Sectoral and Geographical Specificities in the Spatial Structure of Economic Activities

Giulio Bottazzi (), Giovanni Dosi (), Giorgio Fagiolo () and Angelo Secchi ()

LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy

Abstract: This work explores the spatial structure of location of production activities. We try to disentangle location- from sector-specific drivers in the dynamic process of spatial agglomeration. We argue that the former typically apply "horizontally" (i.e. across all industrial sectors), while the latter unfold in the form of non-decreasing dynamic returns to the current stock of installed business units. A stochastic model of location is developed and three different specifications are tested against Italian data on the location of manufacturing firms. Our results suggest that different locations exert different structural influences on the distribution of production activities. Moreover, a widespread horizontal power of "urbanization", which makes particular locations more attractive irrespectively of the sector, does emerge. However, after controlling for the latter, one is still left with sector-specific forms of dynamic increasing returns to agglomeration, which vary a lot across different manufacturing activities.

Keywords: Industrial Location; Agglomeration; Markov Chains; Dynamic Increasing Returns. (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo, nep-ino and nep-ure
Date: 2004-11-01
View list of references View citations in EconPapers

Downloads: (external link)
http://www.lem.sssup.it/WPLem/files/2004-21.pdf (application/pdf)

Related works:
Journal Article: Sectoral and geographical specificities in the spatial structure of economic activities (2008)
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: http://EconPapers.repec.org/RePEc:ssa:lemwps:2004/21

Access Statistics for this paper

More papers in LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy
Contact information at EDIRC.
Series data maintained by ().