Paying Smallholder Farmers to Increase Carbon Sequestration by Changing Agricultural Practices: Evidence from Odisha

Last registered on December 01, 2025

Pre-Trial

Trial Information

General Information

Title
Paying Smallholder Farmers to Increase Carbon Sequestration by Changing Agricultural Practices: Evidence from Odisha
RCT ID
AEARCTR-0017274
Initial registration date
December 01, 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
December 01, 2025, 12:01 PM EST

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
University of California, Berkeley

Other Primary Investigator(s)

PI Affiliation
University of California Berkeley
PI Affiliation
University of California Berkeley

Additional Trial Information

Status
In development
Start date
2025-11-01
End date
2027-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The objective of this study is to evaluate whether smallholder farmers can be incentivized to adopt a regenerative agricultural practice without compromising short-term productivity, and in ways that enable participation in carbon markets. The study design seeks to identify which types of financial incentives most effectively drive adoption and whether group-based versus individual-based incentive structures affect behavioral dynamics, the additionality and persistence of adoption, and environmental outcomes (i.e., carbon capture).
External Link(s)

Registration Citation

Citation
Mahajan, Aprajit, Liz Saunders and Shuo Yu. 2025. "Paying Smallholder Farmers to Increase Carbon Sequestration by Changing Agricultural Practices: Evidence from Odisha." AEA RCT Registry. December 01. https://doi.org/10.1257/rct.17274-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
In the intervention, farmers will receive a discount coupon for rotavator services. Some will receive a set discount, and some will receive a variable discount based on how many of their neighbors sign up for the rotavator services.
Intervention Start Date
2026-01-01
Intervention End Date
2026-03-31

Primary Outcomes

Primary Outcomes (end points)
The primary outcomes are
1) to measure adoption responses to individual and group-targeted rotavator subsidies, assessing whether group-based offers change uptake relative to individual offers and
2) to evaluate whether adding a cluster-level SOC-linked bonus payment increases adoption, beyond the group-coordination effect generated purely by simultaneous offers.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary outcomes are
1) to test the operational feasibility and analytical performance of grid-based SOC sampling across all arms,
2) to study the evolution of adoption behavior across two consecutive agricultural seasons, examining both initial uptake and short-run persistence,
3) to document and quantify spillovers within and across clusters, including machine-use diffusion, peer learning, and behavioral contagion, and
4) to contribute evidence relevant for carbon-credit program design, particularly regarding the comparative cost-effectiveness of individual vs. cluster-based subsidy models.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Groups of 10 spatially contiguous farmers will be randomly offered different financial incentives to adopt the use of a rotavator. Some will be offered incentives at an individual level and others will be offered incentives at a group level. There will be three treatment arms:
1) individual coupon for rotavator use,
2) group coupon for rotavator use and no additional payment, and
3) group coupon for rotavator use plus a group-based SOC-linked bonus at the end of the study.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Groupings of 10 spatially contiguous farms
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
250 clusters of 10 farms each
Sample size: planned number of observations
2,500 farms
Sample size (or number of clusters) by treatment arms
Approximately 714 farms assigned to each of the three treatment arms and 358 farms assigned to the control group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
For a minimum detectable effect of 0.259 tC/ha and a standard deviation of 1.64 tC/ha, we need at least 1,666 farmers for 80% power at 5% significance. To allow for attrition, we will enroll 2500 farmers.
IRB

Institutional Review Boards (IRBs)

IRB Name
Committee for Protection of Human Subjects (CPHS) UC Berkeley
IRB Approval Date
2023-09-22
IRB Approval Number
2022-01-14990