City Growth in Europe
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City Growth in Europe
Volkswirtschaftliche Schriften, Vol. 518
(2001)
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Abstract
One of the most notable features of literature about "new economic geography" is a close association between theoretical and empirical work. In contrast to earlier research, theoretical studies are often much more strongly focused on real-world phenomena. At the same time, empirical work is often more closely tied to theoretical models. Instead of purely detecting possible stylized facts, considerable efforts have been made to test for the relevance of theoretical results.A major shortcoming of recent empirical work in urban economics is, however, the startling concentration on basically only two estimation strategies. Probably driven by limited data availability, most analyses are either cross-country studies which usually seek to explore a data set as rich as possible, or the studies examine single country data and then often focus on U.S. experiences.This book aims to provide a new - European - perspective. The basic idea is that a focus on European cities, apart from being interesting for itself, allows to combine both previous approaches. In particular, there is considerable cross-country variation while, in addition, also reliable historical data is available. Therefore, it is one of the contributions to compile a new data set of European cities which covers 13 countries and ranges from 1870 to 1990.This set of data is then applied to explore several hypotheses which have been recently proposed in literature. In particular, three sets of issues are discussed: the growth pattern of cities and their implications for Zipf's law, the relationship between trade openness and urban concentration, and the role of history for city growth. The results are often striking. In contrast to some previous findings, for instance, there is only weak evidence for random growth across cities. Also, the empirical evidence for an association between external trade and internal geography turns out to be shaky. Finally, it is argued that the urban dominance of Vienna after the dissolution of the Austro-Hungarian Empire in 1918 is evidence in favor of path dependence in city growth.Taken together, the book shows that the European experience provides a rich laboratory of real-world data which still waits to be explored.
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Table of Contents | 7 | ||
| Chapter 1: Introduction | 15 | ||
| Chapter 2: Some Empirics on Zipf's Law for Cities | 18 | ||
| 2.1 Introduction | 18 | ||
| 2.2 Theoretical Explanations | 20 | ||
| 2.3 Evidence on Zipf's Law in Europe | 21 | ||
| 2.3.1 Data | 22 | ||
| 2.3.2 Basic Results | 25 | ||
| 2.3.3 Examining Explanations for Deviations from an Exponent of 1 | 35 | ||
| 2.4 Distribution Dynamics | 37 | ||
| 2.4.1 Kernel Density | 38 | ||
| 2.4.2 Transition Matrices | 44 | ||
| 2.4.3 Which Cities Grow? | 57 | ||
| 2.5 The Austrian Experience | 61 | ||
| 2.6 Summary | 68 | ||
| Chapter 3: Krugman and Livas Elizondo Revisited: Is There a Link Between Trade Policy and Urban Concentration? | 70 | ||
| 3.1 Introduction | 70 | ||
| 3.2 The Model | 71 | ||
| 3.2.1 Stylized World Geography | 72 | ||
| 3.2.2 Wage Structure | 73 | ||
| 3.2.3 Consumer's Problem | 76 | ||
| 3.2.4 Producer's Problem | 77 | ||
| 3.2.5 Government's Problem | 79 | ||
| 3.2.6 Equilibrium | 79 | ||
| 3.3 Simulation Results | 81 | ||
| 3.3.1 Replicating Krugman and Livas Elizondo (1996) | 82 | ||
| 3.3.2 Sensitivity Analysis | 84 | ||
| 3.3.3 Allowing for Different Distances Between Domestic Locations and the ROW | 89 | ||
| 3.3.4 Allowing for a Redistribution of Tariff Revenues | 92 | ||
| 3.4 Conclusions | 94 | ||
| Chapter 4: Does Openness Reduce Urban Concentration? Evidence from 120 Years of European Data | 96 | ||
| 4.1 Introduction | 96 | ||
| 4.2 Potential Causes for Urban Concentration | 98 | ||
| 4.2.1 Economic Development | 98 | ||
| 4.2.2 Political Power | 100 | ||
| 4.2.3 Transportation Infrastructure | 100 | ||
| 4.3 Data | 101 | ||
| 4.3.1 Data Sources | 101 | ||
| 4.3.2 Alternative Measures of Urban Primacy | 104 | ||
| 4.4 Results | 109 | ||
| 4.4.1 Replicating Ades and Glaeser (1995) | 109 | ||
| 4.4.2 More Years of Data | 119 | ||
| 4.4.3 More Cities | 122 | ||
| 4.4.4 Other Concentration Measures | 125 | ||
| 4.4.5 Full Time Period, 1870-1990 | 126 | ||
| 4.4.6 Changes in Urban Concentration | 130 | ||
| 4.5 Conclusion | 133 | ||
| Chapter 5: Does History Matter for City Growth? The Case of Vienna | 136 | ||
| 5.1 Introduction | 136 | ||
| 5.2 The Dissolution of the Austro-Hungarian Empire | 137 | ||
| 5.3 First Evidence | 143 | ||
| 5.4 Probing Deeper | 145 | ||
| 5.4.1 Data and Methodology | 145 | ||
| 5.4.2 Is Vienna Too Large? | 149 | ||
| 5.4.3 Does Vienna's Primacy Fall Over Time? | 153 | ||
| 5.5 Conclusion | 158 | ||
| Appendix A: Comparing Zipf Exponents for Different Sample Sizes | 160 | ||
| Appendix Β: Examining the Robustness of Eaton and Eckstein's (1997) Results | 161 | ||
| Appendix C: Replicating Krugman and Livas Elizondo (1996) | 169 | ||
| Appendix D: Description of the Data | 171 | ||
| Appendix E: Construction of Openness Measure | 176 | ||
| References | 179 | ||
| Data Sources | 182 | ||
| Subject Index | 185 |