Assessing economic impacts of environmental research infrastructures: overview of methodological tools

<p>The data generated by environmental research infrastructures (ENV RIs) are key to analysing the quality of general living standards and the conditions of development of environmentally sensitive economic activities: monitoring the atmosphere and ocean is increasingly and critically importan...

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Bibliographic Details
Main Author: R. Kalaydjian
Format: Article
Language:English
Published: Copernicus Publications 2020-03-01
Series:Geoscience Communication
Online Access:https://www.geosci-commun.net/3/19/2020/gc-3-19-2020.pdf
Description
Summary:<p>The data generated by environmental research infrastructures (ENV RIs) are key to analysing the quality of general living standards and the conditions of development of environmentally sensitive economic activities: monitoring the atmosphere and ocean is increasingly and critically important in a context marked by the risks caused by global warming.</p> <p>Given the cost of ENV RIs, their benefits to society, in terms of economic impacts, must be assessed and demonstrated. The primary objective of this article is to review the main tools used to assess the economic impacts of ENV RIs and to propose a methodological framework. The latter classifies the impacts into three categories: (1) upstream impacts on equipment suppliers; (2) downstream impacts on the performance and quality of observational data, monitoring services and forecasts; and (3) feedback impacts in terms of improved knowledge about the environment to the benefit of economic activities. In this framework, the entire data and service supply chain is considered for the assessment of impacts.</p> <p>An ocean-related case study serves as a practical example: Argo, a global in situ ocean observing system, provides an understanding of the supply chain from upstream suppliers of ENV RIs to primary and processed ocean data providers. It highlights the methodological issues involved in assessing the different categories of impacts.</p> <p>The article gives precedence to tried and tested methods. It concludes that further work and more data are needed to improve assessment methods.</p>
ISSN:2569-7102
2569-7110