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Innovation Networks for Regional Development

Concepts, Case Studies, and Agent-Based Models

  • Book
  • © 2017


  • Takes multi-disciplinary perspective on regional development and the role of networks therein
  • Includes methodological advances in agent-based modelling in economics research and policy experimentation
  • Features both fundamental as well as industry-specific, 'narrative' agent-based simulation models
  • Contains detailed case studies for automotive, aerospace, life science, biotechnology, and public health sectors
  • Includes supplementary material:

Part of the book series: Economic Complexity and Evolution (ECAE)

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About this book

This book brings together original research on the role of networks in regional economic development and innovation. It presents a comprehensive framework synthesizing extant theories, a palette of real-world cases in the aerospace, automotive, life science, biotechnology and health care industries, and fundamental agent-based computer models elucidating the relation between regional development and network dynamics.

The book is primarily intended for researchers in the fields of innovation economics and evolutionary economic geography, and particularly those interested in using agent-based models and empirical case studies. However, it also targets (regional) innovation policy makers who are not only interested in policy recommendations, but also want to understand the state-of-the-art agent-based modeling methods used to experimentally arrive at said recommendations.

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Table of contents (13 chapters)

  1. Methodological Advances and Agent-Based Models

Editors and Affiliations

  • Institute of Economics, University of Hohenheim, Stuttgart, Germany

    Ben Vermeulen

  • Innovation Systems Department, AIT Austrian Institute of Technology GmbH, Vienna, Austria

    Manfred Paier

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