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Partial Order Algorithms for the Assessment of Italian Cities Sustainability

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  • Arcagni, Alberto
  • Cavalli, Laura
  • Fattore, Marco

Abstract

In this paper, we introduce some recent non-aggregative algorithms, for the construction of synthetic indicators on multi-indicators systems, and exemplify them on data pertaining to the sustainability of main Italian cities. The procedure employs tools from Partial Order Theory and computes the final synthetic scores, without the compensation effects of classical composite indicators, so better preserving the nuances of city sustainability. Since turning multi-indicator systems into single synthetic indicators is unavoidably forcing, the procedure provides also ways to assess the degrees of “rankability” of statistical units, so to help researchers evaluating the soundness of the synthesis process. The algorithms introduced in the paper can be easily implemented, using the package Parsec, freely available in the R ecosystem.

Suggested Citation

  • Arcagni, Alberto & Cavalli, Laura & Fattore, Marco, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," FEEM Working Papers 309036, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemwp:309036
    DOI: 10.22004/ag.econ.309036
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    References listed on IDEAS

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    1. Lars Carlsen & Rainer Bruggemann, 2017. "Fragile State Index: Trends and Developments. A Partial Order Data Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 1-14, August.
    2. Alberto Arcagni & Elisa Barbiano di Belgiojoso & Marco Fattore & Stefania M. L. Rimoldi, 2019. "Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy, Using Partially Ordered Sets and Self-Organizing Maps," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 551-579, January.
    3. Paola Annoni & Marco Fattore & Rainer Brüggemann, 2008. "A multi-criteria fuzzy approach for analyzing poverty structure," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1072, Universitá degli Studi di Milano.
    4. Marco Fattore & Alberto Arcagni, 2018. "A Reduced Posetic Approach to the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1053-1070, April.
    5. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    6. Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.
    7. Badinger, Harald & Reuter, Wolf Heinrich, 2015. "Measurement of fiscal rules: Introducing the application of partially ordered set (POSET) theory," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 108-123.
    8. Lars Carlsen, 2017. "An Alternative View on Distribution Keys for the Possible Relocation of Refugees in the European Union," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 1147-1163, February.
    9. Agnese Maria Brisco & Patrizia Farina, 2018. "Measuring Gender Gap from a Poset Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1109-1124, April.
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    Cited by:

    1. Jean J. Gabszewicz & Marco A. Marini & Skerdilajda Zanaj, 2023. "Random encounters and information diffusion about product quality," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(2), pages 348-376, April.
    2. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.

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