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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Economic Modellingarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Economic Modelling
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Assessing global competitiveness under multi-criteria perspective

Authors: Salvador Pérez-Moreno; Beatriz Rodríguez; Mariano Luque;

Assessing global competitiveness under multi-criteria perspective

Abstract

Nowadays competitiveness has become a key economic feature both in policy and in academia. The Global Competitiveness Index (GCI) of the World Economic Forum is one of the best known competitiveness indices, which measures the microeconomic and macroeconomic foundations of national competitiveness. It conceives competitiveness as the set of institutions, policies and factors that determines the level of productivity of a country. This index allows total substitutability between the twelve pillars that aim to measure the different dimensions of competitiveness, albeit partially modulated by some different weights. In this paper, we implement a multi-criteria approach with new alternative normalization and aggregation formulas for such pillars of competitiveness. In particular, we propose two innovations for the computation of the GCI: (i) a double reference point scheme in the normalization; and (ii) an aggregation function which deals with the problem of substitutability between pillars. We calculate three alternative global competitiveness indices (weak, strong and mixed) with different degrees of substitutability, as well as the mixed index without normalizing. We suggest the use of a suitable mixed index alongside the GCI.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 10%
Top 10%
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