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Erschienen in: Quality & Quantity 5/2018

25.11.2017

The Global Competitiveness Index: an alternative measure with endogenously derived weights

verfasst von: Francesca Petrarca, Silvia Terzi

Erschienen in: Quality & Quantity | Ausgabe 5/2018

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Abstract

We present an alternative method to compute the Global Competitiveness Index (GCI) by means of a partial least squares path model. In particular, making use of the same set of variables defined by the World Economic Forum we compute the composite indicator GCI by means of a structural equations model with endogenously derived weights. World Economic Forum, instead, defines GCI as a combinations of subindexes with weights that are fixed but vary according to the stage of development a country belongs to. The main issue we address is whether the weights of the subindexes change according to different stages of development.

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Fußnoten
1
We have checked that different possibilities of grouping countries of the transitions stages do not change the following discussion.
 
2
For the measurement model, the manifest variables reported in Table 8 were removed from the final model because both corresponding weights and loadings were not validated by the bootstrap procedure.
 
3
Authors upon request can provide the measurement model results.
 
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Metadaten
Titel
The Global Competitiveness Index: an alternative measure with endogenously derived weights
verfasst von
Francesca Petrarca
Silvia Terzi
Publikationsdatum
25.11.2017
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 5/2018
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-017-0655-8

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