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Energy and Carbon Emission in Kenya the Past and Future

dc.contributor.authorZhu, Ziyao
dc.date.accessioned2023-05-17T21:05:20Z
dc.date.available2023-05-17T21:05:20Z
dc.date.issued2023-05-17
dc.description.abstractThis paper used the Logarithmic mean Divisia index (LMDI) method to estimate the impact factors of carbon emissions in Kenya from 1999-2020. The major factors that led to Kenya’s carbon emission growth are discussed. Based on the socioeconomic data in 2020, this paper further uses Computable General Equilibrium (CGE) modeling to estimate the impact on Kenya’s economy and carbon emissions brought by potential energy tax.en_US
dc.identifier.urihttps://hdl.handle.net/1813/113150
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectKenya, Carbon Emission, Logarithmic mean Divisia index, Computable General Equilibriumen_US
dc.titleEnergy and Carbon Emission in Kenya the Past and Futureen_US
dc.typedissertation or thesisen_US
schema.accessibilityFeaturetaggedPDFen_US
schema.accessibilityHazardnoneen_US

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