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Global networks of trade and bits

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  • Massimo Riccaboni
  • Alessandro Rossi
  • Stefano Schiavo

Abstract

Considerable efforts have been made in recent years to produce detailed topologies of the Internet, but so far these data have been overlooked by economists. In this paper, we suggest that such information could be used to characterize both the size of the digital economy and outsourcing at country level. We analyse the topological structure of the network of trade in digital services (trade in bits) and compare it with the more traditional flow of manufactured goods across countries. To perform meaningful comparisons across networks with different characteristics, we define a stochastic benchmark for the number of connections among each country-pair, based on hypergeometric distribution. Original data are filtered so that we only focus on the strongest, i.e. statistically significant, links. We find that trade in bits displays a sparser and less hierarchical network structure, which is more similar to trade in high-skill manufactured goods than total trade. Moreover, distance plays a more prominent role in shaping the network of international trade in physical goods than trade in digital services. Copyright Springer-Verlag 2013

Suggested Citation

  • Massimo Riccaboni & Alessandro Rossi & Stefano Schiavo, 2013. "Global networks of trade and bits," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 33-56, April.
  • Handle: RePEc:spr:jeicoo:v:8:y:2013:i:1:p:33-56
    DOI: 10.1007/s11403-012-0101-x
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    Citations

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    Cited by:

    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. Zhen Zhu & Federica Cerina & Alessandro Chessa & Guido Caldarelli & Massimo Riccaboni, 2014. "The Rise of China in the International Trade Network: A Community Core Detection Approach," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-8, August.
    3. Julia Bock-Schappelwein & Michael Böheim & Elisabeth Christen & Stefan Ederer & Matthias Firgo & Klaus Friesenbichler & Werner Hölzl & Mathias Kirchner & Angela Köppl & Agnes Kügler & Christine Mayrhu, 2018. "Politischer Handlungsspielraum zur optimalen Nutzung der Vorteile der Digitalisierung für Wirtschaftswachstum, Beschäftigung und Wohlstand," WIFO Studies, WIFO, number 61256, March.
    4. Sgrignoli, Paolo & Metulini, Rodolfo & Schiavo, Stefano & Riccaboni, Massimo, 2015. "The relation between global migration and trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 245-260.
    5. Rodolfo Metulini & Massimo Riccaboni & Paolo Sgrignoli & Zhen Zhu, 2017. "The Indirect Effects of FDI on Trade: A Network Perspective," Working Papers 04/2017, IMT School for Advanced Studies Lucca, revised Mar 2017.
    6. Rodolfo Metulini & Paolo Sgrignoli & Stefano Schiavo & Massimo Riccaboni, 2018. "The network of migrants and international trade," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 763-787, December.
    7. Zhang, Shuhong & Wang, Lin & Liu, Zhixin & Wang, Xiaofan, 2016. "Evolution of international trade and investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 752-763.
    8. 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.
    9. 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.
    10. Rodolfo Metulini & Paolo Sgrignoli & Stefano Schiavo & Massimo Riccaboni, 2014. "The migration network effect on international trade," Working Papers 5/2014, IMT School for Advanced Studies Lucca, revised May 2014.
    11. Gutiérrez-Moya, Ester & Lozano, Sebastián & Adenso-Díaz, Belarmino, 2023. "A pre-pandemic analysis of the global fertiliser trade network," Resources Policy, Elsevier, vol. 85(PB).
    12. Zhen Zhu & Federica Cerina & Alessandro Chessa & Guido Caldarelli & Massimo Riccaboni, 2014. "The rise of China in the international trade network: a community core detection approach," Working Papers 4/2014, IMT School for Advanced Studies Lucca, revised Apr 2014.
    13. Shamnaaz Sufrauj & Stefano Schiavo & Massimo Riccaboni, 2015. "Big hits, export concentration and volatility," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 32(2), pages 135-166, August.
    14. Svetlana V. Orekhova & Andrey V. Misyura & Evgeny V. Kislitsyn, 2020. "Managing the increasing returns of a high-tech business model in industry: Classic and ecosystem effects," Upravlenets, Ural State University of Economics, vol. 11(4), pages 43-58, September.
    15. Michael Böheim & Elisabeth Christen & Matthias Firgo & Klaus Friesenbichler & Philipp Piribauer, 2018. "Auswirkungen der Digitalisierung auf die Entwicklung von Wirtschaftsräumen," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(12), pages 881-890, December.

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    More about this item

    Keywords

    Internet; International trade; Network analysis; Distance; Outsourcing; Hypergeometric; F14; L86; O33;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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