Assessing the Acceptability of Carbon Tax Using Information Provision and Revenue Distributive Preferences in Nigeria

Last registered on June 04, 2024
View Trial History

Pre-Trial

Trial Information

General Information

Title
Assessing the Acceptability of Carbon Tax Using Information Provision and Revenue Distributive Preferences in Nigeria
RCT ID
AEARCTR-0013683
Initial registration date
May 24, 2024

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
May 30, 2024, 3:37 AM EDT

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

Last updated
June 04, 2024, 6:34 AM EDT

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

Locations

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Primary Investigator

Name
CHINASA URAMA
Affiliation
UNIVERSITY OF NIGERIA, NSUKKA
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2024-06-10
End date
2024-10-16
Keywords
Environment & Energy
Additional Keywords
carbon tax, carbon policy, distributive preference, RCT, Nigeria.
JEL code(s)
Q350, Q380, Q480
Secondary IDs
MS1518
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Despite reports of the benefit of carbon tax in generating revenues and contributing to the reduction of GHG emissions, lack of public support remains the major obstacle to its implementation in most countries. This could be attributed to concerns of its regressive effect and lack of adequate information by citizens. Using experimental procedure, this study aims to test if information provision and distributive preferences of revenues by households will lead to the acceptance of carbon tax. The study will use selected Nigerian households split into two equal groups comprising treatment and control groups. The treatment group will be provided with information on the mechanics of carbon taxation and revenue-use options to allocate tax revenues. Baseline and end-line data will be collected with a structured questionnaire. Analysis will be done with the use of appropriate techniques.
External Link(s)

Registration Citation

Citation
URAMA, CHINASA. 2024. "Assessing the Acceptability of Carbon Tax Using Information Provision and Revenue Distributive Preferences in Nigeria." AEA RCT Registry. June 04. https://doi.org/10.1257/rct.13683-1.1
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
The intervention proposed in this study is to provide the treatment group with necessary information about carbon tax; what it means, how it works, why government wants to impose it on the population and its expected impact on the quantity of carbon emitted into the environment. The treatment group will also be provided with information on the extent of revenue that the government can generate from carbon taxation and what such revenue can be used to do in the economy.
Intervention Start Date
2024-07-08
Intervention End Date
2024-07-26

Primary Outcomes

Primary Outcomes (end points)
Acceptability of carbon tax is the outcome variable
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Sampling procedure: The study will be conducted in two states and the Federal Capital Territory: Enugu, Lagos and FCT Abuja, representing the Eastern, Southern and Northern parts of Nigeria. To ensure a representative sample, we will follow the sampling procedure of proportionate size to randomly sample 20 enumeration areas (EAs) (14 urban EAs and 6 rural EAs) from each of the three States. Enumeration Areas are the primary sampling units designated by the National Population Commission (NPC) and the National Bureau of Statistics (NBS). For each State, 6 rural EAs will be divided into two clusters of 3EAs each to form 1 treated group (TG) and 1 control groups (CG). The same principle will be applied to the urban EAs to form 1 TG and 1 CG. Twelve (12) households will be selected from each of the EAs to give 240 respondents for each State comprising 120 treated households and 120 control households. For the study, we will have a total of 720 respondents comprising two groups, treatment (N = 360) and control (N = 360). A well-structured interviewer-administered questionnaire will be developed and tested for data collection through a pilot survey. Data will be collected using computer-assisted personal interviewing (CAPI) coded into survey solutions.
Experimental Design Details
Not available
Randomization Method
Household randomization
Randomization Unit
Enugu state, Lagos state and Abuja FCT will be purposively selected from the Eastern, Southern and Northern parts of Nigeria. From each of the three States, 20 enumeration areas (EAs) will be randomly selected, giving a total of 60 EAs. Finally, from each of the 20 EAs, 12 households will be randomly selected giving a total sample size of 720 respondents for the study. the EAs are regarded as the clusters. The study will have 60 clusters.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
60 clusters
Sample size: planned number of observations
720 households
Sample size (or number of clusters) by treatment arms
360 households control, 360 treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Nigeria Ethics Board
IRB Approval Date
2024-05-23
IRB Approval Number
N/A
Analysis Plan