{"title":"评估环境研究基础设施的经济影响:方法工具概述","authors":"R. Kalaydjian","doi":"10.5194/GC-3-19-2020","DOIUrl":null,"url":null,"abstract":"Abstract. The data generated by environmental research infrastructures (ENV RIs) are key to analysing the quality of general living standards and the\nconditions of development of environmentally sensitive economic activities:\nmonitoring the atmosphere and ocean is increasingly and critically important\nin a context marked by the risks caused by global warming. Given the cost of ENV RIs, their benefits to society, in terms of economic\nimpacts, must be assessed and demonstrated. The primary objective of this\narticle is to review the main tools used to assess the economic impacts of\nENV RIs and to propose a methodological framework. The latter classifies the\nimpacts into three categories: (1) upstream impacts on equipment suppliers;\n(2) downstream impacts on the performance and quality of observational data,\nmonitoring services and forecasts; and (3) feedback impacts in terms of improved\nknowledge about the environment to the benefit of economic activities. In this\nframework, the entire data and service supply chain is considered for the\nassessment of impacts. An ocean-related case study serves as a practical example: Argo, a global\nin situ ocean observing system, provides an understanding of the supply chain\nfrom upstream suppliers of ENV RIs to primary and processed ocean data\nproviders. It highlights the methodological issues involved in assessing the\ndifferent categories of impacts. The article gives precedence to tried and tested methods. It concludes that\nfurther work and more data are needed to improve assessment methods.\n","PeriodicalId":52877,"journal":{"name":"Geoscience Communication","volume":"141 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Assessing economic impacts of environmental research infrastructures: overview of methodological tools\",\"authors\":\"R. Kalaydjian\",\"doi\":\"10.5194/GC-3-19-2020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. The data generated by environmental research infrastructures (ENV RIs) are key to analysing the quality of general living standards and the\\nconditions of development of environmentally sensitive economic activities:\\nmonitoring the atmosphere and ocean is increasingly and critically important\\nin a context marked by the risks caused by global warming. Given the cost of ENV RIs, their benefits to society, in terms of economic\\nimpacts, must be assessed and demonstrated. The primary objective of this\\narticle is to review the main tools used to assess the economic impacts of\\nENV RIs and to propose a methodological framework. The latter classifies the\\nimpacts into three categories: (1) upstream impacts on equipment suppliers;\\n(2) downstream impacts on the performance and quality of observational data,\\nmonitoring services and forecasts; and (3) feedback impacts in terms of improved\\nknowledge about the environment to the benefit of economic activities. In this\\nframework, the entire data and service supply chain is considered for the\\nassessment of impacts. An ocean-related case study serves as a practical example: Argo, a global\\nin situ ocean observing system, provides an understanding of the supply chain\\nfrom upstream suppliers of ENV RIs to primary and processed ocean data\\nproviders. It highlights the methodological issues involved in assessing the\\ndifferent categories of impacts. The article gives precedence to tried and tested methods. It concludes that\\nfurther work and more data are needed to improve assessment methods.\\n\",\"PeriodicalId\":52877,\"journal\":{\"name\":\"Geoscience Communication\",\"volume\":\"141 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoscience Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/GC-3-19-2020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/GC-3-19-2020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Assessing economic impacts of environmental research infrastructures: overview of methodological tools
Abstract. 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. 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. 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. The article gives precedence to tried and tested methods. It concludes that
further work and more data are needed to improve assessment methods.