PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 25, 20260 citationsOpen Access

Is poverty multidimensional?: a comparison of income and asset based measures in five southern African countries

View Full Paper
HCHuman Sciences Research Council

Key Points

  • This research examines whether poverty is truly multidimensional by comparing income and asset-based measures across different levels of analysis.
  • Comparison of income and asset-based measures of poverty
  • Analysis conducted at national and household levels
  • Focus on five southern African Development Community countries (SADC)
  • Different poverty measures converge on a single dimension of poverty
  • Multidimensional measures reveal subtle differences in poverty elements
  • Support remains for using various measures despite the unifying poverty picture

Abstract

This paper contests the major emphasis placed on the multidimensional nature of poverty measurement. Instead, it argues that poverty pictures created by different measures and at different units of analysis tend to converge. This argument is derived from a comparison of poverty pictures created using income and asset-based measures at the national and household level in five South African Development Community countries. Although multidimensional measures have value in illuminating subtle differences, the findings indicate a single dimension of poverty that runs throughout all the measures and levels of analysis. However, despite the single poverty picture provided by different measures, the abandonment of these different measures is not supported. Multidimensional measures provide insight into particular elements of poverty that is useful and relevant to poverty interventions.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Human Sciences Research Council (2026) studied this question.

synapsesocial.com/papers/6a13e7cf0e02ee3982d327f6https://doi.org/10.14749/32383413
Ask AI
Helpful
Bookmark
Share
View Full Paper