Mixed-methods analysis shows non-random distribution of sports schools in China, indicating educational equity challenges.
To advance educational equity, this study examines the spatial mechanisms of National Sports Specialized Model Schools (NSSMS) in Heilongjiang, China. Using a mixed-methods approach integrating GIS and fsQCA, we analyzed data from 142 NSSMS across five conditions: GDP, population, school count, sports culture, and educational expenditure. GIS revealed a unipolar agglomeration centered on Harbin with significant spatial autocorrelation (Moran’s I = 0.233, p < 0.01). fsQCA identified two high-aggregation pathways: a “Comprehensive Development” path (consistency = 0.977) driven by holistic advantages, and a “Resource-Driven” path (0.812) leveraging fiscal and economic strength to offset deficits. All four low-aggregation pathways shared low educational expenditure as a necessary condition, confirming causal asymmetry. These findings demonstrate that NSSMS distribution is non-random and condition-dependent. We propose differentiated, evidence-based policies—prioritizing fiscal investment and tailored strategies for specific configurational paths—to optimize the spatial equity of educational resources.
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Wang et al. (2026) studied this question.
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