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Accounting and Statistical Analyses for Sustainable Development: Multiple Perspectives and Information-Theoretic Complexity Reduction

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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

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Call Number

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Publisher

Wiesbaden : Springer Gabler Wiesbaden., 2021

Collation

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Language

English

ISBN/ISSN

978-3-658-33246-4

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Economics and Finance

Specific Detail Info

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Statement of Responsibility

Claudia Lemke

Other Information

Cataloger

Kholif Basri

Source

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

Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-658-33246-4

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