Uncertainties on carbon prices and the willingness to adopt EVs in China

Last registered on November 08, 2023

Pre-Trial

Trial Information

General Information

Title
Uncertainties on carbon prices and the willingness to adopt EVs in China
RCT ID
AEARCTR-0012338
Initial registration date
October 31, 2023

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
November 08, 2023, 11:22 AM 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
Ruhr University Bochum

Other Primary Investigator(s)

PI Affiliation
PI Affiliation

Additional Trial Information

Status
On going
Start date
2023-10-20
End date
2024-04-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study the effects of carbon pricing expectations on the willingness to adopt electric vehicles (EV) in China. We randomly alter the individual expectation on carbon prices by assigning them to different expert estimates. Individuals are randomly assigned to one of the three expert estimates of carbon prices in 2050: (i) a high price, (ii) a low price, (iii) a low price but a high variation. We would like to measure the impact of expectations of carbon pricing on the interest in receiving a report on EV, the willingness to adopt an EV, and the general willingness to reduce carbon footprints.
External Link(s)

Registration Citation

Citation
Feldhaus, Christoph, Andreas Loeschel and Yuanwei Xu. 2023. "Uncertainties on carbon prices and the willingness to adopt EVs in China." AEA RCT Registry. November 08. https://doi.org/10.1257/rct.12338-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-10-20
Intervention End Date
2024-04-30

Primary Outcomes

Primary Outcomes (end points)
(i) The willingness to adopt EV, (ii) the interest in a report on EV, gasoline prices, and carbon prices, and (iii) the willingness to reduce carbon footprints.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Individuals are randomly assigned to one of the three groups and receive one expert estimate of carbon prices in 2050.
Group 1 - a high estimate by one expert.
Group 2 - a low estimate by one expert.
Group 3 - a low estimate by one expert and a high variation of expert estimates.
Experimental Design Details
Not available
Randomization Method
Randomization done online by a computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
3,000 individuals
Sample size: planned number of observations
3,000 individuals
Sample size (or number of clusters) by treatment arms
1,000 each treatment group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
German Association for Experimental Economic Research e.V.
IRB Approval Date
2023-10-31
IRB Approval Number
No. d2Z5HIRp