Data Envelopment Analysis for Composite Indicators: A Multiple Layer Model

The development of a composite indicator (CI) over a set of individual indicators is worthwhile in case the methodological aggregation process is sound and the results are clear. It can then be used as a powerful tool for performance evaluation, benchmarking, and decision making. In this respect, da...

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Veröffentlicht in:	Social indicators research Jg. 114; H. 2; S. 739 - 756
Hauptverfasser:	Shen, Yongjun, Hermans, Elke, Brijs, Tom, Wets, Geert
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer 01.11.2013 Springer Netherlands Springer Nature B.V
Schlagworte:	Alcohols Budgeting Communication Composite indices Construction Data analysis Data envelopment analysis Death Decision Making Europe Evaluation Evaluation Problems Factor Analysis Hierarchies History, theory and methodology Human Geography Information behavior International organizations Light vehicles Linear programming Methodology Methodology (Data Analysis) Microeconomics Modeling Multilevel models Optimization techniques Performance evaluation Performance management Policy Analysis Power Principal components analysis Public Health Quality of Life Research Ratings & rankings Resource Allocation Road safety Roads & highways Safety Social indicators Social Sciences Sociology Speed Statistical analysis Sustainable Development Term weighting Traffic accidents & safety Europe Composite indicators Layered hierarchy Road safety performance evaluation Data envelopment analysis Evaluation Hierarchical Analysis Methodology Data Analysis Road safety Performance
ISSN:	0303-8300, 1573-0921
Online-Zugang:	Volltext
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