@techreport{oai:ir.ide.go.jp:00052877,
 author = {Inomata, Satoshi and Hanaka, Tesshu},
 month = {Oct},
 note = {application/pdf, IDP000828_001, In this paper we present and analyze new referential statistics for risk assessment on geographical concentration of global supply chains. The study’s net contribution rests on the development of a metric which indicates geographical concentration in terms of the frequency of supply chain engagement with the regions of analytical concerns, alongside the traditional approach based on volume measures of value-added concentration. Japan, a country with a high propensity to encounter natural hazards, and China, under a mounting geopolitical tension with the United States, are chosen as target regions for the risk assessment. The analysis follows a line of techniques in input-output economics known as the “key sector analysis”, yet with methodological augmentation by a compatible analytical framework in the network theory. Using the latest set of multi-country input-output tables constructed by the Organisation for Economic Co-operation and Development (OECD), the concentration risks of some key global supply chains such as the automotive industry and the ICT/electronics equipment industry are identified.},
 title = {A risk analysis on geographical concentration of global supply chains},
 year = {2021}
}