The multidimensional poverty index (MPI) is generally credited for better capturing the various components of poverty. Where such indexes have a spatial component, opportunity arises for analyzing changes in the spatial concentration of multidimensional poverty over given periods across space. Using current available MPI data for Gauteng province, South Africa, we apply spatial statistical analysis techniques to measure the degree of spatial concentration, spread and orientation of poverty across the various wards. Results reveal distinct variations in concentration, spatial spread and orientation of poverty across the province. These results open up possibilities of spatially targeted state interventions for reducing poverty.
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For example, average location, dispersion, and orientation or arrangement in space.
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This work benefited from comments from colleagues in the GCRO in particular the QoL team that worked on the data.
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Katumba, S., Cheruiyot, K. & Mushongera, D. Spatial Change in the Concentration of Multidimensional Poverty in Gauteng, South Africa: Evidence from Quality of Life Survey Data. Soc Indic Res 145, 95–115 (2019). https://doi.org/10.1007/s11205-019-02116-w
- Multidimensional poverty index
- Quality of Life
- Standard deviational ellipse
- Spatial autocorrelation
- South Africa