InterCriteria Analysis of the Global Competitiveness Reports: From Efficiency- to Innovation-driven Economies
Vassia Atanassova, Lyubka Doukovska, Aleksander Kacprzyk, Evdokia Sotirova, Irina Radeva and Peter Vassilev
Intercriteria analysis is applied here to data retrieved from the World Economic Forum’s Global Competitiveness Reports from 2013–2014 to 2017–2018 about the set of countries in the world, which stage of economic development is in the transition from efficiency-driven to innovation-driven. We analyse data in search of correlations between the twelve pillars of competitiveness across, we outline and comment the findings, comparing them with results from our previous research performed over the member states of the European Union. What is specific in the application of ICA here is that we work with a set of elements (countries), whose belongingness to the set depends on their performance according to the set of criteria, and the set of objects varies over the years, although there are some core countries that regularly appear in the set. This however gives rise to a discussion about the comparability of the ICA results, and sheds light on both the method and the analysed set of countries.
Keywords: Intercriteria analysis, intuitionistic fuzzy sets, correlation, competitiveness, global competitiveness report, efficiency-driven economy, innovationdriven economy, world economic forum