Accounting and statistical analyses for sustainable development : multiple perspectives and information-theoretic complexity reduction
著者
書誌事項
Accounting and statistical analyses for sustainable development : multiple perspectives and information-theoretic complexity reduction
（Sustainable Management, Wertschöpfung und Effizienz / G. Weber, M. Bodemann, R. Schmidpeter, series editors）（Research）
Springer Gabler, c2021
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注記
Includes bibliographical references
内容説明・目次
内容説明
In 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.
目次
Introduction.- Conceptual framework of sustainable development.- Measuring and assessing contributions to sustainable development.- Methodology.- Empirical fndings.- Discussion and conclusion
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