Ghana - Line Bifurcation

Metadata Updated: February 10, 2021

We are a team of engineers and economists currently engaged an impact evaluation of the Ghana II Compact, which focuses on the efficacy of the infrastructure investments in line bifurcation. The team designed and is in the process of implementing the impact evaluation to measure the socioeconomic benefits of a reduction in outage duration and frequency and an increase in voltage quality due to improvements brought about by the Ghana II Compact. To do this, we use two sources of variation - priority feeders during the Dumsor period to create a differences in differences evaluation and secondly we use the quasi-experimental variation associated with the Ghana II Compact's line bifurcation improvements - to estimate the causal effect of improvements in power reliability and quality on socioeconomic outcomes. First, we estimate the extent to which power reliability and quality affect firm and household electricity consumption directly through its impacts on the purchasing and usage patterns of electrical appliances or machinery. We then estimate whether this affects economic outcomes such as firm productivity, profits, or revenues, or household income. At a high level, the team aims to measure primary Compact outcomes, including the frequency (SAIFI) and duration (SAIDI) of outages, and voltage level irregularities and then evaluate the socioeconomic impacts of improvements in those outcomes due to the Compact. Additionally, this study is set up to answer questions such as: 1. What are the economic and socio-economic benefits of access to reliable power on customers, including households and enterprises? How are these benefits distributed?
2. What happens within households and businesses when the power goes out? When it comes back on? 3. How long does it take households and businesses to make lumpy investments in power consuming technology when the reliability of the grid improves? 4. What is the Program's overall impact on the profitability and productivity of enterprises? What are the mechanisms or channels through which these impacts occur? 5. To what extent do firms respond to more reliable, accessible, and/or higher quality power by: +Expanding or intensifying production +Expanding employment +Investing in expanded plant or other fixed assets and/or different production technologies reliant on electricity 6. Are customers notified ahead of schedule of their outages? What is the differential impact on customers between known and unknown outages? What is the impact of known versus unknown outages on customer relations?
7. To what extent are cross-customer variations in outages and voltage quality driven by politics versus profit maximization?

To complete the Ghana II Compact evaluation we are designing and deploying a suite of low-cost technologies - GridWatch - to determine outage location and to measure outage duration, outage frequency, and voltage quality on the electrical grid. And using the data collected from the GridWatch sensors to measure the socioeconomic benefits of a reduction in outage duration and frequency and an increase in voltage quality as experienced by end-users. This will help us estimate customers' willingness to pay for reduced outages and increased voltage quality.

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Dates

Metadata Created Date November 12, 2020
Metadata Updated Date February 10, 2021

Metadata Source

Harvested from MCC Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date February 10, 2021
Publisher Millennium Challenge Corporation
Unique Identifier Unknown
Maintainer
Identifier DDI-MCC-GHA-UCB-GRDW-2020-v01
Data Last Modified 2020-09-21
Public Access Level public
Bureau Code 184:03
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Homepage URL https://data.mcc.gov/evaluations/index.php/catalog/266
License https://data.mcc.gov/terms-and-conditions.php
Program Code 184:000
Source Datajson Identifier True
Source Hash bc5862525716f577a5b10185a78ee4c6c8f0cd15
Source Schema Version 1.1

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