Impact of Soil Health Card Scheme on Productivity and Income of the Farmers: A Randomized Control Trials Experiment in Eastern India.

Last registered on May 23, 2025

Pre-Trial

Trial Information

General Information

Title
Impact of Soil Health Card Scheme on Productivity and Income of the Farmers: A Randomized Control Trials Experiment in Eastern India.
RCT ID
AEARCTR-0009641
Initial registration date
July 10, 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
July 12, 2022, 10:38 AM EDT

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

Last updated
May 23, 2025, 7:54 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Asian Development Bank Institute

Other Primary Investigator(s)

PI Affiliation
Asian Development Bank Institute
PI Affiliation
National Institute of Technology Karnataka

Additional Trial Information

Status
Completed
Start date
2021-03-31
End date
2023-11-30
Secondary IDs
R11256
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We (ADBI) collaborate with a local institute (National Institute of Technology Karnataka) in India and with Indian government to understand to understand the prioritization of rural farmers regarding the use of the soil health card. This research aims to assess the impact of the adoption of soil health cards on households’ economic well-being. Together with government intervention of soil card distribution, this study does nudging for taking time perspective and self-governance through accountability mechanism to induce farmer to adopt proper social health management.
External Link(s)

Registration Citation

Citation
Rahut, Dil .B, Pradyot Ranjan Jena and Raja Timilsina. 2025. "Impact of Soil Health Card Scheme on Productivity and Income of the Farmers: A Randomized Control Trials Experiment in Eastern India.." AEA RCT Registry. May 23. https://doi.org/10.1257/rct.9641-1.1
Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
Intervention Start Date
2021-08-30
Intervention End Date
2023-07-31

Primary Outcomes

Primary Outcomes (end points)
Beter soil quality and higher farm productivity
Primary Outcomes (explanation)
Sustainability and food security,

Secondary Outcomes

Secondary Outcomes (end points)
Smallholders farmer behaviors and adaptations for climate change
Secondary Outcomes (explanation)
Community trust and cooperation, risk attitudes

Experimental Design

Experimental Design
Accountability mechanism for self-governance:
Experimental Design Details
Randomization Method
Randomization was done in the office by a computer,
Randomization Unit
600 households
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
1200
Sample size: planned number of observations
1200
Sample size (or number of clusters) by treatment arms
600
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
National Institute of Technology Karnataka
IRB Approval Date
2021-01-31
IRB Approval Number
125698

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
November 30, 2023, 12:00 +00:00
Data Collection Complete
No
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Abstract
Climate-induced increase in temperature and rainfall variability severely threaten the agricultural sector and food security in the Indian state of Odisha. Climate-smart agricultural (CSA) practices, such as crop rotation and integrated soil management, help farmers adapt to climate risk and contribute to a reduction in greenhouse gas (GHG) emissions. Therefore, this paper examines the impact of CSA practices on yield and income in vulnerable semi-arid districts of Odisha—Balangir, Kendrapara, and Mayurbhanj. We use primary survey data from 494 households collected in 2019–2020, using a multi-stage stratified sampling approach and structured questionnaire. Propensity score matching (PSM) and the two-stage least square method (2SLS) have been used to analyze the impact of CSA on income and productivity. Two instrument variables, namely distance to the extension office and percentage of adopters in a village, are used to control self-selection bias and endogeneity in our model. Both models show a positive and significant impact of the adoption of CSA on farmers’ productivity and income. The study sheds light on the significant contribution of CSA practices in fostering sustainable income growth amid environmental challenges. Overall, our results suggest that small and marginal farmers of Eastern India, a highly environmentally vulnerable area, can significantly improve their income and productivity by adopting CSA technology. Hence, policymakers should scale the adoption of CSA technology through effective extension programs
Citation
Tanti, P.C., Jena, P.R., Timilsina, R.R. et al. Enhancing crop yields and farm income through climate-smart agricultural practices in Eastern India. Mitig Adapt Strateg Glob Change 29, 35 (2024). https://doi.org/10.1007/s11027-024-10122-8
Abstract
Irrigation is an important adaptation strategy to cope with climate change which reduces vulnerability to water stress and improves crop productivity to feed millions. There is evidence of crop yield stagnation in many developing countries, and irrigation efficiency is claimed to increase crop productivity. Therefore, this paper uses data envelopment analysis to evaluate the farmer’s productivity through technical efficiency (TE), i.e., the relationship between resource inputs and outputs of 513 paddy farmers in Eastern India. The results show that the farms are, on average operating at 14% TE, leaving a considerable scope to improve up to 86% to reach the optimal level. A significant difference is observed between irrigated and rain-fed paddy farmers, such that10% of the irrigated farms achieved efficiency scores over 40% and only 2% of rain-fed farms achieved the same. The tobit and beta fit regression models are estimated to find out the factors that influence the TE. Both surface water and groundwater sources of irrigation are used as predictors, along with other socio-demographic factors. Access to surface water irrigation is identified to be a significant determinant of farm efficiency, however, surface water irrigation, such as canal irrigation, is accessible only to farmers living on plain land. Farmers living on highlands need to explore other sources of irrigation practices, such as drip and sprinkler, that can increase TE and farm productivity. Therefore, this paper calls for government intervention to provide extensive training and facilities for these micro-irrigation practices
Citation
Rajesh Kalli, Pradyot Ranjan Jena, Raja Rajendra Timilsina, Dil Bahadur Rahut, Tetsushi Sonobe, Effect of irrigation on farm efficiency in tribal villages of Eastern India, Agricultural Water Management, Volume 291, 2024, 108647,

Reports & Other Materials