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Structural dependencies and choke points in GVCs: An industry-level analysis

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  • Robert Stehrer

    (The Vienna Institute for International Economic Studies, wiiw)

Abstract

Global value chains (GVCs) are intricate international networks in which the production and distribution of goods and services across multiple economies and industries is coordinated. Their complexity introduces strategic dependencies when economies or industries rely heavily on a limited number of foreign suppliers. Such dependencies can also create additional vulnerabilities, particularly at choke points (i.e. key links or nodes in the chain) whose disruption – whether due to political instability and geopolitical tensions, natural disasters, pandemics or policy shocks and trade restrictions – can halt production. This study builds on previous research by examining two factors (i) size dependencies arising when an importing economy-industry pair relies largely on the inputs of a partner economies, and (ii) choke dependencies, where imports from one economy pass through another, creating potential choke points. Choke dependency is particularly concerning, as disruptions in the choke economy can impact not only its direct exports but also the flow of goods from other suppliers. Using the multi-country input-output tables (MC IOTs), this study introduces two indicators to assess dependencies (i) ‘size dependency’, based on the share of an economy-industry’s foreign output sourced from a specific partner, and (2) ‘choke dependency’, based on the pass-through frequency (ptf) indicator, which reveals how often inputs from third economies are routed through a particular partner. An economy-industry pair is considered dependent if it meets thresholds for size dependency, choke dependency or both. This comprehensive approach aims to offer a deeper understanding of systemic vulnerabilities in global trade networks.

Suggested Citation

  • Robert Stehrer, 2026. "Structural dependencies and choke points in GVCs: An industry-level analysis," wiiw Research Reports 480, The Vienna Institute for International Economic Studies, wiiw.
  • Handle: RePEc:wii:rpaper:rr:480
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    File URL: https://wiiw.ac.at/structural-dependencies-and-choke-points-in-gvcs-an-industry-level-analysis-dlp-7524.pdf
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    References listed on IDEAS

    as
    1. Inomata, Satoshi & Hanaka, Tesshu, 2024. "Measuring exposure to network concentration risk in global supply chains: Volume versus frequency," Structural Change and Economic Dynamics, Elsevier, vol. 68(C), pages 177-193.
    2. Richard Baldwin & Rebecca Freeman & Angelos Theodorakopoulos, 2022. "Horses for courses: measuring foreign supply chain exposure," Bank of England working papers 996, Bank of England.
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    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F15 - International Economics - - Trade - - - Economic Integration

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