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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
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.
Keywords
- Sustainability
- Sustainable Development Goals (SDGs)
- Composite indicators
- Multilevel perspective
- Principal component analysis
- Information theory
- Open Access
Authors and Affiliations
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Berlin, Germany
Claudia Lemke
About the author
Dr. Claudia Lemke holds a doctorate degree in Sustainability Accounting and Management Control from the Technische Universität Berlin. She worked several years as a Senior Research Associate in the field of sustainability science and corporate sustainability. She is now employed as a Supply Chain Sustainability Manager and is responsible for driving sustainability in the FMCG industry.
Bibliographic Information
Book Title: Accounting and Statistical Analyses for Sustainable Development
Book Subtitle: Multiple Perspectives and Information-Theoretic Complexity Reduction
Authors: Claudia Lemke
Series Title: Sustainable Management, Wertschöpfung und Effizienz
DOI: https://doi.org/10.1007/978-3-658-33246-4
Publisher: Springer Gabler Wiesbaden
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2021
License: CC BY
Softcover ISBN: 978-3-658-33245-7Published: 31 March 2021
eBook ISBN: 978-3-658-33246-4Published: 30 March 2021
Series ISSN: 2523-8620
Series E-ISSN: 2523-8639
Edition Number: 1
Number of Pages: CCLXIII, 31
Number of Illustrations: 52 b/w illustrations
Topics: Environmental Economics