This book presents a broad overview of the multifaceted phenomena of innovation networks, which have assumed increasing importance with the emergence of the so-called 'knowledge economy'. The topic of innovation networks is analysed through different lenses, bringing together the theory of self-organisation, complexity theory and recent developments in the economic and sociological literature on innovation. The aim of the book is the integration of these different perspectives in order to develop a common theory of innovation networks. In this respect, a general model of innovation networks is applied to different industrial sectors such as the biotechnology industry, the telecommunications industry, and knowledge-intensive business systems which form the backbone of the internet economy. By combining empirical case studies with theoretical work on the emergence of innovation networks, the authors are able to identify the mechanisms and circumstances which can contribute to their successful development and evaluation. Innovation Networks is the result of a two year collaboration between academics from a range of different disciplines including theoretical physics, political science, computer science, sociology and economics. As such, it will appeal to students, scholars and researchers in all of these fields as well as business and R&D managers, and policymakers and politicians involved in the promotion of technology policy.

While dating from post-Classical economists such as Thorstein Veblen and Joseph Schumpeter, the inception of the modern field of evolutionary economics is usually dated to the early 1980s. Broadly speaking, evolutionary economics sees the economy as undergoing continual, evolutionary change. Evolutionary change indicates that these changes were not planned, but rather were the result of selection processes. These often involved winners and losers, but most importantly, they resulted in actors learning what was and wasn't working and moving to the latter. Evolutionary economics, in contrast to mainstream economics, emphasises the relevance of variables such as technology, institutions, decision rules, routines, or consumer preferences for explaining the complex evolutionary changes in the economy. In so doing, evolutionary economics significantly broadens the scope of economic analysis, and sheds new light on key concepts and issues of the discipline. This handbook draws on a stellar cast-list of international contributors, ranging from the founders of the field to the newest voices. The volume explores the current state-of-the-art of the field of evolutionary economics at the levels of the micro (e.g. firms and households), meso (e.g. industries and institutions), and macro (e.g. economic policy, structure and growth). Overall, the Routledge Handbook of Evolutionary Economics provides an excellent overview of current trends and issues in this rapidly developing field.

Innovation and finance are in a symbiotic and twin-track relationship: a well-functioning financial system spurs innovation by identifying and funding stimulating entrepreneurial activities which trigger economic growth. Innovations also open up profitable opportunities for the financial system. These mutual dynamics cause and need innovative adaptations in the financial system in order to better deal with the changing requirements of a knowledge-based economy. The volume comprises different contributions which focus on the central imperative of this evident connection between financial markets and innovation which, despite its importance, is only barely considered in academia, as well in practice so far. The book is about the mutual interdependence of innovation processes and finance. This interdependent relationship is characterized by a high degree of complexity which stems, on the one hand, from the truly uncertain character of innovation and, on the other hand, from the different time scales in both domains. Whereas innovation processes are long-term and experimental, financial markets are interested in shortening time horizons in order to optimize financial investments. Economies which do not manage to align the two realms of their economic system are in danger of ending up in either financial bubbles or economic stagnation. The chapters of this book deal with different aspects of this complex interrelationship between innovation and finance, highlighting, for example the role of stock markets, venture capital and international financial transactions, as well as the historical co-development of the financial and industrial domains. Thus far, the communities in economics dealing with both issues are almost completely disconnected. The book brings together economic research dealing with the interface between innovation and finance and highlights the importance of the Neo-Schumpeterian perspective. This topic is of particular interest in the current economic crisis affecting the Eurozone and its currency. Most of the policy instruments discussed and implemented so far are focused on short-run targets. This discussion of the relationship between innovation and finance suggests a long-run perspective to create new potentials for economic growth and a sustainable way out of the economic crisis.

Migration is conceived differently in Europe compared with countries like the US, Canada or Australia. International Innovation Networks and Knowledge Migration confronts traditional views on migration with modern theories of brain circulation and innovation networks, showing that migration leads to mutual benefits for both the home and host countries This new volume brings together several case studies and empirical in-depth analyses which are constructed from the strong migration relationship between Turkey and Germany that has existed for more than 50 years. Bringing together over 20 international contributors, this book highlights that knowledge migration and cultural diversity can strongly stimulate entrepreneurial activities, competence acquisition and economic development of countries and regions. The authors highlight the considerable scope for improvement of European migration policies in order to be better prepared to successfully process structural changes stemming from an aging society in Europe, and an increasing international division of labour. This volume is suitable for those who study industrial economics, international economics and European economics. It is also of interest to those who want to delve deeper into the Turkish-German migration nexus.

