IDEAS home Printed from https://ideas.repec.org/a/spr/sjecst/v159y2023i1d10.1186_s41937-023-00104-z.html
   My bibliography  Save this article

Digital technologies, technological improvement rates, and innovations “Made in Switzerland”

Author

Listed:
  • Matthias Niggli

    (University of Basel)

  • Christian Rutzer

    (University of Basel)

Abstract

Technologies evolve at different paces and their rate of improvement varies considerably. We demonstrate that the fastest technological progress currently occurs in the digital domain and empirically investigate the relationship between technologies’ improvement rates and breakthrough innovations as measured by forward citations of patents. Our empirical estimates suggest that patents from the digital sphere, as well as those related to fast-improving technologies, are associated with a higher probability to produce breakthrough innovations. We then investigate Swiss core industries’ specialization patterns toward these potential high-impact technologies and compare the state of cutting-edge innovation in Switzerland to other countries. Our findings imply that the Swiss innovation system is among the laggards regarding innovations in today’s fastest improving digital technologies.

Suggested Citation

  • Matthias Niggli & Christian Rutzer, 2023. "Digital technologies, technological improvement rates, and innovations “Made in Switzerland”," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-31, December.
  • Handle: RePEc:spr:sjecst:v:159:y:2023:i:1:d:10.1186_s41937-023-00104-z
    DOI: 10.1186/s41937-023-00104-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s41937-023-00104-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1186/s41937-023-00104-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Christopher L Benson & Christopher L Magee, 2015. "Quantitative Determination of Technological Improvement from Patent Data," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-23, April.
    3. Lee, Keun & Lim, Chaisung, 2001. "Technological regimes, catching-up and leapfrogging: findings from the Korean industries," Research Policy, Elsevier, vol. 30(3), pages 459-483, March.
    4. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
    5. Bronwyn H. Hall & Grid Thoma & Salvatore Torrisi, 2006. "The market value of patents and R&D: Evidence from European firms," KITeS Working Papers 186, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2006.
    6. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    7. Bronwyn H. Hall, 2004. "Innovation and Diffusion," NBER Working Papers 10212, National Bureau of Economic Research, Inc.
    8. Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
    9. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    10. Goldfarb, Avi & Taska, Bledi & Teodoridis, Florenta, 2023. "Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings," Research Policy, Elsevier, vol. 52(1).
    11. Pezzoni, Michele & Veugelers, Reinhilde & Visentin, Fabiana, 2022. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Research Policy, Elsevier, vol. 51(3).
    12. Susanto Basu & John G. Fernald, 2008. "Information and communications technology as a general purpose technology: evidence from U.S. industry data," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15.
    13. Bloom, Nicholas & Hassan, Tarek Alexander & Kalyani, Aakash & Lerner, Josh & Tahoun, Ahmed, 2021. "The diffusion of disruptive technologies," LSE Research Online Documents on Economics 113870, London School of Economics and Political Science, LSE Library.
    14. Arts, Sam & Hou, Jianan & Gomez, Juan Carlos, 2021. "Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures," Research Policy, Elsevier, vol. 50(2).
    15. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    16. James Bessen & Robert M. Hunt, 2007. "An Empirical Look at Software Patents," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(1), pages 157-189, March.
    17. Fontana, Roberto & Nuvolari, Alessandro & Shimizu, Hiroshi & Vezzulli, Andrea, 2013. "Reassessing patent propensity: Evidence from a dataset of R&D awards, 1977–2004," Research Policy, Elsevier, vol. 42(10), pages 1780-1792.
    18. Battisti, Giuliana & Canepa, Alessandra & Stoneman, Paul, 2009. "e-Business usage across and within firms in the UK: profitability, externalities and policy," Research Policy, Elsevier, vol. 38(1), pages 133-143, February.
    19. Baumann, Manuel & Domnik, Tobias & Haase, Martina & Wulf, Christina & Emmerich, Philip & Rösch, Christine & Zapp, Petra & Naegler, Tobias & Weil, Marcel, 2021. "Comparative patent analysis for the identification of global research trends for the case of battery storage, hydrogen and bioenergy," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    20. Lee, Keun & Malerba, Franco, 2017. "Catch-up cycles and changes in industrial leadership:Windows of opportunity and responses of firms and countries in the evolution of sectoral systems," Research Policy, Elsevier, vol. 46(2), pages 338-351.
