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. 2023 Dec 21;11:1281405. doi: 10.3389/fpubh.2023.1281405

Table 8.

Heterogeneity analysis based on gender and education level.

Sex Education level
Female Male Low Middle High
(1) (2) (3) (4) (5)
Digital 2.9428*** (0.6714) 1.1342 (0.7400) 0.6423 (0.5427) −0.9487 (1.4326) −25.9688** (12.1538)
digital_sq −6.3216*** (1.5297) −2.4354*** (1.5503) −2.2809* (1.1918) 1.2241 (3.1113) 50.8785* (26.7211)
Gender −0.1245*** (0.0151) −0.1869*** (0.0316) −0.1576 (0.2556)
Education −0.0242*** (0.0050) −0.0332*** (0.0058)
Marital −0.0037 (0.0044) 0.0050 (0.0059) −0.0010 (0.0036) 0.0045 (0.0113) −0.0920 (0.0796)
Age 0.0115*** (0.0010) 0.0149*** (0.0010) 0.0132*** (0.0007) 0.0153*** (0.0019) 0.0251*** (0.0083)
lnGDP −0.1639*** (0.0123) −0.1268*** (0.0134) −0.1876*** (0.0101) −0.0974*** (0.0218) 0.0724 (0.1071)
Population 0.0002*** (0.0000) 0.0002*** (0.0000) 0.0002*** (0.0000) 0.0002*** (0.0000) 0.0001 (0.0002)
Urbanization 0.2434 (0.2171) 0.0185 (0.2449) 0.3358* (0.2009) 0.4259 (0.4020) 0.1722 (1.1306)
_cons 3.1898*** (0.1643) 2.8305*** (0.1879) 3.3280*** (0.1438) 2.5517*** (0.3043) 2.5748 (1.5540)
N 20,264 17,191 29,914 6,929 225
r2_a 0.0308 0.0425 0.0380 0.0114 −0.4810

Standard errors in parentheses. *p < 0.1, **p < 0.05, ***p < 0.01.