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Anticipating Climate Threshold Damages

机译:预期气候阈值损失

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Several integrated assessment studies have concluded that future learning about the uncertainties involved in climate change has a considerable effect on welfare but only a small effect on optimal short-term emissions. In other words, learning is important but anticipation of learning is not. We confirm this result in the integrated assessment model "model of investment and technological development" for learning about climate sensitivity and climate damages. If learning about an irreversible threshold is included, though, we show that anticipation can become crucial both in terms of necessary adjustments of pre-learning emissions and resulting welfare gains. We specify conditions on the time of learning and the threshold characteristic, for which this is the case. They can be summarized as a narrow "anticipation window."
机译:几项综合评估研究得出的结论是,未来对气候变化不确定性的了解对福利有很大影响,但对短期最佳排放影响很小。换句话说,学习很重要,但是对学习的期望却不重要。我们在综合评估模型“投资和技术开发模型”中确认了这一结果,以了解气候敏感性和气候损害。但是,如果包括对不可逆阈值的了解,那么我们表明,就学习前排放的必要调整和由此产生的福利收益而言,预期可能变得至关重要。我们指定了学习时间的条件和阈值特征。它们可以概括为一个狭窄的“预期窗口”。

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