@techreport{oai:ir.ide.go.jp:02000974,
 author = {MENG,Bo and CHENG,Wenyin and YE,Ming and KEOLA,Souknilanh and YE,Jiabai},
 month = {Mar},
 note = {application/pdf, IDP000924_001, This paper explains how we use inter-country input-output models and databases to develop new indicators for visualizing global value chains (GVCs). We created three GVC visualization tools: smile curves, networks and value-chain based revealed comparative advantage (RCA). These tools rely on new indicators of trade in value-added (TiVA), value-chain position and value-chain length. Smile curve tools show the value-added gains, positions and productivities of different countries and sectors in a specific value chain; network tools reveal the interdependence of value-added transfers among countries, their evolution over time and the role of a specific hub country in GVCs; value-chain based RCA tools measure the relative strength or weakness of a certain country in a certain type of goods and services based on TiVA flows.},
 title = {Visualizing Global Value Chains: Smile Curve, Network and Revealed Comparative Advantage},
 year = {2024}
}