IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01123022.html
   My bibliography  Save this paper

The dynamics of knowledge intensive sectors' knowledge base: evidence from biotechnology and telecommunications

Author

Listed:
  • Jackie Krafft

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - CNRS - UNS - Université Nice Sophia Antipolis)

  • Francesco Quatraro

    () (Bureau for Research in Innovation Complexity and Knowledge - Collegio Carlo Alberto, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - CNRS - UNS - Université Nice Sophia Antipolis)

  • Pier Paolo Saviotti

    () (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Institut national de la recherche agronomique (INRA) - Université Grenoble Alpes - Grenoble 2)

Abstract

In this paper, we present a methodology to represent and measure knowledge which takes into account knowledge heterogeneity and its sectoral level theoretical and empirical implications in knowledge intensive environments. We draw on work on recombinant knowledge, extending the approach to include the way the dynamics of technological knowledge creation evolves according to a life cycle; testing the existence of concepts such as technological paradigms; mapping the characteristics of the search process in the phases of exploration and exploitation during this technology life cycle and detecting the differences in sectoral evolution that can be explained by the properties of the knowledge base. We use European Patent Office data (1981–2005) to propose some operational metrics for the knowledge base and its evolution in two knowledge intensive sectors: biotechnology and telecommunications. Our empirical results show that there are interesting and meaningful differences across sectors, which are linked to the different phases of the technology life cycles.

