Preferences of extensive livestock farmers for wildfire prevention grazing programs: Evidence from a discrete choice experiment in Spain

Last registered on April 06, 2026

Pre-Trial

Trial Information

General Information

Title
Preferences of extensive livestock farmers for wildfire prevention grazing programs: Evidence from a discrete choice experiment in Spain
RCT ID
AEARCTR-0018148
Initial registration date
April 02, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
April 06, 2026, 8:17 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
CSIC

Other Primary Investigator(s)

PI Affiliation
University of Zaragoza
PI Affiliation
University of Zaragoza
PI Affiliation
Polytechnic Univeristy of Madrid (UPM)

Additional Trial Information

Status
In development
Start date
2026-04-12
End date
2026-09-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study investigates the preferences of extensive livestock farmers for participation in public programs aimed at reducing wildfire risk through targeted grazing. In several Mediterranean regions, grazing is used as a vegetation management tool to reduce fuel loads and maintain strategic firebreaks. Public administrations increasingly consider compensating livestock farmers for providing this ecosystem service.
To understand how such programs should be designed, we implement a discrete choice experiment (DCE) with extensive livestock farmers in Spain. Respondents are asked to choose between alternative program designs characterized by different operational conditions and payment levels. Respondents complete nine choice tasks comparing two program alternatives and an opt-out option.

The study estimates farmers’ preferences using multinomial logit, random parameter logit, and latent class models. Models will also be estimated in willingness-to-accept (WTA) space to derive compensation levels required for participation in wildfire prevention grazing programs.

The results will provide evidence on how targeted grazing policies can be designed to improve participation among livestock farmers.
External Link(s)

Registration Citation

Citation
Olaizola, Ana Maria et al. 2026. "Preferences of extensive livestock farmers for wildfire prevention grazing programs: Evidence from a discrete choice experiment in Spain." AEA RCT Registry. April 06. https://doi.org/10.1257/rct.18148-1.0
Experimental Details

Interventions

Intervention(s)
This study investigates livestock farmers’ preferences for participation in public programs that use controlled grazing as a wildfire prevention tool. Respondents complete a survey including a discrete choice experiment in which they are asked to choose between alternative program designs for wildfire prevention grazing.
The program alternatives vary in terms of operational requirements and financial compensation. Farmers evaluate different program designs and may also choose not to participate in the program.
Intervention (Hidden)
The intervention consists of a discrete choice experiment embedded in a survey administered to extensive livestock farmers in Spain. Respondents are presented with a hypothetical public program that compensates farmers for providing wildfire prevention services through controlled grazing in strategic areas such as fuel breaks.
In each choice task, respondents choose between two alternative program contracts and an opt-out option (“no participation”). The program alternatives are defined by four attributes:
1. Share of the herd enrolled in the program (less than 30%, 30–60%, more than 60%)
2. Distance between the farm and the designated grazing area (<5 km, 5–10 km, >10 km)
3. Cooperation requirements with another livestock farmer (no cooperation, cooperation with a farmer chosen by the respondent, cooperation with a farmer assigned by the administration)
4. Maximum payment per hectare (€50–€300)
The experimental design includes 18 choice situations divided into two blocks, with each respondent completing 9 choice tasks. Respondents are randomly assigned to one of the two blocks while order of choice cards within the blocks is randomized across respondents.
The experimental design was generated using NGENE with a D-efficient design algorithm based on prior parameter assumptions. The resulting design achieved a D-error of 0.08658.
Intervention Start Date
2026-04-12
Intervention End Date
2026-09-30

Primary Outcomes

Primary Outcomes (end points)
The observed outcome variable is the choice made by the respondent in each choice task.
For each choice situation, respondents select one of three alternatives:
• Program A
• Program B
• Opt-out (no participation)
Primary Outcomes (explanation)
These choices constitute the dependent variable used to estimate farmers’ preferences for the attributes of wildfire prevention grazing programs.
The main quantities of interest derived from these models are:
• taste parameters associated with program attributes
• willingness-to-accept (WTA) estimates for participation conditions.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary outcomes include:
• stated reasons for choosing the opt-out alternative
• attitudinal variables related to cooperation, risk preferences, and farm management objectives
• farm structural characteristics.
Secondary Outcomes (explanation)
These variables will be used to explore observed heterogeneity in preferences.

Experimental Design

Experimental Design
This study uses a survey-based discrete choice experiment to elicit livestock farmers’ preferences for wildfire prevention grazing programs. Respondents are presented with a series of choice tasks in which they select their preferred option among two alternative program contracts and an opt-out alternative (no participation).



Each respondent completes nine choice tasks and is randomly assigned to one of two blocks of the experimental design.
Experimental Design Details
The program alternatives vary along four attributes: the share of the herd enrolled in the program, the distance to the grazing area, the cooperation requirements with another livestock farmer, and the payment offered per hectare.

The experiment is implemented as a discrete choice experiment embedded in a survey administered to extensive livestock farmers in Spain.

Each choice task presents respondents with three alternatives: two program alternatives and an opt-out option representing non-participation.

Program alternatives are defined by four attributes:

share of the herd enrolled in the program (three levels),
distance between the farm and the grazing area (three levels),
cooperation requirements with another livestock farmer (three levels),
maximum payment per hectare (six levels ranging from €50 to €300).

The experimental design consists of 18 choice situations divided into two blocks, with each respondent completing nine choice tasks.

The design was generated using NGENE with a D-efficient design algorithm based on prior parameter assumptions. The resulting design achieved a D-error of 0.178.

The sequence of choice tasks within each block is fixed for respondents assigned to that block.
Randomization Method
Computer-generated random assignment of respondents to blocks by the survey platform.
Randomization Unit
The unit of randomization is the individual respondent (livestock farmer). Each respondent is randomly assigned to one of two blocks of the experimental design.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Not applicable
Sample size: planned number of observations
The study aims to collect 200 responses from livestock farmers while 100 responses is considered as the minimum threshold required to estimating discrete choice models with the number of attributes included in the experiment. Recruitment will occur through livestock cooperatives, farmer associations, and professional networks.
Sample size (or number of clusters) by treatment arms
Block 1 of the experimental design assigned to half of the sample
Block 2 of the experimental design assigned to half of sample
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Comisión de Ética en la Investigación (CEIN), Universidad de Zaragoza
IRB Approval Date
2025-07-15
IRB Approval Number
AO_CEIN_2025_22

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials