This chapter introduces a novel methodology for measuring local exposure to economic inequality in South Africa, specifically focusing on the City of Johannesburg. Using census data, the study calculates Gini-like coefficients for 5800 neighbourhoods, considering both within-neighbourhood inequality and inequality within specified radii around each neighbourhood. The research addresses a significant gap in understanding how directly experienced inequality differs from awareness of inequality, particularly relevant in South Africa's context of extreme economic disparity and apartheid-legacy spatial planning. While primarily methodological, the study yields empirical insights into Johannesburg's inequality patterns. By analysing census tracts as neighbourhood proxies, the research contributes to the literature on ‘neighbourhood effects’ while acknowledging the limitations of using administrative constructs for spatial analysis. The findings lay groundwork for future research on local inequality exposure.

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Measuring Local Exposure to Economic Inequality in the City of Johannesburg

  • Halfdan Lynge,
  • David Everatt,
  • Samy Katumba

摘要

This chapter introduces a novel methodology for measuring local exposure to economic inequality in South Africa, specifically focusing on the City of Johannesburg. Using census data, the study calculates Gini-like coefficients for 5800 neighbourhoods, considering both within-neighbourhood inequality and inequality within specified radii around each neighbourhood. The research addresses a significant gap in understanding how directly experienced inequality differs from awareness of inequality, particularly relevant in South Africa's context of extreme economic disparity and apartheid-legacy spatial planning. While primarily methodological, the study yields empirical insights into Johannesburg's inequality patterns. By analysing census tracts as neighbourhood proxies, the research contributes to the literature on ‘neighbourhood effects’ while acknowledging the limitations of using administrative constructs for spatial analysis. The findings lay groundwork for future research on local inequality exposure.