This paper proposes the Global Industrial Chain Advantage Index (GICAI) to quantify how well BRI economies compete for scarce upstream inputs in global value chains. Built on 2016–2021 Eora-MRIO data, a weighted bipartite graph and resource-allocation algorithm map inter-sector competition and convert it into a 0–100 country–sector score. GICAI reveals three trajectories: rising economies boost competitiveness by embedding in China-led networks; stable economies hold niches in services or resources; declining economies suffer structural overlap with China and cost-squeeze from lower-tier rivals. Capacity-transfer and institutional-embedding are the main BRI transmission channels. Policy recommendations should tailor integration depth, complementarity and differentiation to each group. Limitations: MRIO granularity, omitted digital/green dimensions, and insufficient non-BRI benchmarking.

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Measuring the Global Industrial Chain Advantage Under the Belt and Road Initiative: A Bipartite-Graph and Resource Allocation Approach

  • Kaiyu Jin,
  • Lizhi Xing

摘要

This paper proposes the Global Industrial Chain Advantage Index (GICAI) to quantify how well BRI economies compete for scarce upstream inputs in global value chains. Built on 2016–2021 Eora-MRIO data, a weighted bipartite graph and resource-allocation algorithm map inter-sector competition and convert it into a 0–100 country–sector score. GICAI reveals three trajectories: rising economies boost competitiveness by embedding in China-led networks; stable economies hold niches in services or resources; declining economies suffer structural overlap with China and cost-squeeze from lower-tier rivals. Capacity-transfer and institutional-embedding are the main BRI transmission channels. Policy recommendations should tailor integration depth, complementarity and differentiation to each group. Limitations: MRIO granularity, omitted digital/green dimensions, and insufficient non-BRI benchmarking.