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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Social indicators research Ročník 114; číslo 2; s. 739 - 756
Hlavní autoři: Shen, Yongjun, Hermans, Elke, Brijs, Tom, Wets, Geert
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer 01.11.2013
Springer Netherlands
Springer Nature B.V
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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, data envelopment analysis (DEA), as a self appraisal technique, has recently received considerable attention in the construction of CIs for policy analysis and public communication. However, due to the ever increasing complexity of numerous performance evaluation problems, more and more potential indicators might be developed to represent an evaluation activity in a more comprehensive way. These indicators might also belong to different categories and further be linked to one another constituting a multilayer hierarchical structure. Simply treating all the indicators to be in the same layer as is the case in the basic DEA model thereby ignores the information on their hierarchical structure, and further leads up to weak discriminating power and unrealistic weight allocations. To overcome this limitation, a multiple layer DEA-based CI model is developed in this study to embody a hierarchical structure of indicators in the DEA framework, and both its primal and dual form are realized. The proposed model is illustrated by constructing a composite road safety performance index for a set of European countries.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:0303-8300
1573-0921
DOI:10.1007/s11205-012-0171-0