In the present study a methodology integrating geographic information systems and multivariate statistics was illustrated with the aim to provide a measure of sustainable development at the local scale. The Factor Weighting Model (FWM) originally proposed by Salvati and Zitti (2008) was used to compose 99 variables (relevant to different research domains such as economic structure, labour market, population dynamics, social characteristics, agriculture and environment) into an index of sustainable development at the municipality scale in a rich but polarized European country (Italy). A Principal Components Analysis has been carried out to explore the relationship among indicators and to estimate their contribution to an a priori defined sustainability target by way of an objective weighting system. Labour market, income and wealth, population dynamics and social structure accounted for the highest weights. The derived index of sustainable development shows a spatially complex distribution in Italy with a marked north-south gradient reflecting the classical socioeconomic disparities observed between competitive and disadvantaged regions. Results can be used as an informative base to implement sustainability policies in countries characterized by persistent socioeconomic disparities. (C) 2014 Elsevier Ltd. All rights reserved.
A composite index of sustainable development at the local scale: Italy as a case study / Salvati, Luca; Carlucci, Margherita. - In: ECOLOGICAL INDICATORS. - ISSN 1470-160X. - STAMPA. - 43:(2014), pp. 162-171. [10.1016/j.ecolind.2014.02.021]
A composite index of sustainable development at the local scale: Italy as a case study
Luca Salvati;CARLUCCI, Margherita
2014
Abstract
In the present study a methodology integrating geographic information systems and multivariate statistics was illustrated with the aim to provide a measure of sustainable development at the local scale. The Factor Weighting Model (FWM) originally proposed by Salvati and Zitti (2008) was used to compose 99 variables (relevant to different research domains such as economic structure, labour market, population dynamics, social characteristics, agriculture and environment) into an index of sustainable development at the municipality scale in a rich but polarized European country (Italy). A Principal Components Analysis has been carried out to explore the relationship among indicators and to estimate their contribution to an a priori defined sustainability target by way of an objective weighting system. Labour market, income and wealth, population dynamics and social structure accounted for the highest weights. The derived index of sustainable development shows a spatially complex distribution in Italy with a marked north-south gradient reflecting the classical socioeconomic disparities observed between competitive and disadvantaged regions. Results can be used as an informative base to implement sustainability policies in countries characterized by persistent socioeconomic disparities. (C) 2014 Elsevier Ltd. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.