The Demand for Voluntary Carbon Dioxide Removal: Experimental Evidence from an Afforestation Project in Germany

Lara Bartels, Martin Kesternich and Andreas Löschel

Article Figures & Data

  • Table 1

    Extensive and Intensive Margin Effects by Treatments

    Hurdle (1)Hurdle (2)
    First StageSecond StageFirst StageSecond Stage
    Co-benefits−0.24−2.14−0.23−1.14
    (0.21)(264)(0.21)(2.36)
    Age0.000.17*
    (0.01)(0.07)
    Female−0.19−2.60
    (0.22)(2.96)
    Constant0.52***6.24*0.63+−0.31
    (0.15)(2.67)(0.33)(4.73)
    Constant2.24***2.17***
    (0.15)(0.14)
    Observations160160

    Note: The table shows the corresponding regression analysis based on two (with and without further control variables) two-stage hurdle models. The first stage consists of probit regression models (where the dependent variable is equal to one for positive donations). The second stage consists of truncated linear regression models (where the continuous dependent variable is the donation amount, assuming donation is made). Robust standard errors are in parentheses.

    • * p < 0.05;

    • ** p < 0.01;

    • *** p < 0.001.

  • Table 2

    Relationship between Distance to Sink in Minutes and Main Outcomes

    Hurdle
    First StageSecond Stage
    Treatment: co-benefits−0.17 (0.24)−1.12 (2.32)
    Age−0.01 (0.01)0.17* (0.07)
    Female−0.22 (0.26)−2.19 (2.88)
    Time−0.05 (0.04)−0.37 (0.41)
    Risk0.04 (0.06)0.80 (0.62)
    Paternalism−0.08 (0.05)−0.54 (0.56)
    Trust0.06 (0.05)0.31 (0.51)
    Complexity0.03 (0.05)−0.19 (0.44)
    Forest coverage0.00 (0.03)−0.23 (0.23)
    Recreational space0.04 (0.11)−1.61 (1.02)
    Agricultural space−0.01 (0.03)−0.34 (0.25)
    Rurality−0.02 (0.01)−0.14 (0.14)
    Wind energy0.00 (0.00)0.00 (0.00)
    Habitat density0.00+ (0.00)0.00 (0.00)
    Distance category (travel time)
     First quartile (0–137.2 min)
     Second quartile (137.3–197.1 min)−1.12* (0.46)−1.76 (4.52)
     Third quartile (197.2–329.5 min)−0.19 (0.42)0.56 (4.06)
     Fourth quartile (329.6–602.6 min)−0.69 (0.46)4.19 (5.04)
    Constant3.06 (2.67)27.81 (22.03)
    Constant hurdle2.05*** (0.13)
    Observations148148

    Note: The table entails a regression analysis based on two-stage hurdle models. The first stage consists of probit regression models (where the dependent variable is equal to one for positive donations and zero otherwise). The second stage consists of truncated linear regression models (where the continuous dependent variable is the donation amount, assuming donation is made). Co-benefits indicate the treatment variation that introduces the additional information on co-benefits. Robust standard errors are in parentheses.

    • + p < 0.10;

    • * p < 0.05;

    • ** p < 0.01;

    • *** p < 0.001.