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Regional Specialization and Knowledge Output: An Agent-Based Simulation of the Vienna Life Sciences

In: Innovation Networks for Regional Development

Author

Listed:
  • Martina Dünser

    (AIT Austrian Institute of Technology GmbH)

  • Manuela Korber

    (AIT Austrian Institute of Technology GmbH)

Abstract

This study aims at identifying the effects of agents’ specialization in research fields on their research performance by means of an agent-based model of the Vienna life sciences, which builds upon the SKIN model. Specialization of agents, e.g. research organizations, firms or universities, is found to play a crucial role in the innovative performance of an industry or a research area. Also in the policy arena, specialization of regions and sectors attained renascent importance through the concept of smart specialization. In order to contribute to the crucial discussion whether specialization or rather diversification is more likely to promote innovative activities, we run simulation scenarios with varying degrees of specialization. Findings provide evidence for both aspects; whereas a higher degree of specialization is found to be favourable for the creation of patent applications and high-tech jobs, diversification is found to be favourable for the creation of scientific publications.

Suggested Citation

  • Martina Dünser & Manuela Korber, 2017. "Regional Specialization and Knowledge Output: An Agent-Based Simulation of the Vienna Life Sciences," Economic Complexity and Evolution, in: Ben Vermeulen & Manfred Paier (ed.), Innovation Networks for Regional Development, pages 237-253, Springer.
    • Handle: RePEc:spr:eccchp:978-3-319-43940-2_10
    DOI: 10.1007/978-3-319-43940-2_10
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