Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China’s Yangtze River Economic Belt

Table 3

Results of SLM and SEM regression analysis of each dimension.

Level of quantity
	SLM			SEM
	a	b	c	a	b	c
City	19.385	7.334	12.247	20.756	7.654	8.344
Globalization	1.862	−0.982	7.399	2.527	−0.966	14.32
Technology	−17.336	−3.901	−24.783	−20.327	−3.66	−27.073
Knowledge	27.995	5.541	35.974	29.737	5.055	37.815
Policy	15.732	2.575	21.291	17.225	2.999	15.471
Location	−15.657	2.332	−26.892	−17.931	1.953	−21.025
R-squared	0.928	0.732	0.951	0.935	0.735	0.956
Log-likelihood	−387.062	−186.632	−75.277	−383.633	−186.396	−74.6621
AIC	790.125	389.265	166.554	781.267	386.793	163.324
SC	811.508	408.992	174.11	799.977	404.054	169.935
N	107	88	19	107	88	19

Note. a indicates the YEB region; b indicates low-level city network; c indicates high-level city network. ; ; . AIC means Akaike information criterion; SC is the Schwarz criterion.