eprintid: 2325 rev_number: 11 eprint_status: archive userid: 6 dir: disk0/00/00/23/25 datestamp: 2014-10-20 13:11:24 lastmod: 2014-10-20 13:11:24 status_changed: 2014-10-20 13:11:24 type: monograph metadata_visibility: show creators_name: Zhu, Zhen creators_name: Puliga, Michelangelo creators_name: Cerina, Federica creators_name: Chessa, Alessandro creators_name: Riccaboni, Massimo creators_id: zhen.zhu@imtlucca.it creators_id: michelangelo.puliga@imtlucca.it creators_id: creators_id: alessandro.chessa@imtlucca.it creators_id: massimo.riccaboni@imtlucca.it title: Global value trees ispublished: pub subjects: HB subjects: HD divisions: EIC full_text_status: public monograph_type: imt_eic_working_paper keywords: Keywords: Complex Networks; Tree; Input-Output; Value-Added; Globalization - JEL Codes: C67, F10, F15 - PACS numbers: 89.65.Gh; 89.75.-k; 05.10.-a abstract: The fragmentation of production across countries has become an important feature of the globalization in recent decades and is often conceptualized by the term, global value chains (GVCs). When empirically investigating the GVCs, previous studies are mainly interested in knowing how global the GVCs are rather than how the GVCs look like. From a complex networks perspective, we use the World Input-Output Database (WIOD) to study the global production system. We find that the industry-level GVCs are indeed not chain-like but are better characterized by the tree topology. Hence, we compute the global value trees (GVTs) for all the industries available in the WIOD. Moreover, we compute an industry importance measure based on the GVTs and compare it with other network centrality measures. Finally, we discuss some future applications of the GVTs. date: 2014-10 date_type: published number: 11 publisher: IMT Institute for Advanced Studies Lucca pages: 16 institution: IMT Institute for Advanced Studies Lucca issn: 2279-6894 citation: Zhu, Zhen and Puliga, Michelangelo and Cerina, Federica and Chessa, Alessandro and Riccaboni, Massimo Global value trees. EIC working paper series #11/2014 IMT Institute for Advanced Studies Lucca ISSN 2279-6894. document_url: http://eprints.imtlucca.it/2325/1/EIC_WP_11_2014.pdf