Electronic Resource

Accounting and Statistical Analyses for Sustainable Development

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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

: Springer Fachmedien Wiesbaden., 2021

Collation

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Language

ISBN/ISSN

9783658332464

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Specific Detail Info

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Statement of Responsibility

laudia Lemke

Other Information

Cataloger

Siti Muawanah

Source

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Validator

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Digital Object Identifier (DOI)

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

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