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Determinants and Policy Simulation of Firms Cooperation in Innovation

Author

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  • Heshmati, Almas

    (Jönköping University)

  • Lenz-Cesar, Flávio

    (Brazil Ministry of Communications)

Abstract

This research introduces an agent-based simulation model representing the dynamic processes of cooperative R&D in the manufacturing sector of South Korea. Firms' behavior is defined according to empirical findings on the Korean Innovation Survey 2005 and captured in a multivariate probit regression model. The econometrics model identifies the determinants on firms' likelihood to participate in cooperation with other organizations when conducting innovation activities. These determinants are translated into simulation parameters which are calibrated to the point that the simulated artificial world are equivalent to the one observed in the real world. The aim of the simulation game is to investigate the differences in sector responses to internal and external changes, including cross-sector spillovers, when applying three different policy strategies to promote cooperation in innovation. The findings indicate possible appropriate (or non-appropriate) policy strategies to be applied depending on the target industries.

Suggested Citation

  • Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7487
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    References listed on IDEAS

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    1. Andreas Pyka & Paolo Saviotti, 2001. "Innovation Networks in the Biotechnology-Based Sectors," Discussion Paper Series 205, Universitaet Augsburg, Institute for Economics.
    2. David J. Teece, 2003. "Competition, Cooperation, and Innovation Organizational Arrangements for Regimes of Rapid Technological Progress," World Scientific Book Chapters, in: Essays In Technology Management And Policy Selected Papers of David J Teece, chapter 16, pages 447-474, World Scientific Publishing Co. Pte. Ltd..
    3. Abdelillah HAMDOUCH, 2008. "Conceptualizing innovation clusters and networks," Working Papers 3, Réseau de Recherche sur l’Innovation. / Research Network on Innovation.
    4. Bernhard Dachs & Bernd Ebersberger & Andreas Pyka, 2004. "Why do Firms Co-operate for Innovation? - A comparison of Austrian and Finnish CIS 3 results," Discussion Paper Series 255, Universitaet Augsburg, Institute for Economics.
    5. Llerena, Patrick & Oltra, Vanessa, 2002. "Diversity of innovative strategy as a source of technological performance," Structural Change and Economic Dynamics, Elsevier, vol. 13(2), pages 179-201, June.
    6. Junfu Zhang, 2005. "Growing Silicon Valley on a landscape: an agent-based approach to high-tech industrial clusters," Springer Books, in: Uwe Cantner & Elias Dinopoulos & Robert F. Lanzillotti (ed.), Entrepreneurships, the New Economy and Public Policy, pages 71-90, Springer.
    7. Günter Haag & Philipp Liedl, 2001. "Modelling and Simulating Innovation Behaviour Within Micro-Based Correlated Decision Processes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-3.
    8. Sakakibara, Mariko, 2001. "Cooperative research and development: who participates and in which industries do projects take place?," Research Policy, Elsevier, vol. 30(7), pages 993-1018, August.
    9. Tesfatsion, Leigh, 2001. "Introduction to the special issue on agent-based computational economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 281-293, March.
    10. Cantner, Uwe & Pyka, Andreas, 1998. "Absorbing Technological Spillovers: Simulations in an Evolutionary Framework," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(2), pages 369-397, June.
    11. Bruno Cassiman & Reinhilde Veugelers, 2002. "R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium," American Economic Review, American Economic Association, vol. 92(4), pages 1169-1184, September.
    12. Alan Kirman, 2004. "Economics And Complexity," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 2, pages 3-21, World Scientific Publishing Co. Pte. Ltd..
    13. Jon Sigurdson, 1998. "Industry and State Partnership: The Historical Role of Theengineering Research Associations in Japan," Industry and Innovation, Taylor & Francis Journals, vol. 5(2), pages 209-241.
    14. Peter Midmore & Max Munday & Annette Roberts, 2006. "Assessing industry linkages using regional input-output tables," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 329-343.
    15. Belderbos, Rene & Carree, Martin & Diederen, Bert & Lokshin, Boris & Veugelers, Reinhilde, 2004. "Heterogeneity in R&D cooperation strategies," International Journal of Industrial Organization, Elsevier, vol. 22(8-9), pages 1237-1263, November.
    16. Scott Shane, 2000. "Prior Knowledge and the Discovery of Entrepreneurial Opportunities," Organization Science, INFORMS, vol. 11(4), pages 448-469, August.
    17. Flávio Lenz-Cesar & Almas Heshmati, 2012. "An econometric approach to identify determinants of cooperation for innovation among firms," Applied Economics Letters, Taylor & Francis Journals, vol. 19(3), pages 227-235, February.
    18. Cooke, Philip, 2002. "Regional Innovation Systems: General Findings and Some New Evidence from Biotechnology Clusters," The Journal of Technology Transfer, Springer, vol. 27(1), pages 133-145, January.
    19. Ulrich Witt, 2002. "How Evolutionary Is Schumpeter'S Theory Of Economic Development?," Industry and Innovation, Taylor & Francis Journals, vol. 9(1-2), pages 7-22.
    20. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.
    21. Geoffrey M. Hodgson, 1997. "The evolutionary and non-Darwinian economics of Joseph Schumpeter," Journal of Evolutionary Economics, Springer, vol. 7(2), pages 131-145.
    22. N. Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, , vol. 2(2), pages 91-105, June.
    23. 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.
    24. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2006. "Innovation in industrial districts: An agent-based simulation model," International Journal of Production Economics, Elsevier, vol. 104(1), pages 30-45, November.
    25. Miotti, Luis & Sachwald, Frederique, 2003. "Co-operative R&D: why and with whom?: An integrated framework of analysis," Research Policy, Elsevier, vol. 32(8), pages 1481-1499, September.
    26. Bayona, Cristina & Garcia-Marco, Teresa & Huerta, Emilio, 2001. "Firms' motivations for cooperative R&D: an empirical analysis of Spanish firms," Research Policy, Elsevier, vol. 30(8), pages 1289-1307, October.
    27. A. Pyka & G. Fagiolo, 2007. "Agent-based Modelling: A Methodology for Neo-Schumpetarian Economics," Chapters, in: Horst Hanusch & Andreas Pyka (ed.), Elgar Companion to Neo-Schumpeterian Economics, chapter 29, Edward Elgar Publishing.
    28. Michael S. Dahl & Christian Ø.R. Pedersen & Bent Dalum, 2003. "Entry by Spinoff in a High-tech Cluster," DRUID Working Papers 03-11, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    29. Ben Cooper, 2000. "orignal paper: Modelling research and development: How do firms solve design problems?," Journal of Evolutionary Economics, Springer, vol. 10(4), pages 395-413.
    30. Richard R. Nelson, 1995. "Recent Evolutionary Theorizing about Economic Change," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 48-90, March.
    31. Erol Taymaz & G, rard Ballot, 1997. "The dynamics of firms in a micro-to-macro model: The role of training, learning and innovation," Journal of Evolutionary Economics, Springer, vol. 7(4), pages 435-457.
    32. Matteo Richiardi, 2007. "Agent-based Computational Economics. A Short Introduction," LABORatorio R. Revelli Working Papers Series 69, LABORatorio R. Revelli, Centre for Employment Studies.
    33. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    34. Mario Miranda, 2005. "Teaching Computational Economics in an Applied Economics Program," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 229-254, June.
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    More about this item

    Keywords

    innovation networks; collaborative R&D; agent-based simulation; simulation game; policy strategy;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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