Accounting and statistical analyses for sustainable development: multiple perspectives and information-theoretic complexity reduction
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 w…
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- Full title :Accounting and statistical analyses for sustainable development : multiple perspectives and information-theoretic complexity reduction / Claudia Lemke.
Summary
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.
Read More ↓Edition Statements
- Publication Date:copyright 2021
Publication Statements
- Publisher(s):Springer Gabler
- Place of Publication:Wiesbaden
- Language:eng
- Publication Date:copyright 2021
The Physical Object
- Description:1 vol. (xxxi-263 p.) : : ill., graph., shémas. ; : 21 cm.
Edition Identifiers
- ISBN:9783658332457 (rel), 365833245X (rel)
- oclc:on1285508007
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