Many socio-economic phenomena have a multidimensional nature and require the definition of a set of individual indicators in order to be properly assessed. The application of a specific statistical technique, called composite index, allows to synthesize the phenomenon making it one-dimensional. One of the main problems in constructing composite indices is the choice of a method that enables to assess changes over time. According to this target, in the paper, we apply a variant of the Mazziotta- Pareto Index (MPI) which allows spatial and time comparisons across units to be made. An application to a set of individual indicators of environmental quality in Italian regions is presented and the reference years are 2006 and 2011. According to the selected indicators, the results show, for a five-year period, an improving trend of environmental quality in all Italian regions.

(2014). Composite Index for Measuring Italian Regions’ Environmental Quality Over Time [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/31671

Composite Index for Measuring Italian Regions’ Environmental Quality Over Time

2014-01-01

Abstract

Many socio-economic phenomena have a multidimensional nature and require the definition of a set of individual indicators in order to be properly assessed. The application of a specific statistical technique, called composite index, allows to synthesize the phenomenon making it one-dimensional. One of the main problems in constructing composite indices is the choice of a method that enables to assess changes over time. According to this target, in the paper, we apply a variant of the Mazziotta- Pareto Index (MPI) which allows spatial and time comparisons across units to be made. An application to a set of individual indicators of environmental quality in Italian regions is presented and the reference years are 2006 and 2011. According to the selected indicators, the results show, for a five-year period, an improving trend of environmental quality in all Italian regions.
2014
Lucarelli, C.; Mazziotta, M.; Talucci, V.; Ungaro, P.
File allegato/i alla scheda:
File Dimensione del file Formato  
3165-6519-1-PB.pdf

accesso aperto

Descrizione: publisher's version - versione dell'editore
Dimensione del file 94.9 kB
Formato Adobe PDF
94.9 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/31671
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact