IDEAS home Printed from https://ideas.repec.org/p/euf/dispap/118.html
   My bibliography  Save this paper

Robots & the Rise of European Superstar Firms

Author

Listed:
  • Jens Suedekum
  • Nicole Woessner

Abstract

We estimate the impact of a recent digital automation technology - industrial robotics - on the distribution of productivity and markups within industries. Our empirical analysis combines data on the industry-level stock of industrial robots with firms' balance sheet data for six European countries from 2004 to 2013. We find that robots dis-proportionally raise productivity in those firms that are already most productive to begin with. Those firms are able to increase their markups, while markups tend to decline for less profitable firms within the same industry, country and year. We also show that industrial robots contribute to the falling aggregate labour income share through a rising concentration of industry sales. In short, our paper suggests that robots boost the emergence of superstar firms within European manufacturing, and thereby shifts the functional income distribution away from wages and towards profits.

Suggested Citation

  • 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.
    • Handle: RePEc:euf:dispap:118
    as

    Download full text from publisher

    File URL: https://economy-finance.ec.europa.eu/publications/fellowship-initiative-2018-2019-robots-and-rise-european-superstar-firms_en
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Bloom & Mirko Draca & John Van Reenen, 2016. "Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity," Review of Economic Studies, Oxford University Press, vol. 83(1), pages 87-117.
    2. Irene Bertschek & Jan Hogrefe & Fabienne Rasel, 2015. "Trade and technology: new evidence on the productivity sorting of firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 151(1), pages 53-72, February.
    3. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    4. 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.
    5. Jan De Loecker & Paul T. Scott, 2016. "Estimating market power Evidence from the US Brewing Industry," NBER Working Papers 22957, National Bureau of Economic Research, Inc.
    6. Bahar, Dany, 2018. "The middle productivity trap: Dynamics of productivity dispersion," Economics Letters, Elsevier, vol. 167(C), pages 60-66.
    7. De loecker, Jan & Collard-Wexler, Allan, 2016. "Production Function Estimation with Measurement Error in Inputs," CEPR Discussion Papers 11399, C.E.P.R. Discussion Papers.
    8. Jan De Loecker, 2013. "Detecting Learning by Exporting," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 1-21, August.
    9. 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.
    10. Nicholas Bloom & John Van Reenen, 2010. "Why Do Management Practices Differ across Firms and Countries?," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 203-224, Winter.
    11. Ulrich Doraszelski & Jordi Jaumandreu, 2018. "Measuring the Bias of Technological Change," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1027-1084.
    12. 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.
    13. Mai Dao & Ms. Mitali Das & Zsoka Koczan & Weicheng Lian, 2017. "Why Is Labor Receiving a Smaller Share of Global Income? Theory and Empirical Evidence," IMF Working Papers 2017/169, International Monetary Fund.
    14. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    15. Berlingieri, Giuseppe & Blanchenay, Patrick & Criscuolo, Chiara, 2024. "The great divergence(s)," Research Policy, Elsevier, vol. 53(3).
    16. 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.
    17. Jan De Loecker & Jan Eeckhout & Gabriel Unger, 2020. "The Rise of Market Power and the Macroeconomic Implications [“Econometric Tools for Analyzing Market Outcomes”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 561-644.
    18. Paula Bustos, 2011. "Trade Liberalization, Exports, and Technology Upgrading: Evidence on the Impact of MERCOSUR on Argentinian Firms," American Economic Review, American Economic Association, vol. 101(1), pages 304-340, February.
    19. Sara Calligaris & Chiara Criscuolo & Luca Marcolin, 2018. "Mark-ups in the digital era," OECD Science, Technology and Industry Working Papers 2018/10, OECD Publishing.
    20. Eeckhout, Jan & De loecker, Jan, 2018. "Global Market Power," CEPR Discussion Papers 13009, C.E.P.R. Discussion Papers.
    21. Bental, Benjamin & Demougin, Dominique, 2010. "Declining labor shares and bargaining power: An institutional explanation," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 443-456, March.
