Table 10 Heterogeneity test results by per capita GDP level.

From: The impact and moderating mechanisms of digital inclusive finance on public services in Chinese counties

Variable

Livser

Infser

Region

Column(1)

Low-Income Level

Column(2)

High-Income Level

Column(3)

Middle-Income Level

Column(4)

Low-Income Level

Column(5)

High-Income Level

Column(6)

Middle-Income Level

dig

0.5028068*** (3.63)

 − 0.0135169 (− 0.56)

 − 0.0223286** (− 2.05)

0.0493285** (2.11)

 − 0.0147386** (− 2.41)

0.1527839*** (3.23)

W × dig

3.1847363*** (2.96)

0.1135746*** (2.69)

0.0387552 (0.35)

0.3147298** (2.16)

 − 0.0927348** (− 2.04)

 − 0.0924351*** (− 2.88)

Direct effect

0.4004097*** (2.64)

 − 0.0134692 (− 0.87)

 − 0.0278715** (− 2.08)

0.0290874* (1.65)

 − 0.0142837** (− 2.09)

0.1382154*** (3.45)

Spatial spillover effect

1.7885717** (2.37)

0.0915638** (2.34)

0.0254348 (0.48)

0.1673289* (1.78)

 − 0.0624518* (− 1.74)

 − 0.0583727** (− 2.33)

Total effect

2.1889814*** (2.71)

0.0780946* (1.77)

 − 0.0024367 (− 0.11)

0.1964163** (2.04)

 − 0.0767355* (− 1.87)

0.0798427*** (2.67)

Control variables

Yes

Yes

Yes

Yes

Yes

Yes

Individual fixed effects

Yes

Yes

Yes

Yes

Yes

Yes

Year fixed effects

Yes

Yes

Yes

Yes

Yes

Yes

Sigma2_e

0.0029326*** (9.92)

0.0000456*** (9.72)

0.0000486*** (9.42)

0.003982*** (8.45)

5.87e − 06*** (10.14)

0.0028154*** (9.47)

Log-likelihood

240.5201

723.5162

722.7318

327.2426

915.1357

263.1483

Spatial rho

 − 0.777104** (− 2.53)

 − 0.8796453*** (− 2.93)

 − 0.6836457** (− 2.23)

 − 0.9842391*** (− 2.97)

 − 0.5471021* (− 1.72)

 − 0.7548216** (− 2.36)

Goodness of fit

0.6379

0.5824

0.3529

0.3125

0.4823

0.2226

Number of observations

10,530

4845

6300

10,530

4845

6300

  1. Note: *, **, *** denote significance at the 10%, 5%, and 1% levels respectively. Values in parentheses are corresponding z-statistics. Due to space constraints, interaction term results for control variables are not reported in the table.