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- Title
Measuring local competitiveness: comparing and integrating two methods PCA and AHP.
- Authors
Kurek, Katarzyna A.; Heijman, Wim; van Ophem, Johan; Gędek, Stanisław; Strojny, Jacek
- Abstract
This article discusses two methods to measure the concept of local competitiveness: Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP). The goal of this analysis is to determine whether these two methods used in social sciences research lead to comparable model results. By non-parametric tests we show that there is a significant correlation between the PCA and AHP local competitiveness indexes. Thereafter, a developed mixed method examination of whether the methods can be used interchangeably is presented and illustrated with detailed examples of two mixed approaches. The mixed method confirms the correlation between the PCA and AHP models. However, the mixed modelling results indicate the utility of the PCA in the situation of a multicriteria local competitiveness data examination.
- Subjects
ANALYTIC hierarchy process; PRINCIPAL components analysis
- Publication
Quality & Quantity, 2022, Vol 56, Issue 3, p1371
- ISSN
0033-5177
- Publication type
Article
- DOI
10.1007/s11135-021-01181-z