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Robot adoption and product innovation

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  • Antonioli, Davide
  • Marzucchi, Alberto
  • Rentocchini, Francesco
  • Vannuccini, Simone

Abstract

We investigate the unexplored relationship between robot technology adoption and product innovation. We exploit Spanish firm-level data on robot adoption and use a staggered timing difference-in-differences, supported by an instrumental variable approach. Instead of an enabling effect, we find a negative association between robot adoption and the probability to introduce product innovations, as well as their number. The result is particularly significant for larger, established, and non-high-tech firms. In line with industry evolution models, we rationalise and interpret the findings suggesting that a key mechanism at work in the robotisation-innovation nexus are diseconomies of scope fuelled by capacity-increasing investments. We also discuss whether industrial robots in our data feature enabling capabilities at all. Our results have important implications for understanding the role of robots in firms' operations and strategies, as well as for policy design.

Suggested Citation

  • Antonioli, Davide & Marzucchi, Alberto & Rentocchini, Francesco & Vannuccini, Simone, 2024. "Robot adoption and product innovation," Research Policy, Elsevier, vol. 53(6).
  • Handle: RePEc:eee:respol:v:53:y:2024:i:6:s0048733324000519
    DOI: 10.1016/j.respol.2024.105002
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    3. Fariborz Damanpour & Shanthi Gopalakrishnan, 2001. "The Dynamics of the Adoption of Product and Process Innovations in Organizations," Journal of Management Studies, Wiley Blackwell, vol. 38(1), pages 45-65, January.
    4. Ping Lin, 2004. "Process and product R&D by a multiproduct monopolist," Oxford Economic Papers, Oxford University Press, vol. 56(4), pages 735-743, October.
    5. Salvador Barrios & Holger Görg & Eric Strobl, 2003. "Explaining Firms’ Export Behaviour: R&D, Spillovers and the Destination Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(4), pages 475-496, September.
    6. Ballot, Gérard & Fakhfakh, Fathi & Galia, Fabrice & Salter, Ammon, 2015. "The fateful triangle: Complementarities in performance between product, process and organizational innovation in France and the UK," Research Policy, Elsevier, vol. 44(1), pages 217-232.
    7. Lambertini, Luca & Mantovani, Andrea, 2009. "Process and product innovation by a multiproduct monopolist: A dynamic approach," International Journal of Industrial Organization, Elsevier, vol. 27(4), pages 508-518, July.
    8. Philippe Aghion & Celine Antonin & Simon Bunel & Xavier Jaravel, 2023. "The Local Labor Market Effects of Modern Manufacturing Capital: Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 219-223, May.
    9. Nicholas Bloom & Benn Eifert & Aprajit Mahajan & David McKenzie & John Roberts, 2013. "Does Management Matter? Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 1-51.
    10. Christophe Combemale & Kate S Whitefoot & Laurence Ales & Erica R H Fuchs, 2021. "Not all technological change is equal: how the separability of tasks mediates the effect of technology change on skill demand [Patterns of industrial innovation]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1361-1387.
    11. Lene Kromann & Anders Sørensen, 2019. "Automation, performance and international competition: a firm-level comparison of process innovation," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 691-722.
    12. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).
    13. 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.
    14. David H. Autor, 2019. "Work of the Past, Work of the Future," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 1-32, May.
    15. , & Stiebale, Joel & Woessner, Nicole, 2020. "Robots and the rise of European superstar firms," CEPR Discussion Papers 15080, C.E.P.R. Discussion Papers.
    16. Daniela Scur & Raffaella Sadun & John Van Reenen & Renata Lemos & Nicholas Bloom, 2021. "The World Management Survey at 18: lessons and the way forward," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(2), pages 231-258.
    17. 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.
    18. Eugenio J. Miravete & José C. Pernías, 2006. "Innovation Complementarity And Scale Of Production," Journal of Industrial Economics, Wiley Blackwell, vol. 54(1), pages 1-29, March.
    19. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1.
    20. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    21. Andrea Mantovani, 2006. "Complementarity between product and process innovation in a monopoly setting," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(3), pages 219-234.
    22. Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2020. "Difference-in-Differences Estimators of Intertemporal Treatment Effects," Papers 2007.04267, arXiv.org, revised Dec 2024.
    23. Pia Weiss, 2003. "Adoption of Product and Process Innovations in Differentiated Markets: The Impact of Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 23(3), pages 301-314, December.
    24. Marianne Bertrand & Antoinette Schoar, 2003. "Managing with Style: The Effect of Managers on Firm Policies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1169-1208.
