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.