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Robots and the rise of European superstar firms

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  • Stiebale, Joel
  • Südekum, Jens
  • Woessner, Nicole

Abstract

We study the impact of a recent digital automation technology - industrial robotics - on the distribution of sales, productivity, markups, and profits 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 disproportionally raise productivity in those firms that are already most productive to begin with. Those firms are able to increase their markups and overall profits, while they tend to decline for less profitable firms within the same industry, country and year. We also show that robots contribute to the falling aggregate labor income share through a rising concentration of industry sales in highly productive firms with low firm-specific labor shares. In sum, 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

  • 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).
  • Handle: RePEc:zbw:dicedp:347
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    as
    1. 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.
    2. 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.
    3. David Autor & David Dorn & Lawrence F Katz & Christina Patterson & John Van Reenen, 2020. "The Fall of the Labor Share and the Rise of Superstar Firms [“Automation and New Tasks: How Technology Displaces and Reinstates Labor”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 645-709.
    4. Nicholas Bloom & Mirko Draca & John Van Reenen, 2016. "Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 87-117.
    5. 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.
    6. 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.
    7. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Diego Anzoategui & Diego Comin & Mark Gertler & Joseba Martinez, 2019. "Endogenous Technology Adoption and R&D as Sources of Business Cycle Persistence," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(3), pages 67-110, July.
    13. 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.
    14. 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.
    15. 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.
    16. Eeckhout, Jan & De loecker, Jan, 2018. "Global Market Power," CEPR Discussion Papers 13009, C.E.P.R. Discussion Papers.
    17. 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.
    18. Jan De Loecker, 2013. "Detecting Learning by Exporting," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 1-21, August.
    19. 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.
    20. Bahar, Dany, 2018. "The middle productivity trap: Dynamics of productivity dispersion," Economics Letters, Elsevier, vol. 167(C), pages 60-66.
    21. 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.
    22. Romain Duval & Gee Hee Hong & Yannick Timmer & Philip Strahan, 2020. "Financial Frictions and the Great Productivity Slowdown," The Review of Financial Studies, Society for Financial Studies, vol. 33(2), pages 475-503.
    23. 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.
    24. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    25. Sara Calligaris & Chiara Criscuolo & Luca Marcolin, 2018. "Mark-ups in the digital era," OECD Science, Technology and Industry Working Papers 2018/10, OECD Publishing.
    26. 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.
    27. 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.
    28. 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.
    29. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    30. 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.
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    Cited by:

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    2. Mr. Andrew Berg & Lahcen Bounader & Nikolay Gueorguiev & Hiroaki Miyamoto & Mr. Kenji Moriyama & Ryota Nakatani & Luis-Felipe Zanna, 2021. "For the Benefit of All: Fiscal Policies and Equity-Efficiency Trade-offs in the Age of Automation," IMF Working Papers 2021/187, International Monetary Fund.
    3. Crescioli, Tommaso & Martelli, Angelo, 2022. "Beyond the Great Reversal: Superstars, Unions, and the Euro," Single Market Economics Papers WP2022/8, Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs (European Commission), Chief Economist Team.
    4. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    5. Ferschli, Benjamin & Rehm, Miriam & Schnetzer, Matthias & Zilian, Stella, 2021. "Labor-saving technological change? Sectoral evidence for Germany," ifso working paper series 14, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    6. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    7. Éltető, Andrea & Sass, Magdolna, 2021. "A kapitalizmus változatai és az ipar 4.0 a visegrádi országokban [Varieties of capitalism and industry 4.0 in the Visegrad countries]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 490-514.
    8. Südekum, Jens, 2021. "Place-based policies - How to do them and why," DICE Discussion Papers 367, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    9. Toon Van Overbeke, 2023. "Conflict or cooperation? Exploring the relationship between cooperative institutions and robotisation," British Journal of Industrial Relations, London School of Economics, vol. 61(3), pages 550-573, September.
    10. Nandakumar, Ardra & Chuah, Jo-Ann & Sudesh, Kumar, 2021. "Bioplastics: A boon or bane?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    11. Haapanala, Henri & Marx, Ive & Parolin, Zachary, 2022. "Robots and Unions: The Moderating Effect of Organised Labour on Technological Unemployment," IZA Discussion Papers 15080, Institute of Labor Economics (IZA).
    12. Daria A. Starovatova, 2023. "The relationship between robots and labour productivity: Does business scale matter?," Journal of New Economy, Ural State University of Economics, vol. 24(1), pages 81-103, April.
    13. Alguacil, Maite & Lo Turco, Alessia & Martínez-Zarzoso, Inmaculada, 2022. "Robot adoption and export performance: Firm-level evidence from Spain," Economic Modelling, Elsevier, vol. 114(C).
    14. Simachev, Yu. & Fedyunina, A. & Gorodny, N., 2022. "Global advanced manufacturing markets - a new opportunity for Russia's technological upgrade," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 202-212.
    15. Wang, Lei & Zhou, Yahong & Chiao, Benjamin, 2023. "Robots and firm innovation: Evidence from Chinese manufacturing," Journal of Business Research, Elsevier, vol. 162(C).
    16. Alessandro Sterlacchini, 2022. "AI Patenting and Employment: Evidence from the World's Top R&D Investors," Working Papers 462, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    17. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    18. Jens Südekum, 2021. "Wirtschaftspolitische Differenzen und mögliche Kompromisse für die nächste Bundesregierung," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(10), pages 761-765, October.
    19. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2024. "Robot Adoption and Product Innovation," GREDEG Working Papers 2024-01, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    20. 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.

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    More about this item

    Keywords

    Automation; Robots; Productivity; Markups; Labor share; Superstar firms;
    All these keywords.

    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

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