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Innovation Networks for Regional Development

Concepts, Case Studies, and Agent-Based Models

  • Ben Vermeulen
  • Manfred Paier

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

Table of contents

  1. Front Matter
    Pages i-vi
  2. Conceptual Approaches and Case Studies

  3. Methodological Advances and Agent-Based Models

About this book

Introduction

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.

Keywords

Innovation networks Regional development Agent-based model Industry evolution Spatial economics

Editors and affiliations

  • Ben Vermeulen
    • 1
  • Manfred Paier
    • 2
  1. 1.Institute of EconomicsUniversity of HohenheimStuttgartGermany
  2. 2.Innovation Systems DepartmentAIT Austrian Institute of Technology GmbHViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-43940-2
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-319-43939-6
  • Online ISBN 978-3-319-43940-2
  • Series Print ISSN 2199-3173
  • Series Online ISSN 2199-3181
  • Buy this book on publisher's site