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On the topological structure of multinationals network

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  • Joyez, Charlie

Abstract

This paper uses a weighted network analysis to examine the structure of multinationals’ implantation countries network. Based on French firm-level dataset of multinational enterprises (MNEs) the network analysis provides information on each country position in the network and in internationalization strategies of French MNEs through connectivity preferences among the nodes. The paper also details network-wide features and their recent evolution toward a more decentralized structure. While much has been said on international trade network, this paper shows that multinational firms’ studies would also benefit from network analysis, notably by investigating the sensitivity of the network construction to firm heterogeneity.

Suggested Citation

  • Joyez, Charlie, 2017. "On the topological structure of multinationals network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 578-588.
  • Handle: RePEc:eee:phsmap:v:473:y:2017:i:c:p:578-588
    DOI: 10.1016/j.physa.2017.01.014
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    References listed on IDEAS

    as
    1. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
    2. Chen, Maggie Xiaoyang & Moore, Michael O., 2010. "Location decision of heterogeneous multinational firms," Journal of International Economics, Elsevier, vol. 80(2), pages 188-199, March.
    3. M. Serrano & Marián Boguñá & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 111-124, December.
    4. Paolo Sgrignoli, 2014. "The World Trade Web: A Multiple-Network Perspective," Papers 1409.3799, arXiv.org.
    5. Amador, João & Cabral, Sónia, 2014. "Global value chains: surveying drivers and measures," Working Paper Series 1739, European Central Bank.
    6. De Masi, G. & Giovannetti, G. & Ricchiuti, G., 2013. "Network analysis to detect common strategies in Italian foreign direct investment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1202-1214.
    7. Barthelemy, Marc & Gondran, Bernard & Guichard, Eric, 2003. "Spatial structure of the internet traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 319(C), pages 633-642.
    8. Pol Antras & Elhanan Helpman, 2004. "Global Sourcing," Journal of Political Economy, University of Chicago Press, vol. 112(3), pages 552-580, June.
    9. Elhanan Helpman & Marc J. Melitz & Stephen R. Yeaple, 2004. "Export Versus FDI with Heterogeneous Firms," American Economic Review, American Economic Association, vol. 94(1), pages 300-316, March.
    10. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    11. M. Angeles Serrano & Marian Boguna & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Papers 0704.1225, arXiv.org.
    12. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    13. Baskaran, Thushyanthan & Blöchl, Florian & Brück, Tilman & Theis, Fabian J., 2011. "The Heckscher-Ohlin model and the network structure of international trade," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 135-145, April.
    14. Fagiolo, Giorgio & Reyes, Javier & Schiavo, Stefano, 2008. "On the topological properties of the world trade web: A weighted network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3868-3873.
    15. repec:hrv:faseco:4784029 is not listed on IDEAS
    16. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
    17. D. Garlaschelli & M. I. Loffredo, 2004. "Fitness-dependent topological properties of the World Trade Web," Papers cond-mat/0403051, arXiv.org, revised Oct 2004.
    18. João Amador & Sónia Cabral, 2014. "Global Value Chains: Surveying Drivers, Measures and Impacts," Working Papers w201403, Banco de Portugal, Economics and Research Department.
    19. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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