Table 7.
Multiple regression analysis identifying social characteristics explaining the variation in people’s values of ‘Direct Provisioning’ ecosystem services. The most parsimonious candidate models with model averaged parameter estimates where Δ AICc < 2, are shown. Participant’s gender, employment status, ethnicity, country of residence and age were entered into the model (n = 198). Excluding age, all variables were categorical. Categorical variables were incorporated into the regression using dummy coding. A reference variable was chosen, and the significance of alternative social characteristics was calculated through comparison to the reference variable. Significant difference of social characteristics from reference characteristic is indicated for p = 0.01 (*); 0.001 (**); >0,001 (***). Parameter estimates are provided with standard errors.
| Variable | Model |
Model average | |
|---|---|---|---|
| 1 | 2 | ||
| Intercept | 1.73 ± 0.07 | 1.91 ± 0.17 | 1.82 ± 0.12 |
| Ethnicity (ref: White): | |||
| Any other ethnicity* | 0.33 ± 0.15 | 0.31 ± 0.15 | 0.32 ± 0.15 |
| Country (ref: England): | |||
| Scotland** | 0.68 ± 0.25 | 0.74 ± 0.25 | 0.71 ± 0.25 |
| Wales | −0.17 ± 0.26 | −0.17 ± 0.25 | −0.17 ± 0.25 |
| Age | – | −0.01 ± 0.01 | −0.01 ± 0.01 |
| AICc | 435.55 | 436.43 | |
| Akaike weight | 0.26 | 0.17 | |
| r2 | 0.06 | 0.07 | 0.07 |