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Research ArticleArticles

Assessments of Citizen Willingness to Support Urban Forestry: An Empirical Study in Alabama

Yaoqi Zhang and Bin Zheng
Arboriculture & Urban Forestry (AUF) May 2011, 37 (3) 118-125; DOI: https://doi.org/10.48044/jauf.2011.016
Yaoqi Zhang
Yaoqi Zhang (correspondence author), School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, U.S.,
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  • For correspondence: [email protected]
Bin Zheng
Bin Zheng, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, U.S.
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  • Article
  • Figures & Data
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Article Figures & Data

Tables

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    Table 1.

    Statistical summary of the participants.

    VariablesMean (std. dev)
    Should donate money48 (50)
    Would donate money34 (36)
    Annual income (in USD $1,000)66 (33)
    Age51 (13)
    Family size2 (1)    
    # of children < 18 years old      0.49 (0.93)
    Frequency (%) N = 476
    Employee status
        Employed60
        Retired and unemployed39
    Education level
        ≤ high school13
        Some college25
        Bachelor’s or higher61
    Race
        African-American or others14
        White/Caucasian85
    Male60
    • View popup
    Table 2.

    Ranking importance of urban forestry and management (N = 470).

    Frequency (%)Mean (std.dev)
    1234567
    very importantEmbedded Imagenot important
    Urban tree benefits and negative impact
    Benefits
    Appearance of the community48.7328.1814.19  7.42  0.42  0.42  0.421.86 (1.08)
    Improvement in air quality47.9722.8117.70  8.53  1.49  0.85  0.641.98 (1.20)
    Control runoff, soil erosion44.6822.7721.06  8.09  2.13  0.64  0.642.05 (1.20)
    Creation of buffer zones43.1024.8419.32  8.49  2.76  1.06  0.422.08 (1.22)
    Increase in property values37.0028.7520.5110.15  1.48  0.21  1.902.19 (1.26)
    Reduction of noise levels40.8924.5818.86  7.63  4.87  2.12  1.062.22 (1.38)
    Decrease in energy costs36.4028.6918.6311.35  2.36  0.86  1.712.24 (1.31)
    Increase in community pride33.9027.5122.3911.09  2.99  1.28  0.852.29 (1.27)
    Creation of wildlife habitat41.1918.0518.9013.38  5.73  1.06  1.702.34 (1.46)
    Improvement in health34.7025.8620.4713.36  2.16  2.16  1.292.34 (1.36)
    Recreational opportunities24.5222.1724.9519.40  5.33  1.71  1.922.72 (1.41)
    Negative impacts
    Property damage21.1513.6818.3820.9411.54  8.97  5.343.36 (1.79)
    Safety problem19.5712.3417.6621.4913.62  9.57  5.743.49 (1.79)
    Costs planting & maintenance12.3110.8320.1725.0514.23  9.13  8.283.79 (1.72)
    Importance of applying tree ordinances
    New construction site50.0021.70  9.5710.64  2.34  1.91  3.832.15 (1.57)
    Public property55.2521.8410.49  7.49  2.14  0.43  2.361.90 (1.34)
    Individually-owned yard17.4513.1917.2318.72  8.30  8.0917.023.80 (2.04)
    Having tree on property47.6123.0814.55  8.52  3.53  1.04  1.662.07 (1.36)
    Having tree on community54.4725.1610.60  6.44  2.08  0.42  0.831.81 (1.16)
    • View popup
    Table 3.

    Ordered logistic results and marginal effect for having tree on property and community. Funds in U.S. dollars.

    VariablesHave tree on property (Y1)Have trees in community (Y2)
    Ordered logitMarginal effect %Ordered logitMarginal effect %
    Y1 = lowY1 = medianY1 = highY2 = lowY2 = medianY2 = high
    Intercept 1  1.75z (0.13)  2.01z (0.15)
    Intercept 2−0.44 (0.93)−0.37 (0.95)
    Benefit of tree−0.001 (0.01)  0. 03−0. 01−0. 02−0.0004 (0.011)  0. 01−0. 006−0. 004
    Negative impact−0.04 (0.03)  1.01−0. 42−0. 58−0.07z (0.03)  1.78−1.03−0. 74
    Awareness of tree service  0.004 (0.07)−0.10  0.04  0.06−0.03 (0.07)  0.63−0.37−0. 27
    Family size  0.21 (0.16)−5.07  2.14  2.93  0.25 (0.16)−6.06  3.51  2.54
    Child < 18 yrs−0.15 (0.20)  3.72−1.57−2.15−0.20 (0.21)  4.72−2.74−1.98
    College  0.63y (0.33)−15.39  6.49  8.89  0.70z (0.34)−17.00  9.86  7.13
    Bachelor  0.16 (0.31)−3.78  1.57  2.18  0.27 (0.32)−6.55  3.80  2.74
    White  0.34 (0.29)−8.26  3.49  4.77  0.43 (0.29)−10.27  5.96  4.31
    Male−0.09 (0.21)  2.10−0. 89−1.22−0.21 (0.21)  5.15−2.99−2.16
    Age−0.003 (0.008)−0. 08  0. 03−0. 04  0.002 (0.008)−0. 05  0.03  0.02
    Income (in thousand $)  0.001 (0.003)−0. 03  0. 01  0. 02  0.001 (0.003)−0. 04  0.02  0. 02
    Employed−0.41y (0.23)  9.92−4.18−5.73−0.32 (0.23)  7.56−4.38−3.17
    χ215.2215.94
    Likelihood ratio13.0014.46
    • ↵zstatistically significant at 5% level