Innovation and finance are in a symbiotic and twin-track relationship: a well-functioning financial system spurs innovation by identifying and funding stimulating entrepreneurial activities which trigger economic growth. Innovations also open up profitable opportunities for the financial system. These mutual dynamics cause and need innovative adaptations in the financial system in order to better deal with the changing requirements of a knowledge-based economy. The volume comprises different contributions which focus on the central imperative of this evident connection between financial markets and innovation which, despite its importance, is only barely considered in academia, as well in practice so far. The book is about the mutual interdependence of innovation processes and finance. This interdependent relationship is characterized by a high degree of complexity which stems, on the one hand, from the truly uncertain character of innovation and, on the other hand, from the different time scales in both domains. Whereas innovation processes are long-term and experimental, financial markets are interested in shortening time horizons in order to optimize financial investments. Economies which do not manage to align the two realms of their economic system are in danger of ending up in either financial bubbles or economic stagnation. The chapters of this book deal with different aspects of this complex interrelationship between innovation and finance, highlighting, for example the role of stock markets, venture capital and international financial transactions, as well as the historical co-development of the financial and industrial domains. Thus far, the communities in economics dealing with both issues are almost completely disconnected. The book brings together economic research dealing with the interface between innovation and finance and highlights the importance of the Neo-Schumpeterian perspective. This topic is of particular interest in the current economic crisis affecting the Eurozone and its currency. Most of the policy instruments discussed and implemented so far are focused on short-run targets. This discussion of the relationship between innovation and finance suggests a long-run perspective to create new potentials for economic growth and a sustainable way out of the economic crisis.

Evolutionary economics sees the economy as always in motion with change being driven largely by continuing innovation. This approach to economics, heavily influenced by the work of Joseph Schumpeter, saw a revival as an alternative way of thinking about economic advancement as a result of Richard Nelson and Sidney Winter's seminal book, An Evolutionary Theory of Economic Change, first published in 1982. In this long-awaited follow-up, Nelson is joined by leading figures in the field of evolutionary economics, reviewing in detail how this perspective has been manifest in various areas of economic inquiry where evolutionary economists have been active. Providing the perfect overview for interested economists and social scientists, readers will learn how in each of the diverse fields featured, evolutionary economics has enabled an improved understanding of how and why economic progress occurs.

This judicious selection of recent essays demonstrates the applicability of the fundamental principles of neo-Schumpeterian economics, namely, innovation and uncertainty. The authors demonstrate how neo-Schumpeterian economics is developing into a comprehensive economic theory encompassing industry, the public sector and financial markets. Neo-Schumpeterian economics has become a prolific field with a major orientation towards innovation-driven industrial dynamics. However, a truly comprehensive neo-Schumpeterian approach argues that innovation is also an important element in both the public and financial sectors. For example, a lack of public infrastructure or speculative bubbles in financial markets can hinder or even prevent economic development. The expert contributions to this book deal with the future orientation of the subject in terms of innovative performance in the industrial, financial and public sectors. Recent Advances in Neo-Schumpeterian Economics can be considered a first attempt to substantiate the comprehensive neo-Schumpeterian approach, of which Horst Hanusch has been a leading proponent. This unique and path-breaking book will be of great interest and value to researchers in the fields of innovation, industrial economics, financial markets and the public sector.

The Elgar Companion to Neo-Schumpeterian Economics is a cutting-edge collection of specially commissioned contributions highlighting not only the broad scope but also the common ground between all branches of this prolific and fast developing field of economics.For 25 years economists have been investigating industrial dynamics under the heading of neo-Schumpeterian economics, which has itself become a mature and widely acknowledged discipline in the fields of innovation, knowledge, growth and development economics. The Elgar Companion to Neo-Schumpeterian Economics surveys the achievements of the most visible scholars in this area. The contributions to the Companion give both a brief survey on the various fields of neo-Schumpeterian economics as well as insights into recent research at the scientific frontiers. The book also illustrates the potential of neo-Schumpeterian economics to overcome its so far self-imposed restriction to the domains of technology driven industry dynamics, and to become a comprehensive approach in economics suited for the analysis of development processes in all economic domains. Integrating both the public sector and financial markets, the book focusses on the co-evolutionary processes between the different domains. As a roadmap for the development of a comprehensive neo-Schumpeterian theory, the Companion will be an invaluable source of reference for researchers in the fields of industrial dynamics and economic growth, and academics and scholars of economics generally. PhD students will find the Companion an indispensable general introduction to the field of neo-Schumpeterian economics. It will also appeal to politicians and consultants engaged in national and international policy as the Companion deals with the highly important and ever topical phenomena of economic development.

