This volume contains a collection of papers all concerned with the exploration of economic and social dynamics in relation to the innovation process and its outcomes. This theme is firmly rooted in the Schumpeterian tradition in which an economic perspective is mutually embedded in a wider awareness of the role of other disciplines. Indeed since Schumpeter's time, the degree of specialisation within the social sciences has risen many fold, new sub disciplines continue to emerge, highly specialised theoretical tools and empirical methods continue to be developed, and new fields for the study of management and business overlap with the more traditional social sciences. There is, consequently, a need for connecting principles to offset the dangers of intellectual fragmentation. Evolutionary economics and evolutionary analysis more generally, certainly provide some of these connecting principles. The various contributions to this volume reflect upon this research programme in a number of ways.
The collected papers in this volume are all concerned either in a direct sense or in a more wider perspective with the work of Joseph A. Schumpeter. Looking at Schumpeter's work, his lasting influence on important areas of research can be identified. One of these areas is obviously Schumpeter's idea about the future capitalism, a second one the issue of innovation and its consequences for economic development. A third area is concerned with the political process and the role of political leadership. The collection of this volume is developed along these main lines, complemented by papers discussing the place of Schumpeter's work within the history of economic analysis.
This book addresses central issues in evolutionary and Schumpeterian accounts of industrial competition, learning, and innovation. It contains a collection of twelve papers which are oriented toward exploring methodological issues in evolutionary and related scholarship. Reflecting the diversity of work in evolutionary scholarship, a range of methodologies are employed in the papers, including simulation, experiments, and econometric analysis. Some of the papers use well established models to takle new questions and problems. Others introduce entirely new approaches, which the authors indicate are still in a state of infancy and await further development. The collection attempts to raise even more interest in evolutionary economics, to provide some suggestions for future research directions, and to initiate a lively discussion of the issues raised.
This volume contains a collection of papers all concerned with the exploration of economic and social dynamics in relation to the innovation process and its outcomes. This theme is firmly rooted in the Schumpeterian tradition in which an economic perspective is mutually embedded in a wider awareness of the role of other disciplines. Indeed since Schumpeter's time, the degree of specialisation within the social sciences has risen many fold, new sub disciplines continue to emerge, highly specialised theoretical tools and empirical methods continue to be developed, and new fields for the study of management and business overlap with the more traditional social sciences. There is, consequently, a need for connecting principles to offset the dangers of intellectual fragmentation. Evolutionary economics and evolutionary analysis more generally, certainly provide some of these connecting principles. The various contributions to this volume reflect upon this research programme in a number of ways.
Silicon Valley is the most salient example of high-tech industrial clusters. Public policymakersthroughouttheworldwouldliketolearnthesecretsofSiliconValley in order to build their own high-tech economies. The existing literature on ind- trial clusters, which traces back to Marshall (1920), focuses on the way in which ?rms bene?t from locating in a cluster; it suggests that once a cluster comes into existence, it tends to reinforce itself by attracting more ?rms. However, a more important question is how to reach this critical mass in the ?rst place. In contrast to the literature, evidence suggests that entrepreneurs rarely move when they est- lish high-tech start-ups (Cooper and Folta, 2000). This contradicts the notion that location choice analyses lead entrepreneurs to a high-tech cluster. A high-tech industrial cluster such as Silicon Valley is characterized by c- centratedentrepreneurship. FollowingSchumpeter,weemphasizethefactthat“the appearance of one or a few entrepreneurs facilitates the appearance of others” (Schumpeter,1934). Weproposeanagent-basedcomputationalmodeltoshowhow high-tech industrial clusters could emerge in a landscape in which no ?rms existed originally. The model is essentially a spatial version of the Nelson-Winter model: Boundedly rational agents are scattered over an explicitly de?ned landscape. Each agent is endowed with some technology, which determines his ?rm’s productivity (if he has one). During each period of time, an agent with no ?rm would make a decision as to whether he wants to start one. This decision is mostly affected by the behavior of his social contacts, who are all his neighbors.
This book addresses central issues in evolutionary and Schumpeterian accounts of industrial competition, learning, and innovation. It contains a collection of twelve papers which are oriented toward exploring methodological issues in evolutionary and related scholarship. Reflecting the diversity of work in evolutionary scholarship, a range of methodologies are employed in the papers, including simulation, experiments, and econometric analysis. Some of the papers use well established models to takle new questions and problems. Others introduce entirely new approaches, which the authors indicate are still in a state of infancy and await further development. The collection attempts to raise even more interest in evolutionary economics, to provide some suggestions for future research directions, and to initiate a lively discussion of the issues raised.
Recent developments in economics have gone from the recognition of the importance of innovation for growth and the exploration of innovation mechanisms to the incorporation of the results of the previous research into economic models. An important lesson to be drawn from all this research is that a purely macro-based analysis of growth is not enough. The various mechanisms of innovation creation and diffusion, the importance of agent heterogeneity, of market selection processes, of the internal organization of the firm and of organizational routines, and the obsolescence and the consequent emergence of new types of capital goods are a few examples of micro-economic phenomena that contribute decisively to macro-economic development. The papers in this volume approach those issues from a Schumpeterian point of view and tackle issues like the growing importance of knowledge and human capital; increasing returns and path dependence; the role of variety in economic growth; competition and industry evolution.
The collected papers in this volume are all concerned either in a direct sense or in a more wider perspective with the work of Joseph A. Schumpeter. Looking at Schumpeter's work, his lasting influence on important areas of research can be identified. One of these areas is obviously Schumpeter's idea about the future capitalism, a second one the issue of innovation and its consequences for economic development. A third area is concerned with the political process and the role of political leadership. The collection of this volume is developed along these main lines, complemented by papers discussing the place of Schumpeter's work within the history of economic analysis.
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