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Table 7 Robustness analysis results

From: Does privatization decrease the structural efficiency in the Chinese hospital sector?

 

(1)

(2)

(3)

(4)

VARIABLES

AEARE

AEARE

AEARE

AEARE

RGDP

0.071c

-0.011

0.017

0.003

 

(2.91)

(-0.45)

(0.76)

(0.20)

PPH

-0.164c

-0.103c

-0.068b

-0.082c

 

(-3.98)

(-2.79)

(-2.39)

(-3.09)

PTH

0.175c

0.093c

0.022

0.051b

 

(5.46)

(3.55)

(0.85)

(2.43)

TPD

0.320c

0.125

-0.108

-0.042

 

(4.34)

(1.25)

(-1.25)

(-0.90)

GHCP

-0.006

0.039a

0.086c

0.018

 

(-0.34)

(1.94)

(3.53)

(1.55)

PM

0.055c

0.042

0.252

0.003

 

(5.34)

(1.05)

(1.46)

(0.44)

RSU

-0.126a

-0.016

0.004

-0.132b

 

(-1.78)

(-0.70)

(0.10)

(-2.50)

Constant

0.205

0.441

-0.978

0.956c

 

(0.74)

(1.40)

(-1.07)

(3.39)

Observations

310

310

310

248

R-squared

0.563

0.325

0.274

0.129

code FE

YES

YES

YES

YES

year FE

YES

YES

YES

YES

Number of id

31

31

31

31

  1. Columns 1–4 are the robustness tests of the benchmark regression, four different robustness methods are used, focusing on the significance of the PPH, as can be seen from the table above the PPH in all four robustness results are significant, indicating that the benchmark regression results are robust
  2. YSE indicates that fixed effects were controlled, NO indicates that fixed effects were not controlled
  3. t-values in parentheses
  4. a, b and c denote statistical significance at the 10 per cent, 5 per cent and 1 per cent levels, respectively