Skip to main content

Innovation Networks for Regional Development

Concepts, Case Studies, and Agent-Based Models

  • Book
  • © 2017

Overview

  • 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: sn.pub/extras

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 129.00
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.

Similar content being viewed by others

Keywords

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

Bibliographic Information

Publish with us