Abstract
We explore the combined effects of a climate threshold (a potential ocean thermohaline circulation collapse), parameter uncertainty, and learning in an optimal economic growth model. Our analysis shows that significantly reducing carbon dioxide (CO2) emissions may be justified to avoid or delay even small (and arguably realistic) damages from an uncertain and irreversible climate change - even when future learning about the system is considered. Parameter uncertainty about the threshold specific damages and the CO 2 level triggering a threshold can act to decrease near-term CO 2 abatements that maximize expected utility.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 723-741 |
| Number of pages | 19 |
| Journal | Journal of Environmental Economics and Management |
| Volume | 48 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jul 2004 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- Economics and Econometrics
- Management, Monitoring, Policy and Law
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