    25. Arianna Martinelli & Andrea Mina & Massimo Moggi, 2021. "The enabling technologies of industry 4.0: examining the seeds of the fourth industrial revolution [Mapping innovation dynamics in the Internet of Things domain: evidence from patent analysis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(1), pages 161-188.
    26. Luca Lambertini, 2003. "The monopolist's optimal R&D portfolio," Oxford Economic Papers, Oxford University Press, vol. 55(4), pages 561-578, October.
    27. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    28. Hirvonen, Johannes & Stenhammar, Aapo & Tuhkuri, Joonas, 2022. "New Evidence on the Effect of Technology on Employment and Skill Demand," ETLA Working Papers 93, The Research Institute of the Finnish Economy.
    29. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    30. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    31. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
    32. Alistair Nolan, 2021. "Making life richer, easier and healthier: Robots, their future and the roles for public policy," OECD Science, Technology and Industry Policy Papers 117, OECD Publishing.
    33. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    34. 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.
    35. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    36. 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.
    37. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    38. Tatyana Deryugina, 2017. "The Fiscal Cost of Hurricanes: Disaster Aid versus Social Insurance," American Economic Journal: Economic Policy, American Economic Association, vol. 9(3), pages 168-198, August.
    39. Marion Frenz & Martha Prevezer, 2012. "What Can CIS Data Tell Us about Technological Regimes and Persistence of Innovation?," Industry and Innovation, Taylor & Francis Journals, vol. 19(4), pages 285-306, May.
    40. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    41. Cohen, Wesley M & Klepper, Steven, 1996. "Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 232-243, May.
    42. Casey Ichniowski & Kathryn Shaw, 2003. "Beyond Incentive Pay: Insiders' Estimates of the Value of Complementary Human Resource Management Practices," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 155-180, Winter.
    43. 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).
    44. Luca Lambertini & Andrea Mantovani, 2010. "Process and product innovation: A differential game approach to product life cycle," International Journal of Economic Theory, The International Society for Economic Theory, vol. 6(2), pages 227-252, June.
    45. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    46. Fernández-Macías, Enrique & Klenert, David & Antón, José-Ignacio, 2021. "Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 76-89.
    47. Thomas Niebel & Fabienne Rasel & Steffen Viete, 2019. "BIG data – BIG gains? Understanding the link between big data analytics and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(3), pages 296-316, April.
    48. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
    49. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    50. Deng, Liuchun & Plümpe, Verena & Stegmaier, Jens, 2021. "Robot adoption at German plants," IWH Discussion Papers 19/2020, Halle Institute for Economic Research (IWH), revised 2021.
    51. Hullova, Dusana & Trott, Paul & Simms, Christopher Don, 2016. "Uncovering the reciprocal complementarity between product and process innovation," Research Policy, Elsevier, vol. 45(5), pages 929-940.
    52. Hirvonen, Johannes & Stenhammar, Aapo & Tuhkuri, Joonas, 2022. "Policy Brief: New Evidence on the Effect of Technology on Employment and Skill Demand," ETLA Brief 108, The Research Institute of the Finnish Economy.
    53. Spyros Arvanitis & Florian Seliger & Tobias Stucki, 2016. "The relative importance of human resource management practices for innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(8), pages 769-800, November.
    54. Jonathan Roth, 2022. "Pretest with Caution: Event-Study Estimates after Testing for Parallel Trends," American Economic Review: Insights, American Economic Association, vol. 4(3), pages 305-322, September.
    55. James Bessen & Maarten Goos & Anna Salomons & Wiljan van den Berge, 2020. "Firm-Level Automation: Evidence from the Netherlands," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 389-393, May.
    56. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
    57. Efraim Benmelech & Michal Zator, 2022. "Robots and Firm Investment," NBER Working Papers 29676, National Bureau of Economic Research, Inc.
    58. Li, Shoude & Ni, Jian, 2016. "A dynamic analysis of investment in process and product innovation with learning-by-doing," Economics Letters, Elsevier, vol. 145(C), pages 104-108.
    59. 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).
    60. Atkinson, Anthony B & Stiglitz, Joseph E, 1969. "A New View of Technological Change," Economic Journal, Royal Economic Society, vol. 79(315), pages 573-578, September.
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    More about this item

    Keywords

    Robots; Automation; Product innovation; Industry evolution;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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