| Summary: | 碩士 === 國立高雄大學 === 應用經濟學系碩士班 === 107 === This paper establishes the heterogeneous IEA’s model to analyze self-enforcing
international environmental agreements (SEIEA). Countries face the uncertainty of
cost-benefit ratio in abatement decision, but it is assumed that all countries are able to
know the outcome at the same time by learning, reduce emission. This paper analyzes
whether the country joins IEA and reduces emission.
We indicate that, with a heterogeneous model and three different modes of learning,
results under no learning and partial learning are different from the model in
Kolstand(2007) without heterogeneity. In the absence of heterogeneity the size of IEA
under no learning is larger than partial learning, so learning reduces the size of IEA;
with heterogeneity, the biggest IEA under no learning is the smallest, but that of partial
learning is larger than complete learning. To the contrary, the ranking of minimum size
of IEA is the same, i.e., the minimal size of complete learning is largest, followed by
no learning and partial learning.
Also, when the probability of good outcome is large enough, the increase in learning
enhances the size of IEA. Otherwise, the increase in learning will reduce the size of
IEA. When the risk is higher, the size of IEA will be reduced under full learning of the
bad situation or no learning. When the heterogeneity among countries is not significant,
the size of IEA will decline if the low cost-benefit ratio increases. However, if the high
cost-benefit ratio rises, the size of IEA is not changed
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