Table 4.
Method | Variable | Total Population in the MSHA | Vulnerable Population in the MSHA | ||
---|---|---|---|---|---|
r | p | r | p | ||
Pearson’s Correlation | Population density | 0.998 | 0.000 | 0.741 | 0.000 |
Urban population | 0.894 | 0.000 | 0.607 | 0.000 | |
GDP | 0.127 | 0.419 | 0.037 | 0.603 | |
GDP per capita | 0.379 | 0.183 | 0.308 | 0.111 | |
Urban land area | 0.875 | 0.000 | 0.575 | 0.001 | |
Birth rate | −0.333 | 0.245 | −0.205 | 0.278 | |
Infant mortality rate | 0.399 | 0.157 | 0.201 | 0.287 | |
Multiple GLM Regression | Variable | MS | SS, % | MS | SS, % |
Population density | 1.396 | 32.82 * | 0.15 | 26.19 * | |
Urban population | 2.802 | 65.87 * | 0.30 | 50.95 * | |
GDP | 0.003 | 0.07 | 0.00 | 0.10 | |
Urban land area | 0.016 | 0.37 | 0.01 | 1.18 | |
Birth rate | 0.004 | 0.10 | 0.00 | 0.51 | |
Infant mortality rate | 0.000 | 0.00 | 0.00 | 0.56 | |
Residuals | 0.002 | 0.77 | 0.01 | 20.51 |
Note: Variables in the table represent the change rates of the factors from 2000 to 2015. The multiple GLM regression results passed the standard regression diagnostics. The variance inflation factors (VIFs) were tested as less than 8. All of the statistical analyses were conducted in R version 3.3.1 (http://www.R-project.org) (RStudio, Boston, The United States). * p < 0.05; MS: mean squares; SS: proportion of variances explained by the variables.