Elgar Companion to Neo - Schumpeterian Economics

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Free Download Horst Hanusch, Andreas Pyka, "Elgar Companion to Neo-Schumpeterian Economics"
English | 2007 | pages: 1229 | ISBN: 1843762536 | PDF | 4,6 mb
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.


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