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Automation and Related Technologies: A Mapping of the New Knowledge Base

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  • Santarelli, Enrico
  • Staccioli, Jacopo
  • Vivarelli, Marco

Abstract

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a whole and distinguishing core and related innovations, along a 4-level core-periphery architecture. Merging patent applications with the Orbis IP firm-level database allows us to put forward a twofold analysis based on industry of activity and geographic location. In a nutshell, results show that: (i) rather than representing a technological revolution, the new knowledge base is strictly linked to the previous technological paradigm; (ii) the new knowledge base is characterised by a considerable - but not impressively widespread - degree of pervasiveness; (iii) robotics and AI are strictly related, converging (particularly among the related technologies and in more recent times) and jointly shaping a new knowledge base that should be considered as a whole, rather than consisting of two separate GPTs; (iv) the US technological leadership turns out to be confirmed (although declining in relative terms in favour of Asian countries such as South Korea, China and, more recently, India).

Suggested Citation

  • Santarelli, Enrico & Staccioli, Jacopo & Vivarelli, Marco, 2022. "Automation and Related Technologies: A Mapping of the New Knowledge Base," GLO Discussion Paper Series 1022, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1022
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    as
    1. Chris Freeman, 2019. "History, Co-Evolution and Economic Growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 1-44.
    2. Paul A. David & Gavin Wright, "undated". "General Purpose Technologies and Surges in Productivity: Historical Reflections on the Future of the ICT Revolution," Working Papers 99026, Stanford University, Department of Economics.
    3. Sergio Petralia, 2020. "Mapping General Purpose Technologies with Patent Data," Papers in Evolutionary Economic Geography (PEEG) 2027, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2020.
    4. Katia Angué & Cécile Ayerbe & Liliana Mitkova, 2014. "A Method Using Two Dimensions of the Patent Classification for Measuring the Technological Proximity. An Application in Identifying a Potential R&D Partner in Biotechnology," Post-Print hal-01133957, HAL.
    5. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Raquel Ortega‐Argilés & Mariacristina Piva & Marco Vivarelli, 2014. "The transatlantic productivity gap: Is R&D the main culprit?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1342-1371, November.
    7. Jacopo Staccioli & Maria Enrica Virgillito, 2021. "Back to the past: the historical roots of labor-saving automation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 27-57, March.
    8. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," The Journal of Technology Transfer, Springer, vol. 39(5), pages 716-747, October.
    9. repec:adr:anecst:y:1998:i:49-50:p:02 is not listed on IDEAS
    10. Philippe Aghion & Peter Howitt, 1999. "On the Macroeconomic Effects of Major Technological Change," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 25, pages 15-32.
    11. Jovanovic, Boyan & Rousseau, Peter L., 2005. "General Purpose Technologies," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 18, pages 1181-1224, Elsevier.
    12. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    13. Giovanni Dosi & Luigi Marengo & Alessandro Nuvolari, 2020. "Institutions and economic change: some notes on self-organization, power and learning in human organizations," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 1-22, March.
    14. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," Post-Print halshs-00925820, HAL.
    15. Rosenberg, Nathan & Frischtak, Claudio R, 1984. "Technological Innovation and Long Waves," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 8(1), pages 7-24, March.
    16. Cristiano Andrea Ristuccia & Solomos Solomou, "undated". "Can general purpose technology theory explain economic growth? Electrical power as a case study," Working Papers 18, Department of Economic and Social History at the University of Cambridge.
    17. Emanuela Carbonara & Giuseppina Gianfreda & Enrico Santarelli & Giovanna Vallanti, 2021. "The impact of intellectual property rights on labor productivity: do constitutions matter? [Research and development in the growth process]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 884-904.
    18. Cristiano Andrea Ristuccia & Solomos Solomou, 2014. "Editor's choice Can general purpose technology theory explain economic growth? Electrical power as a case study," European Review of Economic History, European Historical Economics Society, vol. 18(3), pages 227-247.
    19. Lipsey, Richard G. & Carlaw, Kenneth I. & Bekar, Clifford T., 2005. "Economic Transformations: General Purpose Technologies and Long-Term Economic Growth," OUP Catalogue, Oxford University Press, number 9780199290895.
    20. Sergio Petralia, 2020. "GPTs and Growth: Evidence on the Technological Adoption of Electrical & Electronic Technologies in the 1920s," Papers in Evolutionary Economic Geography (PEEG) 2033, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2020.
    21. Woo Jin Lee & Won Kyung Lee & So Young Sohn, 2016. "Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-16, October.
    22. Petralia, Sergio, 2020. "Mapping general purpose technologies with patent data," Research Policy, Elsevier, vol. 49(7).
    23. Dieter F. Kogler & David L. Rigby & Isaac Tucker, 2013. "Mapping Knowledge Space and Technological Relatedness in US Cities," European Planning Studies, Taylor & Francis Journals, vol. 21(9), pages 1374-1391, September.
    24. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-1171, September.
    25. Katia Angué & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," Post-Print halshs-01111790, HAL.
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    Cited by:

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    2. Martin R. W. Hiebl & David I. Pielsticker, 2023. "Automation, organizational ambidexterity and the stability of employee relations: new tensions arising between corporate entrepreneurship, innovation management and stakeholder management," The Journal of Technology Transfer, Springer, vol. 48(6), pages 1978-2006, December.
    3. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Verhoeven, Loesje & Ritzen, Jo, 2022. "Globalisation increased trust in northern and western Europe between 2002 and 2018," MERIT Working Papers 2022-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Muysken, Joan & Meijers, Huub, 2022. "Globalisation and financialisation in the Netherlands, 1995 - 2020," MERIT Working Papers 2022-006, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Olena Khlystova & Yelena Kalyuzhnova, 2023. "The impact of the creative industries and digitalization on regional resilience and productive entrepreneurship," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1654-1695, October.

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    More about this item

    Keywords

    Robotics; Artificial Intelligence; General Purpose Technology; Technological Paradigm; Industry 4.0; Patents full-text;
    All these keywords.

    JEL classification:

    • 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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