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A Partially Non-Compensatory Method to Measure the Smart and Sustainable Level of Italian Municipalities

Author

Listed:
  • Andrea Ciacci

    (Department of Economics—DIEC, University of Genoa, 16126 Genoa, Italy
    Centro de Investigaciones en Econometría—CIE, University of Buenos Aires, Buenos Aires C1113 CABA, Argentina)

  • Enrico Ivaldi

    (Centro de Investigaciones en Econometría—CIE, University of Buenos Aires, Buenos Aires C1113 CABA, Argentina
    Department of Political Science—DISPO, University of Genoa, 16125 Genoa, Italy
    C.I.E.L.I., the Italian Center of Excellence on Logistics Transports and Infrastructures, University of Genoa, 16126 Genoa, Italy)

  • Reyes González-Relaño

    (Department of Physical Geography and Regional Geographical Analysis, University of Seville, 41004 Sevilla, Spain)

Abstract

A smart sustainable city (SSC) is a paradigm that encapsulates the latest lines of development in multiple fields of research. The attempt to converge towards a model of sustainable urban life, made difficult by increasing anthropic pressure and polluting activities conducted by man, is also reflected in the intentions of public institutions to take measures of environmental risk mitigation. The change towards more liveable cities must also include the adoption of more far-reaching measures in various sectors. The objective of our work was to provide an analysis in order to assess which of the Italian provincial municipalities were most closely related to the paradigm of SSCs. This aim was pursued through a comparison based on the results of a partially non-compensatory quantitative method, known as the Pena’s Distance method ( DP 2). The smartest and most sustainable cities, such as Siena, Milan and Padua, were not identified on the basis of common urban characteristics but rather derived from the combination of distinctive and functional elements in the pursuit of a strategic approach aimed at fully exploiting the resources of each area. Moreover, at a macro-geographical level, from the analysis emerged the presence of contiguous clusters, i.e., areas in which a major concentration of smart sustainable municipalities tended to form.

Suggested Citation

  • Andrea Ciacci & Enrico Ivaldi & Reyes González-Relaño, 2021. "A Partially Non-Compensatory Method to Measure the Smart and Sustainable Level of Italian Municipalities," Sustainability, MDPI, vol. 13(1), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:435-:d:475243
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    2. Arianna Carciotto, 2023. "Experimental Statistics: a New Common Language for Uncommon Data," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 77(4), pages 256-269, October-D.
    3. María Julieta Arias & Pablo Andrés Vaschetto & Mercedes Marchese & Luciana Regaldo & Ana María Gagneten, 2022. "Benthic Macroinvertebrates and Zooplankton Communities as Ecological Indicators in Urban Wetlands of Argentina," Sustainability, MDPI, vol. 14(7), pages 1-21, March.

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