The Impact of Access to Rental Markets for Mechanization : Evidence from India
Last registered on June 10, 2019

Pre-Trial

Trial Information
General Information
Title
The Impact of Access to Rental Markets for Mechanization : Evidence from India
RCT ID
AEARCTR-0004112
Initial registration date
June 03, 2019
Last updated
June 10, 2019 10:27 PM EDT
Location(s)

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Primary Investigator
Affiliation
MIT Sloan School of Management
Other Primary Investigator(s)
PI Affiliation
Cornell University
Additional Trial Information
Status
In development
Start date
2019-06-04
End date
2021-06-30
Secondary IDs
Abstract
Agriculture remains central for the livelihood of a large portion of the population in developing countries, employing nearly 60% of the population in Sub-Saharan Africa and 750 million people in South Asia alone (World Bank, 2018). With increasing land fragmentation over time, increased agriculture productivity remains central to alleviating poverty. This project will run a randomized control trial to understand how the availability of formal rental markets for mechanization affects agricultural productivity, labor market outcomes and incomes for farmers, and on service prices and times to completion for local service providers.
External Link(s)
Registration Citation
Citation
Caunedo, Julieta and Namrata Kala. 2019. "The Impact of Access to Rental Markets for Mechanization : Evidence from India." AEA RCT Registry. June 10. https://www.socialscienceregistry.org/trials/4112/history/47893
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-06-04
Intervention End Date
2021-06-30
Primary Outcomes
Primary Outcomes (end points)
1) Farmers' input decisions (mechanization decisions, and expenditures, quantities, and prices of inputs, including labor)
2) Farmers' output levels, revenues, output prices, and productivity
3) Informal rental arrangements' contractual terms
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The design is a two stage cluster randomized trial. In the first stage, villages will be assigned to treatment and control. In the second stage, farmers within treatment villages will be assigned to treatment and control.

1) Treatment arm 1 (70 villages), High-Intensity Mechanization Access
2) Treatment arm 2 (70 villages), Low-Intensity Mechanization Access
3) Treatment arm 3 (60 villages), Pure Control villages
Experimental Design Details
Not available
Randomization Method
Public lottery
Randomization Unit
we will have a two-stage randomization - the first state is at the village-level, and the second at the farmer-level.
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
200 villages
Sample size: planned number of observations
7100 farmers
Sample size (or number of clusters) by treatment arms
We will have three treatment arms: These will comprise the following:

1) Treatment arm 1 (70 villages), High-Intensity Mechanization Access: there will be about 35 treatment farmers and 20 control farmers in each village. Of these, about two-thirds of treatment farmers will get subsidized higher value rental equipment offers only, and the rest will get lower value rental equipment offers (which is worth half the value of higher value rental equipment vouchers). Additionally, half the treatment farmers will get a cash transfer equivalent to worth half the value of higher value rental equipment vouchers.

2) Treatment arm 2 (70 villages), Low-Intensity Mechanization Access: there will be 12 treatment farmers and 20 control farmers in each village. Of these, about two thirds of the treatment farmers will get subsidized higher value rental equipment offers only, and the rest will get lower value rental equipment offers (which is worth half the value of higher value rental equipment vouchers). Additionally, half the treatment farmers will get a cash transfer equivalent to worth half the value of higher value rental equipment vouchers.

3) Treatment arm 3 (60 villages), Pure Control villages: there will be 20 control farmers in each village
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Cornell University Office of Research Integrity and Assurance
IRB Approval Date
2019-05-02
IRB Approval Number
1904008725