中国城市流动人口住房质量的空间分异与影响因素

王宇凡, 柴康妮, 卓云霞, 冯长春

Spatial variation of migrant population's housing quality and its determinants in China's prefecture-level cities

WANG Yufan, CHAI Kangni, ZHUO Yunxia, FENG Changchun

表5 中国流动人口住房质量影响因素的模型估计结果：不同规模城市间的异质性作用

Tab. 5 Overall results of regression models of migrant population's housing quality in China: Heterogeneity between cities of different scales

	房屋面积			设施条件			建筑年代			社区性质
	(1) 中小城市	(2) 大城市	组间系数差异 SUR检验	(3) 中小城市	(4) 大城市	组间系数差异 SUR检验	(5) 中小城市	(6) 大城市	组间系数差异 SUR检验	(7) 中小城市	(8) 大城市	组间系数差异 SUR检验
Crossprov	-37.026^***	-7.796	-29.23^**	-0.242^***	0.010	-0.253^**	-0.078	-0.054	-0.024	-0.320^***	-0.197	-0.123
	(9.585)	(8.133)		(0.086)	(0.114)		(0.059)	(0.072)		(0.085)	(0.139)
Rural	-5.825	-10.092	4.267	0.010	-0.649	0.659	-0.070	0.295	-0.365	-0.554^**	-1.977^***	1.423^***
	(23.908)	(37.235)		(0.215)	(0.523)		(0.148)	(0.329)		(0.213)	(0.638)
Age	-2.637^**	-2.101	-0.536	0.022^**	0.002	0.021	-0.013^*	0.017	-0.030^**	0.023^**	-0.020	0.043^*
	(1.196)	(1.607)		(0.011)	(0.023)		(0.007)	(0.014)		(0.011)	(0.028)
Single	33.420	36.898	-3.478	-0.006	0.138	-0.144	0.020	0.159	-0.139	0.334	-0.100	0.434
	(27.795)	(29.840)		(0.250)	(0.419)		(0.172)	(0.263)		(0.247)	(0.511)
Child	28.469^***	31.617^*	-3.149	-0.223^**	0.339	-0.562^***	0.010	0.004	0.006	-0.138	-0.242	0.104
	(10.792)	(15.950)		(0.097)	(0.224)		(0.067)	(0.141)		(0.096)	(0.273)
Family	-62.556^***	14.608	-77.164	-0.049	1.571^***	-1.620^***	-0.060	0.705^*	-0.764^**	0.066	-0.149	0.216
	(23.944)	(39.558)		(0.215)	(0.555)		(0.148)	(0.349)		(0.213)	(0.677)
Purpose	21.805	17.101	4.704	0.214	0.951^**	-0.737^**	0.208^*	0.261	-0.053	0.228	0.163	0.064
	(17.970)	(32.769)		(0.161)	(0.460)		(0.111)	(0.289)		(0.160)	(0.561)
Length	-1.388	-2.148	0.760	-0.008	-0.067^**	0.058^**	0.002	-0.017	0.019	-0.016	-0.041	0.025
	(1.165)	(1.875)		(0.010)	(0.026)		(0.007)	(0.017)		(0.010)	(0.032)
Stay	-0.392	-31.367	30.975	0.024	-0.477	0.500	0.081	-0.307	0.388^**	0.214	0.979^**	-0.764^**
	(14.618)	(25.310)		(0.131)	(0.355)		(0.091)	(0.223)		(0.130)	(0.433)
Education	18.592	27.207	-8.615	0.173	-0.058	0.231	0.109	0.053	0.056	-0.097	-1.217^*	1.12^*
	(33.377)	(38.674)		(0.300)	(0.543)		(0.207)	(0.341)		(0.297)	(0.662)
Job	-7.035	-30.292	23.256	-0.111	-0.349	0.238	0.049	-0.089	0.138	-0.283^**	-0.448	0.165
	(12.759)	(19.829)		(0.115)	(0.278)		(0.079)	(0.175)		(0.114)	(0.340)
Security	41.291^**	9.107	32.184	0.098	0.729^***	-0.631^***	-0.103	0.144	-0.248	-0.012	0.122	-0.134
	(19.311)	(17.439)		(0.173)	(0.245)		(0.120)	(0.154)		(0.172)	(0.299)
lnIncome	18.173^**	7.406	10.767	0.029	-0.627^***	0.656^***	0.028	-0.164	0.192^*	0.095	-0.065	0.16
	(8.734)	(14.507)		(0.078)	(0.204)		(0.054)	(0.128)		(0.078)	(0.248)