Exploring French carbon Tax acceptability in the age of high energy prices

Last registered on January 08, 2023

Pre-Trial

Trial Information

General Information

Title
Exploring French carbon Tax acceptability in the age of high energy prices
RCT ID
AEARCTR-0010577
Initial registration date
December 02, 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
December 06, 2022, 11:39 AM EST

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

Last updated
January 08, 2023, 11:50 AM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Affiliation
Panthéon Assas

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2022-12-02
End date
2023-04-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study examines preferences for carbon taxes. To this end, the study draws on a survey experiment to be fielded among a representative sample of the French population. Information regarding carbon pricing and carbon emission stylized facts will be randomly provided and we will analyze its impact.
External Link(s)

Registration Citation

Citation
du Marais, Gabrielle. 2023. "Exploring French carbon Tax acceptability in the age of high energy prices ." AEA RCT Registry. January 08. https://doi.org/10.1257/rct.10577-1.5
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Treatment 1: providing carbon emission stylized facts information
Treatment 2: providing carbon pricing information
Intervention Start Date
2022-12-02
Intervention End Date
2023-04-30

Primary Outcomes

Primary Outcomes (end points)
Willingness to pay for: fuel, gas, plane carbon tax; carbon VAT; and non-linear fuel, gas, plane carbon taxes
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Limesurvey randomly assigns the 1500 respondents to 3 groups of 500 respondents : 2 treatment groups and one control group
Experimental Design Details
Not available
Randomization Method
Limesurvey randomization
Randomization Unit
Group
In addition, some answer options can also be displayed in a random order (but the order does not depend on the group)
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
3 groups of 500 respondents each (2 treatments, 1 control)
Sample size: planned number of observations
1 500 respondents: 3 groups of 500 respondents each
Sample size (or number of clusters) by treatment arms
1 500 respondents: 3 groups of 500 respondents each
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number