Table 16 Moderating effect of per capita GDP in the impact of digital economy.

From: Spatiotemporal impacts and nonlinear moderating effects of the digital economy on county-level public services in western China

Variable

BPS

LI

SWF

SECS

DE

0.0318*** (0.0062)

0.0086*** (0.0018)

0.0124*** (0.0045)

0.0143*** (0.0020)

W × DE

−0.0462*** (0.0216)

−0.0083** (0.0062)

−0.0212* (0.0157)

−0.0161** (0.0068)

Direct Effect

0.0324*** (0.0064)

0.0078*** (0.0018)

0.0132*** (0.0046)

0.0174*** (0.0020)

Spatial Spillover Effect

−0.0583*** (0.0338)

−0.0081** (0.0143)

−0.0282* (0.0205)

−0.0193** (0.0144)

Total Effect

−0.0259** (0.0341)

−0.0003** (0.0145)

−0.0150* (0.0205)

−0.0019** (0.0146)

DE×PGDP

0.5389*** (0.0511)

0.1620*** (0.0147)

0.0993*** (0.0370)

0.2787*** (0.0160)

W×DE×PGDP

0.4367 (0.2183)

0.0377 (0.0627)

0.1674 (0.1572)

0.2303* (0.1181)

Direct Effect

0.4417*** (0.0465)

0.1616*** (0.0135)

0.0992*** (0.0336)

0.2811*** (0.0146)

Spatial Spillover Effect

0.4297 (0.3500)

0.0365 (0.1480)

0.2548 (0.2116)

0.2546* (0.1489)

Total Effect

0.8714*** (0.3532)

0.1981 (0.1501)

0.3540* (0.2124)

0.5356*** (0.1509)

Control Variables

Yes

Yes

Yes

Yes

Individual Fixed Effects

Yes

Yes

Yes

Yes

Time Fixed Effects

Yes

Yes

Yes

Yes

Sigma2_e

0.0001449*** (2.50e-06)

0.000012*** (2.08e-07)

0.0000758*** (1.31e-06)

0.0000141*** (2.46e-07)

Log-likelihood

20297.4199

28691.8258

22493.0905

28154.1235

Spatial rho

0.3667*** (0.0355)

0.5712*** (0.0320)

0.2410*** (0.0370)

0.5343*** (0.0326)

Adjusted R2

0.3417

0.3058

0.2763

0.3146

Number of Observations

6768

6768

6768

6768

  1. *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.