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

Table 10 Robustness: impact of Pilot Reform on Hospital Efficiency (different estimation methods)

Variables (Y = Hospital efficiency)	(1)	(2)	(3)
Variables (Y = Hospital efficiency)	Baseline Model	Tobit Model with LSDV	Tobit Model with Random Effects
Post*Pilot Reform	−0.019	−0.019^**	−0.015^**
	(0.012)	(0.007)	(0.008)
Log GDP per capita	−0.050	−0.049^*	0.030
	(0.054)	(0.030)	(0.019)
Log Government Revenue	0.008	0.008	0.046^***
	(0.019)	(0.013)	(0.017)
Log Government Expenditure	−0.050^*	−0.046^**	−0.032^*
	(0.028)	(0.020)	(0.018)
Services Industry Proportion	0.232	0.226^**	0.555^***
	(0.156)	(0.099)	(0.095)
Log Healthcare Institution Bed	−0.034	−0.029^**	−0.041^***
	(0.021)	(0.012)	(0.016)
Share of Education Enrollment	0.002	0.001	0.002
	(0.004)	(0.002)	(0.002)
Year Effects	Yes	Yes	NO
Individual Effects	Yes	Yes	NO
Rho			0.417
Log likelihood		2242.98	1091.47
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 population

ISSN: 2191-1991