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A note on Germany's role in the fourth industrial revolution

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  • Behrens, Vanessa
  • Viete, Steffen

Abstract

This paper provides in-depth insights into patenting activities in technologies of the Fourth Industrial Revolution (4IR) in Germany and worldwide between the years 1990 and 2016. The descriptive analysis of these digital inventions at the current technological frontier yields several main findings. Germany is a leader in 4IR innovations, accounting for 12% of all 4IR patents filed wordwide. Digital inventions are predominantly filed in the ICT sector, yet compared to other 4IR leaders, Germany's 4IR patents are relatively more directed to the motor vehicles sector and less so to the ICT sector. This is driven by Germany's high R&D-intensity in this sector, rather than a larger share of 4IR inventions in the motor vehicle sector. Germany's leading position is driven by its high number of patent applications rather than a specialization in 4IR.

Suggested Citation

  • Behrens, Vanessa & Viete, Steffen, 2020. "A note on Germany's role in the fourth industrial revolution," Working Papers 09/2020, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    • Handle: RePEc:zbw:svrwwp:092020
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    References listed on IDEAS

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    1. William R. Kerr, 2010. "Breakthrough Inventions and Migrating Clusters of Innovation," NBER Chapters, in: Cities and Entrepreneurship, National Bureau of Economic Research, Inc.
    2. 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, March.
    3. Timothy DeStefano & Richard Kneller & Jonathan Timmis, 2019. "Cloud computing and firm growth," Discussion Papers 2019-09, University of Nottingham, GEP.
    4. Mario Benassi & Elena Grinza & Francesco Rentocchini, 2019. "The Rush for Patents in the Fourth Industrial Revolution: An Exploration of Patenting Activity at the European Patent Office," SPRU Working Paper Series 2019-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Helene Dernis & Petros Gkotsis & Nicola Grassano & Shohei Nakazato & Mariagrazia Squicciarini & Brigitte van Beuzekom & Antonio Vezzani, 2019. "World Corporate Top R&D investors: Shaping the Future of Technologies and of AI," JRC Research Reports JRC117068, Joint Research Centre.
    6. Matilde Mas & Juan Fernandez de Guevara & Juan Carlos Robledo & Riccardo Righi & Melisande Cardona & Sofia Samoili, 2019. "The 2019 PREDICT Key Facts Report. An analysis of ICT R&D in the EU and beyond," JRC Research Reports JRC116987, Joint Research Centre.
    7. 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.
    8. Matilde Mas & Juan Fernandez de Guevara & Juan Carlos Robledo & Melisande Cardona & Riccardo Righi & Sofia Samoili & Miguel Vazquez-Prada Baillet, 2020. "THE 2020 PREDICT REPORT Key Facts Report: An Analysis of ICT R&D in the EU and Beyond," JRC Research Reports JRC121153, Joint Research Centre.
    9. Fujii, Hidemichi & Managi, Shunsuke, 2018. "Trends and priority shifts in artificial intelligence technology invention: A global patent analysis," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 60-69.
    10. Gautam Ahuja & Curba Morris Lampert, 2001. "Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 521-543, June.
    11. Harhoff, Dietmar & Scherer, Frederic M. & Vopel, Katrin, 2003. "Citations, family size, opposition and the value of patent rights," Research Policy, Elsevier, vol. 32(8), pages 1343-1363, September.
    12. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, December.
    13. von Graevenitz, Georg & Wagner, Stefan & Harhoff, Dietmar, 2011. "How to measure patent thickets--A novel approach," Economics Letters, Elsevier, vol. 111(1), pages 6-9, April.
    14. Pakes, Ariel & Griliches, Zvi, 1980. "Patents and R&D at the firm level: A first report," Economics Letters, Elsevier, vol. 5(4), pages 377-381.
    15. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
    16. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 115-146, National Bureau of Economic Research, Inc.
    17. Mariagrazia Squicciarini & Hélène Dernis & Chiara Criscuolo, 2013. "Measuring Patent Quality: Indicators of Technological and Economic Value," OECD Science, Technology and Industry Working Papers 2013/3, OECD Publishing.
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