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

Table 12 Robustness: impact of Pilot Reform on Scale Efficiency (different estimation methods)

Variables (Y = Scale efficiency)	(1)	(2)	(3)
Variables (Y = Scale efficiency)	Baseline Model	Tobit Model with LSDV	Tobit Model with Random Effects
Post*Pilot Reform	0.023^**	0.011^**	0.003
	(0.010)	(0.005)	(0.004)
Log GDP per capita	0.019	0.019	−0.007
	(0.034)	(0.019)	(0.018)
Log Government Revenue	0.007	0.005	−0.003
	(0.021)	(0.008)	(0.017)
Log Government Expenditure	−0.015	−0.009	−0.005
	(0.037)	(0.012)	(0.012)
Services Industry Proportion	−0.061	−0.067	0.060^*
	(0.140)	(0.063)	(0.034)
Log Healthcare Institution Bed	−0.040^***	−0.026^***	−0.028^***
	(0.015)	(0.008)	(0.008)
Share of Education Enrollment	0.004	0.004^**	−0.002^**
	(0.003)	(0.001)	(0.001)
Year Effects	Yes	Yes	NO
Individual Effects	Yes	Yes	NO
Rho			0.326
Log likelihood		3395.14	2349.91
N	2555	2555	2555

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 the population

ISSN: 2191-1991