    21. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
    22. 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.
    23. Sari Pekkala Kerr & William R. Kerr, 2018. "Global Collaborative Patents," Economic Journal, Royal Economic Society, vol. 128(612), pages 235-272, July.
    24. Ferràs-Hernández, Xavier & Tarrats-Pons, Elisenda & Arimany-Serrat, Núria, 2017. "Disruption in the automotive industry: A Cambrian moment," Business Horizons, Elsevier, vol. 60(6), pages 855-863.
    25. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    26. Josh Lerner & Amit Seru, 2022. "The Use and Misuse of Patent Data: Issues for Finance and Beyond," The Review of Financial Studies, Society for Financial Studies, vol. 35(6), pages 2667-2704.
    27. Hoisl, Karin & Stelzer, Tobias & Biala, Stefanie, 2015. "Forecasting technological discontinuities in the ICT industry," Research Policy, Elsevier, vol. 44(2), pages 522-532.
    28. Dietmar Harhoff & Elisabeth Mueller & John Van Reenen, 2014. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(1), pages 204-224, March.
    29. Midttun, Alte & Piccini, Proadpran Boonprasurd, 2017. "Facing the climate and digital challenge: European energy industry from boom to crisis and transformation," Energy Policy, Elsevier, vol. 108(C), pages 330-343.
    30. Aakash Kalyani & Nicholas Bloom & Marcela Carvalho & Tarek Alexander Hassan & Josh Lerner & Ahmed Tahoun, 2021. "The Diffusion of New Technologies," NBER Working Papers 28999, National Bureau of Economic Research, Inc.
    31. Gaétan de Rassenfosse & Hélène Dernis & Geert Boedt, 2014. "An Introduction to the Patstat Database with Example Queries," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 47(3), pages 395-408, September.
    32. Christian Rutzer & Rolf Weder, 2021. "De-Industrialisierung der Schweiz?," Springer Books, Springer, number 978-3-658-34377-4, July.
    33. Hugo Confraria & Vitor Hugo Ferreira & Manuel Mira Godinho, 2021. "Emerging 21st Century technologies: Is Europe still falling behind?," Working Papers REM 2021/0188, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    34. Redding, Stephen, 1999. "Dynamic Comparative Advantage and the Welfare Effects of Trade," Oxford Economic Papers, Oxford University Press, vol. 51(1), pages 15-39, January.
    35. Takashi Inaba & Mariagrazia Squicciarini, 2017. "ICT: A new taxonomy based on the international patent classification," OECD Science, Technology and Industry Working Papers 2017/1, OECD Publishing.
    36. Colin Webb & Hélène Dernis & Dietmar Harhoff & Karin Hoisl, 2005. "Analysing European and International Patent Citations: A Set of EPO Patent Database Building Blocks," OECD Science, Technology and Industry Working Papers 2005/9, OECD Publishing.
    37. Laurent Bergé, 2018. "Efficient estimation of maximum likelihood models with multiple fixed-effects: the R package FENmlm," DEM Discussion Paper Series 18-13, Department of Economics at the University of Luxembourg.
    38. Christopher L. Benson & Christopher L. Magee, 2013. "Erratum to: A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 83-83, July.
    39. Nancy Stokey, 2021. "Technology Diffusion," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 15-36, October.
    40. Jeffrey Kuhn & Kenneth Younge & Alan Marco, 2020. "Patent citations reexamined," RAND Journal of Economics, RAND Corporation, vol. 51(1), pages 109-132, March.
    41. Diego A. Comin & Martí Mestieri, 2010. "An Intensive Exploration of Technology Diffusion," NBER Working Papers 16379, National Bureau of Economic Research, Inc.
    42. Prasanna Tambe & Lorin Hitt & Daniel Rock & Erik Brynjolfsson, 2020. "Digital Capital and Superstar Firms," NBER Working Papers 28285, National Bureau of Economic Research, Inc.
    43. Brezis, Elise S & Krugman, Paul R & Tsiddon, Daniel, 1993. "Leapfrogging in International Competition: A Theory of Cycles in National Technological Leadership," American Economic Review, American Economic Association, vol. 83(5), pages 1211-1219, December.
    44. Stuart Graham & Saurabh Vishnubhakat, 2013. "Of Smart Phone Wars and Software Patents," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 67-86, Winter.
    45. Chattergoon, B. & Kerr, W.R., 2022. "Winner takes all? Tech clusters, population centers, and the spatial transformation of U.S. invention," Research Policy, Elsevier, vol. 51(2).
    46. Bresnahan, Timothy, 2010. "General Purpose Technologies," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 761-791, Elsevier.
    47. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    48. Christopher L. Benson & Christopher L. Magee, 2013. "A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 69-82, July.
    49. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    Full references (including those not matched with items on IDEAS)

