An Industrial Agglomeration Approach to Central Place and City Size Regularities
An empirical regularity designated as the Number-Average Size (NAS) Rule was first identified for the case of Japan by Mori, Nishikimi and Smith , and has since been extended to the US by Hsu . This rule asserts a negative log-linear relation between the number and average population size of cities where a given industry is present, i.e., of industry-choice cities. Hence one of its key features is to focus on the presence or absence of industries in each city, rather than the percentage distribution of industries across cities. But despite the strong empirical regularity of this rule, there still remains the statistical question of whether such location patterns could simply have occurred by chance. In this paper an alternative approach to industry-choice cities is proposed. This approach utilizes the statistical procedure developed in Mori and Smith  to identify spatially explicit patterns of agglomeration for each industry. In this context, the desired industry-choice cities are taken to be those (economic) cities that constitute at least part of a significant spatial agglomeration for the industry. These cluster-based choice cities are then used to reformulate both the NAS Rule and the closely related Hierarchy Principle of Christaller . The key empirical result of the paper is to show that the NAS Rule not only continues to hold under this new definition, but in some respects is even stronger. The Hierarchy Principle is also shown to hold under this new definition. Finally, the present notion of cluster-based choice cities is also used to develop tests of both the locational diversity of industries and the industrial diversity of cities in Japan.
|Date of creation:||Dec 2009|
|Date of revision:|
|Contact details of provider:|| Postal: Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501|
Web page: http://www.kier.kyoto-u.ac.jp/eng/index.html
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tomoya Mori & Koji Nishikimi & Tony E. Smith, 2005.
"A Divergence Statistic for Industrial Localization,"
The Review of Economics and Statistics,
MIT Press, vol. 87(4), pages 635-651, November.
- Tomoya Mori & Koji Nishikimi & Tony E. Smith, 2004. "A Divergence Statistic for Industrial Localization," KIER Working Papers 587, Kyoto University, Institute of Economic Research.
- Takatoshi Tabuchi & Jacques-François Thisse, 2006.
"Regional specialization, urban hierarchy, and commuting costs,"
- Takatoshi Tabuchi & Jacques-François Thisse, 2006. "Regional Specialization, Urban Hierarchy, And Commuting Costs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(4), pages 1295-1317, November.
- TABUCHI, Takatoshi & THISSE, Jacques-François, 2003. "Regional specialization, urban hierarchy, and commuting costs," CORE Discussion Papers 2003060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Takatoshi Tabuchi & Jacques-Francois Thisse, 2003. "Regional Specialization, Urban Hierarchy, and Commuting Costs," CIRJE F-Series CIRJE-F-223, CIRJE, Faculty of Economics, University of Tokyo.
- TABUCHI, Takahoshi & THISSE, Jacques-François, . "Regional specialization, urban hierarchy, and commuting costs," CORE Discussion Papers RP 1967, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- MORI Tomoya & Tony E. SMITH, 2013.
"A Probabilistic Modeling Approach to the Detection of Industrial Agglomerations,"
13013, Research Institute of Economy, Trade and Industry (RIETI).
- Tomoya Mori & Tony E. Smith, 2014. "A probabilistic modeling approach to the detection of industrial agglomerations," Journal of Economic Geography, Oxford University Press, vol. 14(3), pages 547-588.
- Tomoya Mori & Tony E. Smith, 2009. "A Probabilistic Modeling Approach to the Detection of Industrial Agglomerations," KIER Working Papers 682, Kyoto University, Institute of Economic Research.
- Tomoya Mori & Koji Nishikimi & Tony E. Smith, 2008. "The Number-Average Size Rule: A New Empirical Relationship Between Industrial Location And City Size," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 165-211.
- Tomoya Mori & Tony E. Smith, 2009. "A Reconsideration of the NAS Rule from an Industrial Agglomeration Perspective," KIER Working Papers 669, Kyoto University, Institute of Economic Research.
- Henderson, J V, 1974.
"The Sizes and Types of Cities,"
American Economic Review,
American Economic Association, vol. 64(4), pages 640-56, September.
- Fujita, Masahisa & Krugman, Paul & Mori, Tomoya, 1999. "On the evolution of hierarchical urban systems1," European Economic Review, Elsevier, vol. 43(2), pages 209-251, February.
When requesting a correction, please mention this item's handle: RePEc:kyo:wpaper:687. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ryo Okui)
If references are entirely missing, you can add them using this form.