EconPapers    
Economics at your fingertips  
 

Industry cluster: spatial density and optimal scale

Zheng Wang (), Changxin Liu and Kejing Mao

The Annals of Regional Science, 2012, vol. 49, issue 3, 719-731

Abstract: This paper studies the mechanism of industry cluster and revisits two cases of the Cambridge phenomenon. Based on the theoretical study and numeric simulation, the paper finds that: first, knowledge spillovers destroy normal Hotelling Process and lead to regional industry cluster. The density of cluster is inversely related to the damping of knowledge spillovers. Industry cluster is more likely to appear when the production cost is closer but still below the price of the product. Second, smaller companies are more likely to cluster than larger ones. Third, there is an optimal spatial scale, which is primarily determined by workers’ wage, land rent, and the supply-demand relationship of land. The scale of a cluster cannot develop freely. Finally, labor-intensive firms and high-tech firms with less demand of land are more inclined to cluster, while traditional giant firms are less likely to do so. Copyright Springer-Verlag 2012

Keywords: D21; L11; R12 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s00168-011-0452-6 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:anresc:v:49:y:2012:i:3:p:719-731

Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168

DOI: 10.1007/s00168-011-0452-6

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:anresc:v:49:y:2012:i:3:p:719-731