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Complexity and Industrial Clusters

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Cover of 'Complexity and Industrial Clusters'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: From Specific Industrial Cases to a General Economic Model?
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    Chapter 2 What Is Complexity?
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    Chapter 3 Complex Adaptive Systems and Spontaneous Emergence
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    Chapter 4 The Industrial Cluster as a Complex Adaptive System
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    Chapter 5 Complexity and Local Interactions: Towards a Theory of Industrial Districts
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    Chapter 6 From Marshall’s to the Italian “Industrial Districts”. A Brief Critical Reconstruction
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    Chapter 7 Diversity, Not Specialization: The Ties That Bind the (New) Industrial District
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    Chapter 8 Competitive and Synergic Behaviours in the Development of Industrial Clusters: Ecological Modelling and Empirical Evidence
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    Chapter 9 On the Ubiquitous Nature of Agglomeration Economies and Their Diverse Determinants: Some Notes
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    Chapter 10 The Entrepreneurial Spark: Individual Agents and the Formation of Innovative Clusters
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    Chapter 11 From Exogenous to Endogenous Local Development: The Cases of the Toulouse and Sophia Antipolis Technopoles
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    Chapter 12 Biotechnology Development in Germany: The Case of Nordrhein-Westfalen
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    Chapter 13 Support for Technology-Based Firms: The Role Played by Property-Based Science Parks
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    Chapter 14 High-Tech Industrial Clusters in the Asian Countries: The Case of the Electronics Industry in the Hsinchu-Taipei Region
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    Chapter 15 Financial Markets, Industrial Clusters and Small and Medium-Size Enterprises
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Citations

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Title
Complexity and Industrial Clusters
Published by
Physica-Verlag HD, December 2012
DOI 10.1007/978-3-642-50007-7
ISBNs
978-3-79-081471-2, 978-3-64-250007-7
Editors

Curzio, Alberto Quadrio, Fortis, Marco

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 46%
Student > Doctoral Student 2 15%
Student > Master 2 15%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Readers by discipline Count As %
Business, Management and Accounting 3 23%
Engineering 3 23%
Environmental Science 2 15%
Economics, Econometrics and Finance 2 15%
Computer Science 1 8%
Other 2 15%