論文

査読有り
2014年5月

A probabilistic modeling approach to the detection of industrial agglomerations

JOURNAL OF ECONOMIC GEOGRAPHY
  • Tomoya Mori
  • ,
  • Tony E. Smith

14
3
開始ページ
547
終了ページ
588
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1093/jeg/lbs062
出版者・発行元
OXFORD UNIV PRESS

Dating from the seminal work of Ellison and Glaeser in 1997, a wealth of evidence for the ubiquity of industrial agglomerations has been published. However, most of these results are based on analyses of single (scalar) indices of agglomeration. Hence, it is not surprising that industries deemed to be similar by such indices can often exhibit very different patterns of agglomeration-with respect to the number, size and spatial extent of individual agglomerations. The purpose of this article is thus to propose a more detailed spatial analysis of agglomeration in terms of multiple-cluster patterns, where each cluster represents a (roughly) convex set of contiguous regions within which the density of establishments is relatively uniform. The key idea is to develop a simple probability model of multiple clusters, called cluster schemes, and then to seek a 'best' cluster scheme for each industry by employing a standard model-selection criterion. Our ultimate objective is to provide a richer characterization of spatial agglomeration patterns that will allow more meaningful comparisons of these patterns across industries.

Web of Science ® 被引用回数 : 14

リンク情報
DOI
https://doi.org/10.1093/jeg/lbs062
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000335216600003&DestApp=WOS_CPL

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