Results of Random Effects Regression Models for the Vignette Attributes and Controls for Sociodemographic, Belief, and Knowledge Variables
Attribute | Attribute Level | Model 1 | p-value | Model 2 | p-value |
---|---|---|---|---|---|
Location (ref. your property) | On your neighbors’ property | 0.152* | 0.052 | 0.157 | 0.232 |
On the other side of your county | 0.382*** | 0.000 | 0.409*** | 0.003 | |
Neighbor compensation (ref. no compensation) | Receive equal compensation amounts as | 0.548*** | 0.000 | 0.569*** | 0.001 |
the landowner hosting the turbines Receive some compensation | 0.907*** | 0.000 | 0.967*** | 0.000 | |
Ownership structure (ref. private utility company) | Your municipality | 0.282*** | 0.000 | 0.297** | 0.016 |
A local cooperative | 0.418*** | 0.000 | 0.453*** | 0.000 | |
Inclusion (ref. landowners with turbines only) | Only neighbors who are directly affected | 0.723*** | 0.000 | 0.730*** | 0.000 |
All county residents | 0.584*** | 0.000 | 0.602*** | 0.000 | |
Influence (ref. express concerns only) | Express concern and potentially sway | −0.257*** | 0.001 | −0.297** | 0.016 |
Have direct say | −0.083 | 0.285 | −0.102 | 0.366 | |
Access to information (ref. confidential) | Will be made available to some affected | 0.323*** | 0.000 | 0.371*** | 0.003 |
Will be publicly available | 0.303*** | 0.000 | 0.331*** | 0.006 | |
Climate concern (environmental attitude) | 0.659*** | 0.006 | |||
Community excitement about new wind farms (norm) | 1.878*** | 0.000 | |||
Experience with wind farms (history) | −0.075 | 0.338 | |||
Age (young) | 0.734 | 0.225 | |||
Knowledge about wind energy | 0.395*** | 0.000 | |||
Small land holding (farm size) | 0.541** | 0.032 | |||
Conservative political views | 0.574** | 0.023 | |||
Constant | 4.377*** | 0.000 | 2.730*** | 0.000 | |
Number of vignettes | 2,406 | 2,226 | |||
Number of respondents | 401 | 371 | |||
Log-likelihood | −10,841.88 | −5,237.74 | |||
SD random effect | 2.621 | 1.933 | |||
SD error | 2.028 | 2.212 | |||
Intraclass correlation | 0.625 | 0.605 |