    22. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2016. "The Best versus the Rest: The Global Productivity Slowdown, Divergence across Firms and the Role of Public Policy," OECD Productivity Working Papers 5, OECD Publishing.
    23. Ann Bartel & Casey Ichniowski & Kathryn Shaw, 2007. "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1721-1758.
    24. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    25. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    26. 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.
    27. Adrjan, Pawel, 2018. "The mightier, the stingier: Firms’ market power, capital intensity, and the labor share of income," MPRA Paper 83925, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ndubuisi, Gideon & Otioma, Chuks & Tetteh, Godsway Korku, 2021. "Digital infrastructure and employment in services: Evidence from Sub-Saharan African countries," Telecommunications Policy, Elsevier, vol. 45(8).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. , & Stiebale, Joel & Woessner, Nicole, 2020. "Robots and the rise of European superstar firms," CEPR Discussion Papers 15080, C.E.P.R. Discussion Papers.
    2. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    3. 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.
    4. Geoff Weir, 2018. "Wage Growth Puzzles and Technology," RBA Research Discussion Papers rdp2018-10, Reserve Bank of Australia.
    5. Agustin Velasquez, 2023. "Production Technology, Market Power, and the Decline of the Labor Share," IMF Working Papers 2023/032, International Monetary Fund.
    6. Maarten de Ridder, 2022. "Market power and innovation in the intangible economy," POID Working Papers 064, Centre for Economic Performance, LSE.
    7. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    8. Francesca Crucitti & Lorenza Rossi, 2022. "Labor Share Decline and Productivity Slowdown: A Micro-Macro Analysis," Working Papers 350577481, Lancaster University Management School, Economics Department.
    9. Muendler, Marc-Andreas, 2017. "Trade, technology, and prosperity: An account of evidence from a labor-market perspective," WTO Staff Working Papers ERSD-2017-15, World Trade Organization (WTO), Economic Research and Statistics Division.
    10. Kritikos, Alexander S. & Schiersch, Alexander & Stiel, Caroline, 2021. "The Productivity Puzzle in Business Services," IZA Discussion Papers 14610, Institute of Labor Economics (IZA).
    11. Cusolito,Ana Paula & Lederman,Daniel & Pena,Jorge O., 2020. "The Effects of Digital-Technology Adoption on Productivity and Factor Demand : Firm-level Evidence from Developing Countries," Policy Research Working Paper Series 9333, The World Bank.
    12. Alexander S. Kritikos & Alexander Schiersch & Caroline Stiel, 2022. "The productivity shock in business services," Small Business Economics, Springer, vol. 59(3), pages 1273-1299, October.
    13. Nolan, Brian & Richiardi, Matteo & Valenzuela, Luis, 2018. "The Drivers of Inequality in Rich Countries," INET Oxford Working Papers 2018-15, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    14. Jamil, Nida & Chaudhry, Theresa Thompson & Chaudhry, Azam, 2022. "Trading textiles along the new silk route: The impact on Pakistani firms of gaining market access to China," Journal of Development Economics, Elsevier, vol. 158(C).
    15. De Ridder, M., 2019. "Market Power and Innovation in the Intangible Economy," Cambridge Working Papers in Economics 1931, Faculty of Economics, University of Cambridge.
    16. Kindberg-Hanlon,Gene, 2021. "The Technology-Employment Trade-Off : Automation, Industry, and Income Effects," Policy Research Working Paper Series 9529, The World Bank.
    17. Ganglmair, Bernhard & Hahn, Nadine & Hellwig, Michael & Kann, Alexander & Peters, Bettina & Tsanko, Ilona, 2020. "Price markups, innovation, and productivity: Evidence from Germany," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, volume 8, number 222995.
    18. Ensar Yılmaz & Zeynep Kaplan, 2022. "Heterogeneity of market power: firm-level evidence," Economic Change and Restructuring, Springer, vol. 55(2), pages 1207-1228, May.
    19. Kyoji Fukao & Cristiano Perugini, 2021. "The Long‐Run Dynamics of the Labor Share in Japan," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 445-480, June.
    20. Ufuk Akcigit & Sina T. Ates, 2023. "What Happened to US Business Dynamism?," Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2059-2124.

    More about this item

    JEL classification:

    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:euf:dispap:118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ECFIN INFO (email available below). General contact details of provider: https://edirc.repec.org/data/dg2ecbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.