中国省域工业生态效率及影响因素的空间计量分析
卢燕群, 袁鹏

Measurement and spatial econometrics analysis of provincial industrial ecological efficiency in China
Yanqun LU, Peng YUAN
表4 传统面板模型与SDM模型的估计结果
Table 4 Estimated results of traditional panel models and SDM
变量 传统混合回归模型 传统个体固定模型 传统时间固定模型 个体固定SDM模型
ln(IS -0.028
(-0.107)
0.913****
(2.924)
0.131
(0.348)
0.693*
(1.519)
ln2IS 0.023
(0.707)
-0.001
(-0.043)
0.012
(0.231)
-0.035
(-0.871)
REGUL -10.386****
(-3.302)
-6.069****
(-2.914)
-12.178****
(-3.695)
-4.873***
(-2.357)
FDI 4.649****
(3.842)
0.002
(0.002)
4.294****
(3.343)
-0.194
(-0.176)
R&D 3.602****
(2.735)
14.552****
(5.051)
2.111*
(1.490)
11.433****
(2.900)
FP 0.598***
(2.453)
-2.562****
(-8.678)
0.496**
(1.883)
-1.897****
(-5.158)
AGG -0.720****
(-4.880)
-0.017
-(0.180)
-1.082****
(-5.895)
0.488****
(2.647)
AGG2 0.190****
(4.025)
-0.020
(-0.686)
0.291****
(5.116)
-0.115***
(-2.596)
HP -0.260**
(-1.768)
-0.089
(-0.480)
-0.197*
(-1.332)
0.060
(0.342)
W×ln(IS - - - -0.540
(-0.760)
W×ln2IS - - - 0.113**
(1.764)
W×REGUL - - - 1.517
(0.325)
W×FDI - - - 8.514
(1.279)
W×R & D - - - 3.264
(1.084)
W×FP - - - -1.085**
(-1.648)
W×AGG - - - -0.672****
(-3.332)
W×AGG2 - - - 0.160****
(3.134)
W×HP - - - -0.453*
(-1.476)
W×EP - - - 0.189***
(2.483)
R2 0.439 0.883 0.474 0.894
Log likelihood 122.207 357.062 131.830 369.560
固定效应F检验 - 34.727*** 0.607 -
LM_spatial lag test 12.633****
p=0.000)
12.335****
p=0.000)
1.677*
p=0.195)
-
LM_spatial error test 30.507
p=0.868)
6.589****
p=0.010)
3.232**
p=0.072)
-
Wald test spatial lag - - - 20.377***
p=0.016)
Wald test spatial error - - - 23.038****
p=0.006)