    • ↵ystatistically significant at 10% level

    • Note: “Awareness of trees service” is defined as the total number of forestry agency he/she knew at the time of the survey. Values in parenthesis indicate standard error.

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    Table 4.

    The attitudes and preference for financing community trees programs.

    Frequency (%)Mean (std. dev)
    Variables1234567
    very importantEmbedded Imagenot important
    State sales tax  7.4010.7611.4318.1611.21  8.0732.964.71 (2.03)
    Local property tax14.3214.5414.9915.88  8.50  7.3824.384.09 (2.14)
    Estate tax  7.34  5.73  8.4919.04  9.6310.0939.685.07 (1.98)
    Alcohol and tobacco tax30.4610.8211.2615.67  5.74  4.1921.853.55 (2.30)
    State income tax  8.50  9.4014.7718.34  9.84  8.2830.874.60 (2.04)
    Corporate income tax23.4512.8314.8215.49  5.53  6.1921.683.72 (2.23)
    Private donations42.6422.8613.8511.87  2.86  1.10  4.842.32 (1.61)
    Others38.3710.47  6.98  9.30  2.33  3.4929.073.35 (2.57)
    • View popup
    Table 5.

    Regression results for donation willingness. Funds in U.S. dollars.

    VariablesShould donate ($ per family)Would donate ($ per family)
    Intercept22.20 (16.32)−19.71 (12.04)
    Awareness of tree service  1.89 (1.71)  2.29z (1.19)
    Family size  0.55 (3.82)−3.91 (3.00)
    Child < 18 yrs−4.74 (4.99)−0.50 (3.61)
    College  6.10 (8.19)  6.06 (5.97)
    Bachelor’s degree  9.42 (7.86)−0.54 (5.73)
    White18.08z (6.78)  2.07 (4.96)
    Male−14.01z (5.17)−6.58y (3.76)
    Age  0.07 (0.21)−0.01 (0.17)
    Income (in thousand $)  0.17z (0.08)  0.27z (0.06)
    Employed−2.26 (5.76)  5.30 (4.28)
    R2  0.10  0.13
    F-value (χ2)  2.80  3.52
    • ↵zstatistically significant at 5% level

    • ↵ystatistically significant at 10% level

    • Note:Values in parenthesis indicate standard error.

    • View popup
    Table 6.

    Ordered logistic results and marginal effect for alcohol & tobacco tax. Funds in U.S. dollars.

    VariablesAlcohol & tobacco tax (Y3)
    Ordered logistic estimateMarginal effect %
    Y3 = lowY3 = medianY3 = high
    Intercept 1  0.99z (0.09)
    Intercept 2−1.3ly (0.92)
    Awareness of tree service−0.06 (0.06)  1.36−0.32−1.04
    Family size  0.05(0.16)−1.13  0.27  0.86
    Child < 18 yrs−0.05 (0.20)  1.09−0.26−0.83
    College  0.73y (0.34)−17.61  4.1613.44
    Bachelor’s degree  0.56z (0.33)−13.58  3.2110.36
    White  0.18 (0.28)−4.45  1.05  3.40
    Male  0.29 (0.21)−7.02  1.66  5.36
    Age  0.01 (0.008)−0.26  0.06  0.20
    Income (in thousand $)  0.002 (0.003)−0.05  0.01  0.04
    Employed−0.002 (0.23)  0.06−0.01−0.04
    χ231.04
    Likelihood Ratio14.92
    • ↵zstatistically significant at 5% level

    • ↵ystatistically significant at 10% level

    • Note:Values in parenthesis indicate standard error.

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Arboriculture & Urban Forestry (AUF): 37 (3)
Arboriculture & Urban Forestry (AUF)
Vol. 37, Issue 3
May 2011
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Assessments of Citizen Willingness to Support Urban Forestry: An Empirical Study in Alabama
Yaoqi Zhang, Bin Zheng
Arboriculture & Urban Forestry (AUF) May 2011, 37 (3) 118-125; DOI: 10.48044/jauf.2011.016

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Assessments of Citizen Willingness to Support Urban Forestry: An Empirical Study in Alabama
Yaoqi Zhang, Bin Zheng
Arboriculture & Urban Forestry (AUF) May 2011, 37 (3) 118-125; DOI: 10.48044/jauf.2011.016
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Keywords

  • Green Infrastructure
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