The study proposes a measure of the well-being of Italian regions in terms of efficiency, considering simultaneously economic, social and environmental aspects. The paper suggests an integrated approach using Principal Components Analysis (PCA) and Activity Analysis (AA) to evaluate the equal and sustainable well-being (ESW) of Italian Regions for the years 2005 and 2010. The AA efficiency scores have been used to evaluate in a separate way the sustainable and economic development of regions. The analysis evidences that Italian regions do not show a suitable balance between economic and sustainable performance of well-being.

Il contributo propone una misura di benessere delle regioni italiane in termini di efficienza, considerando simultaneamente dimensioni economiche, sociali ed ambientali. Utilizzando un approccio integrato dell’analisi in componenti principali e dell’Activity Analysis, lo studio fornisce una misura di benessere in termini economici ed ambientali. L’analisi evidenzia una generalizzata incapacità delle regioni italiane di realizzare una buona performance economica ed ambientale.

Cracolici M.F., C.M. (2015). A PCA-AA approach to measure equal and sustainable well-being in the Italian Regions. In Statistics and Demography: the Legacy of Corrado Gini.

A PCA-AA approach to measure equal and sustainable well-being in the Italian Regions

Cracolici M. F.;Cuffaro M.;Lacagnina V.
2015-01-01

Abstract

The study proposes a measure of the well-being of Italian regions in terms of efficiency, considering simultaneously economic, social and environmental aspects. The paper suggests an integrated approach using Principal Components Analysis (PCA) and Activity Analysis (AA) to evaluate the equal and sustainable well-being (ESW) of Italian Regions for the years 2005 and 2010. The AA efficiency scores have been used to evaluate in a separate way the sustainable and economic development of regions. The analysis evidences that Italian regions do not show a suitable balance between economic and sustainable performance of well-being.
2015
Settore SECS-S/03 - Statistica Economica
Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.
9788867874521
Cracolici M.F., C.M. (2015). A PCA-AA approach to measure equal and sustainable well-being in the Italian Regions. In Statistics and Demography: the Legacy of Corrado Gini.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/285750
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