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Table 3 The effects of determinants on the per capita health expenditure

From: Determinants of China’s health expenditure growth: based on Baumol’s cost disease theory

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

Variables

THE

THE

THE

THE

GHE

SHE

OOP

dlnGDP

0.869*** (0.194)

0.804*** (0.192)

0.799*** (0.195)

0.890*** (0.216)

1.569*** (0.319)

0.574* (0.343)

0.732** (0.326)

BV

0.0268*** (0.00383)

0.0246*** (0.00378)

0.0245*** (0.00386)

0.0260*** (0.00405)

0.0243*** (0.00571)

0.0365*** (0.00697)

0.0189*** (0.00568)

dlnRD

 

0.116 (0.0721)

0.115 (0.0720)

0.114 (0.0730)

0.208** (0.0927)

0.106 (0.0992)

0.0984 (0.103)

dlnPOP65

  

−0.0118 (0.0470)

0.00139 (0.0463)

0.0576 (0.0553)

− 0.0350 (0.0753)

− 0.0197 (0.0787)

dlnBED

   

−0.00597 (0.0549)

0.109* (0.0591)

−0.0840 (0.0791)

0.0546 (0.0862)

dlnDOC

   

−0.0297 (0.0297)

− 0.0980*** (0.0305)

0.00755 (0.0549)

−0.00400 (0.0527)

dlnOUTP

   

0.110 (0.126)

−0.127 (0.172)

0.122 (0.226)

0.354* (0.196)

dlnINP

   

−0.114 (0.0964)

−0.421*** (0.116)

0.0464 (0.164)

−0.101 (0.139)

Constant

0.0537*** (0.0162)

0.0558*** (0.0155)

0.0566*** (0.0162)

0.0541*** (0.0171)

0.0177 (0.0251)

0.105*** (0.0256)

0.0202 (0.0238)

Observations

210

210

210

210

210

210

210

R-squared

0.133

0.166

0.190

0.199

0.228

0.144

0.110

  1. Note: Robust standard deviations in brackets, ***, ** and * indicate significant at the 1, 5 and 10% levels respectively. All variables are in first differenced logarithms and at 2000 GDP price levels; adjusted Baumol variable = (real wage rate-labour productivity) * 1/(share of Baumol sector in total employment)