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dc.contributor.authorLemke, Claudia
dc.date.issued2021
dc.identifier.isbn978-3-658-33246-4
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/12317
dc.description.abstractIn this Open Access publication Claudia Lemke develops a comprehensive Multi-Level Sustainable Development Index (MLSDI) that is applicable to micro, meso, and macro objects by conducting methodological and empirical research. Multi-level comparability is crucial because the Sustainable Development Goals (SDGs) at macro level can only be achieved if micro and meso objects contribute. The author shows that a novel information-theoretic algorithm outperforms established multivariate statistical weighting methods such as the principal component analysis (PCA). Overcoming further methodological shortcomings of previous sustainable development indices, the MLSDI avoids misled managerial and political decision making.
dc.formatxxxi, 263 p. : ill.
dc.language.isoen
dc.publisherSpringer Gabler
dc.relation.ispartofseriesSustainable Management, Wertschöpfung und Effizienz
dc.subjectAccounting
dc.subjectStatistics
dc.subjectStatistical methods
dc.subjectSustainable development
dc.titleAccounting and statistical analyses for sustainable development multiple perspectives and information-theoretic complexity reduction
dc.typeBook


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