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Systemic interventions in regional innovation systems: entrepreneurship, knowledge accumulation and regional innovation

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  • Andreas Pyka
  • Muhamed Kudic
  • Matthias Mueller

Abstract

The paper employs a regional innovation system concept and divides system failures into three categories: institutional infrastructure, organizational landscape and structural connectedness. To analyze the economic effects of systemic interventions, it employs the VISIBLE model, which allows ex-ante policy experiments to be conducted in a virtual simulation environment. First, the findings show that regional learning and knowledge exchange are accompanied by pronounced non-linearities and combined learning strategies generate highest regional returns. Second, systemic interventions, originally designed to stimulate qualitatively different types of entrepreneurial entries, show – against the backdrop of different regional learning regimes – rather ambiguous effects for both the target firms and the incumbent firms. Finally, it can be seen that interventions designed to affect individual linking behaviour of entrepreneurial firms are effective and robust even for different learning regimes.

Suggested Citation

  • Andreas Pyka & Muhamed Kudic & Matthias Mueller, 2019. "Systemic interventions in regional innovation systems: entrepreneurship, knowledge accumulation and regional innovation," Regional Studies, Taylor & Francis Journals, vol. 53(9), pages 1321-1332, September.
    • Handle: RePEc:taf:regstd:v:53:y:2019:i:9:p:1321-1332
    DOI: 10.1080/00343404.2019.1566702
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    Citations

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    Cited by:

    1. Paredes-Frigolett, Harold & Pyka, Andreas & Leoneti, Alexandre Bevilacqua, 2021. "On the performance and strategy of innovation systems: A multicriteria group decision analysis approach," Technology in Society, Elsevier, vol. 67(C).
    2. Michael Fritsch & Muhamed Kudic, 2022. "Micro dynamics and macro stability in inventor networks," The Journal of Technology Transfer, Springer, vol. 47(2), pages 353-382, April.
    3. Tang, Chenghui & Guan, Mingming & Dou, Jianmin, 2021. "Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities," Technology in Society, Elsevier, vol. 67(C).
    4. Aistleitner, Matthias & Gräbner, Claudius & Hornykewycz, Anna, 2021. "Theory and empirics of capability accumulation: Implications for macroeconomic modeling," Research Policy, Elsevier, vol. 50(6).
    5. Jessica Birkholz, 2022. "Transforming Regional Knowledge Bases: A Network and Machine Learning Approach to Link Entrepreneurial Experimentation and Regional Absorptive Capacity," Bremen Papers on Economics & Innovation 2205, University of Bremen, Faculty of Business Studies and Economics.
    6. 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.
    7. Claudius Gräbner & Anna Hornykewycz, 2022. "Capability accumulation and product innovation: an agent-based perspective," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 87-121, January.
    8. Carmen Păunescu & Elisabeta Molnar, 2020. "Country’s Entrepreneurial Environment Predictors for Starting a New Venture—Evidence for Romania," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    9. Muhamed Kudic & Matthias Müller & Tobias Buchmann & Andreas Pyka & Jutta Günther, 2021. "Network dynamics, economic transition, and policy design—an introduction," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 1-8, April.

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