Abstract

Implementing the complex Agenda 2030, with its high global Sustainable Development Goals (SDGs) requires, in the by now short time horizon of reference, an extraordinary effort, at institutional, private and individual levels, to converge effectively on the whole system of intermediate and interrelated targets. At the same time, it is necessary to ensure financial long term balances in public and private sectors. Sustainable Finance (ESG criteria, Impact Investing,..) is absolutely central to achieve Sustainability Goals, net of deviant greenwashing phenomena.
The comparative study of the main institutional frameworks and enterprises reporting ones, concerning the multiple and complex dimensions of Sustainability, demonstrates how ESG criteria are suitable to allow the development of an integrated analysis model for goals, targets and indicators currently in use. The model may help to converge effectively on the SDGs and to implement and evaluate coherent public and enterprise’s policies paying attention to realistic sustainability reports at all levels.
The study shows the results achieved by comparing these frameworks through the proposed classification, based on the individual E-S-G criteria and on their possible combinations (ES-EG-SG-ESG) and quantifies the weight of the singular E-S-G drivers and of their combinations for each framework considered and through them altogether, highlighting interesting areas of correlations between drivers.
The adopted methodology consists in defining multiple analytical partitions of the frameworks examined, to produce a classification of the individual elements identified (goals-dimensions-targets-855 indicators), based on ESG criteria and to represent them into multidimensional matrixes.
The need to estimate a correlation matrix of all elements considered is the main challenge for collecting new Data and new Measurement Systems at institutional level, in order to correctly estimate a correlation ESG matrix, for subsequently defining an integrated materiality matrix comprehensive of risk sustainability factors and financial ones, suitable for global statistical production and decision making processes.