Polluting resource extraction and climate risk

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Natural Resource Modeling Pub Date : 2022-08-18 DOI:10.1111/nrm.12354
Israa Hashem, Walid Marrouch
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引用次数: 2

Abstract

Using a fossil fuel extraction model that treats the atmosphere as a depletable resource, we study the optimal price of carbon in the presence of endogenous uncertainty around a climatic regime shift. We find that the optimal carbon tax should account an uncertainty‐adjusted cost term associated with the environment's scarcity. This term is shown to be sensitive to the natural sequestration rate of the atmosphere and to the probability surrounding a climate tail event. Our analysis also shows that in the presence of uncertainty, the shadow price of the environment should grow at a faster rate. Lastly, compared to the endogenous uncertainty case, we find that if the probability surrounding a regime shift is exogenously given, this shadow price should even grow at a higher rate.
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污染资源开采和气候风险
使用将大气视为可消耗资源的化石燃料开采模型,我们研究了在气候制度转变存在内生不确定性的情况下碳的最佳价格。我们发现,最优碳税应该考虑与环境稀缺性相关的不确定性调整成本项。这一术语被证明对大气的自然固存率和气候尾部事件周围的概率很敏感。我们的分析还表明,在存在不确定性的情况下,环境的影子价格应该以更快的速度增长。最后,与内生不确定性情况相比,我们发现,如果围绕政权更迭的概率是外生的,那么这种影子价格甚至应该以更高的速度增长。
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来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
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