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Applied Evolutionary Economics And the Knowledge-based Economy

โœ Scribed by Andreas Pyka, Horst Hanusch


Publisher
Edward Elgar Publishing
Year
2006
Tongue
English
Leaves
289
Category
Library

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โœฆ Synopsis


This book focuses on knowledge-based economies and attempts to analyze dynamic innovation driven processes within those economies.

It shows that evolutionary economics, and in particular the strand of applied industry and innovation studies often called Neo-Schumpeterian economics, has left the nursery of new academic approaches and is able to offer important insights for the understanding of socio-economic processes of change and development having a strong impact on economic reality all over the world. The contributions are summarized under four major sections โ€“ knowledge and cognition, studies of knowledge-based industries, the geographical dimension of knowledge-based economies and measuring and modelling for knowledge-based economies โ€“ and give a broad overview of the prolific research being undertaken in applied evolutionary economics.

โœฆ Table of Contents


Contents......Page 6
Contributors......Page 8
Preface......Page 10
PART I Knowledge and Cognition......Page 22
1. Introduction......Page 12
2. Conjectures, constructs and conflicts: a framework for understanding imagineering......Page 24
3. Learning from disaster......Page 51
PART II Studies of Knowledge-based Industries......Page 84
4. The value of knowledge integration in biotechnology......Page 86
5. The anchor tenant hypothesis revisited: computer software clusters in North America......Page 100
6. Industry dynamics in the German insurance market......Page 111
PART III The Geographical Dimension of Knowledgebased Economies......Page 152
7. A process model of locational change in entrepreneurial firms: an evolutionary perspective......Page 154
8. The diffusion of the steam engine in eighteenth-century Britain......Page 177
9. Knowledge diffusion with complex cognition......Page 212
PART IV Measuring and Modelling for Knowledgebased Economies......Page 240
10. A non-parametric method to identify nonlinearities in global productivity catch-up performance......Page 242
11. Self-reinforcing dynamics and the evolution of business firms......Page 265
Index......Page 280


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