Accounting and statistical analyses for sustainable development : multiple perspectives and information-theoretic complexity reduction
Author(s)
Bibliographic Information
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
Available at 2 libraries
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
Introduction.- Conceptual framework of sustainable development.- Measuring and assessing contributions to sustainable development.- Methodology.- Empirical fndings.- Discussion and conclusion
by "Nielsen BookData"