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

  • Martina DünserEmail author
  • Manuela Korber
Chapter
  • 812 Downloads
Part of the Economic Complexity and Evolution book series (ECAE)

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.

Keywords

Research Field Patent Application Core Competency Innovative Activity Expertise Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Innovation Systems DepartmentAIT Austrian Institute of Technology GmbHViennaAustria

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