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CPS1866 Milica Maricic et al.
            where k is the number of indicators in the composite indicators. After each
            exclusion, the rank of entities  R k h   is obtained. In the third step the Spearman

            correlation  coefficients  between  the  R  and  all  R k h   are  obtained.  If  the
                                                    k
            Spearman correlation coefficient is close to 1 that indicates that an indicator
            can be removed. As a stopping rule Marozzi (2009) suggests when the value
            of Spearman correlation coefficient drops below 0.9 and 0.8.
                 For  example,  Markovic  et  al.  (2016)  proposed  a  post  hoc  I-distance
            approach to reduce the number of indicators which make the OECD Better life
            index.  Their  approach  is  based  on  the  I-distance  method,  a  multivariate
            statistical  analysis  which  is  able  to  synthetize  indicators  without  assigning
            weights (Ivanovic, 1977). The method stands out as attempts to minimize the
            duplicity of information (Jeremic et al.). The post hoc I-distance undermines
            the application of I-distance and removal of the least important variable for
            the ranking process after each iteration. The importance of the variable for the
            ranking process was measured through the coefficient of determination.
                 This literature review should indicate that the dimension reduction and
            framework  reduction  is  a  topic  of  high  interest  in  the  field  of  composite
            indicators and that statistical methodologies have so far been employed with
            a lot of success to solve the issue.

            3.  Methodology
            3.1 Sustainable Society Index (SSI)
                Sustainable  Society  Index  (SSI)  is  a  multi-layered  composite  indicator
            consisted of 21 indicators divided into seven categories which make  three
            dimensions:  Human  wellbeing,  Environmental  wellbeing,  and  Economic
            wellbeing. In our research, we focused solely  on indicator  data. The list of
            indicators which are used to compute the SSI are listed in Table 1. For more
            information  on  the  description  of  the  indicators  please  consult  the  official
            framework description (SSI, 2018).
                The  structure  of  the  SSI  is  based  on  three  pillars  of  sustainability  as
            suggested  in  the  Brundtland  report  (1987):  Human,  Economic,  and
            Environmental pillar. Kaivo-oja et al. (2014) observe that the structure of the
            SSI is therefore quite conventional. The Joint Research Centre (JRC) conducted
            an audit of the SSI in 2012 (Saisana & Philippas, 2012) and stated that there is
            conceptual coherence of the structure of the SSI, that there are few imbalances
            within categories, that the marginal weights do not differ too much and that
            the ranking is robust. On the other hand, there are studies which showed that
            the SSI could be modified. Maricic et al. (2014) used the I-distance method
            and  provided  an  alternative  ranking  of  the  countries  based  on  the  SSI
            indicators which is free from weights. Savic et al. (2016) attempted to revise
            the number of indicator within the SSI using the post hoc I-distance. They

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