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Table 8 Covariates before and after propensity score matching specification (Match year: 2011)

From: Impact of pilot public hospital reform on efficiencies: a DEA analysis of county hospitals in East China, 2009–2015

Covariates

Before matching

After matching

(1)

(2)

(3)

(4)

(5)

(6)

Pilot

(N = 206)

Non-pilot (N = 543)

difference

Pilot

(N = 190)

Non-pilot (N = 175)

difference

GDP per capita

4.483

3.194

1.289***

4.293

4.493

−0.2

Government Revenue

21.815

12.132

9.683***

19.933

23.246

−3.313

Government Expenditure

31.553

22.301

9.252***

29.750

34.760

−5.01

Healthcare Institution Bed

30.731

27.079

3.652***

29.201

29.501

−0.3

Services Industry Proportion

0.329

0.325

0.004

0.327

0.319

0.008

Education Enrollment

8.615

7.472

1.143*

8.347

9.956

−1.609

  1. Note: Statistical significance: ***p < 0.01, **p < 0.05, *p < 0.1. One-to-one matching without replacement and repeated counties. Covariates include GDP per capita, government revenue per capita, government expenditure per capita, the output in the services industry as a share of GDP, the number of beds in healthcare institutions in the population (10, 000), the share of education enrollment in population
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Health Economics Review

ISSN: 2191-1991

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