IDEAS home Printed from https://ideas.repec.org/a/oup/cjrecs/v13y2020i1p175-192..html
   My bibliography  Save this article

OK Computer: the creation and integration of AI in Europe

Author

Listed:
  • Bernardo S Buarque
  • Ronald B Davies
  • Ryan M Hynes
  • Dieter F Kogler

Abstract

This article investigates the creation and integration of artificial intelligence (AI) patents in Europe. We create a panel of AI patents over time, mapping them into regions at the NUTS2 level. We then proceed by examining how AI is integrated into the knowledge space of each region. In particular, we find that those regions where AI is most embedded into the innovation landscape are also those where the number of AI patents is largest. This suggests that, to increase AI innovation, it may be necessary to integrate it with industrial development, a feature central to many recent AI-promoting policies.

Suggested Citation

  • Bernardo S Buarque & Ronald B Davies & Ryan M Hynes & Dieter F Kogler, 2020. "OK Computer: the creation and integration of AI in Europe," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 175-192.
    • Handle: RePEc:oup:cjrecs:v:13:y:2020:i:1:p:175-192.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/cjres/rsz023
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dieter F. Kogler & Jürgen Essletzbichler & David L. Rigby, 2017. "The evolution of specialization in the EU15 knowledge space," Journal of Economic Geography, Oxford University Press, vol. 17(2), pages 345-373.
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    4. Ron Boschma & Pierre-Alexandre Balland & Dieter Franz Kogler, 2015. "Relatedness and technological change in cities: the rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 223-250.
    5. 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.
    6. 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.
    7. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    8. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    9. Ron Boschma, 2017. "Relatedness as driver of regional diversification: a research agenda," Regional Studies, Taylor & Francis Journals, vol. 51(3), pages 351-364, March.
    10. Dieter F. Kogler, 2015. "Editorial: Evolutionary Economic Geography - Theoretical and Empirical Progress," Regional Studies, Taylor & Francis Journals, vol. 49(5), pages 705-711, May.
    11. Dieter Franz Kogler, 2017. "Relatedness as driver of regional diversification: a research agenda – a commentary," Regional Studies, Taylor & Francis Journals, vol. 51(3), pages 365-369, March.
    12. Ron Martin & Peter Sunley, 2006. "Path dependence and regional economic evolution," Journal of Economic Geography, Oxford University Press, vol. 6(4), pages 395-437, August.
    13. Maryann P. Feldman & Dieter F. Kogler & David L. Rigby, 2015. "rKnowledge: The Spatial Diffusion and Adoption of rDNA Methods," Regional Studies, Taylor & Francis Journals, vol. 49(5), pages 798-817, May.
    14. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    15. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    16. Ron Boschma, 2017. "Relatedness as driver behind regional diversification: a research agenda," Papers in Evolutionary Economic Geography (PEEG) 1702, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2017.
    17. Avi Goldfarb & Daniel Trefler, 2018. "Artificial Intelligence and International Trade," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 463-492, National Bureau of Economic Research, Inc.
    18. 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.
    19. Jason Furman & Robert Seamans, 2019. "AI and the Economy," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 161-191.
    20. Ivan Haščič & Mauro Migotto, 2015. "Measuring environmental innovation using patent data," OECD Environment Working Papers 89, OECD Publishing.
    21. Sam Arts & Bruno Cassiman & Juan Carlos Gomez, 2018. "Text matching to measure patent similarity," Strategic Management Journal, Wiley Blackwell, vol. 39(1), pages 62-84, January.
    22. Jeremy Atack & Robert A. Margo & Paul W. Rhode, 2019. ""Automation" of Manufacturing in the Late Nineteenth Century: The Hand and Machine Labor Study," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 51-70, Spring.
    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. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    25. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    26. 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.
    27. Bart Nooteboom, 2000. "Learning by Interaction: Absorptive Capacity, Cognitive Distance and Governance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 4(1), pages 69-92, March.
    28. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    29. Avi Goldfarb & Daniel Trefler, 2018. "AI and International Trade," NBER Working Papers 24254, National Bureau of Economic Research, Inc.
    30. Dieter Franz Kogler & Gaston Heimeriks & Loet Leydesdorff, 2018. "Patent portfolio analysis of cities: statistics and maps of technological inventiveness," European Planning Studies, Taylor & Francis Journals, vol. 26(11), pages 2256-2278, November.
    31. 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.
    32. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2018. "Introduction to "The Economics of Artificial Intelligence: An Agenda"," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 1-19, National Bureau of Economic Research, Inc.
    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. Colin Wessendorf & Alexander Kopka & Dirk Fornahl, 2021. "The impact of the six European Key Enabling Technologies (KETs) on regional knowledge creation," Papers in Evolutionary Economic Geography (PEEG) 2127, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    2. Sandro Montresor & Gianluca Orsatti & Francesco Quatraro, 2023. "Technological novelty and key enabling technologies: evidence from European regions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(6), pages 851-872, August.
    3. Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
    4. Dieter F. Kogler & Ronald B. Davies & Changjun Lee & Keungoui Kim, 2023. "Regional knowledge spaces: the interplay of entry-relatedness and entry-potential for technological change and growth," The Journal of Technology Transfer, Springer, vol. 48(2), pages 645-668, April.
    5. Jing Xiao & Ron Boschma, 2023. "The emergence of artificial intelligence in European regions: the role of a local ICT base," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(3), pages 747-773, December.
    6. Anabela Marques Santos & Francesco Molica & Carlos Torrecilla Salinas, 2024. "EU-funded investment in Artificial Intelligence and regional specialization," GEE Papers 181, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2024.
    7. Bonilla, George J.J. & Dietlmeier, Simon Frederic & Urmetzer, Florian, 2023. "Multi-Stakeholder Ecosystem for Standardization of AI in Industry," MPRA Paper 120619, University Library of Munich, Germany.
    8. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    9. Ozgun, Burcu & Broekel, Tom, 2021. "The geography of innovation and technology news - An empirical study of the German news media," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

