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DC Field | Value | Language |
---|---|---|
dc.contributor.author | MUNDA Giuseppe | en_GB |
dc.contributor.author | NARDO Michela | en_GB |
dc.contributor.author | SAISANA Michaela | en_GB |
dc.contributor.author | SREBOTNJAK Tanja | en_GB |
dc.date.accessioned | 2010-02-25T18:31:40Z | - |
dc.date.available | 2009-07-07 | en_GB |
dc.date.available | 2010-02-25T18:31:40Z | - |
dc.date.created | 2009-07-07 | en_GB |
dc.date.issued | 2009 | en_GB |
dc.date.submitted | 2008-08-06 | en_GB |
dc.identifier.citation | International Journal of Environmental Technology and Management (IJETM) vol. 11 no. 1/2/3 p. 7-26 | en_GB |
dc.identifier.issn | 1466-2132 | en_GB |
dc.identifier.uri | http://www.inderscience.com/browse/index.php?journalID=11 | en_GB |
dc.identifier.uri | http://publications.jrc.ec.europa.eu/repository/handle/JRC47032 | - |
dc.description.abstract | Composite indicators are very common in economic and business statistics for benchmarking the relative progress of countries in a variety of policy domains such as industrial competitiveness, sustainable development, globalisation and innovation. This article provides an analysis of the key uncertainties underlying the mathematical modelling used to construct composite indicators within the broader context of sustainability measurement. A case study of the Environmental Sustainability Index illustrates how these uncertainties can be modelled and estimated. | en_GB |
dc.description.sponsorship | JRC.G.9-Econometrics and applied statistics | en_GB |
dc.format.medium | Printed | en_GB |
dc.language | ENG | en_GB |
dc.publisher | Inderscience Publishers | en_GB |
dc.relation.ispartofseries | JRC47032 | en_GB |
dc.title | Measuring Uncertainties in Composite Indicators of Sustainability | en_GB |
dc.type | Articles in periodicals and books | en_GB |
JRC Directorate: | Space, Security and Migration |
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