Environmental resilience and intention to migrate: understanding the context of small tropical islands

Last registered on April 01, 2026

Pre-Trial

Trial Information

General Information

Title
Environmental resilience and intention to migrate: understanding the context of small tropical islands
RCT ID
AEARCTR-0018227
Initial registration date
March 27, 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 01, 2026, 10:10 AM EDT

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

Locations

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Primary Investigator

Affiliation
University of Göttingen

Other Primary Investigator(s)

PI Affiliation
University of Göttingen
PI Affiliation
University of Göttingen

Additional Trial Information

Status
On going
Start date
2025-10-01
End date
2027-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Climate change is expected to increase the frequency and severity of extreme weather events, which will have significant implications for economic behaviour, including decisions to migrate. Although an increasing body of literature examines the relationship between climate and migration, most studies rely on aggregated data, raising concerns about ecological fallacies when inferring individual behaviour. Therefore, complementary micro-level approaches have focused on the role of environmental risk perceptions in shaping migration intentions. However, the measures used in these studies are often based on self-reported perceptions, which are subject to measurement error and endogeneity. In particular, unobserved factors —such as institutional quality or perceived environmental safety— may influence both risk perceptions and migration intentions together, which can bias estimates. This study addresses these challenges by conducting a micro-level analysis in Indonesia that focuses on a small island context which is highly vulnerable to climate-related risks, including extreme weather events and rising sea levels. To address potential endogeneity concerns, we construct a novel measure of coastal resilience in local communities and use it as an instrument for environmental risk exposure. Our findings aim to provide more credible evidence of the behavioural mechanisms linking climate risk perceptions to migration, offering policy-relevant insights for vulnerable regions. Therefore, our work contributes to the literature on migration and environmental economics by providing a novel measure and applying it to analyse highly vulnerable regions.
External Link(s)

Registration Citation

Citation
Duarte Lisboa Paschoaleto, Rafael, Phidju Marrin Sagala and Sekar Yunita. 2026. "Environmental resilience and intention to migrate: understanding the context of small tropical islands." AEA RCT Registry. April 01. https://doi.org/10.1257/rct.18227-1.0
Experimental Details

Interventions

Intervention(s)
The field experiment consists of an incentivised activity in which participants will be asked to perform a series of tasks and answer a series of questions in order to determine the dependent, independent and control variables to be used in the analysis. The experiment will be conducted on the Pagai Islands (North and South Pagai), located off the western coast of Sumatra, Indonesia. These islands were among the areas most severely affected by the 2010 Mentawai earthquake and tsunami. Data will be collected on site with the help of local enumerators.

The fieldwork is planned to last 3 weeks in April 2026. Researchers will visit local communities and recruit individuals by randomly selecting households in the region to visit. Participants will be invited to take part in the experiment on the spot, with no prior communication. Respondents can decide whether to participate voluntarily and can reject the invitation at any time without penalty. To enable them to make an informed decision, potential participants will receive sufficient information about the study's objectives, topics and the types of data to be collected, as well as the purposes of the analyses, when they are invited to participate. Field enumerators will give respondents who decide to participate a printed copy of the informed consent, including contact information and the data protection regulation. A total of 15 local community groups will be visited, with around 20 interviews conducted in each community. The questionnaire will be administered using tablets.

Survey participants were required to be at least 18 years old and to have a basic understanding of numerical concepts. The age threshold was set in reference to legal adulthood markers in Indonesia, where the minimum voting age is 17 and the legal age for marriage is 19, thereby ensuring that respondents possess a minimum level of legal and decision-making capacity.
Intervention Start Date
2026-04-01
Intervention End Date
2026-04-17

Primary Outcomes

Primary Outcomes (end points)
The primary outcomes are the measures of intention to migrate, both internally and abroad; and the measure of coastal resilience in the analysed communities.
Primary Outcomes (explanation)
Following recent developments in the empirical literature on migration, we elicit intention to migrate, hypothetical migration, and actual plans to migrate in the near future. Such an approach reduces the chance of measurement errors. Additionally, we assess the potential destinations in case of positive intention to migrate.
Regarding the coastal resilience measure, it is a combined index based on a number of biophysical characteristics of the coastline, such as vegetation cover, erosion rates, elevation, among others. The measure is calculated for individual grids of one squared kilometre using spatial analyses. A total of 15 grids will be analysed in the current study.

Secondary Outcomes

Secondary Outcomes (end points)
As a secondary outcome, we elicit measures of beliefs about environmental risks. In this case, we use an instrument comprising three different belief elicitation questions. Additionally, we elicit three measures of risk preferences: risk aversion, prudence and temperance.
Secondary Outcomes (explanation)
The self-reported belief measure will be constructed using the obviously related instrumental variable (ORIV) approach. This method combines different questions and formulations to provide a more efficient estimator, as outlined by Gillen, Snowberg and Yariv (2019). To ensure that the instrument is less prone to measurement errors, we ask three types of question concerning the perceived returns of the assets: qualitative, quantitative and probabilistic (Haaland et al., 2023).
The risk preferences measures will be elicited in two sets of incentivized activities. First, we elicit higher-order risk preferences using the novel method proposed by Schneider and Sutter (2026). Second, we elicit an alternative measure of risk aversion following the traditional method presented by Binswanger (1980).

Experimental Design

Experimental Design
In order to answer our research questions and test our hypotheses, we will obtain the data via the same experiment as in the project “The role of higher-order risk preferences in belief updating and preventive action: the case of environmental risk,” conducted by the same authors as the present study. The experiment will enable us to elicit risk preferences, perceived environmental risk measures and intention to migrate. The experiment will comprise six sections, each containing tasks designed to elicit specific individual attitudes or preferences. Three of these tasks are incentive compatible, such that the answers given can influence the monetary compensation for participating in the experiment.
Experimental Design Details
Not available
Randomization Method
Randomisation will be performed at the individual level at the start of the questionnaire. This will be done using a computer-based randomisation process calculated by the experiment programming tool.
Randomization Unit
Individuals.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
15 grids of 1 km² each.
Sample size: planned number of observations
300 individuals.
Sample size (or number of clusters) by treatment arms
At least 20 respondents per grid.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Assuming a significance level of 5%, statistical power of 80%, and a conservative ICC of 0.5, the minimum detectable effect size is approximately 0.16 standard deviations.
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Committee of the University of Göttingen
IRB Approval Date
2026-03-02
IRB Approval Number
N/A