Migration is conceived differently in Europe compared with countries like the US, Canada or Australia. International Innovation Networks and Knowledge Migration confronts traditional views on migration with modern theories of brain circulation and innovation networks, showing that migration leads to mutual benefits for both the home and host countries This new volume brings together several case studies and empirical in-depth analyses which are constructed from the strong migration relationship between Turkey and Germany that has existed for more than 50 years. Bringing together over 20 international contributors, this book highlights that knowledge migration and cultural diversity can strongly stimulate entrepreneurial activities, competence acquisition and economic development of countries and regions. The authors highlight the considerable scope for improvement of European migration policies in order to be better prepared to successfully process structural changes stemming from an aging society in Europe, and an increasing international division of labour. This volume is suitable for those who study industrial economics, international economics and European economics. It is also of interest to those who want to delve deeper into the Turkish-German migration nexus.

Evolutionary economics sees the economy as always in motion with change being driven largely by continuing innovation. This approach to economics, heavily influenced by the work of Joseph Schumpeter, saw a revival as an alternative way of thinking about economic advancement as a result of Richard Nelson and Sidney Winter's seminal book, An Evolutionary Theory of Economic Change, first published in 1982. In this long-awaited follow-up, Nelson is joined by leading figures in the field of evolutionary economics, reviewing in detail how this perspective has been manifest in various areas of economic inquiry where evolutionary economists have been active. Providing the perfect overview for interested economists and social scientists, readers will learn how in each of the diverse fields featured, evolutionary economics has enabled an improved understanding of how and why economic progress occurs.

The Elgar Companion to Neo-Schumpeterian Economics is a cutting-edge collection of specially commissioned contributions highlighting not only the broad scope but also the common ground between all branches of this prolific and fast developing field of economics.For 25 years economists have been investigating industrial dynamics under the heading of neo-Schumpeterian economics, which has itself become a mature and widely acknowledged discipline in the fields of innovation, knowledge, growth and development economics. The Elgar Companion to Neo-Schumpeterian Economics surveys the achievements of the most visible scholars in this area. The contributions to the Companion give both a brief survey on the various fields of neo-Schumpeterian economics as well as insights into recent research at the scientific frontiers. The book also illustrates the potential of neo-Schumpeterian economics to overcome its so far self-imposed restriction to the domains of technology driven industry dynamics, and to become a comprehensive approach in economics suited for the analysis of development processes in all economic domains. Integrating both the public sector and financial markets, the book focusses on the co-evolutionary processes between the different domains. As a roadmap for the development of a comprehensive neo-Schumpeterian theory, the Companion will be an invaluable source of reference for researchers in the fields of industrial dynamics and economic growth, and academics and scholars of economics generally. PhD students will find the Companion an indispensable general introduction to the field of neo-Schumpeterian economics. It will also appeal to politicians and consultants engaged in national and international policy as the Companion deals with the highly important and ever topical phenomena of economic development.

This volume presents selected contributions from the 2018 conference of the International Schumpeter Society (ISS). The selected chapters in this volume reflect the state-of-the-art of Schumpeterian economics dedicated to the three conference topics innovation, catch-up, and sustainability. Innovation is driving catch-up processes and is the condition for a transformation towards higher degrees of sustainability. Therefore, Schumpeterian economics has to play a key role in these most challenging fields of human societies' development in the 21st century. The three topics are well suited to capture the great variety of issues, which have the potential to shape the scientific discussion in economics and related disciplines in the years to come. The presented contributions show the broadness and high standard of Schumpeterian analysis. The ideas of dynamics, heterogeneity, novelty, and innovation as well as transformation are the most attractive fields in economics today and offer the most prolific interdisciplinary connections now and for the years to come when humankind, our global society, has to master the transition towards sustainable economic systems by solving the grand challenges and wicked problems with which we are confronted today. Therefore, the book is a must-read for scholars, researchers, and students, interested in a better understanding of innovation, catch-up, and sustainability, and Schumpeterian economics in general.The chapter "Industrial life cycle: relevance of national markets in the development of new industries for energy technologies - the case of wind energy" is available open access under a CC BY 4.0 License via link.springer.com.

