Can private input suppliers be leveraged to stimulate farmer demand for newer maize varieties?

Last registered on June 23, 2023

Pre-Trial

Trial Information

General Information

Title
Can private input suppliers be leveraged to stimulate farmer demand for newer maize varieties?
RCT ID
AEARCTR-0011608
Initial registration date
June 21, 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
June 23, 2023, 5:26 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
International Maize and Wheat Improvement Center

Other Primary Investigator(s)

PI Affiliation
International Maize and Wheat Improvement Center
PI Affiliation
International Maize and Wheat Improvement Center
PI Affiliation
International Maize and Wheat Improvement Center
PI Affiliation
University of Sussex
PI Affiliation
International Maize and Wheat Improvement Center
PI Affiliation
Univerity of Illinois

Additional Trial Information

Status
On going
Start date
2023-02-01
End date
2024-05-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In contexts like Sub-Saharan Africa, where the public extension has faced significant challenges, private input suppliers could be leveraged to provide farmers with information on and access to new technologies. The current study tests whether input suppliers can be incentivized to promote newer and better maize varieties among farmers in Kenya. Specifically, the study uses an RCT design to test whether providing a monetary incentive in terms of a margin discount influences agro-dealers stocking decisions as well as their efforts toward encouraging their clients to try the newer varieties. The study is implemented in four counties in Kenya and works with three hundred and forty input suppliers located in one hundred local markets.
External Link(s)

Registration Citation

Citation
Donovan, Jason et al. 2023. "Can private input suppliers be leveraged to stimulate farmer demand for newer maize varieties?." AEA RCT Registry. June 23. https://doi.org/10.1257/rct.11608-1.0
Experimental Details

Interventions

Intervention(s)
The study partnered with a well-known distributor who supplies maize seed to the agrodealers in the region of study. The study worked with the distributor's network of agrodealers. The agrodealers were informed about the study and invited to make their seed purchases through the distributors as usual. Agrodealers in the treatment group were offered a margin discount if they ordered two specific varieties mentioned by the study team as newer varieties that are commercially available, agronomically suited to the region of study but with a relatively low market share
Intervention Start Date
2023-02-18
Intervention End Date
2023-04-15

Primary Outcomes

Primary Outcomes (end points)
i. An indicator for stocking any of the promoted varieties
ii. The amount of seed in kg of the varieties under promotion stocked by the agro-dealer
iii. Total sales volume of the promoted varieties (kg)
iv. Average selling price of the promoted varieties (KES/kg)
Primary Outcomes (explanation)
All the main outcome variables will be measured using the agro dealer follow-up surveys in May 2023, November 2023, and May 2024.

Secondary Outcomes

Secondary Outcomes (end points)
i. Information-seeking effort by the agro-dealer
ii. Credit uptake
iii. Total stock and sales volumes of all the other maize varieties (kg)
iv. Agrodealer recommends any of the promoted varieties to the secret shoppers (two variables defined
v. Dealer engagement with the secret shoppers
Secondary Outcomes (explanation)
i. Information seeking effort by the agro-dealer: An index created by adding affirmative responses (yes=1) to the following questions: whether the agrodealer have ever heard of the promoted varieties; whether the agrodealer saw any of the promoted varieties either on a neighbor’s farm, a customer’s farm, or a demo; and whether the agrodealer asked for feedback on any of the promoted varieties from any of their customer during or after the season.
ii. Credit uptake: agrodealer took any kind of credit during the season (1=yes) and the value of the credit (KES)
iii. Total stock and sales volumes of all the other maize varieties (kg) [This might be a final one as well – as it is total sale which might have been affected?]
iv. Agrodealer recommends any of the promoted varieties to the secret shoppers (two variables defined as: i) a dummy=1 if the dealer recommends any of the promoted varieties in any of the first two scenarios ii) dummy=1 if agrodealer recommends any of the promoted variety in scenario 3.

