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Using a final ecosystem goods and services approach to support policy analysis

机译:使用最终的生态系统商品和服务方法来支持政策分析

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Evaluating environmental policies requires estimating the impacts of policy‐induced changes on ecological and human systems. Drawing connections between biophysical and economic models is complex due to the multidisciplinary nature of the task and the lack of data. Further, time and resource constraints typically limit our ability to conduct original valuation studies to fit the specific policy context. Policy analysts thus rely on methods to transfer and adapt value estimates from existing studies. To conduct end‐to‐end policy analysis, assumptions are needed to make the linkages between ecological and valuation models as well as to conduct benefit transfers. This paper discusses an approach that can potentially help a policy analyst to minimize assumptions and identify appropriate caveats. This approach focuses on what human beings truly value from ecosystems, or, in other words, metrics of Final Ecosystem Goods and Services ( FEGS ). Our hypothesis is that the FEGS approach will help support policy analysis by drawing important linkages between ecological and economic models as well as by designing valuation studies that will be more conducive to benefit transfers. To examine this hypothesis, we use a selected set of existing valuation studies as case study examples, and we examine how the methods used in these studies compare with the FEGS approach. We find that the studies are not always consistent with the FEGS approach, in many cases due to data limitations. We illustrate ways in which using FEGS metrics can provide economists with a useful starting point for considering how the commodity can be defined and specified in the valuation study. Even if data limitations exist, a FEGS approach can help in determining whether the context in which the original study was conducted matches with the policy context. This can also help in determining the extent of uncertainty associated with the analysis and in providing transparent documentation that can be informative for policy makers.
机译:评估环境政策需要估算政策诱导的变化对生态和人类系统的影响。由于任务的多学科性质和缺乏数据,绘制生物物理和经济模型之间的连接是复杂的。此外,时间和资源限制通常限制我们进行原始估值研究的能力,以适应特定的政策背景。因此,政策分析师依靠方法来转移和适应现有研究的价值估计。为了进行端到端的政策分析,需要假设来制定生态和估值模型之间的联系,以及进行福利转移。本文讨论了一种方法,可能有助于政策分析师尽量减少假设并确定适当的警告。这种方法侧重于人类真正来自生态系统的价值,或者换句话说,最终生态系统商品和服务的指标(FEGS)。我们的假设是,FEGS方法将通过吸引生态和经济模型之间的重要联系以及设计估值研究,以帮助实现政策分析,这些估值研究将更有利于受益转移。为了检查这一假设,我们使用所选的现有估值研究作为案例研究示例,我们研究了这些研究中使用的方法如何与FEGS方法相比。我们发现,由于数据限制,在许多情况下,研究并不总是符合FEGS方法。我们说明了使用FEG指标可以提供经济学家,以考虑如何在估值研究中定义和指定商品的有用起点。即使存在数据限制,FEGS方法也可以有助于确定原始研究是否与策略上下文进行匹配的上下文。这也有助于确定与分析相关的不确定性以及提供可以提供信息量的透明文件的不确定性程度。

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