TY - BOOK ID - 85776019 TI - Accounting and Statistical Analyses for Sustainable Development : Multiple Perspectives and Information-Theoretic Complexity Reduction. PY - 2021 SN - 3658332468 365833245X PB - Springer Nature DB - UniCat KW - Environmental economics KW - Environmental Economics KW - Sustainability KW - Sustainable Development Goals (SDGs) KW - Composite indicators KW - Multilevel perspective KW - Principal component analysis KW - Information theory KW - Open Access UR - https://www.unicat.be/uniCat?func=search&query=sysid:85776019 AB - 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. ER -