language-icon Old Web
English
Sign In

EU Trade in Value Added

2020 
The European Commission identified trade policy as a core component of the European Union's 2020 Strategy. The fast changing global economy, characterised by the dynamic creation of business opportunities and increasingly complex production chains, means that it is now even more important to fully understand how global value chains affect value added. Gathering comprehensive, reliable and comparable information on this is crucial to support evidence-based policymaking. Guided by that objective, the European Commission's Joint Research Centre (JRC) has produced this publication. It aims to be a valuable tool for trade policymakers. The report features a series of indicators to illustrate in detail the EU value added dependence on the final demand of each EU Member State, and the value added in each Member State depending on the EU final demand as a whole. This is done using the World Input-Output Database (WIOD), 2016 release, as the main data source. This information has been complemented with data on labour compensation by skill and gender from other sources such as EUKLEMS. Besides, indicators have been also included to account for the inter-dependence between the EU and other world economies. Most indicators cover the period 2000-2014 but, due to data constraints, the indicators on labour compensation by skill and gender are only available from 2008 onwards. The geographical breakdown of the data includes the 28 EU Member States, Australia, Brazil, Canada, China, India, Indonesia, Japan, Mexico, Norway, Russia, South Korea, Switzerland, Turkey, Taiwan, the United States of America, and an aggregate “Rest of the World†region. The information presented in this pocketbook is complemented with a software tool for analyses of global value chains, trade, income and employment. This tool enables a more detailed analysis of the different indicators related to global value chains and includes additional data management and visualization options.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    0
    Citations
    NaN
    KQI
    []
    Baidu
    map