Abstract This study analyzes how multinational enterprises (MNEs) influence corporate labor share in their home countries, using the 2011 Thailand Floods as a natural experiment. Flood-related disruptions to Thai subsidiaries of Japanese MNEs generated a negative foreign productivity shock that raised labor share in Japan. We interpret this pattern using a model with international factor substitution and estimate the elasticity of substitution between domestic labor and foreign inputs using an instrument based on flood exposure. The estimated model quantifies the long-run e!ect of Thai productivity growth on Japan's labor share, indicating that expanding global production networks can shift labor–capital balances.

This paper studies the relationship between industrial robots and employment in Japan on the basis of a unique dataset that allows us to calculate the unit price of robots. Our model combines standard factor demand theory with a recent task-based approach to derive a simple estimation equation between robot prices and employment, and our identification strategy leverages heterogeneous applications of robots across industries and heterogeneous price changes across applications. We find that the decline in robot prices increased both the number of robots and employment by raising the productivity and production scale of robot-adopting industries.