The Diversity Complexity And Evolution Of High Tech Capitalism


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The Diversity, Complexity, and Evolution of High Tech Capitalism


The Diversity, Complexity, and Evolution of High Tech Capitalism

Author: Sten A. Thore

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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In his book "Jurassic Park" (and in the movie based on the book), Michael Crichton describes a crazed professor who through techniques of genetic engineering manages to recreate the dinosaurs and giant ferns of 65 million years past. Once the giant Tyrannosaurus Rex is brought to life. a powerful dynamics sets in: evolution. The prehistoric world embarks on a collision course with man. Researching his book, Crichton had been reading up on paleontology and on the mathematical theory of evolution, catastrophes, and chaos. Crichton explains some of the twists of nonlinear mathematics that are rewriting not only thermodynamics, physics, and chemistry (that all grapple with evolving and turbulent processes) but also paleontology, genetics, medicine and even anthropology. Collapse and chaos is not limited to prehistoric animal kingdoms and ancient civilizations. The collapse of the Soviet Union and the political and economic chaos in its aftermath demonstrate that modern civilizations are just as vulnerable. This book aims at reexamining some main portions of the discipline of economics from the point of view of economic change and creativity. There are two aspects to this perspective. First, diversity and complexity. The range of different kinds of high technology products available to consumers and producers increases rapidly. Each product is the result of a long and complex production hierarchy. As these hierarchies grow, they deliver ever more diversified and complex high tech goods. Other hierarchies fall by the wayside.

Entrepreneurship, the New Economy and Public Policy


Entrepreneurship, the New Economy and Public Policy

Author: Uwe Cantner

language: en

Publisher: Springer Science & Business Media

Release Date: 2005-12-12


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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.

Schumpeter, Innovation and Growth


Schumpeter, Innovation and Growth

Author: Mümtaz Keklik

language: en

Publisher: Routledge

Release Date: 2018-02-06


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This title was first published in 2003. Bringing together contemporary innovation pattern theories inspired by the two original patterns developed by Joseph A. Schumpeter, this book develops an innovative new model of long wave aggregate level economic activity. This model is rigorously tested with post-war US manufacturing data, revealing an intriguing correlation between the data and the model. The book examines different theories of technological change, and provides a detailed account of the long wave which makes use of the relevant aspects of these theories, without betraying their main features and messages. These theories are synthesized and shown to be consistent with the development of post-war US manufacturing. Shedding light on the dynamics of the technological advances that have taken place in the last 20 years, economists and students alike will find this volume an invaluable read.