Abstract

We study the impacts of industrial robots on employment in Japan, the country with the longest tradition of robot adoption. We employ a novel data set of robot shipments by destination industry and robot application (specified task) in quantity and unit values. These features allow us to use an identification strategy leveraging the heterogeneous application of robots across industries and heterogeneous price changes across applications. For example, the price drop of the welding robot relative to the assembling robot induced faster adoption of robots in the automobile industry that intensively uses welding processes than in the electric machine industry that intensively uses assembling processes. Our industrial-level and commuting zone-level analyses both indicate that the decline of robot prices increased the number of robots as well as employment, suggesting that robots and labor are gross complementary in the production process. We compare our estimates with those reported by existing studies and propose a mechanism that explains apparent differences between the results.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call