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Abstract
Chronic kidney disease (CKD) affects millions worldwide, with
substantial cross-country disparities in prevalence and sociodemographic
development. This study examines whether the association between CKD prevalence
and economic development is nonlinear and consistent with an inverted U-shaped
pattern. An unbalanced country-level panel for 1995–2023 combines
age-standardized CKD prevalence estimates from the Global Burden of Disease
Study 2023 with economic and health indicators from the World Development Indicators.
Economic development is measured by GDP per capita at purchasing power parity
in constant 2021 international dollars. The analysis uses two-way fixed
effects, semiparametric estimation, and supplementary two-step System GMM.
Fixed-effects estimates generally support an inverted U-shaped relationship
after controlling for country and year fixed effects and environmental,
metabolic, and health-system covariates. High systolic blood pressure exposure
is positively and significantly associated with CKD prevalence. In the
preferred broad-control model, the implied turning point is approximately
34,685 international dollars, although sensitive to specification and sample
composition. Semiparametric estimates show a similar pattern with a flat peak
and gradual decline at higher incomes. System GMM indicates substantial
persistence and specification-dependent evidence of nonlinearity. Overall,
economic development alone may be insufficient to reduce CKD prevalence,
highlighting the importance of health investment and risk-factor management.
JEL classification numbers: I15, C23, O11.
Keywords: Chronic Kidney Disease, Economic
Development, Nonlinearity, Two-Way Fixed Effects, System GMM.