9783658332464.pdf
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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Springer Nature
2021
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| Διαθέσιμο Online: | https://www.springer.com/9783658332464 |
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oapen-20.500.12657-48256 |
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oapen-20.500.12657-482562021-04-21T07:33:18Z Accounting and Statistical Analyses for Sustainable Development Lemke, Claudia Environmental Economics Sustainability Sustainable Development Goals (SDGs) Composite indicators Multilevel perspective Principal component analysis Information theory Open Access bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCN Environmental economics 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. 2021-04-20T12:48:31Z 2021-04-20T12:48:31Z 2021 book ONIX_20210420_9783658332464_41 9783658332464 https://library.oapen.org/handle/20.500.12657/48256 eng Sustainable Management, Wertschöpfung und Effizienz application/pdf Attribution 4.0 International 9783658332464.pdf https://www.springer.com/9783658332464 Springer Nature Springer Fachmedien Wiesbaden 10.1007/978-3-658-33246-4 10.1007/978-3-658-33246-4 6c6992af-b843-4f46-859c-f6e9998e40d5 f5e85b6c-dd8b-4bb3-a493-22723c79d368 cbed3676-ed99-44b4-9200-fdba737e83ec 9783658332464 Springer Fachmedien Wiesbaden 31 [grantnumber unknown] [grantnumber unknown] Technische Universität Berlin TU Berlin open access |
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OAPEN |
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English |
| description |
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. |
| title |
9783658332464.pdf |
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9783658332464.pdf |
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9783658332464.pdf |
| title_full |
9783658332464.pdf |
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9783658332464.pdf |
| title_sort |
9783658332464.pdf |
| publisher |
Springer Nature |
| publishDate |
2021 |
| url |
https://www.springer.com/9783658332464 |
| _version_ |
1771297582994161664 |
