Accounting and statistical analyses for sustainable development : multiple perspectives and information-theoretic complexity reduction | Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi

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Accounting and statistical analyses for sustainable development : multiple perspectives and information-theoretic complexity reduction

Lemke, Claudia - Personal Name;

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.

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Series Title: -
Call Number: 338.927 LEM a
Publisher: Wiesbaden : Springer Gabler., 2021
Collation: xxxi, 263p. : ill.
Language: English
ISBN/ISSN: 9783658332464
Classification: 338.927
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): Sustainable development
Specific Detail Info: -
Statement of Responsibility: by Claudia Lemke

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9783658332464
https://link.springer.com/book/10.1007/978-3-658-33246-4
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