Partial Order Algorithms for the Assessment of Italian Cities Sustainability

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Paper ; No. 001.2021

Classification and Topics

• Classification: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Index Numbers and Aggregation; Leading indicators ; Criteria for Decision-Making under Risk and Uncertainty
• Subject: Partially Ordered Set ; Syntethic Indcators ; Multi-indicator Systems

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Arcagni, Alberto ; Cavalli, Laura ; Fattore, Marco
• Event: Veröffentlichung
• (who): Fondazione Eni Enrico Mattei (FEEM)
• (where): Milano
• (when): 2021

Further information

• Handle: http://hdl.handle.net/10419/233086
• Last update: 10.03.2025, 11:42 AM CET