Spatial Differentiation of Human Capital Across Kazakhstan’s Regions: A Composite Index with GIS-Based Mapping

2025

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DOI 10.3390/su172411000
Data confidence 70 medium
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Abstract

Human capital is a key driver of sustainable growth, yet subnational assessments in Central Asia remain limited. This study presents a reproducible Regional Human Capital Index for Kazakhstan’s 17 regions and tracks its dynamics over 2000–2020. The index draws on a harmonized set of indicators grouped into four pillars: demographic, social, economic, and environmental. We apply linear normalization, weighted aggregation to a 0–1 scale, GIS mapping, a five-level typology, and correlation analysis. The composite index has increased over two decades, while interregional disparities persist. Astana, Almaty, and Atyrau lead, with parts of the central–northern belt and Kyzylorda remaining vulnerable. The composite is most strongly associated with the economic subindex. The environmental pillar constrains outcomes in industry-intensive and agglomerated territories. Demography and access to basic social services shape the long-run trajectory of human capital accumulation. The findings call for differentiated, SDG-aligned regional policy. Leaders should focus on quality retention and ecological modernization. Mid-performing regions need to address diagnosed bottlenecks. Vulnerable areas require basic infrastructure, labor market activation, and demographic support. The index and maps offer a practical platform for routine public monitoring and decision making. Beyond the empirical findings for Kazakhstan, the study also illustrates a structured and transparent approach to subnational human capital assessment. The framework is not country-specific and can be adapted to other national or subnational contexts where comparable regional data are available.