Accounting and statistical analyses for sustainable development : multiple perspectives and information-theoretic complexity reduction / Claudia Lemke.

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...

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Bibliographic Details
Main Author: Lemke, Claudia
Format: eBook
Language:English
Published: Wiesbaden : Springer Gabler, 2021.
Series:Sustainable management, Wertschöpfung und Effizienz,
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Online Access:Click for online access
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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. 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.
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9783658332464
3658332468
ISSN:2523-8620
Access:Open access.