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

Table 7 Heterogenous treatment effects: impact of pilot reform on hospital efficiency (by hospital types)

Variables	General Hospitals			Traditional Chinese Medicine Hospitals
Variables	Hospital Efficiency	Pure Technical Efficiency	Scale Efficiency	Hospital Efficiency	Pure Technical Efficiency	Scale Efficiency
Post*Pilot Reform	−0.028^*	−0.037^**	0.015	−0.007	−0.023	0.042
Post*Pilot Reform	(0.014)	(0.015)	(0.010)	(0.020)	(0.019)	(0.030)
Log GDP per capita	−0.064	−0.062	−0.032	−0.016	−0.065	0.205
Log GDP per capita	(0.068)	(0.069)	(0.028)	(0.079)	(0.079)	(0.173)
Log Government Revenue	−0.013	−0.010	−0.021	0.030	−0.003	0.043
Log Government Revenue	(0.020)	(0.022)	(0.017)	(0.038)	(0.030)	(0.041)
Log Government Expenditure	−0.046^*	−0.050^*	0.009	−0.052	−0.009	−0.068
Log Government Expenditure	(0.028)	(0.030)	(0.022)	(0.056)	(0.037)	(0.121)
Services Industry Proportion	0.329^*	0.349^*	0.057	0.114	0.233	−0.316
Services Industry Proportion	(0.186)	(0.196)	(0.172)	(0.282)	(0.284)	(0.324)
Log Healthcare Institution Bed	−0.021	−0.002	−0.038^***	−0.051	−0.050	−0.049^*
Log Healthcare Institution Bed	(0.024)	(0.025)	(0.013)	(0.039)	(0.038)	(0.028)
Share of Education Enrollment	−0.003	−0.005	0.003	0.008	0.007	0.008
Share of Education Enrollment	(0.005)	(0.006)	(0.004)	(0.006)	(0.006)	(0.005)
Year Effects	Yes	Yes	Yes	Yes	Yes	Yes
Individual Effects	Yes	Yes	Yes	Yes	Yes	Yes
N	1538	1538	1538	1017	1017	1017

Note: The numbers in parentheses are standard errors. Significant levels are denoted as ^*p < 0.1, ^**p < 0.05, ^***p < 0.01. Control variables 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

ISSN: 2191-1991