Overview

When considering the dynamics of regional growth rates, one usually observes growth convergence on spatial aggregates but non-convergence or even divergence within smaller regions of different type. This book suggests various approaches to investigate this puzzle. A formal model, merging approaches from growth theory and new economic geography, shows that spatial knowledge spillovers might be the driving force behind this behavior. To analyze an arbitrary number of regions, the model is implemented on a locally recursive simulation tool - cellular automata. Convergence regressions from different runs of the automaton confirm previous findings. Finally, the existence of spatial knowledge spillovers is tested. Regressions give strong evidence for spatial knowledge spillovers. All the relevant literature and spatial econometric methods are surveyed. Data is reproduced in the appendix.

Full Product Details

Author:   Max C. Keilbach
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   2000 ed.
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.670kg
ISBN:  

9783790813210

ISBN 10:   3790813214
Pages:   194
Publication Date:   14 September 2000
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Introduction and Motivation.- 2 Why and How Does Economic Activity Grow? An Overview of the Literature.- 3 Why and How Does Economic Activity Concentrate in Space? Another Overview of the Literature.- 4 Spatial Knowledge Spillovers and the Dynamics of Agglomeration and Regional Growth.- 5 Marshallian Externalities, Spatial Self-Organization and Regional Growth — an Agent Based Approach.- 6 Spatial Processes in the Economy — an Empirical Investigation.- 7 Summary and Conclusion.- A Generalization of the Model Developed in Chapter 4.- A. 1 Illustration of the Allocation Dynamics for a Region with an Arbitrary Number of Firms.- A.2 Proof that Firms Employ Identical Factor Ratios or Identical Factor Shares.- B Mathematical Appendix.- B.l Proof that the Bias of an OLS Estimation in the Presence of Spatial Autocorrelation is Biased.- B.2 Derivation of the Log-Likelihood Function of Model (6.2).- C Data.- List of Symbols.- List of Figures.- List of Tables.- References.

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