Sufficient Conditions Logic Maps as Alternative to Indicators: The Theory and the Italian Wellbeing Case

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Authors: Demetrio Miloslavo Bova
Cited by: 1
References: 34

Abstract

Abstract This paper introduces the Sufficient Conditions Logic Map (SCLM) as an alternative to traditional composite indicators for public decision-making. Unlike conventional indicators, which often rely on aggregation and weighting methods that introduce subjectivity and reductionism, SCLM employs the novel techniques of statistical sufficient conditions (SC) to construct a transparent and interpretable logic map of causal relationships among variables. We applied SCLM to 2024 Italian wellbeing data. The results suggest that happiness is directly enabled by education, institutional trust, sense of life, and climate responsibility, while standard development drivers such as income and health appear as indirect rather than primary levers of life satisfaction.

Fields of Study & Subjects

Urban Planning and Valuation Italian Social Issues and Migration Italy: Economic History and Contemporary Issues

Publication details

Journal / source
Journal of Happiness Studies
Publisher
Springer Science and Business Media LLC
Volume
27
Issue
6
Publication date
29 July 2026
Language
EN