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Table 2 Distribution of government healthcare subsidy (GHS) by income quintiles, concentration index (CI), and Kakwani index (KI)

From: Has equity in government subsidy on healthcare improved in China? Evidence from the China’s National Health Services Survey

Year

Area

Income quintiles

Living standard

Outpatient GHS

Inpatient GHS

Total GHS

2002

Urban (A)

poorest 20%

4.93%

13.75%

11.33%

13.11%

2nd poorest

8.51%

14.58%

14.43%

14.54%

3rd

12.69%

23.26%

24.89%

23.70%

2nd richest

19.64%

24.24%

18.74%

22.78%

richest 20%

54.23%

24.17%

30.61%

25.88%

Gini/CI

0.5805b

0.1527b

0.2036a

0.1662b

(SE)

(0.0092)

(0.0549)

(0.0732)

(0.0469)

KI

-

−0.4278a

−0.3769a

−0.4143a

(SE)

 

(0.0559)

(0.0739)

(0.0480)

Dominance test

    

-against 450 line

 

D -

D -

D -

-against Lorenz curve

D +

D +

D +

Rural (B)

poorest 20%

8.05%

10.76%

7.43%

9.59%

2nd poorest

12.41%

11.77%

11.03%

11.51%

3rd

16.45%

19.42%

17.35%

18.69%

2nd richest

22.11%

30.04%

17.46%

25.64%

richest 20%

40.98%

28.01%

46.74%

34.56%

Gini/CI

0.3921b

0.2664a

0.4497a

0.3305b

(SE)

(0.0041)

(0.0924)

(0.1373)

(0.0778)

KI

-

−0.1257a

0.0576a

−0.0616a

(SE)

 

(0.0924)

(0.1371)

(0.0777)

Dominance test

    

-against 450 line

 

D -

D -

D -

-against Lorenz curve

none

none

none

2007

Urban (C)

poorest 20%

7.70%

13.36%

8.77%

10.77%

2nd poorest

11.88%

20.60%

8.72%

13.89%

3rd

16.06%

14.91%

13.76%

14.26%

2nd richest

21.86%

21.83%

27.41%

24.98%

richest 20%

42.51%

29.30%

41.34%

36.10%

Gini/CI

0.4154b

0.1581a

0.4433a

0.3193b

(SE)

(0.0049)

(0.0513)

(0.0789)

(0.0513)

KI

-

−0.2572a

0.0280a

−0.0961a

(SE)

 

(0.0515)

(0.0790)

(0.0514)

Dominance test

    

-against 450 line

 

none

D -

D -

-against Lorenz curve

D +

none

none

Rural (D)

poorest 20%

9.03%

13.73%

5.36%

8.88%

2nd poorest

13.31%

16.42%

7.68%

11.36%

3rd

17.07%

18.57%

16.97%

17.65%

2nd richest

22.10%

22.40%

20.95%

21.56%

richest 20%

38.49%

28.88%

49.04%

40.55%

Gini/CI

0.3507b

0.2006a

0.5375a

0.3957b

(SE)

(0.0032)

(0.0506)

(0.0652)

(0.0449)

KI

-

−0.1501a

0.1868a

0.0450a

(SE)

 

(0.0506)

(0.0650)

(0.0447)

Dominance test

    

-against 450 line

 

D -

D -

D -

-against Lorenz curve

none

D -

none

Inequality difference

Δ(Urban–rural)

2002 (A-B)

-

−0.3021

−0.4346

−0.3527

Dominance test

 

none

none

none

2007 (C-D)

-

−0.1071

−0.1589

−0.1411

Dominance test

 

none

none

none

Δ(2007–2002)

Urban (C-A)

-

0.1706

0.4049

0.3182

Dominance test

 

none

none

none

Rural (D-B)

-

−0.0244

0.1292

0.1065

Dominance test

 

none

none

none

  1. None indicates failure to reject the null hypothesis that curves are indistinguishable at the 5 percent significance level
  2. D+/D- indicates concentration curve dominates (is dominated by) the Lorenz curve or concentration curve in one year or area and dominates (is dominated by) the other in another year or area
  3. aSignificant at 0.05
  4. bSignificant at 0.01