期刊
JOURNAL OF CLEANER PRODUCTION
卷 246, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.118884
关键词
Sustainability; Sustainable Development Goals; Composite indicators; Multilevel perspective; Principal component analysis; Information theory
To manage progress toward the Sustainable Development Goals (SDGs), sustainability indicators and indices are useful analytical tools. Indices proposed in the literature rarely comprise all three contentual domains of sustainable development (environment, society, and economy), fail to enable comparisons of agents at multiple levels, and exhibit methodological shortcomings. Comparability of micro, meso, and macro agents is crucial because the macro SDGs can only be achieved if micro and meso agents contribute. Contributions must be measured in a methodologically sound manner to avoid misled decision making. To overcome these deficiencies, we develop the comprehensive and comparable Multilevel Sustainable Development Index (MLSDI). A novel information-theoretic algorithm is shown to outperform established multivariate statistical weighting methods such as the principal component analysis (PCA). The application of the MLSDI to 62 industries in the German economy reveals that the chemical industry requires urgent action with regard to environmental performances, and the agricultural industry demands assistance and action in all three domains. (C) 2019 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据