IDEAS home Printed from https://ideas.repec.org/p/zbw/iwhdps/iwh-1-14.html
   My bibliography  Save this paper

Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach

Author

Listed:
  • Buchmann, Tobias
  • Hain, Daniel
  • Kudic, Muhamed
  • Müller, Matthias

Abstract

Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The 'experience effect' as well as the 'transitivity effects' are significant for both industries but more pronounced for laser manufacturing firms. When it comes to 'geographical effects' and 'technological effects' the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words,technological heterogeneity seems to explain, at least in science-driven industries, the attractiveness of potential cooperation partners.

Suggested Citation

  • Buchmann, Tobias & Hain, Daniel & Kudic, Muhamed & Müller, Matthias, 2014. "Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach," IWH Discussion Papers 1/2014, Halle Institute for Economic Research (IWH).
  • Handle: RePEc:zbw:iwhdps:iwh-1-14
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/90173/1/776115766.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    3. Wuyts, Stefan & Colombo, Massimo G. & Dutta, Shantanu & Nooteboom, Bart, 2005. "Empirical tests of optimal cognitive distance," Journal of Economic Behavior & Organization, Elsevier, vol. 58(2), pages 277-302, October.
    4. Ron Boschma & Ron Martin (ed.), 2010. "The Handbook of Evolutionary Economic Geography," Books, Edward Elgar Publishing, number 12864.
    5. Carlsson, Bo & Jacobsson, Staffan & Holmen, Magnus & Rickne, Annika, 2002. "Innovation systems: analytical and methodological issues," Research Policy, Elsevier, vol. 31(2), pages 233-245, February.
    6. Guido Buenstorf, 2007. "Evolution on the Shoulders of Giants: Entrepreneurship and Firm Survival in the German Laser Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 30(3), pages 179-202, May.
    7. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    8. Anne Ter Wal & Ron Boschma, 2011. "Co-evolution of Firms, Industries and Networks in Space," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 919-933.
    9. Guido Buenstorf & Steven Klepper, 2010. "Submarket dynamics and innovation: the case of the US tire industry," Industrial and Corporate Change, Oxford University Press, vol. 19(5), pages 1563-1587, October.
    10. Thomas Brenner & Uwe Cantner & Holger Graf, 2011. "Innovation Networks: Measurement, Performance and Regional Dimensions," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 1-5.
    11. Lorenzo Cassi & Nicoletta Corrocher & Franco Malerba & Nicholas Vonortas, 2008. "Research Networks As Infrastructure For Knowledge Diffusion In European Regions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(7-8), pages 663-676.
    12. Jovanovic, Boyan & MacDonald, Glenn M, 1994. "The Life Cycle of a Competitive Industry," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 322-347, April.
    13. Tobias Buchman & Andreas Pyka, 2012. "Innovation Networks," Chapters, in: Michael Dietrich & Jackie Krafft (ed.), Handbook on the Economics and Theory of the Firm, chapter 33, Edward Elgar Publishing.
    14. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    15. Evert-Jan Visser, 2009. "The Complementary Dynamic Effects of Clusters and Networks," Industry and Innovation, Taylor & Francis Journals, vol. 16(2), pages 167-195.
    16. Horst Hanusch & Andreas Pyka, 2007. "Principles of Neo-Schumpeterian Economics," Cambridge Journal of Economics, Oxford University Press, vol. 31(2), pages 275-289, March.
    17. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    18. Dirk Fornahl & Tom Broekel & Ron Boschma, 2011. "What drives patent performance of German biotech firms? The impact of R&D subsidies, knowledge networks and their location," Papers in Regional Science, Wiley Blackwell, vol. 90(2), pages 395-418, June.
    19. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    20. Pierre-Alexandre Balland, 2012. "Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 741-756, September.
    21. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    22. Ingemar Dierickx & Karel Cool, 1989. "Asset Stock Accumulation and Sustainability of Competitive Advantage," Management Science, INFORMS, vol. 35(12), pages 1504-1511, December.
    23. Cooke, Philip, 2001. "Regional Innovation Systems, Clusters, and the Knowledge Economy," Industrial and Corporate Change, Oxford University Press, vol. 10(4), pages 945-974, December.
