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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