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Global Value Trees

Author

Listed:
  • Zhen Zhu
  • Michelangelo Puliga
  • Federica Cerina
  • Alessandro Chessa
  • Massimo Riccaboni

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 evolution of 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.

Suggested Citation

  • Zhen Zhu & Michelangelo Puliga & Federica Cerina & Alessandro Chessa & Massimo Riccaboni, 2015. "Global Value Trees," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    • Handle: RePEc:plo:pone00:0126699
    DOI: 10.1371/journal.pone.0126699
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    References listed on IDEAS

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    1. Zhu, Zhen & Morrison, Greg & Puliga, Michelangelo & Chessa, Alessandro & Riccaboni, Massimo, 2018. "The similarity of global value chains: A network-based measure," Network Science, Cambridge University Press, vol. 6(4), pages 607-632, December.
    2. João Amador & Sónia Cabral & Rossana Mastrandrea & Franco Ruzzenenti, 2018. "Who’s Who in Global Value Chains? A Weighted Network Approach," Open Economies Review, Springer, vol. 29(5), pages 1039-1059, November.
    3. Patricio Aroca & Randall Jackson, 2018. "Value Chains: Production Upstreamness and Downstreamness Revisited," Working Papers Working Paper 2018-01_R1, Regional Research Institute, West Virginia University.
    4. Barberis, Eduardo & Freddi, Daniela & Giammetti, Raffaele & Polidori, Paolo & Teobaldelli, Désirée & Viganò, Elena, 2020. "Trade Relationships in the European Pork Value Chain: A Network Analysis," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 22(1), May.
    5. Vahid Moosavi & Giulio Isacchini, 2017. "A Markovian model of evolving world input-output network," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-18, October.
    6. Federica Cerina & Zhen Zhu & Alessandro Chessa & Massimo Riccaboni, 2015. "World Input-Output Network," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-21, July.
    7. Kang, Dongsuk & Lee, Duk Hee, 2017. "Energy shocks and detecting influential industries," Energy, Elsevier, vol. 125(C), pages 234-247.
    8. Silvia Sopranzetti, 2018. "The Italian Districts in the Global Value Chains," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 4(3), pages 497-522, November.
    9. Wu, Gang & Pu, Yue & Shu, Tianran, 2021. "Features and evolution of global energy trade network based on domestic value-added decomposition of export," Energy, Elsevier, vol. 228(C).
    10. Luca Salvatici & Silvia Nenci, 2017. "New features, forgotten costs and counterfactual gains of the international trading system," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(4), pages 592-633.
    11. Vahid Moosavi & Giulio Isacchini, 2016. "A Markovian Model of the Evolving World Input-Output Network," Papers 1612.06186, arXiv.org, revised Sep 2017.

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