    24. 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.
    25. Eric von Hippel, 1994. ""Sticky Information" and the Locus of Problem Solving: Implications for Innovation," Management Science, INFORMS, vol. 40(4), pages 429-439, April.
    26. Holger Graf, 2006. "Networks in the Innovation Process," Books, Edward Elgar Publishing, number 4249.
    27. 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.
    28. Tom Broekel & Holger Graf, 2010. "Structural properties of cooperation networks in Germany: From basic to applied research," Jena Economic Research Papers 2010-078, Friedrich-Schiller-University Jena.
    29. Robert M. Grant & Charles Baden‐Fuller, 2004. "A Knowledge Accessing Theory of Strategic Alliances," Journal of Management Studies, Wiley Blackwell, vol. 41(1), pages 61-84, January.
    30. Maskell, Peter & Malmberg, Anders, 1999. "Localised Learning and Industrial Competitiveness," Cambridge Journal of Economics, Oxford University Press, vol. 23(2), pages 167-185, March.
    31. Klepper, Steven, 1997. "Industry Life Cycles," Industrial and Corporate Change, Oxford University Press, vol. 6(1), pages 145-181.
    32. Tom Broekel & Holger Graf, 2012. "Public research intensity and the structure of German R&D networks: a comparison of 10 technologies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(4), pages 345-372, April.
    33. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 137-156.
    34. Johannes van Biesebroeck, 2003. "Productivity Dynamics with Technology Choice: An Application to Automobile Assembly," Review of Economic Studies, Oxford University Press, vol. 70(1), pages 167-198.
    35. Leon Oerlemans & Marius Meeus, 2005. "Do Organizational and Spatial Proximity Impact on Firm Performance?," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 89-104.
    36. Thomas Scherngell & Michael J. Barber, 2009. "Spatial interaction modelling of cross‐region R&D collaborations: empirical evidence from the 5th EU framework programme," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 531-546, August.
    37. Buchmann, Tobias & Pyka, Andreas, 2013. "The evolution of innovation networks: The case of a German automotive network," FZID Discussion Papers 70-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    38. Aino Halinen & Asta Salmi & Virpi Havila, 1999. "From Dyadic Change to Changing Business Networks: An Analytical Framework," Journal of Management Studies, Wiley Blackwell, vol. 36(6), pages 779-794, November.
    39. Pavitt, Keith, 1998. "The inevitable limits of EU R&D funding," Research Policy, Elsevier, vol. 27(6), pages 559-568, September.
    40. Amin, Ash & Wilkinson, Frank, 1999. "Learning, Proximity and Industrial Performance: An Introduction," Cambridge Journal of Economics, Oxford University Press, vol. 23(2), pages 121-125, March.
    41. Russell W. Coff, 2003. "The emergent knowledge-based theory of competitive advantage: an evolutionary approach to integrating economics and management," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 245-251.
    42. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    43. Ingemar Dierickx & Karel Cool, 1989. "Asset Stock Accumulation and the Sustainability of Competitive Advantage: Reply," Management Science, INFORMS, vol. 35(12), pages 1514-1514, December.
    44. Thomas Scherngell & Michael Barber, 2011. "Distinct spatial characteristics of industrial and public research collaborations: evidence from the fifth EU Framework Programme," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(2), pages 247-266, April.
    45. Grupp, Hariolf, 2000. "Learning in a Science-Driven Market: The Case of Lasers," Industrial and Corporate Change, Oxford University Press, vol. 9(1), pages 143-172, March.
    46. Muhamed Kudic, 2015. "Innovation Networks in the German Laser Industry," Economic Complexity and Evolution, Springer, edition 127, number 978-3-319-07935-6, January.
    47. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
    48. Elisa Giuliani, 2010. "Network dynamics in regional clusters: The perspective of an emerging economy," Papers in Evolutionary Economic Geography (PEEG) 1014, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2010.
    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. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.

