Grid Electricity, Time Allocation and Indoor Air Pollution in Bhutan: An Evidence from Field Experiment

Last registered on September 17, 2024

Pre-Trial

Trial Information

General Information

Title
Grid Electricity, Time Allocation and Indoor Air Pollution in Bhutan: An Evidence from Field Experiment
RCT ID
AEARCTR-0014247
Initial registration date
September 13, 2024

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
September 17, 2024, 1:48 PM EDT

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

Locations

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Primary Investigator

Affiliation
Asian Development Bank Institute

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2024-09-14
End date
2024-11-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Electricity enables households (in developing countries) to adopt new technologies. It is assumed that electricity will make households more efficient and maximize household welfare, particularly from time savings. Most empirical evidence supporting the benefits of electricity are from observational studies that rely on strong identification assumptions. For instance, studies suggest that access to electricity improves labor market participation (Dinkelman, 2011; Grogan et al., 2013; He, 2019), reduces firewood consumption (Dendup, 2021; Litzow et al., 2019), increases income (Khandker et al., 2012; Van de Walle et al., 2017), increases firm output (Rud, 2012), and enhances educational outcomes (Lipscomb et al., 2013; Baron et al., 2014). However, above observational studies assumes strong identification assumptions. Among others, one of the popular methods used in the electricity impact literature is instrumental variable (IV) strategies, which are often criticized for potential violations of the exclusion restriction assumption. This study will create exogenous variation in electricity usage by randomly assigning incentives to conserve electricity. By using this exogenous variation, it aims to contribute to the growing literature on the impact of grid electricity on five key areas: (1) education, (2) cooking fuel, (3) indoor air pollution, (4) wage labor, and (5) leisure.
External Link(s)

Registration Citation

Citation
Dendup, Ngawang . 2024. "Grid Electricity, Time Allocation and Indoor Air Pollution in Bhutan: An Evidence from Field Experiment." AEA RCT Registry. September 17. https://doi.org/10.1257/rct.14247-1.0
Sponsors & Partners

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
Experimental Details

Interventions

Intervention(s)
In this study, we provide monetary incentives to conserve electricity. We will exploit this variation to examine the impact of electricity, which help us to overcome the potential bias in the electricity impact literature.
Intervention Start Date
2024-10-01
Intervention End Date
2024-11-30

Primary Outcomes

Primary Outcomes (end points)
1) education (of school going children), (2) cooking fuel, (3) indoor pollution (proxied binary cough, fever, red-eye and sneezing), (4) wage
labor (of wife and husband), and (5) leisure (time spent on television, friends and phone)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This is study will be conducted in the small subdistrict (gewog) called Khaling under Tashigang district. Baseline survey will be conducted from September 14 to September 22, 2014. Households in the treatment will rewarded with Nu 10 per kWh of electricity saved compared to baseline consumption in July.
Experimental Design Details
Not available
Randomization Method
Public lottery
Randomization Unit
Household
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
416 households
Sample size: planned number of observations
416 households
Sample size (or number of clusters) by treatment arms
208 each households in treatment and control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Based on the consumption of October and November 2023, mean and standard deviation of consumption are 97.09 kWh and standard deviation 21.80 kWh. We target to achieve the power of 80%. Using this parameter, minimum detectable effect size is 6 kWh.
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information