    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. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    2. Triulzi, Giorgio & Alstott, Jeff & Magee, Christopher L., 2020. "Estimating technology performance improvement rates by mining patent data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    4. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    5. Bergeaud Antonin & Schmidt Julia & Zago Riccardo, 2022. "Patents that Match your Standards: Firm-level Evidence on Competition and Growth," Working papers 876, Banque de France.
    6. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    7. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    8. Hugo Confraria & Vitor Hugo Ferreira & Manuel Mira Godinho, 2021. "Emerging 21st Century technologies: Is Europe still falling behind?," Working Papers REM 2021/0188, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    9. Tarek A. Hassan & Stephan Hollander & Aakash Kalyani & Markus Schwedeler & Ahmed Tahoun & Laurence van Lent, 2024. "Economic Surveillance using Corporate Text," Working Papers 2024-022, Federal Reserve Bank of St. Louis.
    10. Matthias Niggli, 2023. "‘Moving On’—investigating inventors’ ethnic origins using supervised learning," Review of Finance, European Finance Association, vol. 23(4), pages 921-947.
    11. Heikkilä, Jussi & Rissanen, Julius & Ali-Vehmas, Timo, 2023. "Coopetition, standardization and general purpose technologies: A framework and an application," Telecommunications Policy, Elsevier, vol. 47(4).
    12. Matthias Niggli, 2023. "‘Moving On’—investigating inventors’ ethnic origins using supervised learning," Journal of Economic Geography, Oxford University Press, vol. 23(4), pages 921-947.
    13. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    14. Mariani, Manuel Sebastian & Medo, Matúš & Lafond, François, 2019. "Early identification of important patents: Design and validation of citation network metrics," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 644-654.
    15. Deyu Li & Floor Alkemade & Koen Frenken & Gaston Heimeriks, 2023. "Catching up in clean energy technologies: a patent analysis," The Journal of Technology Transfer, Springer, vol. 48(2), pages 693-715, April.
    16. Christopher L. Benson & Christopher L. Magee, 2018. "Data-Driven Investment Decision-Making: Applying Moore's Law and S-Curves to Business Strategies," Papers 1805.06339, arXiv.org.
    17. Matthias Niggli, 2022. "'Moving On' -- Investigating Inventors' Ethnic Origins Using Supervised Learning," Papers 2201.00578, arXiv.org.
    18. Donghyun You & Hyunseok Park, 2018. "Developmental Trajectories in Electrical Steel Technology Using Patent Information," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    19. Manajit Chakraborty & Maksym Byshkin & Fabio Crestani, 2020. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-28, December.
    20. Makridis, Christos A. & McGuire, Erin, 2023. "The quality of innovation “Booms” during “Busts”," Research Policy, Elsevier, vol. 52(1).

    More about this item

    Keywords

    Technological change; Technological progress; Patents; Digitization;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:spr:sjecst:v:159:y:2023:i:1:d:10.1186_s41937-023-00104-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.