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Accounting and Statistical Analyses for Sustainable Development

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...

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Hovedforfatter: Lemke, Claudia
Format: Online
Sprog:engelsk
Udgivet: Springer Nature 2021
Fag:
Environmental Economics
Sustainability
Sustainable Development Goals (SDGs)
Composite indicators
Multilevel perspective
Principal component analysis
Information theory
Open Access
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
Online adgang:ONIX_20210420_9783658332464_41
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Summary: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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