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Networks, Knowledge Spillovers And Technological Progress Of Firms: Simulations In An Evolutionary Framework

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  • CHRISTIAN HENNING

    (Department of Agricultural Economics, Christian-Albrechts-University at Kiel, Wilhelm-Seelig-Platz 6/7, 24118 Kiel, Germany)

  • VOLKER SAGGAU

    (Department of Agricultural Economics, Christian-Albrechts-University at Kiel, Wilhelm-Seelig-Platz 6/7, 24118 Kiel, Germany)

Abstract

Following modern innovation theory, this paper analyses in an evolutionary framework the impact of information network structures on firms' absorptive capacities and induced realization of technological progress (t.p.) in a finite set of firms. Main results of simulation analyses are: (i) At the macro-level average speed of firms' realized t.p. depends on global network structures, i.e. a high local size and centralization, but a low clustering of a networks. (ii) Networks are only important if firms' direct R&D activities are moderately successful. (iii) A free-rider problem arises, i.e. collectively, firms have high incentives to form interfirm network ties, but not individually.

Suggested Citation

  • Christian Henning & Volker Saggau, 2013. "Networks, Knowledge Spillovers And Technological Progress Of Firms: Simulations In An Evolutionary Framework," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 10(05), pages 1-32.
    • Handle: RePEc:wsi:ijitmx:v:10:y:2013:i:05:n:s021987701340018x
    DOI: 10.1142/S021987701340018X
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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. Raffaele Paci & Stefano Usai, 2000. "Technological Enclaves and Industrial Districts: An Analysis of the Regional Distribution of Innovative Activity in Europe," Regional Studies, Taylor & Francis Journals, vol. 34(2), pages 97-114.
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    Cited by:

    1. Houxing Tang & Zhenzhong Ma & Jiuling Xiao & Lei Xiao, 2020. "Toward a more Efficient Knowledge Network in Innovation Ecosystems: A Simulated Study on Knowledge Management," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    2. Houxing Tang & Zhenzhong Ma & Lei Jing, 2024. "Interfirm Network Structure and Innovation Creation: a Simulation Study," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7622-7646, June.
    3. Nana Zubek & Christian H.C.A. Henning, 2016. "Local Government, Spatial Spillovers and the Absorption of EU Structural Funds," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 368-397, June.
    4. Stefano Poponi & Alessio Maria Braccini & Alessandro Ruggieri, 2017. "Key Success Factors Positively Affecting Organizational Performance of Academic Spin-Offs," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 1-18, October.

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