Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/86613
Authors: 
de Dominicis, Laura
Arbia, Giuseppe
de Groot, Henri L.F.
Year of Publication: 
2007
Series/Report no.: 
Tinbergen Institute Discussion Paper 07-094/3
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.
Subjects: 
Exploratory Spatial Data Analysis
Geographic Concentration
Italy
Spatial Autocorrelation
JEL: 
C12
R12
R30
Document Type: 
Working Paper

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