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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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Detail Information

Series Title

Sustainable Management, Wertschöpfung und Effizienz,

Call Number

-

Publisher

: Springer Nature., 2021

Collation

oer.unej.ac.id

Language

English

ISBN/ISSN

9783658332464

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Economics
Environmental Economics
KCVG Environmental economics

Specific Detail Info

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Statement of Responsibility

Lemke, Claudia

Other Information

Cataloger

-

Source

https://directory.doabooks.org/handle/20.500.12854/67979

Validator

Suwardi

Digital Object Identifier (DOI)

10.1007/978-3-658-33246-4

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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