Will Farmers Trade in Fire for Fertilizer? Evaluation of Regenerative No-burn Rice Stubble Management Technology in Myanmar

Last registered on October 28, 2024

Pre-Trial

Trial Information

General Information

Title
Will Farmers Trade in Fire for Fertilizer? Evaluation of Regenerative No-burn Rice Stubble Management Technology in Myanmar
RCT ID
AEARCTR-0014587
Initial registration date
October 28, 2024

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
October 28, 2024, 1:43 PM EDT

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

Locations

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Primary Investigator

Affiliation
International Food Policy Research Institute (IFPRI)

Other Primary Investigator(s)

PI Affiliation
Michigan State University
PI Affiliation
Michigan State University
PI Affiliation
Michigan State University
PI Affiliation
Michigan State University

Additional Trial Information

Status
In development
Start date
2024-03-01
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Rice cultivation is essential to Myanmar’s rural economy, but large-scale production results in substantial stubble, often burned to quickly prepare fields for the next planting. Farmers prefer burning as it is fast, cheap, and helps control pests. Consequently, this practice is widespread in Myanmar and other countries (Kanabkaew & Kim Oanh, 2011; Abdurrahman et al., 2020).
Yet, burning rice stubble carries high social and environmental costs. It can degrade soil structure, reduce organic matter (Sanchez et al., 2005), waste valuable biomass (Reicosky & Wilts, 2005), and pollute the air with greenhouse gases (Oanh et al., 2018). Alternatives that manage crop residues instead of burning can mitigate these issues and provide economic benefits.
Various options have been proposed, including reusing residues for economic purposes (e.g., mushroom cultivation, animal feed) and conservation agriculture practices (e.g., zero tillage, mulching). Though potentially profitable (Shyamsundar et al., 2019), these methods have not fully replaced burning due to practical challenges and lack of incentives for farmers (Oanh et al., 2013).
Understanding farmers' perceptions and responses to alternatives can aid in designing incentives to shift away from burning. This study utilizes efforts by Proximity Design, a social business working to promote climate resilient agricultural technologies in Myanmar, to promote a no-burn method in Myanmar, employing an Effective Microbial solution to decompose stubble. A randomized evaluation, in collaboration with Proximity Design, will assess the impact of this no-burn technology on various outcomes such as yield and fertilizer usage.
External Link(s)

Registration Citation

Citation
Boughton, Duncan et al. 2024. "Will Farmers Trade in Fire for Fertilizer? Evaluation of Regenerative No-burn Rice Stubble Management Technology in Myanmar." AEA RCT Registry. October 28. https://doi.org/10.1257/rct.14587-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
The intervention being evaluated is the promotion of a no-burn rice farming practice by Proximity Designs (PD). This practice is implemented by PD’s frontline team, following these steps:

1. Village Outreach: A team of 50 sales representatives contacts village chiefs, either by phone or in person, to arrange appointments.

2. Village Presentations: On the scheduled day, the team visits the village and conducts presentations to groups of about 20 attendees, with an average of three meetings per village tract. These presentations target both double-cropping rice farmers (those planting in both the monsoon and post-monsoon seasons) and farmers who grow rice only during the monsoon season. The team promotes no-burn rice stubble management by emphasizing soil health benefits, cost savings from reduced fertilizer use, and potential yield improvements.

3. Sales Orders: During the visit, the team collects orders for EM (Effective Microorganism) bottles, which are integral to the no-burn practice. They expect about 35% of attendees to place orders, resulting in approximately 20 orders per village tract.

4. Order Fulfillment: After 3-6 weeks, the team returns to the village to deliver the EM bottles, priced at 7,500 MMK per bottle. Farmers pay in cash upon delivery and can modify or cancel their orders before the fulfillment date.

5. Product Quality Assurance: Farmers may also purchase EM from input stores, but PD guarantees the quality of its product, which ensures sufficient microorganism culture count for effectiveness.
Intervention Start Date
2024-04-01
Intervention End Date
2025-06-30

Primary Outcomes

Primary Outcomes (end points)
Key outcomes include: yield (expected to increase); inorganic fertilizer application (expected to decrease)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The evaluation will employ a randomized-controlled trial (RCT) field experiment to explore whether adoption of the no burn stubble management technology have any economic impact as well as examine the household and farmer characteristics that influence the adoption of this technology among rice farmers in Myanmar.

Village tracts serve as both the units of intervention and randomization. Our observations will focus on farmers who participate in the intervention and purchase the product as described in step 4 above.

The intervention for this RCT will take place over three seasons with two cohorts. Village tracts are randomly assigned to treatment and control groups, and the intervention proceeds as follows:

• Cohort 1:
o Treatment Group: Receives the intervention at the start of the Monsoon 2024 season. Farmers who purchase the EM product are classified as cohort 1 treatment farmers (N=55 village tracts).
o Control Group: Receives the intervention at the start of the Post-Monsoon 2024-25 season (N=30 village tracts) or at the start of Monsoor 2025 (N=23 village tracts). Farmers who purchase the EM product during the intervention in their respective seasons are classified as cohort 1 control farmers.

• Cohort 2:
o Treatment Group: Receives the intervention at the start of the Post-Monsoon 2024-25 season. Farmers who purchase the EM product are cohort 2 treatment farmers (N=30 village tracts).
o Control Group: Receives the intervention at the start of the Monsoon 2025 season. Farmers who purchase the EM product are cohort 2 control farmers (N=32 village tracts).

Outcome Measurement:
• Surveys will be conducted at the end of Monsoon 2024 and at the end of Post-Monsoon 2024-25, For cohort 1, the outcomes will correspond to monsoon 2024 (season 1) and for cohort 2, they will correspond to post-monsoon 2024-25 (season 2).

The total sample size (i.e., units of analysis) for the surveys is targeted to be around 2442 households across 170 village tracts (the maximum number of village tracts feasible across the two seasons) with 14 to 15 farmers per village tract. We plan to develop survey instruments in October-November and obtain IRB approval by the end of November 2024.
Experimental Design Details
Not available
Randomization Method
Randomization of villages done in office by a computer
Randomization Unit
Village tracts
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
170 villages (85 villages each for treatment and control across the two cohorts)
Sample size: planned number of observations
The total sample size (i.e., units of analysis) for the impact evaluation survey is targeted to be around 2442 households across 170 village tracts (the maximum number of village tracts feasible across the two seasons) with 14 to 15 farmers per village tract (the most affordable within the budget constraint).
Sample size (or number of clusters) by treatment arms
85 villages each for treatment and control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We conduct power calculations for two potential outcomes – yield (expected to increase) and inorganic fertilizer application (expected to decrease). Using the nationally representative Myanmar Agricultural Performance Survey 2022 data, we find that for rice yield, mean is 1200 kg/acre, standard deviation is 469 and intracluster correlation is 0.47 while for fertilizer application on the largest plot, mean is 56.1 kg/acre, standard deviation is 44.8, and ICC is 0.32. Using cluster size of 85 village each in treatment and control and 14.365 sampled household/village tract (average), it gives a MDE of 126 kg/acre for yield outcome and an MDE of 11 kg/acre for fertilizer quantity outcome at a statistical power of 80% and level of confidence of 95%. That is, our sample is powered to detect a minimum of 10.2% increase in yield (MDE of 126/mean yield of 1200) and a minimum of 21.5% decrease in the quantity of fertilizer use (MDE of 11/mean of 56.1).
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number