Digitized Extension Service Business Model: An Experimental Evidence in Nigeria

Last registered on April 21, 2021

Pre-Trial

Trial Information

General Information

Title
Digitized Extension Service Business Model: An Experimental Evidence in Nigeria
RCT ID
AEARCTR-0007585
Initial registration date
April 20, 2021

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
April 21, 2021, 10:41 AM 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
Department of Sustainable Technologies, Faculty of Tropical AgriSciences, Czech University of Life Science in Prague

Other Primary Investigator(s)

PI Affiliation
Department of Sustainable Technologies, Faculty of Tropical AgriSciences, Czech University of Life Science in Prague
PI Affiliation
Department of Economics and Development, Faculty of Tropical AgriSciences, Czech University of Life Science in Prague
PI Affiliation
Africa Rice Center (AfricaRice)

Additional Trial Information

Status
In development
Start date
2021-06-21
End date
2022-11-21
Secondary IDs
Abstract
The sustainable economic development of the rice sector in sub-Sarahan Africa (SSA) required technological solutions, such as digitized extension service. This study aimed to seek appropriate payment methods for the sustainable development and adoption of digitized extension service business models. Three business models based on three different payment methods will be tested using a randomized control trial. The main outcome variable is rice yield and secondary outcome variables are creditworthiness, household income, well-being, and food security.
External Link(s)

Registration Citation

Citation
Amoussouhoui, Rico et al. 2021. "Digitized Extension Service Business Model: An Experimental Evidence in Nigeria." AEA RCT Registry. April 21. https://doi.org/10.1257/rct.7585
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
The intervention includes the treatment arm with three business models of a digitized extension Application, as defined by Osterwalder and Pigneur (2009). The business model in this study differs by payment method.
Intervention Start Date
2021-07-19
Intervention End Date
2022-08-22

Primary Outcomes

Primary Outcomes (end points)
Rice yield ( tonne/hectare)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Creditworthiness, Household income, welfare, and Food security
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The first treatment (BM1) foresees contract farming and personalized extension service with payment after harvest.
The treatment (BM2) provides the same service as presented in treatment 1, but with a different payment method. Based on the contract with the service provider, the cost of the service is included in the rice price.
The treatment (BM3) offers the same service but with a cash payment.
In addition to the treatment group, there is a Control group (C), with contract farming that describes the fixed price.
Experimental Design Details
Not available
Randomization Method
A multistage stratified sampling approach.
Randomization Unit
Local Government Area
Village
Rice farmers
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
72 Villages
Sample size: planned number of observations
1440 Rice farmers
Sample size (or number of clusters) by treatment arms
18 Villages by treatment arms and 18 Villages control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We have a minimum effect size of 263 at a power of 0.99, and a minimum detectable effect size of 0.3t/ha, and a Standard Deviation of 1.64.
IRB

Institutional Review Boards (IRBs)

IRB Name
Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague
IRB Approval Date
2021-03-26
IRB Approval Number
14/V/2021