Abstract
The study investigated how the changes in the hours spent at home during the COVID-19 pandemic affected the Tokyo Toyosu bluefin, bigeye, and yellowfin tuna markets. Applying the nonlinear autoregressive distributed lag (NARDL) price models for the three tuna products during the four state of emergency (SOE) periods between 2020 and 2021 in Tokyo, the study reveals that an increase in the hours of stay-at-home during the first SOE had an adverse impact on all three tuna prices in the long run. The study also finds that for the bluefin tuna, an increase in the hours of stay at home had a positive impact on price in the short run when the hours of stay at home were increasing during the first SOE. This suggests that there were times when household demand for bluefin tuna increased while people spent longer in their homes during the SOE period.
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