Table 13 GTWR model regression results.

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

0.3255***

0.0677***

0.1376***

0.1202***

DE AICc

−25640.1

−43982.1

−34989.7

−37815.4

DE R2

0.469623

0.430475

0.35638

0.480184

ID

0.0912***

0.0200***

0.0394***

0.0318***

ID AICc

−24076.5

−42847.7

−34039.6

−36030.2

ID R2

0.327305

0.323089

0.256054

0.318198

IDV

0.2580***

0.0526***

0.1043***

0.1011***

IDV AICc

−25077.7

−43537.2

−34592.9

−37308.2

IDV R2

0.422693

0.39101

0.316763

0.438888

DTD

0.1163

0.0240

0.0522

0.0402

DTD AICc

−24626.1

−43277.2

−34438.6

−36561.2

DTD R2

0.381258

0.365954

0.299949

0.371113

  1. *** indicates significance at the 1% level. AICc is a corrected Akaike Information Criterion, which evaluates the trade-off between model fit and complexity. The lower the AICc (whether positive or negative), the better the overall performance of the model.