Alternative versions of the global competitive industrial performance ranking constructed by methods from social choice theory

2014. No. 6.

Subochev A., Zakhlebin I. V.

The Competitive Industrial Performance index (developed by experts of the UNIDO) is designed as a measure of national competitiveness. Index is an aggregate of eight observable variables, representing different dimensions of competitive industrial performance. Instead of using a cardinal aggregation function, what CIP’s authors do, it is proposed to apply ordinal ranking methods borrowed from social choice: either direct ranking methods based on the majority relation (e.g. the Copeland rule, the Markovian method) or a multistage procedure of selection and exclusion of the best alternatives, as determined by a majority relation-based social choice solution concept (tournament solution), such as the uncovered set and the minimal externally stable set. The same method of binary comparisons based on the majority rule is used to analyse rank correlations. It is demonstrated that the ranking is robust but some of the new aggregate rankings represent the set of criteria better than the original ranking based on the CIP.

Keywords: majority relation, uncovered set, externally stable set, мажоритарное отношение, непокрытое множество, внешнеустойчивое множество, правило большинства, правило Коупланда, social choice rules, UNIDO, теория коллективного выбора, social choice theory, aggregate ranking, majority rule, Copeland rule, Markovian ranking, tournament solution, агрегирование ранжирований, марковское ранжирование, турнирное решение, Competitive Industrial Performance index, CIP, rank correlations, рейтинг конкурентоспособности промышленного производства, ЮНИДО, ранговые корреляции

Publication based on the results of: Построение рейтингов методами коллективного выбора (2013)