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Automation, Labor Share, and Productivity: Plant-Level Evidence from U.S. Manufacturing

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  • Emin Dinlersoz
  • Zoltan Wolf

Abstract

This paper provides new evidence on the plant-level relationship between automation, labor and capital usage, and productivity. The evidence, based on the U.S. Census Bureau's Survey of Manufacturing Technology, indicates that more automated establishments have lower production labor share and higher capital share, and a smaller fraction of workers in production who receive higher wages. These establishments also have higher labor productivity and experience larger long-term labor share declines. The relationship between automation and relative factor usage is modelled using a CES production function with endogenous technology choice. This deviation from the standard Cobb-Douglas assumption is necessary if the within-industry differences in the capital-labor ratio are determined by relative input price differences. The CES-based total factor productivity estimates are significantly different from the ones derived under Cobb-Douglas production and positively related to automation. The results, taken together with earlier findings of the productivity literature, suggest that the adoption of automation may be one mechanism associated with the rise of superstar firms.

Suggested Citation

  • Emin Dinlersoz & Zoltan Wolf, 2018. "Automation, Labor Share, and Productivity: Plant-Level Evidence from U.S. Manufacturing," Working Papers 18-39, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:18-39
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    File URL: https://www2.census.gov/ces/wp/2018/CES-WP-18-39.pdf
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    References listed on IDEAS

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    Cited by:

    1. Gilbert Cette & Sandra Nevoux & Loriane Py, 2022. "The impact of ICTs and digitalization on productivity and labor share: evidence from French firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(8), pages 669-692, November.
    2. 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.
    3. Ling Li & Perry Singleton, 2021. "The Effect of Industrial Robots on Workplace Safety," Center for Policy Research Working Papers 239, Center for Policy Research, Maxwell School, Syracuse University.
    4. Daron Acemoglu & Claire Lelarge & Pascual Restrepo, 2020. "Competing with Robots: Firm-Level Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 383-388, May.
    5. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    6. Koch, Michael & Manuylov, Ilya, 2023. "Measuring the technological bias of robot adoption and its implications for the aggregate labor share," Research Policy, Elsevier, vol. 52(9).
    7. Corrocher, Nicoletta & Moschella, Daniele & Staccioli, Jacopo & Vivarelli, Marco, 2023. "Innovation and the Labor Market: Theory, Evidence and Challenges," GLO Discussion Paper Series 1284, Global Labor Organization (GLO).
    8. Stiebale, Joel & Südekum, Jens & Woessner, Nicole, 2020. "Robots and the rise of European superstar firms," DICE Discussion Papers 347, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    9. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2022. "For whom the bell tolls: The firm-level effects of automation on wage and gender inequality," Research Policy, Elsevier, vol. 51(7).
    10. Nikolas Zolas & Zachary Kroff & Erik Brynjolfsson & Kristina McElheran & David N. Beede & Cathy Buffington & Nathan Goldschlag & Lucia Foster & Emin Dinlersoz, 2020. "Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey," NBER Working Papers 28290, National Bureau of Economic Research, Inc.
    11. Brunello, Giorgio & Rückert, Désirée & Weiss, Christoph T. & Wruuck, Patricia, 2023. "Advanced Digital Technologies and Investment in Employee Training: Complements or Substitutes?," IZA Discussion Papers 15936, Institute of Labor Economics (IZA).
    12. Jens Suedekum & Nicole Woessner, 2019. "Robots & the Rise of European Superstar Firms," European Economy - Discussion Papers 118, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    13. Wang, Lei & Zhou, Yahong & Chiao, Benjamin, 2023. "Robots and firm innovation: Evidence from Chinese manufacturing," Journal of Business Research, Elsevier, vol. 162(C).
    14. Alessandra Bonfiglioli & Rosario Crinò & Harald Fadinger & Gino Gancia, 2020. "Robot Imports and Firm-Level Outcomes," CRC TR 224 Discussion Paper Series crctr224_2020_243, University of Bonn and University of Mannheim, Germany.
    15. Çürük, Malik & Rozendaal, Rik, 2022. "Labor Share, Industry Concentration and Energy Prices : Evidence from Europe," Discussion Paper 2022-023, Tilburg University, Center for Economic Research.
    16. Alguacil Marí, María Teresa & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2020. "What is so special about robots and trade?," University of Göttingen Working Papers in Economics 410, University of Goettingen, Department of Economics.
    17. Zoran Aralica & Bruno Skrinjaric, 2021. "Adoption of digital and ICT technologies and firms’ productivity," Working Papers 2102, The Institute of Economics, Zagreb.
    18. Bena, Jan & Ortiz-Molina, Hernán & Simintzi, Elena, 2022. "Shielding firm value: Employment protection and process innovation," Journal of Financial Economics, Elsevier, vol. 146(2), pages 637-664.
    19. Nicola Pensiero, 2022. "The effect of computerisation on the wage share in United Kingdom workplaces," The Economic and Labour Relations Review, , vol. 33(1), pages 158-177, March.
    20. 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.
    21. Fan, Haichao & Hu, Yichuan & Tang, Lixin, 2021. "Labor costs and the adoption of robots in China," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 608-631.
    22. Michele Boldrin & David K Levine & Yong Wang & Lijun Zhu, 2022. "A Theory of the Dynamics of Factor Shares," Levine's Working Paper Archive 11694000000000102, David K. Levine.

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    More about this item

    Keywords

    advanced manufacturing technology; automation; technology choice; total factor productivity; capital-labor substitution; labor share; CES production function; productivity estimation; robots;
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