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Estimating the Social and Economic Impacts from Renewable Energy Developments in Emerging Energy Markets

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Date
2020-04-24
Authors
Kaynor, Camille
Simarmata, Monica Raphita
Zhang, Jiayi
Advisor
Lima, Dr. Luana Marangon
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Abstract
It is both well-understood and well-documented that household-level energy access introduces numerous social and economic benefits, including financial savings from fuel switching, increased study time for students, and increased ability to conduct income-generating activities within the household. Energy access specifically from renewable sources not only presents benefits due solely to the access to electricity they provide, but their elimination of fossil-based energy sources presents additional environmental, social, economic, and health-related benefits. Using Multi-Tier Framework (MTF) survey data from Myanmar and Nepal, and a statistical technique called “propensity score matching” (PSM), we establish regression models for predicting the social and economic impact from a renewable energy development in both Myanmar and Nepal. Ultimately, this tool provides users with data-backed information regarding optimal placement of renewable energy developments within Nepal and Myanmar to maximize social and/or economic benefits.
Type
Master's project
Department
Nicholas School of the Environment and Earth Sciences
Subject
renewable energy
emerging energy markets
social impact
economic impact
health impact
Multi-Tier Framework
energy access
Myanmar
Nepal
Permalink
https://hdl.handle.net/10161/20509
Citation
Kaynor, Camille; Simarmata, Monica Raphita; & Zhang, Jiayi (2020). Estimating the Social and Economic Impacts from Renewable Energy Developments in Emerging Energy Markets. Master's project, Duke University. Retrieved from https://hdl.handle.net/10161/20509.
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Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.

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