Table 2 Summary of results from the mixed effect logistic regression model models in the study area (all four regions) p-value < 0.05.
From: Climate change perceptions across four ecological regions in Italy and Austria
Explanatory variable | Estimates (β) | Standard errors (SE) | Wald statistics | P-value |
|---|---|---|---|---|
A. Household characteristics | ||||
Age | 0.028 | 0.012 | 5.234 | 0.022 |
Gender | 0.21 | 0.187 | 1.345 | 0.246 |
Profession of household head | −0.657 | 0.281 | 6.112 | 0.013 |
Employment status | 0.438 | 0.194 | 3.768 | 0.042 |
B. Agricultural characteristics | ||||
Impact on agricultural production | −0.672 | 0.209 | 10.493 | 0.001 |
Adaptation strategies | 0.752 | 0.178 | 15.672 | 0.024 |
C. Biophysical variables | ||||
Temperature change impact | −0.905 | 0.312 | 8.756 | 0.003 |
Precipitation change | −1.32 | 0.287 | 21.498 | 0.001 |
Pests and diseases increase | −0.149 | 0.163 | 12.585 | 0.019 |
D. Impact variables | ||||
Water Scarcity Effects | −0.531 | 0.175 | 6.342 | 0.012 |
Vegetation Zone Shift | −0.292 | 0.118 | 4.194 | 0.018 |
Social Network Influence | 0.604 | 0.201 | 9.021 | 0.002 |
Demographic Changes | −0.376 | 0.164 | 4.821 | 0.028 |
Farmer-Institution Relationship | 0.287 | 0.142 | 3.981 | 0.146 |
