Fuzzy evaluations applied in analysis of infrastructure development based on national competitiveness perspectives

Policy makers often need to determine which key projects should be prioritised for national infrastructure investment. In this light, this research uses the evaluating indicators for infrastructure as found in the World Competitiveness Yearbook and proposes a leading and lagging fuzzy score graphics...

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Bibliographic Details
Published in:Journal of economic policy reform 2014-04, Vol.17 (2), p.178-200
Main Author: Wang, Shih- Hsu
Format: Article
Language:English
Subjects:
clustering analysis
Competitiveness
Economic indicators
Economic models
Economic policy
Economic reform
fuzzy sets
Infrastructure
Investments
leading and lagging fuzzy score graphics-based model
Multivariate analysis
multivariate statistics
national competitiveness
Policy making
Priorities
Public infrastructure
Studies
Taiwan
Yearbooks
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Summary:Policy makers often need to determine which key projects should be prioritised for national infrastructure investment. In this light, this research uses the evaluating indicators for infrastructure as found in the World Competitiveness Yearbook and proposes a leading and lagging fuzzy score graphics-based model to achieve the following objectives: a) distinguish the leading and lagging degree of each indicator more accurately; b) assist policy makers to find out the strongest and the (relatively) weakest infrastructure items and c) highlight the key fields of national infrastructure that need improvement. Taiwan is used as a case study to test the viability of the model proposed. We show how this methodology will help policy makers to determine the key issues requiring improvement towards the national infrastructure system.
ISSN:1748-7870
1748-7889
DOI:10.1080/17487870.2013.802543