Konferenzbeitrag

Spatial patterns and size distributions of cities

City size distributions are known to be well approximated by power laws across many countries. One popular explanation for such power-law regularities is in terms of random growth processes, where power laws arise asymptotically from the assumption of iid growth rates among all cities within a given country. But this assumption has additional consequences. Since all subsets of cities have the same statistical properties, each subset must exhibit essentially the same power law. Moreover, this common power law (CPL) property must hold regardless of the spatial relations among cities. Using data from the US, this paper shows first that spatial partitions of cities based on geographical proximity are significantly more consistent with the CPL property than are random partitions. It is then shown that this significance becomes even stronger when proximity among cities is measured in terms of trade linkages rather than simple geographical distance. These results provide compelling evidence that spatial relations between cities do indeed matter for city-size distributions. Further analysis shows that these results hinge on the natural "spacing out" property of city patterns in which larger cities tend to be widely spaced apart with smaller cities organized around them.

Sprache
Englisch

Erschienen in
Series: 54th Congress of the European Regional Science Association: "Regional development & globalisation: Best practices", 26-29 August 2014, St. Petersburg, Russia

Klassifikation
Wirtschaft
Econometric and Statistical Methods: Special Topics: Other
Industry Studies: Manufacturing: General
Size and Spatial Distributions of Regional Economic Activity
Land Use Patterns

Ereignis
Geistige Schöpfung
(wer)
Mori, Tomoya
Hsu, Wen-Tai
Smith, Tony E.
Ereignis
Veröffentlichung
(wer)
European Regional Science Association (ERSA)
(wo)
Louvain-la-Neuve
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Mori, Tomoya
  • Hsu, Wen-Tai
  • Smith, Tony E.
  • European Regional Science Association (ERSA)

Entstanden

  • 2014

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