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Table 5 NCMS fund expenditure model

From: Managing the medical resources of a national insurance program: lessons based on China’s NCMS

 

(1)

Fixed model 1

(2)

Fixed model 2

(3)

One step GMM 1

(4)

One step GMM 2

Transfer

-3.291***

-4.096***

-2.380**

-1.334

(0.601)

(0.804)

(0.978)

(0.963)

Lagged one period of balance rate

  

-0.242***

-0.190***

  

(0.071)

(0.057)

Lagged two period of balance rate

  

-0.248***

-0.181***

  

(0.060)

(0.060)

Lagged one period of expectation

  

-4.323***

-3.435***

  

(1.293)

(0.988)

Revenue decentralization

 

-0.298

-0.538

 
 

(0.221)

(0.442)

 

Expenditure decentralization

0.396*

  

1.234**

(0.226)

  

(0.534)

Local matching subsidy

0.921

0.070

8.637***

6.869***

(1.058)

(1.194)

(1.837)

(1.551)

Per capita GDP

2.569

10.188*

100.332***

79.159***

(3.907)

(5.382)

(15.666)

(11.024)

Old

1.502***

1.728***

0.727

0.980

(0.375)

(0.444)

(0.932)

(0.882)

Children

0.748**

0.851***

2.313***

2.884***

(0.327)

(0.300)

(0.794)

(0.722)

Healthcare expenditure

-26.964***

-25.927***

-44.234***

-44.813***

(4.219)

(4.761)

(5.255)

(5.021)

Province fixed effect

YES

YES

NO

NO

Time fixed effect

YES

YES

NO

NO

Constant

40.418

16.001

  

(48.625)

(48.613)

  

Observations

280

280

224

224

R2

0.7698

0.7600

  

AR(1)

  

0.001

0.001

AR(2)

  

0.222

0.192

Sargan

  

0.000

0.000

Hansen

  

0.545

0.528

  1. *, **, and *** indicate significance at the levels of 10%, 5%, and 1%, respectively. AR(1), AR(2), Sargan, and Hansen are p values