Table 3 Full model coefficients:...

Table 3

Full model coefficients: predictors of green digital tool adoption (model 4, N = 671)

Predictor	b	SE	t	p
Block 1: Sociodemographics
Age	−0.018	0.003	−5.65	< 0.001
Gender (female vs. male)	−0.107	0.079	−1.36	0.176
Education: secondary vs. basic	0.094	0.221	0.42	0.673
Education: post-secondary vs. basic	0.204	0.231	0.88	0.377
Education: university vs. basic	0.147	0.241	0.61	0.542
Settlement: town vs. rural	0.047	0.106	0.45	0.655
Settlement: major city vs. rural	0.586	0.099	5.92	< 0.001
Financial: average vs. poor	0.109	0.121	0.90	0.368
Financial: good vs. poor	0.093	0.134	0.70	0.487
Block 2: Digital lifestyle
Digital skills	0.100	0.051	1.98	0.048
Device use	0.176	0.041	4.26	< 0.001
Culture use	0.116	0.039	2.96	0.003
Civic use	0.268	0.060	4.49	< 0.001
E-service use	0.170	0.050	3.42	< 0.001
Citizen science use	0.063	0.046	1.35	0.176
Block 3: AI awareness
AI awareness (no vs. yes)	−0.099	0.106	−0.94	0.347
Block 4: Environmental attitudes
Environmental attitudes	0.166	0.061	2.71	0.007

Predictor	b	SE	t	p
Block 1: Sociodemographics
Age	−0.018	0.003	−5.65	< 0.001
Gender (female vs. male)	−0.107	0.079	−1.36	0.176
Education: secondary vs. basic	0.094	0.221	0.42	0.673
Education: post-secondary vs. basic	0.204	0.231	0.88	0.377
Education: university vs. basic	0.147	0.241	0.61	0.542
Settlement: town vs. rural	0.047	0.106	0.45	0.655
Settlement: major city vs. rural	0.586	0.099	5.92	< 0.001
Financial: average vs. poor	0.109	0.121	0.90	0.368
Financial: good vs. poor	0.093	0.134	0.70	0.487
Block 2: Digital lifestyle
Digital skills	0.100	0.051	1.98	0.048
Device use	0.176	0.041	4.26	< 0.001
Culture use	0.116	0.039	2.96	0.003
Civic use	0.268	0.060	4.49	< 0.001
E-service use	0.170	0.050	3.42	< 0.001
Citizen science use	0.063	0.046	1.35	0.176
Block 3: AI awareness
AI awareness (no vs. yes)	−0.099	0.106	−0.94	0.347
Block 4: Environmental attitudes
Environmental attitudes	0.166	0.061	2.71	0.007

Note(s): Weighted by population weight (w_lam3). Significant predictors (p < 0.05) shown in bold. Reference categories: male, basic education, rural settlement, poor financial situation, AI aware.

Source(s): Authors’ own work

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