Spatial Inequality
DOI:
https://doi.org/10.18335/region.v12i1.563Abstract
This paper explores the concepts and computational methods used to
measure spatial inequality, emphasizing a reproducible approach that
social scientists can apply to their research. The analysis focuses on
geographic income disparities at the sub-national level, using Mexico as
a case study. By examining various a-spatial and spatially explicit
approaches, the paper highlights the complexities of measuring
inequality across places and over time. The discussion includes a review
of traditional inequality measures and introduces spatial decomposition
methods that account for the geographical distribution of income. The
findings underscore the importance of integrating spatial considerations
into inequality analysis to better understand the patterns and drivers
of regional disparities, thereby informing more effective and equitable
policy interventions.
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Copyright (c) 2025 Sergio Rey
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