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International Trade Modelling Using Open Flow Networks: A Flow-Distance Based Analysis.

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This summary is machine-generated.

This study introduces open flow networks (OFNs) to model international trade flows, revealing country roles in global supply chains and trade patterns. The network approach offers new tools for analyzing commodity and money flows in global trade.

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Area of Science:

  • Economics
  • Network Science
  • International Trade Analysis

Background:

  • Traditional international trade analysis often overlooks complex network dynamics.
  • Understanding global supply chains and value-added chains requires advanced modeling techniques.

Purpose of the Study:

  • To model and analyze international trade flows using novel open flow networks (OFNs) and flow distance approaches.
  • To quantitatively evaluate countries' roles and positions within global supply chains.
  • To explore the relationship between commodity flow and money flow in international trade.

Main Methods:

  • Establishment of OFNs from coupled viewpoints of commodity flow and money flow.
  • Introduction of trade trophic levels and niches for role evaluation.
  • Proposal of harmonic node centrality to analyze network structure.

Main Results:

  • Identified similar clustering patterns in trading "trophic levels" across different commodities.
  • Found that active countries trade diverse products, while inactive ones trade limited varieties.
  • Observed centrality stratification and identified countries with unusual import patterns.

Conclusions:

  • OFNs with flow distance approaches provide effective tools for international trade analysis.
  • The model offers quantitative insights into global supply chain structures and country roles.
  • Network analysis reveals distinct trade behaviors and network positions of countries.