EconPapers    
Economics at your fingertips  
 

The Spatial Distribution of Economic Activities in Italy

Laura de Dominicis (), Giuseppe Arbia () and Henri de Groot ()
Additional contact information
Laura de Dominicis: VU University Amsterdam
Giuseppe Arbia: 'G. d'Annunzio' University, Pescara, Italy

No 07-094/3, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: Existing indices measuring the spatial distribution of economic activity such as the Krugman Specialisation Index, the Hirschmann-Herfindahl index and the Ellison-Glaeser index typically do not take into account the spatial structure of the data. In this paper, we first consider traditional measures of geographical concentration, and subsequently extend the analysis to take spatial dependence into account. Using data for Italy for the years 1991 and 2001, we apply exploratory spatial data analysis to identify sectoral location patterns in both the manufacturing industry as well as in services. We find that large differences prevail in the geographical concentration of production across sectors. The results of the exploratory spatial data analysis reveal the existence of well- defined clusters of economic activities.

Keywords: Exploratory Spatial Data Analysis; Geographic Concentration; Italy; Spatial Autocorrelation (search for similar items in EconPapers)
JEL-codes: C12 R12 R30 (search for similar items in EconPapers)
Date: 2007-12-03
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://papers.tinbergen.nl/07094.pdf (application/pdf)

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:tin:wpaper:20070094

Access Statistics for this paper

More papers in Tinbergen Institute Discussion Papers from Tinbergen Institute Contact information at EDIRC.
Bibliographic data for series maintained by Tinbergen Office +31 (0)10-4088900 ().

 
Page updated 2019-10-13
Handle: RePEc:tin:wpaper:20070094