The economics of complex spatial systems

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Bibliographic Information

The economics of complex spatial systems

Peter Nijkamp and Aura Reggiani

Elsevier Science B.V., 1998

  • alk. paper

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Note

Includes bibliographical references (p. 247-264) and index

Description and Table of Contents

Description

This book argues that complexity theory offers new departures for (spatial-) economic modelling. It offers a broad overview of recent advances in non-linear dynamics (catastrophe theory, chaos theory, evolutionary theory and so forth) and illustrates the relevance of this new paradigm on the basis of several illustrations in the area of space-economy. The empirical limitations - inherent in the use of non-linear dynamic systems approaches - are also addressed. Next, the application potential of biocomputing (in particular, neural networks and evolutionary algorithms) is stressed, while various empirical model results are presented. The book concludes with an agenda for further research.

Table of Contents

Section Headings: Preface. Uncertainty and Complexity. Nonlinear Dynamics in Spatial Systems: The Relevance of Chaos and Asymmetric Behaviour. Evolutionary Approaches to Spatial-Economic Systems: The Relevance of Ecologically-Based Models. Complex Synergetics: Spatial Growth and Diffusion Processes. Complexity and Connectivity in Multi-Layer Spatial-Economic Systems. The Economics of Network Synergy and Spatial Evolution. Neural Networks for the Analysis of Complex Spatial Systems. Complex Spatial Interaction Systems: Empirical Applications by Means of Neural Networks and Logit Models. The Complex Dynamics of Spatial-Economic Systems Revisited. References. Acknowledgements. Index.

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