Abstract
Within the "BES’ Provinces" Project this work aims to compare different synthesis techniques of elementary indicators for each BES domain. Firstly, 41 elementary indicators are selected from the original dataset of 88 indicators, available for the year 2014, which guarantee robustness, reliability and relevance in accordance with the BES meaning. Motivated by the debate on the need to summarize the information arising from a large set of variables, in this paper we discuss three different aggregation methods: the Adjusted Mazziotta-Pareto Index, the arithmetic mean weighted by the Gini coefficients of the elementary indicators and a mixed approach based on the two.