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Valuing uncertainty part Ⅱ: the impact of risk charges in dealing with time issues in lifecycle analysis and GHG accounting

机译:评估不确定性第二部分:生命周期分析和温室气体核算中风险费用对处理时间问题的影响

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摘要

Background: We have greater certainty for what has happened in the past than for what will happen in the future. Uncertainty on the impact and value of emissions can be very large. Given all of the elements of uncertainty, we are challenged to set global targets for limiting the environmental impact of emissions, to distribute those targets among the many parties responsible for emissions, to evaluate the trajectories toward targets, to understand the risk involved in not meeting targets, to motivate the collective efforts and burden sharing or trading, and to verify that targets have been achieved. We need a clear and consistent framework for dealing with uncertainty and in this article we use the notion of a risk charge on uncertainty to investigate issues of time in GHG and lifecycle analysis accounting. Results: We address critical issues of short-term storage, time horizons, permanence, trading agreements and model error, and explain the consequences of a risk charge on the associated uncertainties. Conclusions: We demonstrate here how the framework we have built naturally extends to address most types of issues that might arise in placing a value on the uncertainty of GHG emissions, and in quantifying management trade-offs and policy strategies for mitigation and adaptation of climate change.
机译:背景:与过去发生的事情相比,我们对过去发生的事情具有更大的把握。排放影响和价值的不确定性可能非常大。考虑到不确定性的所有要素,我们面临挑战,要求制定全球目标以限制排放对环境的影响,将这些目标分配给许多负责排放的当事方,评估实现目标的轨迹,了解未达到目标所涉及的风险目标,以激发集体努力和负担分担或交易,并验证是否已实现目标。我们需要一个清晰一致的框架来处理不确定性,在本文中,我们使用对不确定性的风险收费概念来调查温室气体和生命周期分析会计中的时间问题。结果:我们解决了短期存储,时间跨度,永久性,交易协议和模型错误等关键问题,并解释了风险费用对相关不确定性的影响。结论:我们在这里证明我们建立的框架是如何自然扩展的,以解决可能会出现的大多数类型的问题,这些问题可能是在评估温室气体排放的不确定性,量化管理权衡和缓解和适应气候变化的政策策略方面。

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  • 来源
    《Carbon Management》 |2014年第1期|43-53|共11页
  • 作者单位

    Department of Mathematical Sciences, Appalachian State University, Boone, NC 28608, USA;

    Department of Mathematical Sciences, Appalachian State University, Boone, NC 28608, USA;

    Department of Mathematical Sciences, Appalachian State University, Boone, NC 28608, USA;

    Department of Mathematical Sciences, Appalachian State University, Boone, NC 28608, USA;

    Research Institute for Environment, Energy, & Economics, Appalachian State University, Boone, NC 28608, USA;

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  • 入库时间 2022-08-17 23:19:47

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