A Survey Experiment on Citizens’ Perceptions and Impressions of Corporate and Local Government Health Promotion Initiatives

Last registered on February 14, 2025

Pre-Trial

Trial Information

General Information

Title
A Survey Experiment on Citizens’ Perceptions and Impressions of Corporate and Local Government Health Promotion Initiatives
RCT ID
AEARCTR-0015374
Initial registration date
February 12, 2025

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 12, 2025, 12:44 PM EST

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

Last updated
February 14, 2025, 1:02 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Osaka University

Other Primary Investigator(s)

PI Affiliation
Kwansei Gakuin University
PI Affiliation
Kyoto University of Advanced Science

Additional Trial Information

Status
On going
Start date
2025-02-14
End date
2027-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Intervention strategies such as monetary incentives and prosocial (donation-related) incentives have been proposed to encourage physical activity (e.g., walking), and numerous experiments have been conducted to evaluate their effectiveness. However, these interventions may influence not only physical activity but also other indicators, such as participants’ subjective health status and prosociality. Moreover, when corporations or local governments adopt these interventions to promote physical activity among employees or citizens and this fact becomes publicly known, it may also affect public perceptions of these organizations.

Corporations and local governments may consider not only the expected effects of these interventions on physical activity but also their potential impact on public favorability when deciding whether to implement such initiatives. Therefore, examining this aspect is crucial for advancing the social implementation of these policies. In this study, we investigate whether public favorability toward corporations and local governments improves when people are informed that these organizations are using monetary or prosocial incentives to encourage physical activity among employees or citizens.
External Link(s)

Registration Citation

Citation
Sasaki, Shusaku, Takunori Ishihara and Hirofumi Kurokawa. 2025. "A Survey Experiment on Citizens’ Perceptions and Impressions of Corporate and Local Government Health Promotion Initiatives." AEA RCT Registry. February 14. https://doi.org/10.1257/rct.15374-1.1
Experimental Details

Interventions

Intervention(s)
Our survey experiment provides hypothetical news articles about a certain Japanese company or local government in the form of a randomized controlled trial that differs between six groups as follows:

- Control Group (company news): Sending only the encouragement message
- Treatment Group 1 (company news): Sending the encouragement message + Providing a monetary incentive
- Treatment Group 2 (company news): Sending the encouragement message + Providing a donation incentive

- Control Group (local government news): Sending only the encouragement message
- Treatment Group 1 (local government news): Sending the encouragement message + Providing a monetary incentive
- Treatment Group 2 (local government news): Sending the encouragement message + Providing a donation incentive
Intervention Start Date
2025-02-14
Intervention End Date
2025-02-21

Primary Outcomes

Primary Outcomes (end points)
Liking (a feeling of liking toward a certain company or local government which implements health promotion initiatives, 1-10)
Primary Outcomes (explanation)
The primary outcome variable is a feeling of liking toward a certain company or local government which implements health promotion initiatives. This measure is based on the questions, "To what extent do you have feelings of liking toward this company / this local government?" (on a scale of 1 to 10, with 1 being "not at all" and 10 being "very strongly") and "To what extent do you have feelings of friendliness toward this company / this local government? (on a scale of 1 to 10, with 1 being "not at all" and 10 being "very strongly").

We add the two liking measures and divide the result by two, which we use in our analysis as our primary outcome variable.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Study design: Between-subject design
*We set up three groups (Control, Treatment 1, Treatment 2) for the company news and three groups (Control, Treatment 1, Treatment 2) for the local government news.

Data collection procedures:
We will collaborate with MyVoice.com Ltd., which offers online surveys and experiments, and recruit survey participants from their registered monitors to match the proportions of a national representative sample in terms of age, sex, and area of residence.

Inclusion criteria:
Men and women aged 20 to 69 residing across Japan
Experimental Design Details
Not available
Randomization Method
We perform stratified randomization based on age, sex, and area of residence.
Randomization Unit
Individuals.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
- 1,200 individuals for the company news groups - 1,200 individuals for the local government news groups
Sample size (or number of clusters) by treatment arms
- Control Group (company news): 400 individuals
- Treatment Group 1 (company news): 400 individuals
- Treatment Group 2 (company news): 400 individuals

- Control Group (local government news): 400 individuals
- Treatment Group 1 (local government news): 400 individuals
- Treatment Group 2 (local government news): 400 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We used StataNOW/MP 18.5 to conduct a power analysis. Our goal was to obtain 0.80 power to detect a mean difference of 0.4700 with standard deviations of 1.9041 and 2.3523 at 0.025 alpha error probability. The mean difference and standard deviations were based on the result of our pilot experiment. Since each regression analysis includes two treatment variables, we set the alpha level to 0.025, which is half of 0.05. The estimated sample size for each group is 396, and thus we set the sample size for each group to 400.
IRB

Institutional Review Boards (IRBs)

IRB Name
Center for Infectious Disease Education and Research, Osaka University IRB
IRB Approval Date
2025-01-27
IRB Approval Number
2024CRER0127-1
Analysis Plan

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