Promoting behavioral response to information on air quality

Last registered on September 12, 2023


Trial Information

General Information

Promoting behavioral response to information on air quality
Initial registration date
September 25, 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
September 27, 2022, 11:51 AM EDT

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

Last updated
September 12, 2023, 3:50 AM EDT

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


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Primary Investigator

National University of Singapore

Other Primary Investigator(s)

PI Affiliation
Stanford University
PI Affiliation
Tsinghua University

Additional Trial Information

In development
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Public provision of environmental information is becoming prevalent worldwide to improve public awareness of environmental risks to protect public health, but there is a lack of evidence on its effectiveness. This study examines how multiple interventions on air quality information will affect the attitudes, behaviors, health, and test scores of students in China.
External Link(s)

Registration Citation

Liu, Tong, Kaiping Peng and Wei Yan. 2023. "Promoting behavioral response to information on air quality." AEA RCT Registry. September 12.
Experimental Details


Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
mental and behavioral responses, test scores
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will conduct a survey experiment which randomly selects students in Chinese middle schools into multiple interventions. The interventions include basic information on ambient air quality at school, adverse impacts of air pollution, defensive measures against air pollution, and potential benefits and costs of defensive measures.
We measure multiple student outcomes before and after the experiment, including attitudes and behaviors, mental health and subjective well-being, and test scores.
Experimental Design Details
Not available
Randomization Method
randomization done by a computer
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
roughly 30 schools and 300 classes
Sample size: planned number of observations
roughly 15,000 students
Sample size (or number of clusters) by treatment arms
1500 students for each treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
Tsinghua University
IRB Approval Date
IRB Approval Number