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M. Joseph Sirgy, Rhonda Phillips and Don Rahtz (eds.), Community Quality-of-Live Indicators: Best Practices III, 102-124.
©2007 International Society for Quality-of-Life Studies
Abstract
In this chapter, we use two urban indicators to examine intra-urban inequalities in the munici-
pality of São Paulo, Brazil: the Human Development Index (HDI), from the United Nations
Development Program, and the Economic Concentration Index (ECI), proposed in this study.
Using district-level data, we apply Exploratory Spatial Data Analysis (ESDA) methods that
account for spatial effects, that is, spatial autocorrelation and spatial heterogeneity. Spatial
autocorrelation occurs when value similarity and locational similarity coincide. Spatial het-
erogeneity exists when structural changes related to location are detected in the data set, and
spatial regimes may be present. We show that spatial autocorrelation and spatial heterogeneity
are detected in the spatial distribution of HDI and ECI in São Paulo Municipality, and therefore
intra-urban inequalities exist with respect to both urban indicators. The development level var-
ies substantially across districts, and center and periphery are the most obvious spatial regimes
characterizing this variation. The ESDA methods described in this study can be adopted by
planners to examine different variables, leading to more reliable results based on statistical
tests and revealing, more precisely, locations that require more/less attention.
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FIGURE 5.3: Moran Scatter Plots for HDI and ECI, 2000
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