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The international-trade network: gravity equations and topological properties

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  • Giorgio Fagiolo

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Abstract

This paper begins to explore the determinants of the topological properties of the international - trade network (ITN). We fit bilateral-trade flows using a standard gravity equation to build a ''residual'' ITN where trade-link weights are depurated from geographical distance, size, border effects, trade agreements, and so on. We then compare the topological properties of the original and residual ITNs. We find that the residual ITN displays, unlike the original one, marked signatures of a complex system, and is characterized by a very different topological architecture. Whereas the original ITN is geographically clustered and organized around a few large-sized hubs, the residual ITN displays many small-sized but trade-oriented countries that, independently of their geographical position, either play the role of local hubs or attract large and rich countries in relatively complex trade-interaction patterns.

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Bibliographic Info

Article provided by Springer in its journal Journal of Economic Interaction and Coordination.

Volume (Year): 5 (2010)
Issue (Month): 1 (June)
Pages: 1-25

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Handle: RePEc:spr:jeicoo:v:5:y:2010:i:1:p:1-25

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Related research

Keywords: International trade network; Gravity equation; Weighted network analysis; Topological properties; Econophysics; F10; D85;

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Citations

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Cited by:
  1. Leonidas Sandoval Junior, 2011. "A Map of the Brazilian Stock Market," Papers 1107.4146, arXiv.org, revised Mar 2013.
  2. Leonidas Sandoval Junior & Italo De Paula Franca, 2011. "Correlation of financial markets in times of crisis," Papers 1102.1339, arXiv.org, revised Mar 2011.
  3. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2011. "Null Models of Economic Networks: The Case of the World Trade Web," Papers 1112.2895, arXiv.org, revised Sep 2012.
  4. Nicol\'o Musmeci & Stefano Battiston & Guido Caldarelli & Michelangelo Puliga & Andrea Gabrielli, 2012. "Bootstrapping topology and systemic risk of complex network using the fitness model," Papers 1209.6459, arXiv.org.
  5. Belén González Díaz & Leticia Blázquez, 2013. "International Automotive Production Networks: How the web comes together," Working Papers. Serie EC 2013-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  6. Marco Duenas & Giorgio Fagiolo, 2013. "Global Trade Imbalances: A Network Approach," LEM Papers Series 2013/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  7. Marco Duenas & Giorgio Fagiolo, 2011. "Modeling the International-Trade Network: A Gravity Approach," LEM Papers Series 2011/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  8. Matteo Barigozzi & Giorgio Fagiolo & Giuseppe Mangioni, 2010. "Identifying the Community Structure of the International-Trade Multi Network," LEM Papers Series 2010/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  9. Mario Maggioni & Teodora Uberti, 2011. "Networks and geography in the economics of knowledge flows," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1031-1051, August.
  10. Sandoval, Leonidas & Franca, Italo De Paula, 2012. "Correlation of financial markets in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 187-208.
  11. Sandoval, Leonidas, 2012. "Pruning a minimum spanning tree," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2678-2711.
  12. Leonidas Sandoval Junior, 2011. "Pruning a Minimum Spanning Tree," Papers 1109.0642, arXiv.org.

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