    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. Kudic, Muhamed & Pyka, Andreas & Günther, Jutta, 2012. "Determinants of Evolutionary Change Processes in Innovation Networks – Empirical Evidence from the German Laser Industry," IWH Discussion Papers 7/2012, Halle Institute for Economic Research (IWH).
    2. Kudic, Muhamed & Pyka, Andreas & Sunder, Marco, 2013. "Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers," IWH Discussion Papers 9/2013, Halle Institute for Economic Research (IWH).
    3. Muhamed Kudic & Wilfried Ehrenfeld & Toralf Pusch, 2015. "On the trail of core–periphery patterns in innovation networks: measurements and new empirical findings from the German laser industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 187-220, October.
    4. Kudic, Muhamed & Ehrenfeld, Wilfried & Pusch, Toralf, 2015. "Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry," IWH Discussion Papers 1/2015, Halle Institute for Economic Research (IWH).
    5. Kudic, Muhamed & Bönisch, Peter & Dominguez Lacasa, Iciar, 2010. "Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space," IWH Discussion Papers 22/2010, Halle Institute for Economic Research (IWH).
    6. Kudic, Muhamed & Guhr, Katja, 2013. "Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry," IWH Discussion Papers 6/2013, Halle Institute for Economic Research (IWH).
    7. Ron Boschma & Pierre-Alexandre Balland & Mathijs de Vaan, 2014. "The formation of economic networks: a proximity approach," Chapters, in: André Torre & Frédéric Wallet (ed.), Regional Development and Proximity Relations, chapter 7, pages 243-266, Edward Elgar Publishing.
    8. Müller, Matthias & Kudic, Muhamed & Vermeulen, Ben, 2021. "The influence of the structure of technological knowledge on inter-firm R&D collaboration and knowledge discovery: An agent-based simulation approach," Journal of Business Research, Elsevier, vol. 129(C), pages 570-579.
    9. Ron Boschma & Ron Martin, 2010. "The Aims and Scope of Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 1, Edward Elgar Publishing.
    10. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    11. Joan Crespo & Raphaël Suire & Jérôme Vicente, 2016. "Network structural properties for cluster long-run dynamics: evidence from collaborative R&D networks in the European mobile phone industry," Industrial and Corporate Change, Oxford University Press, vol. 25(2), pages 261-282.
    12. Broekel, Tom & Fornahl, Dirk & Morrison, Andrea, 2015. "Another cluster premium: Innovation subsidies and R&D collaboration networks," Research Policy, Elsevier, vol. 44(8), pages 1431-1444.
    13. Robert Huggins & Piers Thompson, 2015. "Entrepreneurship, innovation and regional growth: a network theory," Small Business Economics, Springer, vol. 45(1), pages 103-128, June.
    14. Maria Tsouri & Teis Hansen & Jens Hanson & Markus Steen, 2020. "Knowledge recombination for emerging technological innovations: the case of green shipping," Papers in Evolutionary Economic Geography (PEEG) 2045, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2020.
    15. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    16. Tom Broekel & Wladimir Mueller, 2018. "Critical links in knowledge networks – What about proximities and gatekeeper organisations?," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 919-939, November.
    17. Stefano Usai & Emanuela Marrocu & Raffaele Paci, 2017. "Networks, Proximities, and Interfirm Knowledge Exchanges," International Regional Science Review, , vol. 40(4), pages 377-404, July.
    18. Hundt, Christian & Holtermann, Linus & Steeger, Jonas & Bersch, Johannes, 2019. "Cluster externalities, firm capabilities, and the recessionary shock: How the macro-to-micro-transition shapes firm performance during stable times and times of crisis," MPRA Paper 92016, University Library of Munich, Germany.
    19. Cristiano Antonelli, 2011. "The Economic Complexity of Technological Change: Knowledge Interaction and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 1, Edward Elgar Publishing.
    20. Markus Grillitsch & Magnus Nilsson, 2019. "Knowledge externalities and firm heterogeneity: Effects on high and low growth firms," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 93-114, February.

    More about this item

    Keywords

    network evolution; innovation network; automotive industry; SIENA;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

    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:zbw:iwhdps:iwh-1-14. 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: . General contact details of provider: https://edirc.repec.org/data/iwhhhde.html .

    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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwhhhde.html .

    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.