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Table 2 Correlation analysis of input and output variables

From: Is the allocation of medical and health resources effective? Characteristic facts from regional heterogeneity in China

Var

MIN

GE

MHI

BU

DTN

MMR

UCM

IIR

HMR

MTN

1

0.594***

0.235***

0.293***

0.318***

−0.518***

− 0.201***

− 0.227***

− 0.17***

GE

0.474***

1

0.768***

0.602***

0.780***

−0.662***

− 0.14***

− 0.441***

0.261***

MHI

0.196***

0.691***

1

0.415***

0.612***

−0.398***

− 0.071

− 0.281***

0.397***

BU

0.331***

0.463***

0.399***

1

0.576***

−0.556***

− 0.049

− 0.253***

0.163***

DTN

0.285***

0.771***

0.501***

0.434***

1

−0.735***

−0.342***

− 0.460***

0.190***

MMR

− 0.31***

−0.37***

− 0.31***

− 0.47***

− 0.39***

1

0.428***

0.488***

− 0.015

UCM

−0.23***

− 0.01

− 0.027

− 0.0581

− 0.17***

0.423***

1

0.343***

0.065

IIR

−0.13***

− 0.33***

− 0.29***

−0.19***

− 0.29***

0.232***

0.389***

1

−0.29***

HMR

−0.25***

0.209***

0.382***

0.114**

−0.026

−0.082*

0.064

−0.315***

1

  1. Note: Lower – triangular cells report Pearson’s correlation coefficients, upper – triangular cells are Spearman’s rank correlation; ***p < 0.01, **p < 0.05, *p < 0.1