BMC Health Services Research

Table 2 Tobit regression coefficient of slacks for input variables (N = 1105)

From: The impact of healthcare reform on the efficiency of public county hospitals in China

Variables	2008				2012
Variables	beds	physicians	nurses	technicians	beds	physicians	nurses	technicians
GDPPC	0.0002	0.0001	0.0001	0.0000	0.0004^**	0.0001^*	0.0002	0.0000
CPOP	1.8263^**	0.8290^**	1.0680^**	0.3135^**	2.3414^**	0.9364^**	1.4324^**	0.3076^**
REG_1	10.6845	12.4863^**	0.5774	−3.7579	−44.5729^**	−4.0521	−34.8444^**	−9.9991^**
REG_2	−20.8811^**	−30.7351^**	−29.1477^**	−16.3398^**	−18.8853	−20.2540^**	−24.9102^**	−14.5810^**
GSUB	−1.7946	−0.2280	−0.8977^**	−0.2817^**	−4.0388^**	−0.8824^**	−2.0503^**	−0.5297^**
Constant	113.7894^**	50.4160^**	66.5448^**	28.5075^**	201.1246^**	71.1763^**	117.3873	44.2452^**
Log likelihood	−6457.3	−5855.4	−5887.0	−5182.0	−7015.2	−5999.5	−6496.5	−5416.5
LR chi2(10)	565.18^***	432.45^***	597.79^***	266.03^***	440.74^***	426.79^***	410.28^***	217.05^***
Pseudo R2	0.0419	0.0356	0.0483	0.0250	0.0305	0.0343	0.0306	0.0196

Notes: (a) *Significant at the 0.10 level, two-tailed test. **Significant at the 0.01 level, two-tailed test. *** Significant at the 0.001 level, two-tailed test. (b) GDPPC: GDP per capita. CPOP: catchment population. REG_1: dummy variable (if eastern =1 and other =0) and REG_2: dummy variable (if western =1 and other =0) referring to the central. GSUB: proportion of government subsidy to hospital income

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ISSN: 1472-6963

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