A Partially Non-Compensatory Method to Measure the Smart and Sustainable Level of Italian Municipalities
Andrea Ciacci,
Enrico Ivaldi () and
Reyes González-Relaño
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Andrea Ciacci: Department of Economics—DIEC, University of Genoa, 16126 Genoa, Italy
Reyes González-Relaño: Department of Physical Geography and Regional Geographical Analysis, University of Seville, 41004 Sevilla, Spain
Sustainability, 2021, vol. 13, issue 1, 1-24
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.
Keywords: smart sustainable city; Italy; monitoring; DP 2 index; non-compensatory index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)
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