Research Article

Fiscal Decentralization and Regional Financial Efficiency: An Empirical Analysis of Spatial Durbin Model

Table 4

Decomposition of direct effect, indirect effect, and total effect under SDM model.

Independent variablesDependent variable: sdDependent variable: sd
Direct effectIndirect effectTotal effectDirect effectIndirect effectTotal effect

Lnsd 0.368
(7.50)
0.560
(1.95)
0.928
(3.10)
Lnrd0.146
(5.29)
−0.283
(−1.95)
−0.137
(−1.92)
Lnpgdp0.175
(4.35)
0.132 
(1.53)
0.307
(3.59)
0.145
(3.46)
0.187
(2.18)
0.332
(3.92)
Lnurban−0.046
(−2.07)
0.127
(2.00)
0.081 
(1.30)
−0.045
(−2.04)
0.146
(2.26)
0.101 
(1.58)
Lnitu0.486
(2.75)
2.321
(2.37)
2.807
(2.92)
0.559
(3.15)
1.488 
(1.51)
2.047
(2.11)
Lninternet−0.291
(−30.55)
0.086
(1.90)
−0.205
(−4.32)
−0.288
(−30.29)
0.091
(2.00)
−0.197
(−4.10)
Lnifa−0.441
(−22.60)
0.087 
(1.49)
−0.353
(−5.94)
−0.430
(−22.54)
0.154
(2.83)
−0.276
(−4.94)
Lnprivate0.041
(3.19)
0.134
(2.35)
0.175
(2.85)
0.042
(3.27)
0.166
(2.83)
0.208
(3.30)

Note: , , and , respectively, represent the significant level of 1%, 5%, and 10%.