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Pecking order and core‐periphery in international trade

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  • Glenn Magerman
  • Karolien De Bruyne
  • Jan Van Hove

Abstract

This paper analyzes the impact of market size and trade costs on bilateral trade flows. A multi‐country trade model with firm‐level heterogeneity in productivities and countries’ market potential provides a simple micro foundation for the link between these variables. In the model, market size and trade costs jointly determine a country‐specific pecking order of exporters serving their destination countries. In a counterfactual setting where bilateral trade costs are homogeneous across country pairs, market size predicts a common ranking of exporters among destination countries. This leads to a unique core‐periphery structure of the world trade network. With heterogeneous trade costs, we illustrate the impact of market size and trade costs on bilateral trade flows and its margins in a simple gravity‐like setting. Using an instrumental variables approach, we find that both market size and trade costs (measured through the network position of countries) have a significant impact on bilateral exports: countries in the core bilaterally trade more with other countries in the core than with peripheral countries, conditional on typical observables.

Suggested Citation

  • Glenn Magerman & Karolien De Bruyne & Jan Van Hove, 2020. "Pecking order and core‐periphery in international trade," Review of International Economics, Wiley Blackwell, vol. 28(4), pages 1113-1141, September.
  • Handle: RePEc:bla:reviec:v:28:y:2020:i:4:p:1113-1141
    DOI: 10.1111/roie.12483
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    2. Storonyanska, Iryna & Patytska, Khrystyna & Hrynchyshyn, Iryna & Chemerys, Vasyl, 2020. "Spatial disproportions in development of territorial community under conditions of administrative and financial decentralization," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 6(4), December.
    3. Ovielt Baltodano L'opez & Roberto Casarin, 2022. "A Dynamic Stochastic Block Model for Multi-Layer Networks," Papers 2209.09354, arXiv.org.

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    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • F1 - International Economics - - Trade

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