Dataset Information

Economic valuation for policy support in the context of ecosystem-based adaptation to climate change: An indicator, integrated based approach.

ABSTRACT: Ecosystem-based adaptation (EbA) includes a set of natural capital-based measures to adapt to climate change. UN Environment has called for measuring EbA costs and benefits before promoting the adoption of such a policy. Within such policy input, the paper objective is twofold. It first performs a critical survey of economic and valuation studies that measure the costs and benefits of undertaking EBA measures. It then proposes an integrated valuation approach, based on a set of 54 economic indicators that include ecological aspects and encompass the technical, financial and academic difficulties to perform thorough cost-benefit exercises, by providing policymakers with simple, though rigorous evidence.

SUBMITTER: Onofri L

PROVIDER: S-EPMC7452550 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Economic valuation for policy support in the context of ecosystem-based adaptation to climate change: An indicator, integrated based approach.

Onofri Laura L Nunes Paulo A L D PALD

Heliyon 20200821 8

Ecosystem-based adaptation (EbA) includes a set of natural capital-based measures to adapt to climate change. UN Environment has called for measuring EbA costs and benefits before promoting the adoption of such a policy. Within such policy input, the paper objective is twofold. It first performs a critical survey of economic and valuation studies that measure the costs and benefits of undertaking EBA measures. It then proposes an integrated valuation approach, based on a set of 54 economic indic ...[more]

PMID: 32904292

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Project description: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.

Dataset Information

Economic valuation for policy support in the context of ecosystem-based adaptation to climate change: An indicator, integrated based approach.

Publications

Economic valuation for policy support in the context of ecosystem-based adaptation to climate change: An indicator, integrated based approach.

Similar Datasets

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