8c8080ba-d76e-4fa3-ae4d-f39d9c5147d5 English MD_CharacterSetCode_utf8 Dataset (e.g. an inventory, database or compilation of data) dataset British Geological Survey Contact for the metadata enquiries@bgs.ac.uk pointOfContact 2024-11-07 ISO19115 2003/Cor.1:2006 World Input-Output Database (WIOD) 2017-05-22 creation 2017-05-22 publication 2017-05-22 revision WIOD2013 MICA WP3 2018-11-03T15:16:00 Record extracted from Batch 3 spreadsheet MICA_B3-211 https://www.mica-project.eu/ No other citation details provided The World Input-Output Database (WIOD) 2013 Release consists of a series of databases and covers 27 EU countries and 13 other major countries in the world for the period from 1995 to 2011. The Input Output Tables section presents the 2013 Release of the World Input-Output Tables (World IO Tables) including 40 countries and a model for the rest of the world. Deflated WIOTs in Previous Years' Prices (World IO Tables PYP) are available, as well as national aggregations (National IO Tables) and regional aggregations (Regional IOTables) of the WIOTs. Additionally the underlying International Supply and Use Tables (International SUTs). National Supply and Use Tables (National SUTs), and Input files for National SUTs (Input for SUTs) are available in this section. The Socio Economic accounts section contains data on employment (number of workers and educational attainment), capital stocks, gross output and value added at current and constant prices at the industry level. The environmental accounts contain data on energy use, CO2 emissions and emissions to air at the industry level. Website: http://www.wiod.org/home The EEIOT (Environmentally Extended Input Output Table) in first instance is an accounting method. The advantage of the EEIOT is the integrated monitoring of environmental and economic data. For this reason the EEIOA framework is an appropriate method to derive indicators for eco-efficiency and resource efficiency. If these data are transformed into factors the EEIO accounting framework is transformed into an EEIO model. The EEIO model may be employed in various ways in order to analyze on a macro level both ex-post and ex-ante environmental effects of changes in demand of goods, technology of processes or structure of the economy. wiod@rug.nl Contact for the resource described by the metadata Groningen The Netherlands wiod@rug.nl http://www.wiod.org/home WWW:LINK-1.0-http--link http://www.wiod.org/home Link for further information on the resource Party that supplies the resource https://resources.bgs.ac.uk/images/minerals/micaGraphic/B3/MICA_B3-211.JPG MICA dataCentre Mixture of historic (up to 2005) and recent (2006 onwards) MICA ontology (TemporalScheme) 2 Statistical data / Electronic (Statistical data) (e.g. web portals) MICA ontology (DataScheme) 2 Requirement for data generation: Other (please specify) or unknown Method of data or information generation: Academic research Environmental impact assessment GEMET Concepts 2014-07-25 revision 2 Environmental pollution GEMET Concepts 2014-07-25 revision 2 Exports GEMET Concepts 2014-07-25 revision 2 Imports GEMET Concepts 2014-07-25 revision 2 Minerals GEMET Concepts 2014-07-25 revision 2 Other economic activities GEMET Concepts 2014-07-25 revision 2 Prices GEMET Concepts 2014-07-25 revision 2 Production GEMET Concepts 2014-07-25 revision 2 Resources GEMET Concepts 2014-07-25 revision 2 Society GEMET Concepts 2014-07-25 revision 2 Waste flows GEMET Concepts 2014-07-25 revision 2 Anthracite INSPIRE commodities Bituminous coal INSPIRE commodities Other hard coal INSPIRE Fossil Fuel Lignite INSPIRE commodities Crude oil INSPIRE Fossil Fuel Oil shale INSPIRE Fossil Fuel Natural gas INSPIRE Fossil Fuel Pyrite INSPIRE commodities Phosphate rock INSPIRE commodities Potash INSPIRE commodities Bentonite INSPIRE commodities EU industry sectors (Demand) MICA ontology (DomainScheme) 2 Investment MICA ontology (DomainScheme) 2 Primary raw materials (Production) MICA ontology (DomainScheme) 2 CN codes MICA ontology (DomainScheme) 2 Environmental footprints MICA ontology (DomainScheme) 2 Environmental impacts MICA ontology (DomainScheme) 2 Indicators MICA ontology (DomainScheme) 2 Environmentally extended Input Output Analysis MICA ontology (MethodsScheme) 2017 revision 4 Input Output Analysis MICA ontology (MethodsScheme) 2017 revision 4 Available for free for all purposes Not confidential English geoscientificInformation economy including 43 countries and a model for the rest of the world World; with individual countries listed -180.0000 180.0000 -90.0000 90.0000 WIODt was funded by the European Commission, Research Directorate General as part of the 7th Framework Programme, Theme 8: Socio-Economic Sciences and Humanities. Dataset (e.g. an inventory, database or compilation of data) Data uncertainty Are any uncertainty measures provided (e.g. standard errors, confidence intervals, etc.)? false Quality assurance procedures Are quality assurance procedures described? false Information generation methods Are data or information generation methods formally described? true Record review Reviewed by: British Geological Survey Record validation false Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Organisation source implies that information should be of good quality Metadata is distributed with a CC BY-ND 4.0 (Attribution-NoDerivs 4.0 International) licence