 2020 research and innovation programme under grant agreement number 642147). We are very grateful to the model teams who submitted the scenarios that were used here, notably Shinichiro Fujimori (AIM), Mathijs Harmsen (IMAGE), Oliver Fricko (MESSAGE), Jacques Despres (POLES), Christoph Bertram (REMIND) and Laurent Drouet (WITCH). We also thank Maarten van den Berg, Kaj-Ivar van der Wijst and Hans Visser (PBL) for their invaluable contributions.
Publisher Copyright:
© 2021, The Author(s).
Keywords
- climate-change mitigation
- energy modelling
- projection and prediction