The Japanese Society for Artificial Intelligence

Ethnicity is an essential factor in predicting the flow of international trade. However, it is challenging to collect ethnic data, so there was a limit to analyzing international trade with ethnicity. In this study, we classify the ethnicity of corporate executives by surnames. And we analyze transactions between ethnic groups in international trade. In addition, we measure the influence of ethnicity using the gravity model. We find that the ethnic factor significantly affects international trade, and the impact varies from country to country.