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Jana Schmutzler, Marcela Suarez, Alexandra Tsvetkova and Alessandra Faggian
This introductory chapter synthesizes the arguments presented by the book contributors and argues that a broad definition of innovation systems is appropriate in the context of developing and transition countries. By weaving in specific examples from the chapters, the introduction demonstrates the importance of a context-specific approach that takes into account sociocultural context, macroeconomic structures and institutions. Taken as a whole, the book shows how the system level of National Innovation Systems (NIS) influences the way firms and other actors build up competences and learn, while the outcomes of interactions among these actors at the micro level shape the NIS environment.
Åke E. Andersson and David Emanuel Andersson
The games of markets including entrepreneur-driven economic development have always taken place on an arena of the combined material and non-material infrastructure. The infrastructure thus constitutes the arena; it is public capital that facilitates and constrains the rapid “games” of buying and selling that economic agents play. Agents perceive the arena as stable because its evolution is so much slower than that of markets for goods and services. Synergetic theory is well equipped to handle such multiple timescales. Its application to economic phenomena enables us to show that competitive equilibrium theory requires prior specification of the infrastructural arena, which consists of public knowledge, space-bridging networks and institutions. Synergetic theory can also help us avoid the pitfalls of conventional macroeconomic theory. In this chapter, we demonstrate how macroeconomic equilibrium depends on the infrastructure. We claim that all goods are durable and are thus instances of capital. This means that historical trajectories, current outcomes, uncertain expectations and changes in spatial accessibility all influence the growth and fluctuations in the value of capital goods. Dynamic non-linear interactions between scientists, inventors and entrepreneurs affect investments. New technological or design ideas spread most easily among spatially proximate firms within communication and transport networks. Such network effects shape processes of spatial clustering, agglomeration and urbanization. Based on causal and various econometric considerations, it has been common for economists to resort to difference equation in their modeling strategies. But if we include dynamic interactions within a system of difference equations—so as to accommodate realistic causal assumptions—it will often result in complex models with chaotic outcomes. However, there are ways out of chaos in economic modeling. The first is to focus on continuous dynamic synergetic models, which implies a careful separation of variables and dynamic processes according to their relevant timescales as well as the collectiveness of their impacts.
Thijs ten Raa
The core instrument of input-output analysis is a matrix of technical coefficients. This input-output matrix orders national accounts by interconnecting the use and make statistics of the different sectors, traces indirect economic effects or multipliers, and is used to map environmental impacts or footprints. At all levels there are issues of its dimension, not only size but also type - commodities or industries - and resolution of these issues requires that statisticians, economists (applied and theoretical), and policy analysts (including environmental) familiarize themselves with each other's work. All contribute various chapters of the handbook and these are interrelated in this introductory chapter.
Edited by Thijs ten Raa
Bjørn T. Asheim, Arne Isaksen, Roman Martin and Michaela Trippl
This chapter deals with the role of clusters and public policy in new regional economic path development. New path development is analysed from an institutional perspective by focusing on changes in the wider regional innovation system (RIS), including firms, universities and governmental agencies, and by placing emphasis on the role that public policy can play. We argue that new regional economic path development requires a broad-based policy approach that stimulates cross-fertilizing effects between different industrial activities within and beyond the region. While cluster policies are well-suited to support the growth and sustainment of existing industries, policies for new path development should aim at regional diversification and variety creation, preferably based on existing strengths and expertise in the region. These ideas are central to the Constructing Regional Advantage (CRA) approach. Empirically, the chapter draws on case study research on two new regional economic growth paths in Sweden and Norway, namely the new media cluster in Southern Sweden and the Oslo Cancer cluster. While the first is an example of path renewal through combining knowledge bases, the latter is an example for new path creation based on scientific knowledge. The empirical analysis underlines the role that public policy can play in facilitating new regional economic path development.