A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis

Table 2

Full sample regression of the influence of medical service agglomeration on residents’ health level.

Variables	(1)FE	(2)RE	(3)GMM
L. health			0.843; (9.84)
LQ	−0.096; (−1.05)	−0.076; (−0.88)	−0.056; (−1.82)
Bper1000	−0.006; (−0.05)	−0.156; (−1.84)	−0.168; (−2.67)
Income	−0.441; (−6.53)	−0.435; (−6.46)	−0.200; (−2.37)
Urban	−2.389; (−7.44)	−1.886; (−8.06)	−0.102; (−0.47)
Edu	−0.715; (−1.94)	−0.634; (−1.95)	−0.199; (−2.38)
_cons	18.102; (16.24)	16.119; (22.47)	2.935; (2.01)
R^2	0.778	0.774
F	25.67
Hausman		30.18
AR(1) value			0.000
AR(2)的 value			0.269
Sargan value for inspection			0.669
Obs	465	465	434

Note: (1) FE represents fixed effect model, FE represents random effect model, and GMM represents system GMM estimation of dynamic panel model; (2) FE estimation and GMM estimation are both T value in brackets, and Re estimation is Z value in brackets; (2) symbols , , and , respectively, represent the significance level of 10%, 5%, and 1%.