Open Access

Landowner Acceptance of Wind Turbines on Their Land: Insights from a Factorial Survey Experiment

John R. Parkins, Sven Anders, Jürgen Meyerhoff and Monique Holowach

Article Figures & Data

Figures

Tables

  • Table 1

    Attribute Levels Used in the Study

    AttributeLevels
    LocationOn your property*
    On the other side of your county
    On your neighbors’ property
    Neighbor compensationNot receive any compensation*
    Also receive some compensation
    Receive equal compensation amounts as the landowner hosting the turbines
    Ownership structureA private utility company*
    Your municipality
    A local cooperative
    InclusionOnly the landowners with turbines*
    All county residents
    Only the neighbors who are directly affected
    InfluenceExpress concern about the project*
    Express concern and potentially sway
    Have direct say (e.g., through voting, public meetings)
    Access to informationWill be confidential*
    Will be made available to some affected
    Will be publicly available
    • * represents status quo in the province.

  • Table 2

    Respondent Sample Descriptive Statistics

    VariablenMean(SD)Min.Max.
    Farm Manager Characteristics
    Gender (1=male, 0=female)4000.90 (0.30)01
    Age in years (1=18-24; 2=25-34; 3=35-44; 4=45-54; 5=55-64; 6=65-74; 7=≥75)3974.84 (1.20)27
    Primary decision maker for this farm (1=yes; 2=no)4011.03 (0.17)12
    Political affiliation
    Conservative2810.70 (0.46)01
    Liberal120.03 (0.17)01
    New Democratic Party170.04 (0.20)01
    Green40.01 (0.01)01
    Other350.03 (0.18)01
    Prefer not to say560.13 (0.34)01
    Do not know220.06 (0.23)01
    Farm Structure
    Type of Farm (n)
    Crops (206), livestock (47), mixed (146) Size (acres)4012,982.53 (4,063.85)1330,500
    % household income from farming (1=0; 2=1-25; 3=26-50; 4=51-75; 5=76-100)4014.46 (0.89)15
    Energy Perception
    Likelihood of installation of renewables (4-point scale: 1=very likely; 4=very unlikely)3422.76 (0.90)14
    Importance of Alberta’s energy sector (5-point scale: 1=not at all important; 5=extremely important)4014.09 (0.81)15
    Knowledge about wind energy (4-point scale: 1=nothing at all; 4=quite a bit)4012.52 (0.81)14
    Climate Change Concerns (5-point scale: 1=strongly disagree; 5=strongly agree)
    I am very concerned about climate change4012.89 (1.22)15
    We still do not know for sure whether climate change is real or caused by humans4013.55 (1.18)15
    Climate change will not be an issue here in Alberta4012.73 (1.11)15
    Alberta adopting renewable energy will help reduce climate change impacts4012.52 (1.26)15
  • Table 3

    Landowner Support for Energy Sources in Canada

    Energy SourcenMeanSDMin.Max.
    Natural gas4014.510.6025
    Oil from oil sands4004.430.7115
    Oil (other than oil sands)3994.270.7315
    Hydroelectricity3964.070.9115
    Bioenergy3893.980.7915
    Solar4013.940.9715
    Geothermal3833.920.8615
    Coal3943.621.1315
    Wind3973.441.2115
    Nuclear3833.051.2715
    • Note: The mean is a 5-point Likert scale with 1=strongly oppose and 5=strongly support.

  • Table 4

    Results of Random Effects Regression Models for the Vignette Attributes and Controls for Sociodemographic, Belief, and Knowledge Variables

    AttributeAttribute LevelModel 1p-valueModel 2p-value
    Location (ref. your property)On your neighbors’ property0.152*0.0520.1570.232
    On the other side of your county0.382***0.0000.409***0.003
    Neighbor compensation (ref. no compensation)Receive equal compensation amounts as0.548***0.0000.569***0.001
    the landowner hosting the turbines Receive some compensation0.907***0.0000.967***0.000
    Ownership structure (ref. private utility company)Your municipality0.282***0.0000.297**0.016
    A local cooperative0.418***0.0000.453***0.000
    Inclusion (ref. landowners with turbines only)Only neighbors who are directly affected0.723***0.0000.730***0.000
    All county residents0.584***0.0000.602***0.000
    Influence (ref. express concerns only)Express concern and potentially sway−0.257***0.001−0.297**0.016
    Have direct say−0.0830.285−0.1020.366
    Access to information (ref. confidential)Will be made available to some affected0.323***0.0000.371***0.003
    Will be publicly available0.303***0.0000.331***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)−0.0750.338
    Age (young)0.7340.225
    Knowledge about wind energy0.395***0.000
    Small land holding (farm size)0.541**0.032
    Conservative political views0.574**0.023
    Constant4.377***0.0002.730***0.000
    Number of vignettes2,4062,226
    Number of respondents401371
    Log-likelihood−10,841.88−5,237.74
    SD random effect2.6211.933
    SD error2.0282.212
    Intraclass correlation0.6250.605
    • Note: Unstandardized coefficients. Standard errors are clustered at the respondent level.

    • * p < 0.1;

    • ** p < 0.05;

    • *** p < 0.01;