Clustering Value-Added Trade

The paper builds a typology of value-added traders according to their economic and trade policy characteristics. In the process, it defines clusters of countries according to the multidimensional criteria defined by value-added, economic and trade policy indicators. A second approach focuses on the relationships existing between the variables themselves, using multicriteria and graph analysis. Natural resources endowments, on the one hand, and services orientation, on the other one, are among the most determinant variables for defining Trade in Value Added (TiVA) clusters. The level of economic development remains a crucial determinant of the TiVA profile as is the size of the economy, even if not as important as initially expected. Proactive GVC up-grading strategies, such as investments in ICT and R&D tend to foster a higher foreign content in exports, compensating the lower domestic margin by higher volumes. Inwardoriented protectionist policies are not particularly successful in exporting higher share of domestic content, except in services exports; but in this case, export volumes remain marginal.