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A Multicriteria Approach for Well-Being Assessment in Rural Areas

Author

Listed:
  • Leonardo Casini

    (University of Florence)

  • Fabio Boncinelli

    (University of Florence)

  • Caterina Contini

    (University of Florence)

  • Francesca Gerini

    (University of Florence)

  • Gabriele Scozzafava

    (University of Florence)

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.

Suggested Citation

  • Leonardo Casini & Fabio Boncinelli & Caterina Contini & Francesca Gerini & Gabriele Scozzafava, 2019. "A Multicriteria Approach for Well-Being Assessment in Rural Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 411-432, May.
    • Handle: RePEc:spr:soinre:v:143:y:2019:i:1:d:10.1007_s11205-018-1978-0
    DOI: 10.1007/s11205-018-1978-0
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    Cited by:

    1. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    2. Viccaro, Mauro & Romano, Severino & Prete, Carmelina & Cozzi, Mario, 2021. "Rural planning? An integrated dynamic model for assessing quality of life at a local scale," Land Use Policy, Elsevier, vol. 111(C).
    3. Giacalone, Massimiliano & Mattera, Raffaele & Nissi, Eugenia, 2022. "Well-being analysis of Italian provinces with spatial principal components," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    4. Aleksandra Tešin & Aleksandra S. Dragin & Maja Mijatov Ladičorbić & Tamara Jovanović & Zrinka Zadel & Tamara Surla & Kristina Košić & Juan Manuel Amezcua-Ogáyar & Alberto Calahorro-López & Boris Kuzma, 2024. "Quality of Life and Attachments to Rural Settlements: The Basis for Regeneration and Socio-Economic Sustainability," Land, MDPI, vol. 13(9), pages 1-19, August.

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    More about this item

    Keywords

    Fuzzy analysis; Quality of life; Rural development; Sen’s theory of capabilities; Well-being indicators; Social exclusion;
    All these keywords.

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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