A Measure of Well-Being Across the Italian Urban Areas: An Integrated DEA-Entropy Approach

Eugenia Nissi () and Annalina Sarra ()
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Eugenia Nissi: University “G.d’Annunzio” of Chieti-Pescara
Annalina Sarra: University “G.d’Annunzio” of Chieti-Pescara

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2018, vol. 136, issue 3, No 17, 1183-1209

Abstract: Abstract In recent years, there has been an increasing proliferation of initiatives focusing on the concept of quality of life and well-being. At the centre of these studies there is the recognizing that the GDP offers only a partial perspective of factors affecting people’s lives. Following this line of the research, this paper is aimed at computing the well-being efficiencies of a sample of Italian Province capital cities, using a methodological approach that combines data envelopment analysis (DEA) with Shannon’s entropy formula. To avoid subjectivity in choosing a representative set of variables that proxy the phenomenon under study, we rely on the theoretical framework adopted by the Italian National Institute of Statistics (ISTAT) within the equitable and sustainable well-being (BES) project. The dashboard of indicators included in the analysis are related to the Ur-BES initiative, promoted by ISTAT to implement the BES framework at cities level. In a first step of the analysis, an immediate focus on separate dimensions of urban well-being is obtained by summarizing the plurality of available indicators through the building of composite indices. Next, the adopted integrated DEA–Shannon entropy approach has permitted to increase the discriminatory power of DEA procedure and attain a more reliable profiling of Italian Province capital cities well-being efficiencies. The results show a marked duality between the Northern and Southern cities, highlighting important differences in many aspects of human and ecosystem well-being.

Keywords: Well-being; Composite indicators; Data envelopment analysis (DEA); Shannon’s entropy; Benchmarking; Italy (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (17)

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DOI: 10.1007/s11205-016-1535-7

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