https://repositories.lib.utexas.edu/handle/2152/86617

*Uncertainty in cost-benefit analysis of climate policy: climate-economy
model evaluation and extension*
Milad Eghtedari Naeini

*Abstract*

Global warming is one of the major environmental challenges of the modern
era. Current CO₂ emissions produced by humans exceed 40 GtCO₂ per year
which will cause global temperature change to reach 4° C or more with
probability of 20-60 percent, in spite of attempts to reduce CO₂ emissions
in last decades. Therefore, geoengineering could be essential to limit
global warming well below 2° C relative to pre-industrial levels and avoid
substantial damages. This global warming and climate change cause economic
damages which measured by social cost of carbon (SCC). The goal of this
dissertation is to assess the uncertainty in cost-benefit analysis of
climate change and corresponding damages. The three main chapters of this
dissertation begin with retrospectively assessing the role of uncertainty
in explaining changes in SCC estimates over time. Then stochastic
optimization versions of DICE embedded with two geoengineering options
(i.e., solar radiation management and direct air capture) to investigate
their abilities to rapidly counteract climate change and assess whether
their potential future availability changes the optimal near-term abatement
path. Finally, effect of possible economic shock on the optimal near-term
abatement path is assessed. Also, we implement constant elasticity of
substitution (CES) utility function that includes consumption and climate
health as inputs, where we can control the degree of substitutability
between the two to reflect the limited ability to substitute economic well
being for a desirable climate. The three sections of this dissertation
analyze uncertainty in climate change and optimal responses to that. Each
looks at different uncertain components of climate change including climate
model, carbon cycle, and economic model. We conclude this dissertation with
comprehensive insights on uncertainty in climate model, geoengineering
techniques, and economic situation.

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