The concept of well-being has evolved over the last decades and a multidisciplinary literature has acknowledged the multidimensional nature of this phenomenon that encompasses diferent key dimensions. To give concise measure of well-being, methodologies based on composite indices assume relevance, for their capability to summarize the multidimensional issues, rank the units and provide interesting analysis tools. This paper intends to make a contribution to the eforts of assessing human and ecosystem well-being in the Italian urban areas, by appreciating the spatial dimension of the elementary indicators involved in the building process of the composite indicator. To this end, we derive a set of local weights refecting the spatial variability of data through the Geographically Weighted PCA. Then, the analysis proceeds by employing a unitary-input DEA model, also known as Beneft of Doubt approach, as a benchmarking tool for constructing a spatial composite indicator to evaluate the well-being in the Italian urban areas. In such way, we can take local peculiarities into account and identify the best performing cities to follow as examples of good administrative practices for promoting urban well-being. The approach followed in this specifc study is applied empirically with data from the Urban ‘Equitable and Sustainable Well-Being” (Ur-Bes) project, proposed by ISTAT

A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas

Sarra, Annalina
;
Nissi, Eugenia
2020

Abstract

The concept of well-being has evolved over the last decades and a multidisciplinary literature has acknowledged the multidimensional nature of this phenomenon that encompasses diferent key dimensions. To give concise measure of well-being, methodologies based on composite indices assume relevance, for their capability to summarize the multidimensional issues, rank the units and provide interesting analysis tools. This paper intends to make a contribution to the eforts of assessing human and ecosystem well-being in the Italian urban areas, by appreciating the spatial dimension of the elementary indicators involved in the building process of the composite indicator. To this end, we derive a set of local weights refecting the spatial variability of data through the Geographically Weighted PCA. Then, the analysis proceeds by employing a unitary-input DEA model, also known as Beneft of Doubt approach, as a benchmarking tool for constructing a spatial composite indicator to evaluate the well-being in the Italian urban areas. In such way, we can take local peculiarities into account and identify the best performing cities to follow as examples of good administrative practices for promoting urban well-being. The approach followed in this specifc study is applied empirically with data from the Urban ‘Equitable and Sustainable Well-Being” (Ur-Bes) project, proposed by ISTAT
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11564/725171
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