Abstract
Maintaining an adequate quality of life in rural areas is fundamental to expedite processes of endogenous development of these areas. Policies applied in this sense require information tools that take into account the multi-dimensionality of the concept of quality of life and enable quantitative assessments of well-being. One of the greatest problems found in literature is that of succeeding in conjugating the theoretical approaches of well-being with coherent measurement methodologies. The goal of this paper is to propose a methodology that identifies conditions of an unsatisfactory quality of life on the territorial level, combining the theory of capabilities of A. Sen with tools of fuzzy analysis. This methodology thus proves to coherently combine the theoretical principles for defining the indicators with mathematical tools suited for aggregating and assessing them, thereby making it possible to work around and evaluate them, and allowing us to go beyond the traditional limits of the proposed models, such as the assumptions of substitutability and linearity in concisely evaluating the components of well-being. Moreover, the advantages of this model also include those of being flexible and transparent, which means it can be applied in diversified socioeconomic contexts and can be verified by stakeholders in the course of its principal phases of realisation. This methodology has been applied to the rural townships of Tuscany. The results have permitted us to point out the main causes of social exclusion and the strong relationships between levels of well-being, as they have been defined, and phenomena of population decline.
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Notes
In literature, the terms ‘quality of life’ and ‘well-being’ have been used both as synonyms and to indicate different concepts. In consideration of the goals of this paper, we have resolved to use the two terms indistinctly as done by various authors and as observed in the review headed by Camfield and Skevington (2008).
Examples of composite indicators for the measurement of well-being are: the Happy Planet Index (NEF 2006) that measures sustainable well-being, or the Economic Living Standard Index proposed by the New Zealand government (Jensen et al. 2002); or the Bhutan GNH Index (Ura et al. 2012); the Genuine Progress Indicator (Talberth et al. 2007); the Index of Sustainable Economic Welfare (Daly and Cobb 1989); the Gallup-Healthways Well-Being Index (Gallup Healthways 2009); the Canadian Index of Wellbeing (2016); the Social Progress Index (Porter et al. 2015); the Child Well-being Index (Land et al. 2001, 2012).
For the sake of explanatory simplicity, we omit the indexing, i concerns the single area.
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Casini, L., Boncinelli, F., Contini, C. et al. A Multicriteria Approach for Well-Being Assessment in Rural Areas. Soc Indic Res 143, 411–432 (2019). https://doi.org/10.1007/s11205-018-1978-0
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DOI: https://doi.org/10.1007/s11205-018-1978-0
Keywords
- Fuzzy analysis
- Quality of life
- Rural development
- Sen’s theory of capabilities
- Well-being indicators
- Social exclusion