2013/09/05 by Sergio Tezanos Vázquez, Andy Sumner · 1 citation
Social Sciences · Mathematics · #Income, Poverty, and Inequality #International Development and Aid #Social and Economic Development in India #Poverty #Per capita #Per capita income #Economics #Proxy (statistics) #Developing country #Geography #Economic growth #Sociology #Population #Statistics #Demography #Mathematics
paper · doi:10.1080/00220388.2013.822071
openalex publication_date 2013/09/05 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/29
Many have challenged the use of income per capita as the primary proxy for measuring development since Seers’s seminal works. This article continues this tradition with a more recent twist. We use cluster analysis to build a multidimensional taxonomy of developing countries using a set of indicators covering four conceptual frames on ‘development’. The value-added of the article is not to suggest that our classification is the end in itself, but – more modestly – to demonstrate that more work on taxonomies is required in light of the weakness of classifications based solely on income and the changing distribution of global poverty.