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Robots and industrial labor: Evidence from Japan

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  • Dekle, Robert

Abstract

This paper provides one of the first studies of the impact of the introduction of robots to equilibrium labor demand in an entire economy. We use long-term (1979–2012) industry-level panel data from Japan, a country that is over 10 times as intensive in the use of robots as in the U.S. Our model, which is derived from Acemoglu and Restrepo (2017), shows that there are three effects on labor demand in the aggregate economy from the introduction of industrial robots. The first is the negative displacement effect of robots taking over the tasks of humans. The second is the positive industry productivity effect of robots lowering costs in a particular industry. This lowering of costs draws demand to the industry and expands output and employment in that industry. The third is the positive general equilibrium effect. Robots raise productivity and expands demand in all industries, thereby increasing the product and labor demand for the industry introducing the robots. In our estimation, we find that the displacement effect is insignificant, the productivity effect is sometimes positively significant, and the macroeconomic general equilibrium effect is always highly positively significant. Overall, the introduction of robots has been beneficial to the demand for labor in Japan. Our results are robust to various controls and instrumental variables.

Suggested Citation

  • Dekle, Robert, 2020. "Robots and industrial labor: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
  • Handle: RePEc:eee:jjieco:v:58:y:2020:i:c:s0889158320300459
    DOI: 10.1016/j.jjie.2020.101108
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    References listed on IDEAS

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    1. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. David Autor & Anna Salomons, 2018. "Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 1-87.
    4. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    5. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The China Syndrome: Local Labor Market Effects of Import Competition in the United States," American Economic Review, American Economic Association, vol. 103(6), pages 2121-2168, October.
    6. Timothy DESTEFANO & HANEDA Sho & KWON Hyeog Ug, 2019. "Determinants of Structural Adjustment and Employment Use in Japan: Firm Characteristics, Offshoring and Industrial Robotics," Discussion papers 19067, Research Institute of Economy, Trade and Industry (RIETI).
    7. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    8. Asian Bank, 2018. "Asian Development Outlook (ADO) 2018: How Technology Affects Jobs," Working Papers id:12717, eSocialSciences.
    9. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    10. MORIKAWA Masayuki, 2020. "Heterogeneous Relationships between Automation Technologies and Skilled Labor: Evidence from a Firm Survey," Discussion papers 20004, Research Institute of Economy, Trade and Industry (RIETI).
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