Intermediate outcomes i to iv will be measured using the agrodealer follow-up surveys in May 2023, November 2023, and May 2024.

v. Dealer engagement with the secret shoppers; a dummy=1 if the dealer asks any question before making any recommendations
vi. Agrodealer encouragement to farmers to purchase the promoted varieties: three indicators measured using the farmer level data. i) Farmer awareness of the promoted varieties (a dummy=1 if aware) ii) dummy =1 if a farmer purchase any of the promoted varieties iii) the amount in kg of seed purchased.
Intermediate outcomes v to vi will be measured using the secret shoppers exercise in March 2023, October 2023 and March 2024 seasons.

Experimental Design

Experimental Design
The study comprises two experimental groups: i) A comparison group and ii) an incentive (margin discount) group.
Experimental Design Details
The study comprises two experimental groups: i) A comparison group and ii) an incentive group. Agrodealers assigned to the comparison group were given a list of all the varieties available in that region and stocked by the distributor. The list included the name of the variety, the year of release, and the wholesale price offered by the distributor. This list was then followed by a shorter list of all the newer varieties (introduced to the market in the last seven years). Shops assigned to the incentive group received the same lists as the comparison group. Additionally, the attention of shop owners in this group was drawn to 4 newly released varieties particularly agronomically suited to their region that were commercially available and promising in terms of performance but with a relatively low market share. The four varieties under promotion were: Pan3M-05, Duma 419, Haraka 101, and Tsavo WE 4141. The shop owner was invited to select two of these four varieties for which they would like to receive the incentive. The agro-dealers were promised a margin discount of about 10% of the purchase price (50 KES ~ 0.37 USD) for every 2kg seed packet stocked for the two varieties they selected.
The monetary incentive was only valid if an agro dealer purchased the promoted varieties from the distributor that we partnered with and only for the first 15 bales of each variety. This was done so that it was easy to verify whether an agro dealer purchased the promoted variety and to avoid stockpiling by the agrodealers. Agrodealers in both treatment and control groups were given the distributor's contacts through which they could call to place an order anytime during the season. Additionally, we provided a contact of one of the field assistants who was hired to work closely with the distributor to ensure that the agrodealers who made orders received them on time. It was clear that the monetary incentive would come from the research team, not the distributor or any seed company. Once their orders were confirmed, the money was sent to the respective agro dealer through Mpesa mobile money transfer.
Randomization Method
Randomization of agrodealers into the two experimatal groups was done using Stata
Randomization Unit
Markets
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
100
Sample size: planned number of observations
300
Sample size (or number of clusters) by treatment arms
50 comparison; 50 treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
The primary outcome used for power calculations is the total amount of seed of the promoted varieties stocked by an agro-dealer. Using data from a previous survey of agro-dealers conducted by CIMMYT, we calculate the average amount of seed of a new variety sold per agro dealer during the 2019 March season. We define a new variety as any variety released within the last seven years from the time of data collection. This variable is used as a proxy for the baseline levels of the outcome variable of the current study. With a mean of 130kg (standard deviation of 211 kg ), an ICC of 0.03, 100 markets with an average of 3 shops and 0.8 power, the minimum detectable effect for our study is 70kg, a 54% increase relative to the control mean. This is considered a modest to large effect according to Cohen’s D. However, we note that there may be power losses because our clusters are not equally sized. We try to minimize this by weighting our observations with the inverse of the cluster size. In addition, we note the wide range of our outcome variable (as well as some of the other outcome variables (sales and total volumes of seed stock). An inverse hyperbolic sin transformation and winsorization of the outcome variable (s) will be considered during the estimations, and this will significantly improve our power
IRB

Institutional Review Boards (IRBs)

IRB Name
JKUAT institutiinal Scientific and Ethics Review Committee
IRB Approval Date
2023-02-23
IRB Approval Number
JKU/2/4/896B
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials