Steering the Climate System: Using Inertia to Lower the Cost of Policy
Author(s) -
Derek Lemoine,
Ivan Rudik
Publication year - 2017
Publication title -
american economic review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.936
H-Index - 297
eISSN - 1944-7981
pISSN - 0002-8282
DOI - 10.1257/aer.20150986
Subject(s) - economics , carbon tax , inertia , natural resource economics , limiting , limit (mathematics) , carbon fibers , greenhouse gas , climate policy , microeconomics , global warming , path (computing) , econometrics , climate change , environmental science , mathematics , physics , ecology , computer science , mechanical engineering , mathematical analysis , classical mechanics , algorithm , composite number , engineering , biology , programming language
Common views hold that the efficient way to limit warming to a chosen level is to price carbon emissions at a rate that increases exponentially. We show that this Hotelling tax on carbon emissions is actually inefficient. The least-cost policy path takes advantage of the climate system's inertia to delay reducing emissions and allow greater cumulative emissions. The efficient carbon tax follows an inverse-U-shaped path and grows more slowly than the Hotelling tax. Economic models that assume exponentially increasing carbon taxes are overestimating the cost of limiting warming, overestimating the efficient near-term carbon tax, and overvaluing technologies that mature sooner.
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