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The Balassa index meets the dissimilarity Theil index: a decomposition methodology for location studies

Authors: CUTRINI, ELEONORA;

The Balassa index meets the dissimilarity Theil index: a decomposition methodology for location studies

Abstract

It is well known that the broad concept of localisation has two connotations, namely, regional specialisation and industrial concentration. The main purpose of this paper is to introduce an entropy index of overall localisation suitable to conceptualise specialisation and concentration as the two sides of the same medal in a nested geographical perspective. The system of dissimilarity entropy measures is potentially applicable to the assessment of the spatial distribution of several economic phenomena when a twofold geographical level of analysis is considered. In the specific case, the decomposition provides an accurate method to quantify the cross-country divergence in localisation from the agglomeration within countries.

Country
Italy
Keywords

Localisation; concentration; specialisation; dissimilarity entropy index; within-between country decomposition, concentration, dissimilarity entropy index, localisation, specialisation, within-between country decomposition, jel: jel:L16, jel: jel:C43, jel: jel:R12, jel: jel:O18

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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