This book is at the cutting edge of the ongoing research in bioeconomy and encompasses both technological and economic strategies to master the transformation towards a knowledge- and bio-based production system. The volume combines different international perspectives with approaches of the various fields of research. Bioeconomy is one of the future concepts of an economy which, while based on renewable biological resources, also predicts economic growth. Starting from a growth-economic as well as knowledge- and innovation-economic perspective the contributions give an overview of different existing patterns and cases and describe the basic prerequisites for the bioeconomy transformation. Therewith, the volume is a resource for experts and newcomers in the field of bioeconomy giving insight into the life cycle of bio-based products, detailing the latest advancements and how to turn them into economic growth.

The book illustrates the considerable advances in modern evolutionary economics and addresses core questions of economic behaviour, interaction of heterogeneous actors in uncertain environments and the possibility of aggregating observations on a macro-economic level. It presents the foundations of economic change as the major building blocks of an economic approach that focusses on complex processes driven by endogenous innovation as well as crisis. The theoretical considerations are complemented by econometric studies to demonstrate the relevance of evolutionary-economic thinking to improve our understanding of the most challenging issues related to economic growth and development.

This book is at the cutting edge of the ongoing ‘neo-Schumpeterian’ research program that investigates how economic growth and its fluctuation can be understood as the outcome of a historical process of economic evolution. Much of modern evolutionary economics has relied upon biological analogy, especially about natural selection. Although this is valid and useful, evolutionary economists have, increasingly, begun to build their analytical representations of economic evolution on understandings derived from complex systems science. In this book, the fact that economic systems are, necessarily, complex adaptive systems is explored, both theoretically and empirically, in a range of contexts. Throughout, there is a primary focus upon the interconnected processes of innovation and entrepreneurship, which are the ultimate sources of all economic growth. Twenty two chapters are provided by renowned experts in the related fields of evolutionary economics and the economics of innovation.

The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co-operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models' structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.

This book discusses the influence of technological and institutional change on development and growth, the impact on innovation of labor markets, the spatial distribution of innovation dynamics, and the meaning of knowledge generation and knowledge diffusion processes for development policies. The individual articles demonstrate the powerful possibilities that emerge from the toolkit of evolutionary and Schumpeterian economics. The book shows that evolutionary economics can be applied to the multi-facetted phenomena of economic development, and that a strong orientation on knowledge and innovation is key to development, especially in less developed and emerging economies.

The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co-operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models' structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.

This book discusses the influence of technological and institutional change on development and growth, the impact on innovation of labor markets, the spatial distribution of innovation dynamics, and the meaning of knowledge generation and knowledge diffusion processes for development policies. The individual articles demonstrate the powerful possibilities that emerge from the toolkit of evolutionary and Schumpeterian economics. The book shows that evolutionary economics can be applied to the multi-facetted phenomena of economic development, and that a strong orientation on knowledge and innovation is key to development, especially in less developed and emerging economies.

social network analysis has been an established eld since the 1950s; in computer and information sciences, in biology, and of course in mathematics (graph theory) networks are central representations of objects and methods (De Nooy, forthc- ing). More detailed bibliometric studies have examined the individual, cognitive, and institutional composition of complex network theory (Morris and Yen 2004), and social network theory (Otte and Rousseau 2002). Among the more impor- .. tant pieces of literature are Borner et al. (2007), Bornholdt and Schuster (2003), Buchanan (2002), Dorogovtsev and Mendes (2003), Otte and Rousseau (2002), Newman (2003), and Watts (1999, 2004). Of these, Borner .. et al. (2007) stand out because they have most recently re-examined network science, considering it as a possible innovation in information science. All the reviews mentioned include efforts to build bridges between different scienti c disciplines and specialties. In this book we draw particular attention to the link between evolutionary economics and statistical physics. Despite this impressive development, claims that an entirely new science has been created (Barabasi ' 2002) have nevertheless been the subject of criticism. - depth analyses of a subset of "complex networks" contributions (1991-2003) have shown that the notion of "complex networks" was already prevalent in a number of different elds before it became practically a "brand name" or the popular label for a new specialty area in physics, or a new cross-disciplinary paradigm.

