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Table 1 Description of dependent and independent variables tested in mixed logistic regression models for the willingness to pay for using prescribed fire

From: Forest landowner values and perspectives of prescribed fire in the Northeast/Mid-Atlantic region of the United States

Name

Description

Coding

Dependent variable

 Choice (WTP)

Willingness to enroll in a prescribed fire program?

Binary*: 1 = yes, 0 = no

Independent variables

Program attributes (factors and levels used in choice experiment)

 Ecological outcomes (EO)

0. Promote oak regeneration

Reference level (− 1)+

1. Improve wildlife habitat

1 = EO_1, and 0 if else

2. Restore rare vegetation

1 = EO_2, and 0 if else

 

3. Maintain forest health

1 = EO_3, and 0 if else

 Management benefits (MB)

0. Reduce management costs

Reference level (− 1)

1. Control invasive plant species

1 = MB_1, and 0 if else

2. Reduce ticks that harm humans

1 = MB_2, and 0 if else

 

3. Reduce tree/plant pests

1 = MB_3, and 0 if else

 Support resources (SR)

0. Landowner training

Reference level (− 1)

1. Prescribed fire associations

1 = SR_1, and 0 if else

2. State agency coordination

1 = SR_2, and 0 if else

 

3. Financial assistance: cost share

1 = SR_3, and 0 if else

 Institutional factors (IF)

0. Reduce legal liability

Reference level (− 1)

1. Access to qualified consultants

1 = IF_1, and 0 if else

2. Access to qualified burn bosses

1 = IF_2, and 0 if else

 

3. Relaxed standards

1 = IF_3, and 0 if else

 Price

Cost of burning per ha (or per acre)

Categorical: $49 ($20), $124 ($50), $309 ($125), $494 ($200)

Psychological factors

 Trust

Trust in prescribed fire implementers (total score)

Continuous: 1 = low trust, 5 = high trust

 Risk

Perceived risk of prescribed fire (total score)

Continuous: 1 = low risk, 5 = high risk

Landowner characteristics

 Assistance program

Past use of government assistance

Binary: 1 = previously enrolled in an assistance program, 0 if else

 Pennsylvania

State of residence

Binary: 1 = Pennsylvania, 0 if else

 Virginia

State of residence

Binary: 1 = Virginia, 0 if else

 New York

State of residence

Binary: 1 = New York, 0 if else

 Maryland

State of residence

Binary: 1 = Maryland, 0 if else

 Income

Annual household income

Ranked categories: 1 =  < $20 k, 2 = $20 k to < $50 k, 3 = $50 k to < $80, 4 = $80 k to < $100 k, 5 = $100 k to < $150 k, 6 = $150 k to < $250, 7 = $250 k & more

 Age

Age of respondent (years)

Ranked: Categories: 1 = 18 to 24, 2 = 25 to 34, 3 = 35 to 44, 4 = 45 to 54, 5 = 55 to 64, 6 = 65 to 74, 7 = 75 or older

  1. *Observations were recoded to 0 if the associated response on the 10-point confidence scale was ≤ 5. +Program attributes were effect coded