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Rediscovering the Condorcet Approach as an Aggregation Technique for Progress Measures
Author(s) -
Natoli Riccardo,
Zuhair Segu
Publication year - 2011
Publication title -
economic papers: a journal of applied economics and policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.245
H-Index - 19
eISSN - 1759-3441
pISSN - 0812-0439
DOI - 10.1111/j.1759-3441.2011.00119.x
Subject(s) - condorcet method , ranking (information retrieval) , benchmarking , computer science , management science , econometrics , operations research , economics , voting , mathematics , artificial intelligence , political science , management , politics , law
There are three main aggregation techniques designed for progress measurements to help facilitate the benchmarking and ranking of countries according to aggregated dimensions. They are: (i) additive methods; (ii) geometric aggregations; and (iii) non‐compensatory multi‐criteria analysis. Virtually, all measures utilise one of the first two techniques. This article will critically review these aggregation approaches. In doing so, this article will assert that the Condorcet approach, despite being overlooked by many major institutions, demands strong consideration for aggregating progress measures. The theoretical implications of using the Condorcet method will be explored. An empirical application of the Condorcet model is undertaken on the Resource–Infrastructure–Environment Index to test the validity of this approach as an aggregation technique for progress measures.