Fig. 6

Spatiotemporal percentage contributions of explanatory factors (X1-X11) on Chinese county hospital beds, quantified by the spatiotemporal variance partitioning index (STVPI). a contribution percentages explained by the Bayesian STVC model and the residual; b contribution percentages of socioeconomic and environmental factors considering their spatiotemporal heterogeneous associations with hospital beds; c contribution percentages of the space and time scales concerning all factors; d time-scale contribution percentage for each factor; e space-scale contribution percentage for each factor; and f space-time-scale contribution percentage for each factor. Explanatory factors include local general budget revenue per capita (X1), residents’ saving deposits per capita (X2), total investment in fixed assets per capita (X3), first industry output per capita (X4), GDP per capita (X5), average urban employee wage (X6), total retail sales of consumer goods per capita (X7), nighttime light index (X8), river network density (X9), slope (X10), and road network density (X11)