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Sustainable Development Goals indicators: a methodological proposal for a fuzzy Super Index in the Mediterranean area

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  • Margherita Casini

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  • Francesca Gagliardi

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  • Gianni Betti

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Abstract

This paper provides a methodological proposal for the construction of a multidimensional index for sustainability assessment in the context of the Sustainable Development Goals (SDGs) of the 2030 Agenda for Sustainable Development. In particular, the paper proposes a new methodology to properly estimate the multidimensional nature of sustainable development and the SDGs introducing an innovative fuzzy approach. Specifically, we present a multidimensional methodology to build a Super Index to measure the performance of the Mediterranean countries towards the SDGs with a focus on the agro-food sustainability in line with the Partnership for Research and Innovation in the Mediterranean Area (PRIMA). For this purpose, drawing on the fuzzy approach developed by Betti et al. (2015), a step by step procedure is provided in the paper: first the underlying dimensions of a set of selected indicators for the SDGs are identified through an exploratory factor analysis and then an innovative weighting methodology is applied for the aggregation of the indicators to calculate the countries’ scores for each dimension and finally the overall index.

Suggested Citation

  • Margherita Casini & Francesca Gagliardi & Gianni Betti, 2018. "Sustainable Development Goals indicators: a methodological proposal for a fuzzy Super Index in the Mediterranean area," Department of Economics University of Siena 782, Department of Economics, University of Siena.
  • Handle: RePEc:usi:wpaper:782
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    File URL: http://repec.deps.unisi.it/quaderni/782.pdf
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    References listed on IDEAS

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    1. Gianni Betti & Francesca Gagliardi & Vijay Verma, 2018. "Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty," International Statistical Review, International Statistical Institute, vol. 86(1), pages 68-86, April.
    2. Arnstein Aassve & Gianni Betti & Stefano Mazzuco & Letizia Mencarini, 2007. "Marital disruption and economic well‐being: a comparative analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 781-799, July.
    3. Gianni Betti, 2017. "Fuzzy measures of quality of life in Germany: a multidimensional and comparative approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 23-34, January.
    4. Gianni Betti & Antonella D’Agostino & Laura Neri, 2011. "Educational Mismatch of Graduates: a Multidimensional and Fuzzy Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(3), pages 465-480, September.
    5. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2015. "Comparative measures of multidimensional deprivation in the European Union," Empirical Economics, Springer, vol. 49(3), pages 1071-1100, November.
    6. Besma Belhadj, 2011. "A new fuzzy unidimensional poverty index from an information theory perspective," Empirical Economics, Springer, vol. 40(3), pages 687-704, May.
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    Cited by:

    1. Ilaria Benedetti & Federico Crescenzi & Tiziana Laureti, 2020. "Measuring Uncertainty for Poverty Indicators at Regional Level: The Case of Mediterranean Countries," Sustainability, MDPI, Open Access Journal, vol. 12(19), pages 1-19, October.
    2. Martina Ciani & Francesca Gagliardi & Samuele Riccarelli & Gianni Betti, 2018. "Fuzzy Measures of Multidimensional Poverty in the Mediterranean Area: A Focus on Financial Dimension," Sustainability, MDPI, Open Access Journal, vol. 11(1), pages 1-13, December.

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    More about this item

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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