Accounting and Statistical Analyses for Sustainable Development

Claudia Lemke

ISBN 10: 365833245X / ISBN 13: 9783658332457

Published by Springer Fachmedien Wiesbaden Mrz 2021, 2021

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 296 pp. Englisch.

Seller Inventory # 9783658332457

Bibliographic Details

• Title: Accounting and Statistical Analyses for Sustainable Development
• Publisher: Springer Fachmedien Wiesbaden Mrz 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 365833245X
• ISBN 13: 9783658332457
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 17D millimeters 210 millimeters width by 148 millimeters height by 17 millimeters depth
• Weight: 386 grams

About this title

Synopsis

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.