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Tables of Contents for Knowledge, Complexity and Innovation Systems
Chapter/Section Title
Page #
Page Count
Preface
Knowledge, Complexity and Innovation Systems: Prologue
1
422
Manfred M. Fischer
Josef Frohlich
PART A: Innovation Systems
Networks, National Innovation Systems and Self-Organisation
Pier Paolo Saviotti
Introduction
21
2
Complexity and Evolutionary Theories
23
8
Implications of Evolutionary Theories for the NSI
31
12
Conclusions
43
3
Innovation Policy in the Systems of Innovation Approach: Some Basic Principles
Charles Edquist
Introduction
46
1
Innovation Policy
46
1
Objectives of Innovation Policy
47
1
Reasons for Innovation Policy Intervention
47
1
The Role of Different Kinds of Innovations
48
2
Systems of Innovation
50
1
General Policy Implications of the SI Approach
50
5
The SI Approach as a Framework for Designing Specific Innovation Policy
55
3
The Globalisation of Technology and the European Innovation System
Daniele Archibugi
Alberto Coco
Introduction
58
1
The Globalisation of Technology
59
2
The Quantitative Significance of the Globalisation of Technology and the Position of Europe
61
7
Policy Analysis
68
6
Conclusions
74
5
PART B: Knowledge Creation and Spillovers
Scaling Knowledge Production: How Significant is the Region?
Arnoud Lagendijk
Introduction
79
1
The Region as a `Natural' and Unique Site of Knowledge Production
80
4
The Region as a System of Innovation
84
3
The Region as a Political Site of Knowledge Production
87
4
Intermezzo: The Region as a `Spatially Reified' Site of Knowledge Production
91
5
The Region as a `Socially Constructed' Site of Knowledge Production
96
4
Outlook: The Region as a Site of Policy Innovation
100
1
Knowledge Spillovers in a Spatial Context --- A Critical Review and Assessment
Charlie Karlsson
Agostino Manduchi
Introduction
101
2
Knowledge in Economic Theory
103
2
Knowledge Spillovers --- A General Introduction
105
4
Knowledge Spillovers over the Industry Life-Cycle
109
1
Knowledge Spillovers --- The Empirical Evidence
110
4
Knowledge Spillovers --- Towards a Formalisation
114
4
Knowledge Spillovers and Spatial Interaction
118
1
Modelling the Influence of Knowledge Spillovers
119
2
Technology Policy in a World with Knowledge Spillovers
121
1
Conclusions
121
3
The Role of Space in the Creation of Knowledge in Austria - An Exploratory Spatial Analysis
Manfred M. Fischer
Josef Frohlich
Helmut Gassler
Attila Varga
Introduction
124
1
Methodology and Data
125
5
Time-Space Patterns of Knowledge Production in Austria
130
6
Local Inputs to Innovation --- An Assessment of Their Relative Significance in Knowledge Production
136
5
Conclusions
141
5
Knowledge Spillovers in High Technology Agglomerations: Measurement and Modelling
Elsie Echeverri-Carroll
Introduction
146
2
Core-Periphery Spatial Models
148
6
Data and the Definition of High Technology
154
1
Statistical Results
155
3
Conclusions
158
7
PART C: Innovation, Knowledge and Regional Development
Inventive Knowledge and the Sources of New Technology: Regional Changes in Innovative Capacity in the United States
Luis Suarez-Villa
Introduction
165
1
The Emergence of the Sunbelt
166
6
The Factors of Inversion
172
7
Conclusions
179
2
Urban Innovation and Collective Learning: Theory and Evidence from Five Metropolitan Cities in Europe
Roberta Capello
Introduction
181
1
Learning in Cities
182
6
Data, Sample Characteristics and Methodology
188
3
Innovative Behaviour of Firms in Metropolitan Cities
191
6
The Determinants of Innovation in Cities
197
2
Dynamic Urbanisation Economies versus Milieu Economies in Innovative Behaviour: The Role of Firms' Size and Sectoral Specialisation
199
4
Conclusions
203
6
Distributed Knowledge in Complex Engineering Project Networks: Implications for Regional Innovation Systems
Neil Alderman
Introduction
209
2
Complex Engineering Project Networks
211
1
Regional Innovation Systems and Project Value Systems
212
5
Case Studies
217
6
Conclusions
223
5
Endogenous Technological Change, Entrepreneurship and Regional Growth
Zoltan J. Acs
Introduction
228
2
Endogenous Technical Change
230
3
Entrepreneurial Discovery
233
3
Regional Growth
236
6
Theory and Empirical Results
242
2
Policy Implications
244
7
PART D: Modelling Complexities
Modelling of Knowledge, Capital Formation, and Innovation Behaviour within Micro-Based Profit Oriented and Correlated Decision Processes
Gunter Haag
Philipp Liedl
Introduction
251
3
Modelling Nested Innovation Processes
254
10
Simulations for Selected Examples and Scenarios
264
9
Conclusions
273
2
Communication and Self-Organisation in Complex Systems: A Basic Approach
Frank Schweitzer
Jorg Zimmermann
Introduction
275
1
Complex Systems and Self-Organisation
276
2
Complex Versus Minimalistic Agents
278
3
An Information-Theoretic Approach
281
2
Basic Model of Communicating Agents
283
3
The Mean-Field Approach
286
3
Spatial Information Distribution
289
6
Conclusions
295
2
Agents, Interactions, and Co-Evolutionary Learning
David F. Batten
Introduction
297
1
Schelling's Self-Organising Neighbourhoods
298
4
Simulation via Cellular Automata
302
4
Growing an Innovative Silicon Society
306
3
Co-Evolutionary Learning
309
2
Discovering Artificial Economics
311
3
Some Final Thoughts
314
3
Major Actors of Innovation Diffusion Process
Michael Sonis
Introduction: Innovation Diffusion as a Way to Complexity through the Process of Complication
317
1
Major Actors in the Innovation Diffusion Process
318
10
The First Principle of Individual Choice within the Collective
328
4
Innovators and Innovating Elites
332
3
Active Environment and Socio-Ecological Niches
335
5
Conclusions
340
5
PART E: Policy Issues
Options, Innovation and Metropolitan Development: Novel Insights from Non-Linear Dynamics
Dimitrios Dendrinos
Background
345
2
Options and Metropolitan Development
347
3
Options and Their Prices
350
6
Derivatives, Speculation and Development
356
5
Derivatives Market Failures and Regulation
361
6
Conclusions
367
2
Spatial Dynamics and Government Policy: An Artificial Intelligence Approach to Comparing Complex Systems
Peter Nijkamp
Jacques Poot
Gabriella Vindigni
Complexity in a Dynamic Spatial-Economic Context
369
3
Research Synthesis and Meta-Analysis
372
2
Rough Set Analysis as an Artificial Intelligence Tool for Research Synthesis
374
3
A Sample of Studies on Government and Growth
377
2
The Generalised Rough Set Method: A Multilevel Strategy Learning Approach
379
11
Conclusions
390
12
Does R & D-Infrastructure Attract High-Tech Start-Ups?
Dirk Engel
Andreas Fier
Introduction
402
1
Theoretical Reflections
402
3
Definitions and Data
405
1
High-Tech Start-Ups in Eastern Germany
406
4
Determinants for Regional Differences in the Number of High-Tech Start-Ups
410
9
Conclusions and Policy Implications
419
4
References
423
32
List of Figures
455
2
List of Tables
457
2
Subject Index
459
8
Author Index
467
8
List of Contributors
475