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World Input-Output Network

Author

Listed:
  • Federica Cerina

    (Department of Physics, University of Cagliari)

  • Zhen Zhu

    (IMT School for Advanced Studies Lucca)

  • Alessandro Chessa

    (IMT School for Advanced Studies Lucca)

  • Massimo Riccaboni

    (IMT School for Advanced Studies Lucca)

Abstract

Economic systems, traditionally analyzed as almost independent national systems, are increasingly connected on a global scale. Only recently becoming available, the World Input-Output Database (WIOD) is one of the first efforts to construct the multi-regional input-output (MRIO) tables at the global level. By viewing the world input-output system as an interdependent network where the nodes are the individual industries in different economies and the edges are the monetary goods ows between industries, we study the network properties of the so-called world input-output network (WION) and document its evolution over time. We are able to quantify not only some global network properties such as assortativity, clustering coeficient, and degree and strength distributions, but also its subgraph structure and dynamics by using community detection techniques. Over time, we detect a marked increase in cross-country connectivity of the production system, only temporarily interrupted by the 2008-2009 crisis. Moreover, we find a growing input-output regional community in Europe led by Germany and the rise of China in the global production system. Finally, we use the network-based PageRank centrality and community coreness measure to identify the key industries and economies in the WION and the results are different from the one obtained by the traditional final-demand-weighted backward linkage measure.

Suggested Citation

  • Federica Cerina & Zhen Zhu & Alessandro Chessa & Massimo Riccaboni, 2014. "World Input-Output Network," Working Papers 6/2014, IMT School for Advanced Studies Lucca, revised Jul 2014.
  • Handle: RePEc:ial:wpaper:6/2014
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    Citations

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    Cited by:

    1. Rita María del Río-Chanona & Jelena Grujić & Henrik Jeldtoft Jensen, 2017. "Trends of the World Input and Output Network of Global Trade," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    2. Xing, Lizhi & Guan, Jun & Wu, Shan, 2018. "Measuring the impact of final demand on global production system based on Markov process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 148-163.
    3. He, Xijun & Dong, Yanbo & Wu, Yuying & Wei, Guodan & Xing, Lizhi & Yan, Jia, 2017. "Structure analysis and core community detection of embodied resources networks among regional industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 137-150.
    4. Vinicius Cardoso De Barros Fornari & Rogério Gomes, 2016. "Mudanças Recentes Nas Relações Intersetoriais: Um Exame Das Atividades De Serviço E Industriais A Partir Da Análise De Insumo-Produto E De Redes," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 160, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Alessandro Chessa & Irene Crimaldi & Massimo Riccaboni & Luca Trapin, 2014. "Cluster Analysis of Weighted Bipartite Networks: A New Copula-Based Approach," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
    6. 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.
    7. Xing, Lizhi & Wang, Dawei & Li, Yan & Guan, Jun & Dong, Xianlei, 2020. "Simulation analysis of the competitive status between China and Portuguese-speaking countries under the background of one belt and one road initiative," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    8. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.

    More about this item

    Keywords

    Complex Networks; Input-Output; PageRank Centrality; Community Detection;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • F10 - International Economics - - Trade - - - General
    • F15 - International Economics - - Trade - - - Economic Integration

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