Determinants of renewable energy consumption in Uganda

Simple item page
dc.contributor.authorAyoku Emmanuel
dc.date.accessioned2025-06-19T09:00:53Z
dc.date.available2025-06-19T09:00:53Z
dc.date.issued2024-11-04
dc.descriptionA research report submitted to Makerere university business school (faculty of graduate studies and research) in partial fulfilment of the requirements for the award of the degree of master of energy economics and governance of Makerere university.
dc.description.abstractGlobally, renewable energy has gained significant attention as nations strive to increase its share in their energy mixes to mitigate environmental challenges and address the pressing issue of climate change. This study investigates the determinants of renewable energy consumption in Uganda, focusing on GDP per capita, carbon dioxide emissions, access to electricity, trade openness, and human development index. Utilizing a longitudinal research design with time series and quantitative approaches, we analyze data from the World Bank database covering 1990 to 2020. using the STATA statistical package. The analysis reveals both short-run and long-run relationships between Renewable energy consumption (Rec) and various factors, including GDP per capita (Gdp pc), Carbon dioxide emissions (Co2), Access to electricity (AE), Human Development Index (HDI), and Trade openness (TO).
dc.identifier.citationEmmanuel, A., (2024). Determinants of renewable energy consumption in Uganda.
dc.identifier.urihttp://hdl.handle.net/20.500.12282/5101
dc.language.isoen_US
dc.publisherMakerere University Business School, Kampala, Uganda
dc.titleDeterminants of renewable energy consumption in Uganda
dc.typeThesis
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ayoku Emmanuel, Determinants of renewable energy consumption in Uganda.pdf
Size:
1.2 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Thesis & Dissertations(Doctoral & Master)