Koen Frenken – författare

The motivation behind this book is the desire to integrate complexity theory into economic models of technological evolution. By means of developing an evolutionary model of complex technological systems, the book contributes to the neo-Schumpetarian literature on innovation, diffusion and technological paradigms.Recent advances in complexity theory provide a new understanding of technological innovation and complex problem-solving. This book offers an approach based on Stuart Kauffman's NK-model of complex systems to better understand and analyse search strategies that firms apply to develop new technologies. The models deal with a range of topics including bounded rationality, myopia, decomposability, modularity and the emergence of technological paradigms. Empirical applications include the evolution of early 18th century steam engine technology, 20th century aircraft and helicopter designs and recent innovations in personal computers. Innovation, Evolution and Complexity Theory makes excellent use of complexity theory and large datasets on technologies with which to complement the analysis.The book will be of great interest to evolutionary and innovation economists and academics as well as scholars in the interdisciplinary field of complexity theory and industrial organisation.

Applied Evolutionary Economics and Economic Geography aims to further advance empirical methodologies in evolutionary economics, with a special emphasis on geography and firm location. It does so by bringing together a select group of leading scholars including economists, geographers and sociologists, all of whom share an interest in explaining the uneven distribution of economic activities in space and the historical processes that have produced these patterns. Methodological advances in three domains are examined in detail:demographic techniques, which allow for systematic analysis of the spatial evolution of industriessocial network analysis providing new tools to analyse the geography of networks at different spatial levelsspatial econometric techniques, which are used to understand the growth dynamics of cities and regions. The book also contains two case studies on the evolution of high-tech regions and a policy chapter on evolutionary planning of transportation networks.This book will be warmly welcomed by evolutionary economists, industrial organisation scholars and researchers interested in policy science, the economics of innovation and economic geography.

Applied Evolutionary Economics and Economic Geography aims to further advance empirical methodologies in evolutionary economics, with a special emphasis on geography and firm location. It does so by bringing together a select group of leading scholars including economists, geographers and sociologists, all of whom share an interest in explaining the uneven distribution of economic activities in space and the historical processes that have produced these patterns.

Methodological advances in three domains are examined in detail:

demographic techniques, which allow for systematic analysis of the spatial evolution of industriessocial network analysis providing new tools to analyse the geography of networks at different spatial levelsspatial econometric techniques, which are used to understand the growth dynamics of cities and regions.

The book also contains two case studies on the evolution of high-tech regions and a policy chapter on evolutionary planning of transportation networks.

This book will be warmly welcomed by evolutionary economists, industrial organisation scholars and researchers interested in policy science, the economics of innovation and economic geography.