Implications of a Lowered Damage Trajectory for Mitigation in a Continuous-Time Stochastic Model
This paper provides counterexamples to the idea that mitigation of greenhouse gases causing climate change, and adaptation to climate change, are always and everywhere substitutes. The author considers optimal policy for mitigating greenhouse gas e...
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Format: | Policy Research Working Paper |
Language: | English |
Published: |
2012
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Online Access: | http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110701002720 http://hdl.handle.net/10986/3489 |
Summary: | This paper provides counterexamples to
the idea that mitigation of greenhouse gases causing climate
change, and adaptation to climate change, are always and
everywhere substitutes. The author considers optimal policy
for mitigating greenhouse gas emissions when climate damages
follow a geometric Brownian motion process with positive
drift, and the trajectory for damages can be down-shifted by
adaptive activities, focusing on two main cases: 1) damages
are reduced proportionately by adaptation for any given
climate impact ("reactive adaptation"); and 2) the
growth path for climate damages is down-shifted
("anticipatory adaptation"). In this model
mitigation is a lumpy one-off decision. Policy to reduce
damages for given emissions is continuous in case 1, but may
be lumpy in case 2, and reduces both expectation and
variance of damages. Lower expected damages promote
mitigation, and reduced variance discourages it (as the
option value of waiting is reduced). In case 1, the last
effect may dominate. Mitigation then increases when damages
are dampened: mitigation and adaptation are complements. In
case 2, mitigation and adaptation are always substitutes. |
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