摘要：AbstractThe paper challenges the common view that the arithmetic mean aggregation's rule for building STI indicators is the fairest approach. We argue, on the contrary, that it hides a silent “substitution assumption” among the sub-indicators involved. According to this perspective Casadio and Palazzi (2004) provided a new composite indicator based on a “concave mean”. This approach overcomes the “substitution bias” generated by the arithmetic aggregation. As the concave mean is a highly non-linear formula, the paper provides a Sensitivity Analysis (as suggested by Saltelli et al., 2004) to detect sub-indexes importance in this special case. We perform an application to a specific STI indicator comparing results from the concave mean and other aggregation rules.
