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Statistical assessment of regional wealth inequalities: the Italian case

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Abstract

This paper discusses region wealth size distributions, through their member cities aggregated tax income. As an illustration, the official data of the Italian Ministry of Economics and Finance has been considered, for all Italian municipalities, over the period 2007–2011. Yearly data of the aggregated tax income is transformed into a few indicators: the Gini, Theil, and Herfindahl–Hirschman indices. On one hand, the relative interest of each index is discussed. On the other hand, numerical results confirm that Italy is divided into very different regional realities, a few which are specifically outlined. This shows the interest of transforming data in an adequate manner and of comparing such indices.

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Notes

  1. The display of the distribution characteristics of these cities for the 110 provinces would obviously request 110 Tables (or Figures). They are not given here, but any province case can be available from the authors—upon request.

  2. Thereafter, the word “financial” is dropped out.

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Acknowledgments

This paper is part of scientific activities in COST Action IS1104, “The EU in the new complex geography of economic systems: models, tools and policy evaluation”

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Correspondence to Roy Cerqueti.

Appendix

Appendix

This Appendix contains the discussed economic indices of the 20 regional cases, in Tables 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 and 23.

Table 4 Various characteristics of the ATI data for Abruzzo as a function of time; \(N=\) 305
Table 5 Various characteristics of the ATI data for Aosta Valley as a function of time; \(N=\) 74
Table 6 Various characteristics of the ATI data for Basilicata as a function of time; \(N=\) 131
Table 7 Various characteristics of the ATI data for Calabria as a function of time; \(N=\) 409
Table 8 Various characteristics of the ATI data for Campania as a function of time; \(N=\) 551
Table 9 Various characteristics of the ATI data for Emilia Romagna as a function of time; \(N=\) 341 in 2007, and 348 next
Table 10 Various characteristics of the ATI data for Friuli Venetia Giulia a function of time; \(N\) depends on year. It is 219 in 2007, and 218 next
Table 11 Various characteristics of the ATI data for Lazio as a function of time; \(N=\) 378
Table 12 Various characteristics of the ATI data for Liguria as a function of time; \(N=\) 235
Table 13 Various characteristics of the ATI data for Lombardia as a function of time; \(N=\) 1,546 in 2007–2009, and becomes 1,544 next
Table 14 Various characteristics of the ATI data for Marche as a function of time; \(N=\) 239
Table 15 Various characteristics of the ATI data for Molise as a function of time; \(N=\) 136
Table 16 Various characteristics of the ATI data for Piemonte as a function of time; \(N= 1206\)
Table 17 Various characteristics of the ATI data for Puglia as a function of time; \(N=258\)
Table 18 Various characteristics of the ATI data for Sardegna as a function of time; \(N= 377\)
Table 19 Various characteristics of the ATI data for Sicilia as a function of time; \(N= 390\)
Table 20 Various characteristics of the ATI data for Toscana as a function of time; \(N= 287\)
Table 21 Various characteristics of the ATI data for Trentino Alto Adige as a function of time; \(N=333\)
Table 22 Various characteristics of the ATI data for Umbria as a function of time; \(N= 92\)
Table 23 Various characteristics of the ATI data for Veneto as a function of time; \(N= 581\)

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Cerqueti, R., Ausloos, M. Statistical assessment of regional wealth inequalities: the Italian case. Qual Quant 49, 2307–2323 (2015). https://doi.org/10.1007/s11135-014-0111-y

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