FEEM working papers "Note di lavoro"
Date: 2/2/2021

Partial order algorithms for the assessment of italian cities sustainability

Alberto Arcagni (University of Rome La Sapienza); Laura Cavalli (Fondazione Eni Enrico Mattei); Marco Fattore (University of Milano-Bicocca)
JEL n.: C14, C43, D81
Keywords: Partially Ordered Set, Syntethic Indcators, Multi-indicator Systems


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: A. Arcagni, L. Cavalli, M. Fattore, (2021), 'Partial order algorithms for the assessment of italian Cities sustainability', Nota di Lavoro 1.2021, Milano, Italy: Fondazione Eni Enrico Mattei

Download file
Download file

FEEM Newsletter & Update

Subscribe to stay connected.

Your data will be processed by FEEM - Eni Enrico Mattei Foundation - Data Controller - to receive the Foundation's Newsletter & Update via e-mail. To send the requested information, the Data Controller uses e-mail sending service providers established in the U.S.A .: for this, your consent to the transfer of your email address to the U.S.A. is required, without which it will not be possible to comply with your request. We invite you to consult the complete information to obtain detailed information to protect your rights.