Climate change risks and adaptation measures - a study on micro enterprises in Mozambique

Last registered on February 10, 2022

Pre-Trial

Trial Information

General Information

Title
Climate change risks and adaptation measures - a study on micro enterprises in Mozambique
RCT ID
AEARCTR-0008917
Initial registration date
February 10, 2022

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
February 10, 2022, 8:02 PM EST

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 Copenhagen

Other Primary Investigator(s)

PI Affiliation
University of Copenhagen
PI Affiliation
University of Copenhagen
PI Affiliation
University of Copenhagen

Additional Trial Information

Status
In development
Start date
2022-03-15
End date
2024-12-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
Research on the adaptation measures that small firms can implement is scant. While we know that most manufacturing firms do not apply any adaptation measures, we know less about the reasons for this inaction. From research in agriculture, we know that information related to climate change and adaptation has the potential to increase people’s adaptive behaviour. We therefore want to test if the lack of sufficient information about adaptation measures can explain why small firms in Mozambique do not adapt to climate change. Specifically, we will provide firm owners with information about adaptation measures that they could quickly and inexpensively implement on their own. We then test whether information about adaptation impacts firm owners’ attitudes towards and their use of adaptation measures.

Second, learning about adaptation measures has also been shown to increase people’s concerns about CC (Carrico et al. 2015). Thus, we will examine whether our treatment affects firm owners’ risk perceptions. Specifically, risk perceptions may act as a mediator between the treatment and attitude towards adaptation measures. This means that our information treatment may increase firm owners’ risk perceptions, which in turn impacts attitudes towards and use of adaptation measures. On the other hand, risk perceptions may moderate the treatment effect, i.e. the treatment may have different effects depending on firm owners’ initial risk perceptions. We will test the mediator/moderator role of risk perceptions in one section of the experiment’s analysis.


External Link(s)

Registration Citation

Citation
Berkel, Hanna et al. 2022. "Climate change risks and adaptation measures - a study on micro enterprises in Mozambique." AEA RCT Registry. February 10. https://doi.org/10.1257/rct.8917
Experimental Details

Interventions

Intervention(s)
At the end of our IIM 2022 enterprise survey, we will provide firms that are of micro size (fewer than 10 employees) with a leaflet including images. These images contain short descriptions and visual explanations of CC adaptation measures. These measures explain how to prevent a roof from flying away, how to protect doors and windows from winds and water, that it is useful to heighten a building and to move valuable items to higher grounds.

We will interview between 600 to 1000 micro enterprises in seven Mozambican provinces. Of these, we will randomly select 50 percent who will receive the information on adaptation measures at the end of our baseline survey. One month after the baseline survey, we will call all firms and repeat the questions about CC risk perception, adaptation measures and determinants of risk perceptions.

Further, we will make sure that the control group will receive the same information after the follow-up interview.


Intervention Start Date
2022-04-01
Intervention End Date
2022-06-30

Primary Outcomes

Primary Outcomes (end points)
1) Attitude towards and use of climate change adaptation measures,
2) Climate change risk perceptions (adaptation of a model by van der Linden 2015)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
See intervention
Experimental Design Details
Not available
Randomization Method
Half of the firms will be exposed to the treatment and the other half will not. We will randomize based on even/uneven firmid.
Randomization Unit
Firms
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
No clusters
Sample size: planned number of observations
600-1000 firms
Sample size (or number of clusters) by treatment arms
300-500 treated firms
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
80%
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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