    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. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    2. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. 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).
    4. Ozgun, Burcu & Broekel, Tom, 2021. "The geography of innovation and technology news - An empirical study of the German news media," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(10), pages 1-1.
    6. Lee, Changjun & Shin, Hyunha & Kim, Keungoui & Kogler, Dieter F., 2022. "The effects of regional capacity in knowledge recombination on production efficiency," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    7. Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    8. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the Digital Divide: Workers' Exposure to Digitalization and Its Consequences for Individual Employment," IZA Discussion Papers 14649, Institute of Labor Economics (IZA).
    9. Gries, Thomas & Naude, Wim, 2018. "Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter?," MERIT Working Papers 2018-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Ryan M. Hynes & Bernardo S. Buarque & Ronald B. Davies & Dieter F. Kogler, 2020. "Hops, Skip & a Jump - The Regional Uniqueness of Beer Styles," Working Papers 202013, Geary Institute, University College Dublin.
    11. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    12. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    13. Gergő Tóth & Zoltán Elekes & Adam Whittle & Changjun Lee & Dieter F. Kogler, 2022. "Technology Network Structure Conditions the Economic Resilience of Regions," Economic Geography, Taylor & Francis Journals, vol. 98(4), pages 355-378, August.
    14. Kerstin Hötte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2024. "Automation and taxation," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 945-969.
      • Kerstin Hotte & Angelos Theodorakopoulos & Pantelis Koutroumpis, 2021. "Automation and Taxation," Papers 2103.04111, arXiv.org, revised Apr 2022.
    15. Martin Labaj & Materj Vitalos, 2019. "Automation and labor demand in European countries: A task-based approach to wage bill decomposition," Department of Economic Policy Working Paper Series 021, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    16. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    17. 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.
    18. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    19. Adam Whittle & Balázs Lengyel & Dieter F. Kogler, 2020. "Understanding Regional Branching Knowledge Diversification via Inventor Collaboration Networks," Papers in Evolutionary Economic Geography (PEEG) 2006, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2020.
    20. Manav Raj & Robert Seamans, 2019. "Primer on artificial intelligence and robotics," Journal of Organization Design, Springer;Organizational Design Community, vol. 8(1), pages 1-14, December.

    More about this item

    Keywords

    artificial intelligence; geography of innovation; knowledge space; technological change; regional studies;
    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
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    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:oup:cjrecs:v:13:y:2020:i:1:p:175-192.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/cjres .

    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.