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Field
Trial Title
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Before
Platform-Based Labor Contracts and the Diffusion of Electric Vehicles in Nairobi's Taxi Industry
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After
Platform-Based Incentives and the Diffusion of Electric Vehicles in Nairobi's Taxi Industry
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Field
Abstract
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Before
This study evaluates whether labor contracts combined with rider-and-driver matching platforms can improve the business viability, safety, and scalability of EV adoption into taxi industry. The study also assesses the comparative effectiveness of these labor contracts against other kinds of incentives. Our objective is to empirically validate contemporary discussions regarding the cost competitiveness of EVs in real-world contexts and to investigate how platform-based labor contracts can assist drivers in overcoming financial, liquidity, and behavioral barriers to EV adoption.
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After
This study evaluates whether labor and capital incentives combined with rider-and-driver matching platforms can improve drivers' working conditions, safety, firms' business viability, and scalability of EV adoption into taxi industry.
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Field
Trial End Date
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Before
February 28, 2025
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After
May 31, 2025
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Field
Last Published
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Before
February 11, 2025 10:20 PM
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After
February 11, 2025 11:10 PM
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Field
Intervention (Public)
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Before
A start up company's guaranteed salary program
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After
Guaranteed salary scheme for drivers on fixed labor hour contracts, Lease-To-Own program for Electric Vehicles (EVs)
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Field
Intervention End Date
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Before
October 31, 2024
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After
March 21, 2025
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Field
Primary Outcomes (End Points)
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Before
labor hours, earnings, fuel usage
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After
labor hours, earnings, fuel costs
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Field
Experimental Design (Public)
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Before
For the initial experiment, we recruit taxi drivers and randomly assign them to either a treatment group (utilizing an EV-based platform for taxi driver hiring) or a control group to track labor, energy, driving, and other outcomes over several weeks. Subsequently, we conduct a second study examining changes in the intervention and their consequences for drivers and businesses.
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After
In the first phase of the experiment, we recruit taxi drivers and randomly assign them to either a treatment group (using an EV-based platform for taxi hiring) or a control group. We track labor and other outcomes for those hired on a fixed salary, compared to those who remain self-employed. In the second phase, we examine the labor dynamics, driving behavior, and other impacts as drivers transition from the EV-based platform model back to self-employment under an EV Lease-To-Own program.
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Field
Sample size (or number of clusters) by treatment arms
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Before
25 treated, 27 control and then 420 phase-in treatment changes
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After
25 treated, 24 control and then 420 phase-in treatment changes
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Field
Secondary Outcomes (End Points)
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Before
environmental and social welfare estimates, driving safety
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After
road safety, idle time, and other driving behavior indicators
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