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Trial Title Can User-friendly Labels Reduce Pesticide Use? Evidence from a Randomized Controlled Trial Can User-friendly Labels Reduce Pesticides Use? Empirical Evidence from a Randomized Controlled Trial
Abstract 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. 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 activate it again.
Trial Start Date October 01, 2022 August 25, 2022
Trial End Date October 20, 2022 September 03, 2022
Last Published November 30, 2022 04:23 PM May 29, 2023 11:14 AM
Study Withdrawn No
Intervention Completion Date September 03, 2022
Data Collection Complete Yes
Was attrition correlated with treatment status? No
Final Sample Size: Total Number of Observations 1185 farmers
Final Sample Size (or Number of Clusters) by Treatment Arms 394 farmers control, 402 farmers simplified graphic label and 389 farmers audiovisual label
Public Data URL https://doi.org/10.7910/DVN/NS73ZD
Is there a restricted access data set available on request? No
Program Files Yes
Program Files URL https://doi.org/10.7910/DVN/NS73ZD
Data Collection Completion Date September 03, 2022
Is data available for public use? Yes
Intervention (Public) The three types of labels used in the experiment included the original labels (Control), simplified graphic labels (Treatment 1), and audiovisual labels (Treatment 2). The original label represents a typical pesticide label commonly found in the market. The simplified graphic label highlights essential usage and dosage information from the original label, presenting it in a combination of graphics and text. On the other hand, the audiovisual label incorporates a QR code on the front of the original label. This QR code provides access to a one-minute animated video explaining the appropriate usage and dosage of the pesticide. By employing these different types of labels, the experiment aimed to observe the effects of the label variations on farmers' pesticide blending behavior.
Intervention Start Date October 01, 2022 August 26, 2022
Intervention End Date October 02, 2022 September 03, 2022
Primary Outcomes (End Points) Farmers The dosage of pesticides calculated and dispensed by farmers in the various experimental groups.
Experimental Design (Public) 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. In the experiment, a random assignment was conducted, allocating farmers to three distinct groups. Each group of farmers was presented with pesticides labeled differently. The farmers were then tasked with completing a pesticide blending experiment using the allocated pesticides.
Sample size (or number of clusters) by treatment arms 400 farmers control, 400 farmers calculable label, and 400 farmers easy-to-follow label 400 farmers control, 400 farmers simplified graphic labels (Treatment 1), and 400 farmers audiovisual labels (Treatment 2)
Power calculation: Minimum Detectable Effect Size for Main Outcomes Prior to the formal survey, a pilot survey was conducted across Jiangsu, Hebei, Shaanxi, and Guangxi provinces, involving approximately 1000 participants. The primary objective of the pilot survey was to assess the comprehensibility of the label designs for farmers and to identify any potential issues that might arise during the experiment. The minimum sample size for this study was determined based on the pesticide dosage data obtained from the pre-survey. With a minimum detectable effect size of 12% pesticide reduction, a standard deviation of 45.158, and a statistical power of 0.8, a sample size of 370 (control group) and 740 (total sample size of two intervention groups) was calculated to detect the intervention effect of user-friendly labels at a significance level of 5%.
Additional Keyword(s) pesticide
Did you obtain IRB approval for this study? No Yes
Secondary Outcomes (End Points) Whether farmers use pesticide labels.
Public locations No Yes
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Irbs

Field Before After
IRB Name College Economics and Management, China Agricultural University
IRB Approval Date August 20, 2022
IRB Approval Number N/A
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