social network analysis has been an established eld since the 1950s; in computer and information sciences, in biology, and of course in mathematics (graph theory) networks are central representations of objects and methods (De Nooy, forthc- ing). More detailed bibliometric studies have examined the individual, cognitive, and institutional composition of complex network theory (Morris and Yen 2004), and social network theory (Otte and Rousseau 2002). Among the more impor- .. tant pieces of literature are Borner et al. (2007), Bornholdt and Schuster (2003), Buchanan (2002), Dorogovtsev and Mendes (2003), Otte and Rousseau (2002), Newman (2003), and Watts (1999, 2004). Of these, Borner .. et al. (2007) stand out because they have most recently re-examined network science, considering it as a possible innovation in information science. All the reviews mentioned include efforts to build bridges between different scienti c disciplines and specialties. In this book we draw particular attention to the link between evolutionary economics and statistical physics. Despite this impressive development, claims that an entirely new science has been created (Barabasi ' 2002) have nevertheless been the subject of criticism. - depth analyses of a subset of "complex networks" contributions (1991-2003) have shown that the notion of "complex networks" was already prevalent in a number of different elds before it became practically a "brand name" or the popular label for a new specialty area in physics, or a new cross-disciplinary paradigm.

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 - knowledge and cognition, studies of knowledge-based industries, the geographical dimension of knowledge-based economies and measuring and modelling for knowledge-based economies - and give a broad overview of the prolific research being undertaken in applied evolutionary economics. Students will find this book an invaluable resource for future research, as will researchers seeking an introduction to new methods and perspectives of analysis.

This volume presents selected contributions from the 2018 conference of the International Schumpeter Society (ISS). The selected chapters in this volume reflect the state-of-the-art of Schumpeterian economics dedicated to the three conference topics innovation, catch-up, and sustainability. Innovation is driving catch-up processes and is the condition for a transformation towards higher degrees of sustainability. Therefore, Schumpeterian economics has to play a key role in these most challenging fields of human societies' development in the 21st century. The three topics are well suited to capture the great variety of issues, which have the potential to shape the scientific discussion in economics and related disciplines in the years to come. The presented contributions show the broadness and high standard of Schumpeterian analysis. The ideas of dynamics, heterogeneity, novelty, and innovation as well as transformation are the most attractive fields in economics today and offer the most prolific interdisciplinary connections now and for the years to come when humankind, our global society, has to master the transition towards sustainable economic systems by solving the grand challenges and wicked problems with which we are confronted today. Therefore, the book is a must-read for scholars, researchers, and students, interested in a better understanding of innovation, catch-up, and sustainability, and Schumpeterian economics in general.The chapter "Industrial life cycle: relevance of national markets in the development of new industries for energy technologies - the case of wind energy" is available open access under a CC BY 4.0 License via link.springer.com.

This book is at the cutting edge of the ongoing 'neo-Schumpeterian' research program that investigates how economic growth and its fluctuation can be understood as the outcome of a historical process of economic evolution. Much of modern evolutionary economics has relied upon biological analogy, especially about natural selection. Although this is valid and useful, evolutionary economists have, increasingly, begun to build their analytical representations of economic evolution on understandings derived from complex systems science. In this book, the fact that economic systems are, necessarily, complex adaptive systems is explored, both theoretically and empirically, in a range of contexts. Throughout, there is a primary focus upon the interconnected processes of innovation and entrepreneurship, which are the ultimate sources of all economic growth. Twenty two chapters are provided by renowned experts in the related fields of evolutionary economics and the economics of innovation.

More than one hundred years after Thorstein Veblen's famous article 'Why is Economics Not an Evolutionary Science?', Evolutionary Economics is now widely recognized as a highly productive approach offering crucial insights for the understanding of socio-economic processes of change and development. A major feature in the development of Evolutionary Economics is-and has always been-its strong multi-disciplinary character, and this new four-volume collection in the Routledge Major Works series, Critical Concepts in Economics, meets the need for an authoritative, up-to-date, and comprehensive reference work synthesizing this voluminous literature. Indeed, the sheer scale of the research output-and the breadth of the field-makes this collection especially welcome. It answers the need for a comprehensive collection of classic and contemporary contributions to facilitate ready access to the most influential and important scholarship from a wide range of theoretical and practical perspectives. Evolutionary Economics is edited by Andreas Pyka, a leading scholar in the field. The collection is fully indexed and has a comprehensive, newly written, introduction, which places the material in its intellectual context. It is an essential work of reference and is destined to be valued by scholars and students as a vital one-stop research resource.