Suggested Citation

  • Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2014. "The dynamics of knowledge intensive sectors' knowledge base: evidence from biotechnology and telecommunications," Post-Print hal-01123022, HAL.
  • Handle: RePEc:hal:journl:hal-01123022
    DOI: 10.1080/13662716.2014.919762
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01123022
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mario Maggioni & Teodora Erika Uberti & Stefano Usai, 2011. "Treating Patents as Relational Data: Knowledge Transfers and Spillovers across Italian Provinces," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 39-67.
    2. Blom, Martin & Castellacci, Fulvio & Fevolden, Arne, 2012. "Defence firms facing liberalization: innovation and export in an agent-based model of the defence industry," MPRA Paper 35702, University Library of Munich, Germany.
    3. Saviotti, Pier Paolo, 2007. "On the dynamics of generation and utilisation of knowledge: The local character of knowledge," Structural Change and Economic Dynamics, Elsevier, vol. 18(4), pages 387-408, December.
    4. Francesco Quatraro, 2011. "ICT capital and services complementarities: the Italian evidence," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2603-2613.
    5. Jackie Krafft, 2010. "Profiting in the info-communications in the age of broadband: lessons and new considerations," Post-Print hal-00203801, HAL.
    6. Davide Consoli & Dioni Elche, 2013. "The evolving knowledge base of professional service sectors," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 477-501, April.
    7. Nesta, Lionel, 2008. "Knowledge and productivity in the world's largest manufacturing corporations," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 886-902, September.
    8. Martin Fransman & Jackie Krafft, 2002. "Telecommunications," Post-Print hal-00212269, HAL.
    9. Colombelli, Alessandra & Krafft, Jackie & Quatraro, Francesco, 2013. "Properties of knowledge base and firm survival: Evidence from a sample of French manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1469-1483.
    10. Francesco Quatraro, 2010. "The Economics of Structural Change in Knowledge," Post-Print halshs-00727628, HAL.
    11. Antonelli, Cristiano & Krafft, Jackie & Quatraro, Francesco, 2010. "Recombinant knowledge and growth: The case of ICTs," Structural Change and Economic Dynamics, Elsevier, vol. 21(1), pages 50-69, March.
    12. Martin L. Weitzman, 1998. "Recombinant Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 113(2), pages 331-360.
    13. Quatraro, Francesco, 2010. "Knowledge coherence, variety and economic growth: Manufacturing evidence from Italian regions," Research Policy, Elsevier, vol. 39(10), pages 1289-1302, December.
    14. M. Hartog & R. Boschma & M. Sotarauta, 2012. "The Impact of Related Variety on Regional Employment Growth in Finland 1993--2006: High-Tech versus Medium/Low-Tech," Industry and Innovation, Taylor & Francis Journals, vol. 19(6), pages 459-476, August.
    15. Teece, David J. & Rumelt, Richard & Dosi, Giovanni & Winter, Sidney, 1994. "Understanding corporate coherence : Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 23(1), pages 1-30, January.
    16. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    17. Krafft Jackie & Quatraro Francesco & Colombelli Alessandra, 2011. "High Growth Firms and Technological Knowledge: Do gazelles follow exploration or exploitation strategies?," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201114, University of Turin.
    18. Alessandra Colombelli & Jackie Krafft & Francesco Quatraro, 2014. "High-growth firms and technological knowledge: do gazelles follow exploration or exploitation strategies? -super-1," Industrial and Corporate Change, Oxford University Press, vol. 23(1), pages 261-291, February.
    19. Weitzman, Martin L, 1996. "Hybridizing Growth Theory," American Economic Review, American Economic Association, vol. 86(2), pages 207-212, May.
    20. Jackie Krafft & Evens Salies, 2008. "The cost of switching Internet providers in the broadband industry, or why ADSL has diffused faster than other innovative technologies: Evidence from the French case," Post-Print hal-00203512, HAL.
    21. Nigel Gilbert & Andreas Pyka & Petra Ahrweiler, 2001. "Innovation Networks - a Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-8.
    22. Gilbert, Nigel & Ahrweiler, Petra & Pyka, Andreas, 2007. "Learning in innovation networks: Some simulation experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 100-109.
    23. Koen Frenken & Frank Van Oort & Thijs Verburg, 2007. "Related Variety, Unrelated Variety and Regional Economic Growth," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 685-697.
    24. Nightingale, Paul, 1998. "A cognitive model of innovation," Research Policy, Elsevier, vol. 27(7), pages 689-709, November.
    25. J. Krafft, 2007. "Telecommunications, the Internet and Mr Schumpeter," Chapters,in: Elgar Companion to Neo-Schumpeterian Economics, chapter 38 Edward Elgar Publishing.
    26. Francesco Quatraro, 2009. "Knowledge Coherence, Variety and Productivity Growth: Manufacturing Evidence from Italian Regions," Papers in Evolutionary Economic Geography (PEEG) 0902, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2009.
    27. Pier P. Saviotti, 1996. "Technological Evolution, Variety and the Economy," Books, Edward Elgar Publishing, number 727.
    28. Martin Fransman, 2004. "The telecoms boom and bust 1996-2003 and the role of financial markets," Journal of Evolutionary Economics, Springer, vol. 14(4), pages 369-406, October.
    29. Saviotti, P. P., 1988. "Information, variety and entropy in technoeconomic development," Research Policy, Elsevier, vol. 17(2), pages 89-103, April.
    30. Olav Sorenson & Jan W. Rivkin & Lee Fleming, 2010. "Complexity, Networks and Knowledge Flows," Chapters,in: The Handbook of Evolutionary Economic Geography, chapter 15 Edward Elgar Publishing.
    31. Lionel Nesta & Ludovic Dibiaggio, 2003. "Technology Strategy and Knowledge Dynamics: The Case of Biotech¹," Industry and Innovation, Taylor & Francis Journals, vol. 10(3), pages 331-349.
    32. Pier Saviotti & Koen Frenken, 2008. "Export variety and the economic performance of countries," Journal of Evolutionary Economics, Springer, vol. 18(2), pages 201-218, April.
    33. Thomas Grebel & Jackie Krafft & Pier-Paolo Saviotti, 2006. "On the Life Cycle of Knowledge Intensive Sectors," Revue de l'OFCE, Presses de Sciences-Po, vol. 97(5), pages 63-85.
    34. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    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. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    2. Martin Kalthaus, 2016. "Knowledge recombination along the technology life cycle," Jena Economic Research Papers 2016-012, Friedrich-Schiller-University Jena.
    3. Francesco Quatraro, 2016. "Co-evolutionary Patterns in Regional Knowledge Bases and Economic Structure: Evidence from European Regions," Regional Studies, Taylor & Francis Journals, vol. 50(3), pages 513-539, March.
    4. Orsatti, Gianluca & Pezzoni, Michele & Quatraro, Francesco, 2017. "Where Do Green Technologies Come From? Inventor Teams’ Recombinant Capabilities and the Creation of New Knowledge," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201711, University of Turin.
    5. repec:eee:respol:v:47:y:2018:i:1:p:139-157 is not listed on IDEAS
    6. repec:spr:intemj:v:13:y:2017:i:4:d:10.1007_s11365-017-0447-6 is not listed on IDEAS
    7. Alessandra Colombelli, 2016. "The impact of local knowledge bases on the creation of innovative start-ups in Italy," Small Business Economics, Springer, vol. 47(2), pages 383-396, August.

    More about this item

    Keywords

    technological classes; patent; coherence; cognitive distance; variety; knowledge base; knowledge intensive sectors;

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

    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:hal:journl:hal-01123022. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.