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Robot Adoption, Organizational Capital and the Productivity Paradox

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Abstract

Major technological changes have come with an adjustment period of stagnant productivity before the economy operates at its full potential. The mechanism of this adoption process is still not well understood. Using event studies, I document that productivity increases with a five-year lag after the adoption of industrial robots in Brazilian local labor markets. Combining employer-employee matched data with a novel measure of robot adoption, I provide first evidence of establishment-level labor reorganization and organizational capital depreciation induced by the automation process. During the five years after adoption, labor switching across occupations increases within firms, moving from production to support activities. I show that firms’ organizational capital measured by workers’ firm-occupation-specific experience depreciates and then slowly re-accumulates. When these processes stop, the productivity gains reach their maximum. I use these results to estimate a general equilibrium model with heterogeneous firms, endogenous robot adoption, and organizational capital accumulation. The model accounts for the productivity paradox, the diffusion of industrial robots, and the change in the aggregate skill demand. The model highlights the role of organizational costs accompanying the adoption of new technologies. I illustrate its usefulness by using it to characterize the implications of the “innovator’s dilemma.” Classification- E24, J62, L23, O32, O33

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  • Rodimiro Rodrigo, 2022. "Robot Adoption, Organizational Capital and the Productivity Paradox," Working Papers gueconwpa~22-22-03, Georgetown University, Department of Economics.
  • Handle: RePEc:geo:guwopa:gueconwpa~22-22-03
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    File URL: https://rodimirorodrigo.github.io/JMP2021-Rodrigo.pdf
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    1. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August.
    2. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    3. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    4. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    5. repec:hal:spmain:info:hdl:2441/170cd4sul89ddpnfuomvfm0jc0 is not listed on IDEAS
    6. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2020. "What Are the Labor and Product Market Effects of Automation? New Evidence from France," SciencePo Working papers Main hal-03403062, HAL.
    7. Giovanni L. Violante, 2002. "Technological Acceleration, Skill Transferability, and the Rise in Residual Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 297-338.
    8. Andrew B. Bernard & Valerie Smeets & Frederic Warzynski, 2017. "Rethinking deindustrialization," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 32(89), pages 5-38.
    9. Adriana D. Kugler & Maurice Kugler & Laura Ripani & Rodimiro Rodrigo, 2020. "U.S. Robots and their Impacts in the Tropics: Evidence from Colombian Labor Markets," NBER Working Papers 28034, National Bureau of Economic Research, Inc.
    10. Andrew Atkeson & Patrick J. Kehoe, 2007. "Modeling the Transition to a New Economy: Lessons from Two Technological Revolutions," American Economic Review, American Economic Association, vol. 97(1), pages 64-88, March.
    11. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing," American Economic Review, American Economic Association, vol. 104(5), pages 394-399, May.
    12. Rafael Dix‐Carneiro, 2014. "Trade Liberalization and Labor Market Dynamics," Econometrica, Econometric Society, vol. 82(3), pages 825-885, May.
    13. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2010. "Recent Advances in the Empirics of Organizational Economics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 105-137, September.
    14. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    15. 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.
    16. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    17. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390, CPB Netherlands Bureau for Economic Policy Analysis.
    18. Sharon Traiberman, 2019. "Occupations and Import Competition: Evidence from Denmark," American Economic Review, American Economic Association, vol. 109(12), pages 4260-4301, December.
    19. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
    20. Raj Chetty & Adam Guren & Day Manoli & Andrea Weber, 2011. "Are Micro and Macro Labor Supply Elasticities Consistent? A Review of Evidence on the Intensive and Extensive Margins," American Economic Review, American Economic Association, vol. 101(3), pages 471-475, May.
    21. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-283, April.
    22. Kathryn Koenders & Richard Rogerson, 2005. "Organizational dynamics over the business cycle: a view on jobless recoveries," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 555-580.
    23. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    24. David H. Autor & Frank Levy & Richard J. Murnane, 2002. "Upstairs, Downstairs: Computers and Skills on Two Floors of a Large Bank," ILR Review, Cornell University, ILR School, vol. 55(3), pages 432-447, April.
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    Cited by:

    1. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," Working Papers in Public Economics 245, Department of Economics and Law, Sapienza University of Roma.
    2. Li, Daiyue & Jin, Yanhong & Cheng, Mingwang, 2024. "Unleashing the power of industrial robotics on firm productivity: Evidence from China," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 500-520.
    3. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.

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    Keywords

    Labor Productivity; Occupational Mobility; Technological Change; Automation;
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