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Networks and the Dynamics of Firms' Export Portfolio: Evidence for Mexico

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Author Info

  • Juan de Lucio

    (High Council of Spanish Chambers of Commerce, Spain)

  • Raúl Mínguez

    (High Council of Spanish Chambers of Commerce, Spain)

  • Asier Minondo

    (Deusto Business School, Spain)

  • Francisco Requena

    ()
    (University of Sheffield, United Kingdom)

Abstract

In this paper we use network-analysis tools to identify communities in the web of exporters' destinations. Next we use our network-based community measure as predictor of additional countries chosen by firms expanding their export destination portfolio. We defend that our network-based community measure is superior to extended gravity measures. This superiority stems from the fact that community is a revealed measure, is country-specific and can be calculated at the industry level. Using data on Mexican new exporters over the period 2003-2009, we show that the probability of choosing a new export destination multiplies almost by three if it belongs to the same community of any of the firm's previous destinations. The introduction of the network-based community variable improves the accuracy of the model up to 20% relative to a model that only includes gravity and extended gravity variables. We also show that industry-specific communities and general communities play similar roles in determining the dynamics of Mexican exporters' country portfolio.

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File URL: http://www.shef.ac.uk/economics/research/serps/articles/2014_003.html
File Function: First version, February 2014
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Bibliographic Info

Paper provided by The University of Sheffield, Department of Economics in its series Working Papers with number 2014003.

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Length: 36 pages
Date of creation: Feb 2014
Date of revision:
Handle: RePEc:shf:wpaper:2014003

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Keywords: export market; network analysis; modularity; extended gravity; Mexico;

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