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Leading up to the financial crisis of 2008 and onwards, the shortcomings of traditional models of regional economic and environmental development had become increasingly evident. Rooted in the idea that ‘policy’ is an encumbrance to free markets, the stress on supply-side smoothing measures such as clusters and an over reliance on venture capital, the inadequacy of existing orthodoxies has come to be replaced by the notion of Transversality. This approach has three strong characteristics that differentiate it from its failing predecessor. First, as the name implies, it seeks to finesse horizontal knowledge interactions as well as vertical ones, thus building ‘platforms’ of industrial interaction. Secondly, it is not a supply, but a demand side model in which needs-driven innovation rather than pure market competition prevails. Finally, it is ongoing through recessionary times, being more robust than over-specialised approaches to economic growth. The intellectual origins of Transversality lie in an aspiration to promote eco-innovation, one of the key hopes of assisting Western regional and national economies to re-balance and escape recession. The policy models of key regional exponents of the concept are explored and their goals achievement is assessed. An array of policy instruments and measures is presented for hands-on policy implementation. The book will be of vital interest to academics as teachers and researchers as well as policy advisers and public servants.
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.
An exploration of emergent roles for design and the 21st century designer explored through the work of 21 research teams. Over a twelve-month period each of these groups held a series of workshops and events to examine different facets of future design activity. Each of the contributions describes the context of enquiry, the journey taken by the research team and key insights generated through discourse. Editor and Initiative Director, Tom Inns, provides an introductory chapter that suggests ways that the reader might navigate these different viewpoints.
A new view of the economy as an evolving, complex system has been pioneered at the Santa Fe Institute over the last ten years, This volume is a collection of articles that shape and define this view?a view of the economy as emerging from the interactions of individual agents whose behavior constantly evolves, whose strategies and actions are always adapting.The traditional framework in economics portrays activity within an equilibrium steady state. The interacting agents in the economy are typically homogenous, solve well-defined problems using perfect rationality, and act within given legal and social structures. The complexity approach, by contrast, sees economic activity as continually changing?continually in process. The interacting agents are typically heterogeneous, they must cognitively interpret the problems they face, and together they create the structures?markets, legal and social institutions, price patters, expectations?to which they individually react. Such structures may never settle down. Agents may forever adapt and explore and evolve their behaviors within structures that continually emerge and change and disappear?structures these behaviors co-create. This complexity approach does not replace the equilibrium one?it complements it.The papers here collected originated at a recent conference at the Santa Fe Institute, which was called to follow up the well-known 1987 SFI conference organized by Philip Anderson, Kenneth Arrow, and David Pines. They survey the new study of complexity and the economy. They apply this approach to real economic problems and they show the extent to which the initial vision of the 1987 conference has come to fruition.
"This book explores the foundation, history, and theory of intelligent adaptive systems, providing a fundamental resource on topics such as the emergence of intelligent adaptive systems in social sciences, biologically inspired artificial social systems, sensory information processing, as well as the conceptual and methodological issues and approaches to intelligent adaptive systems"--Provided by publisher.
This issue of the STI Review focuses on the new rationale and approaches in technology and innovation policy.
After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.
This book constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL 2006, held in Hefei, China in October 2006. The 117 revised full papers presented were carefully reviewed and selected from 420 submissions.
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.
This book brings together a series of overview articles that appeared in the first three issues of the groundbreaking journal Artificial Life.