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The Evolution of the World Trade Web. A Weighted-Network Analysis. 49.ma Riunione Scientifica Annuale. Società Italiana degli Economisti

  • Giorgio Fagiolo

    (Laboratory of Economics and Management (LEM))

  • Javier Reyes

    (Department of Economics)

  • Stefano Schiavo

    (Department of Economic Geography)

This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries featuring a large number of strong relationships, thus hinting to a core-periphery structure. Also, better-connected countries tend to trade with poorly-connected ones, but are also involved in highly-interconnected trade clusters. Furthermore, rich countries display more intense trade links and are more clustered. Finally, all network properties are remarkably stable across the years and do not depend on the weighting procedure.

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Date of creation: 24 Oct 2008
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Handle: RePEc:spo:wpmain:info:hdl:2441/9795
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  1. Taiji Furusawa & Hideo Konishi, 2002. "Free Trade Networks," Boston College Working Papers in Economics 548, Boston College Department of Economics, revised 08 Sep 2003.
  2. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
  3. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "On the Topological Properties of the World Trade Web: A Weighted Network Analysis," Papers 0708.4359, arXiv.org.
  4. James E. Rauch & Alessandra Casella, 2003. "Overcoming Informational Barriers to International Resource Allocation: Prices and Ties," Economic Journal, Royal Economic Society, vol. 113(484), pages 21-42, January.
  5. Gianmarco Ottaviano & Takatoshi Tabuchi & Jacques-FranÁois Thisse, 2002. "Agglomeration and Trade Revisited," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 409-436, May.
  6. 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.
  7. Sanjeev Goyal & Sumit Joshi, 2006. "Bilateralism And Free Trade," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(3), pages 749-778, 08.
  8. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
  9. Baier, Scott L. & Bergstrand, Jeffrey H., 2004. "Economic determinants of free trade agreements," Journal of International Economics, Elsevier, vol. 64(1), pages 29-63, October.
  10. Rivera-Batiz, Luis A & Romer, Paul M, 1991. "Economic Integration and Endogenous Growth," The Quarterly Journal of Economics, MIT Press, vol. 106(2), pages 531-55, May.
  11. James E. Rauch, 2001. "Business and Social Networks in International Trade," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1177-1203, December.
  12. Hojman, Daniel A. & Szeidl, Adam, 2008. "Core and periphery in networks," Journal of Economic Theory, Elsevier, vol. 139(1), pages 295-309, March.
  13. Vivek Arora & Athanasios Vamvakidis, 2005. "How Much Do Trading Partners Matter for Economic Growth?," IMF Staff Papers, Palgrave Macmillan, vol. 52(1), pages 24-40, April.
  14. Raja Kali & Javier Reyes, 2007. "The architecture of globalization: a network approach to international economic integration," Journal of International Business Studies, Palgrave Macmillan, vol. 38(4), pages 595-620, July.
  15. Giorgio Fagiolo, 2006. "Directed or Undirected? A New Index to Check for Directionality of Relations in Socio-Economic Networks," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-12.
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