Are Spatial Networks of Firms Random? Evidence from Vietnam
We present a new approach for the empirical investigation of agglomeration patterns. We examine the clustering of manufacturing firms by identifying patterns of spatial network formation that deviate from randomly generated networks. Using firm-level panel data from Vietnam we calculate transitivity, a measure to determine the strength of clustering of manufacturing firms. We then test whether the observed clustering of firms is greater than that of a randomly generated network. Our findings suggest that the extent of clustering is over and above that which can be attributed to the legal and regulatory framework, economic zoning, or population patterns.
|Date of creation:||2011|
|Date of revision:|
|Contact details of provider:|| Postal: Katajanokanlaituri 6B, 00160 Helsinki|
Web page: http://www.wider.unu.edu/
More information through EDIRC
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.:
- James R. Markusen & Anthony J. Venables, 1997.
"Foreign Direct Investment as a Catalyst for Industrial Development,"
NBER Working Papers
6241, National Bureau of Economic Research, Inc.
- Markusen, James R. & Venables, Anthony J., 1999. "Foreign direct investment as a catalyst for industrial development," European Economic Review, Elsevier, vol. 43(2), pages 335-356, February.
When requesting a correction, please mention this item's handle: RePEc:unu:wpaper:wp2011-87. 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: (Bruck Tadesse)
If references are entirely missing, you can add them using this form.