Estimating the Social and Economic Impacts from Renewable Energy Developments in Emerging Energy Markets
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 projectSubject
renewable energyemerging energy markets
social impact
economic impact
health impact
Multi-Tier Framework
energy access
Myanmar
Nepal
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https://hdl.handle.net/10161/20509Citation
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.Collections
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.
Rights for Collection: Nicholas School of the Environment
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