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

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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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Detail Information
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
Other version/related

No other version available

File Attachment
  • 9783658332464
    https://link.springer.com/book/10.1007/978-3-658-33246-4
    Other Resource Link
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