Can User-friendly Labels Reduce Pesticide Use? Evidence from a Randomized Controlled Trial

Last registered on November 30, 2022


Trial Information

General Information

Can User-friendly Labels Reduce Pesticide Use? Evidence from a Randomized Controlled Trial
Initial registration date
November 27, 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
November 30, 2022, 4:23 PM EST

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



Primary Investigator


Other Primary Investigator(s)

Additional Trial Information

Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
The overuse and misuse of pesticide is very serious in many developing countries, including China. Many studies have explored solutions from the perspectves of risk aversion, law forbidden, and economic incentive, but no cost-effecyive solution has been found so far. Information and knowledge are important factors affecting decision-making of pesticide use, especially the pesticide label, which is a scientifical and convenient information source for farmers to obtain acurrate and timely information. However, most farners ignore labels in reality and rely on other information providers, such as pesticide retailers or their own experience, which are not realiable. Therefore, we want to figure out why the pesticide label does not work and how to reactivate it again.
External Link(s)

Registration Citation

Juhui, Chen. 2022. "Can User-friendly Labels Reduce Pesticide Use? Evidence from a Randomized Controlled Trial." AEA RCT Registry. November 30.
Experimental Details


Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will redesign a current pesticide label and make it more readable, calculable and easy to follow. We have three intervention labels. One of them is original label (not redesigned) and two redesigned labels—calculable label and easy-to-follow label. Then, we randomly showed one of the labels to the farmers participating in the experiment and asked them to complete mixing the pesticides according to the displayed pesticide label. Finally, we collect the liquid they pour out and write down their behavior during the experiment.
Experimental Design Details
Randomization Method
Using the random algorithm built into the Survey Solutions survey software developed by World Bank
Randomization Unit
individual ramdomization
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
1200 farmers
Sample size: planned number of observations
1200 farmers
Sample size (or number of clusters) by treatment arms
400 farmers control, 400 farmers calculable label, and 400 farmers easy-to-follow label
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number


Post Trial Information

Study Withdrawal

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Is the intervention completed?
Data Collection Complete
Data Publication

Data Publication

Is public data available?

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials