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SSRN Electronic Journal
Article . 2015 . Peer-reviewed
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Modelling Renewable Energy Economy in Ghana with Autometrics

Authors: Ackah, Ishmael; Asomani, Mcomari;

Modelling Renewable Energy Economy in Ghana with Autometrics

Abstract

Renewable energy consumption has been identified as a potential solution to the intermittent power supply in Ghana. Recently, a Renewable Energy Act has been passed which has a target of 10% of renewable energy component in Ghana’s energy mix by 2020. Whilst effort is been made to enhance supply through feed in tariffs, education and tax reduction on renewable energy related equipment, there is the need to understand the drivers of renewable energy demand. In this study, the general unrestricted model through Autometrics is used to estimate the determinants of renewable energy demand in Ghana. The results indicate that both economic factors and non-economic affect the demand for renewable energy. In addition, the underlying energy demand trend exhibits energy using behaviour. The study recommends that economic factors such as consumer subsidies should be considered when promoting renewable energy demand.

Country
Germany
Keywords

Prices, Q41 - Demand and Supply, Q4 - Energy, Q21 - Demand and Supply, Q2 - Renewable Resources and Conservation, Renewable energy, energy consumption, Autometrics, Ghana, Q43 - Energy and the Macroeconomy, Q42 - Alternative Energy Sources, jel: jel:Q2, jel: jel:Q4, jel: jel:Q21, jel: jel:Q43, jel: jel:Q42, jel: jel:Q41

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    popularity
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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze