TY - JOUR
T1 - Measuring exposure to network concentration risk in global supply chains
T2 - Volume versus frequency
AU - Inomata, Satoshi
AU - Hanaka, Tesshu
N1 - Publisher Copyright:
© 2023
PY - 2024/3
Y1 - 2024/3
N2 - In this paper, we present new referential statistics for the degree of supply chain exposure to network concentration risk. The study's contribution rests on the development of a metric that indicates network concentration in terms of the frequency of supply chain engagement with the regions of analytical concern, alongside the traditional approach based on volume measurement of value-added concentration. Japan, a country with a high propensity to encounter natural hazards, and China, under mounting geopolitical tension with the United States, are chosen as the target regions for the assessment of network concentration. In addition, the highly asymmetric structure of mutual economic dependency in the US-China relations is identified.
AB - In this paper, we present new referential statistics for the degree of supply chain exposure to network concentration risk. The study's contribution rests on the development of a metric that indicates network concentration in terms of the frequency of supply chain engagement with the regions of analytical concern, alongside the traditional approach based on volume measurement of value-added concentration. Japan, a country with a high propensity to encounter natural hazards, and China, under mounting geopolitical tension with the United States, are chosen as the target regions for the assessment of network concentration. In addition, the highly asymmetric structure of mutual economic dependency in the US-China relations is identified.
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U2 - 10.1016/j.strueco.2023.10.002
DO - 10.1016/j.strueco.2023.10.002
M3 - Article
AN - SCOPUS:85175640974
SN - 0954-349X
VL - 68
SP - 177
EP - 193
JO - Structural Change and Economic Dynamics
JF - Structural Change and Economic Dynamics
ER -