![]() ![]() This allows non-specialists on IO to quickly access IO analysis results and therefore expand the field of influence of IO analysis, as it introduces these non-experts to the topic. The objective of this tool is to facilitate the GVC analysis, allowing the user to focus on the research questions and the analysis of the results instead of on the coding of the IO model, which often exhausts most of the time. This makes calculating, for instance, tailored footprints or domestic/foreign value added and double counted components of bilateral gross exports easier than ever before. The users can control the industries and countries in each step of the value chain and summarize according to their needs the results on the impacts on value added, employment, emissions and subcategories of each of them (labour/capital compensation, skills/age groups, different gasses, etc.). TiVA, footprints) with MRIO databases (OECD ICIO, WIOD and EXIOBASE). Trade-SCAN v2 allows to quickly and easily disentangle (without coding, but using a graphical user interface) the factors embodied in trade (i.e. The European Commission's Joint Research Centre has developed, with BC3 - Basque Centre for Climate Change Research - and the University of Groningen, a new version of the user-friendly computer tool called Trade Supply Chain Analysis (Trade-SCAN), now open to users outside of the European Commission. This infographics complements the information presented in the new report: “ EU exports to the World: Effects on Employment – Edition 2021” allowing for browsing across the results in a user-friendly manner. The information presented in this pocketbook is complemented with an online interactive map providing extra visualisations for the EU and its Member States. All indicators relate to EU exports to the rest of the world to reflect the scope of EU external trade policymaking. Furthermore, the analysis will complement this information with detailed data on employment by industry, skill, age and gender using other complementary employment statistics. This report illustrates in detail the relationship between trade and employment for the EU as a whole and for each EU Member State, using the World Input-Output Database (release 2016). Against this background, the Directorate General for TRADE (DG TRADE) and the European Commission’s Joint Research Centre (JRC) have prepared a new updated version of two published studies in 20, where this time the EU figures correspond to 27 Member States (excluding United Kingdom) and projections have been included for 2019. One of the headline actions is to support an informed discussion on trade policy by inter-alia conducting analytical work on the impact of trade policies on employment. As stated in the new Trade Policy Strategy set out by the European Commission (2021), the European Union puts the focus on open strategic autonomy, building on open trade and cooperation to defend EU interests and values. Trade is at the centre of Europe’s model of economic prosperity and competitiveness. The geographical breakdown of the data includes the 27 EU Member States, Australia, Brazil, Canada, China, India, Indonesia, Japan, Mexico, Norway, Russia, South Korea, Switzerland, Taiwan, Turkey, United Kingdom, and the United States of America, and an aggregate “Rest of the World” region. All indicators relate to EU exports to the rest of the world to reflect the scope of EU external trade policymaking.Īll indicators are available from 2000 until 2019 (or from 2008 to 2019 for age, gender and education level). The report illustrates in detail the relationship between trade and employment for the EU as a whole and for each EU Member State, using the World Input-Output Database (release 2016). This infographic complements the information presented in the new report: “EU exports to the world: effects on employment – Edition 2021” allowing for browsing across the results in a user-friendly manner.
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