Innovation Networks for Regional Development
Concepts, Case Studies, and Agent-Based Models
Business & Finance, Economics, Urban & Regional
| Author: | ISBN: | 9783319439402 | |
| Publisher: | Springer International Publishing | Publication: | September 29, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319439402 |
| Publisher: | Springer International Publishing |
| Publication: | September 29, 2016 |
| Imprint: | Springer |
| Language: | English |
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.
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.
