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

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.

Ketersediaan
No Register No. Panggil Edisi Lokasi Status Detail
1 EB0004003 - - My Library Tersedia - Baik Detail
Informasi Detail
Pernyataan Tanggungjawab -
Pengarang Claudia Lemke - Nama Orang
Edisi -
No. Panggil -
ISBN/ISSN 978-3-658-33246-4
Subjek Environmental Economics
Sustainable Development Goals
Klasifikasi NONE
GMD Elektronik/Digital
Bahasa Inggris
Penerbit Springer Nature
Tahun Terbit 2020
Tempat Terbit Wiesbaden, Germany
Deskripsi Fisik 288 hlm.
Tipe Isi text
Tipe Media computer
Tipe Pembawa online resource
Judul Seri -
Info Detail Spesifik -
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