2017
DOI: 10.1016/j.energy.2017.02.092
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Shocks affecting electricity prices in Kenya, a fractional integration study

Abstract: We conduct a fractional integration and cointegration study of several Kenyan electricity price series in order to determine whether signs of persistence or mean reversion can eventually be discovered. Such features can be considered as relevant when considering the possibilities of shocks affecting the energy market of Kenya, which has recently been subjected to major debate. We conclude that electricity prices in Kenya contain unit roots, implying permanent shocks lasting forever. Among the factors affecting… Show more

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Cited by 14 publications
(8 citation statements)
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“…Finally, regarding the specific usage of fractional integration in the context of energy, there are some studies that have used this methodology, including the contributions of Elder and Serletis [ 32 ] regarding energy future prices, Barros et al [ 33 ] focusing on U.S. renewable energy consumption, Weron [ 20 , 34 ] and Gil-Alana et al [ 35 ] in the field of electricity prices, and Barros et al [ 36 ] on energy prices.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Finally, regarding the specific usage of fractional integration in the context of energy, there are some studies that have used this methodology, including the contributions of Elder and Serletis [ 32 ] regarding energy future prices, Barros et al [ 33 ] focusing on U.S. renewable energy consumption, Weron [ 20 , 34 ] and Gil-Alana et al [ 35 ] in the field of electricity prices, and Barros et al [ 36 ] on energy prices.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The positive impact of fossil fuel prices as well as carbon emission prices on electricity prices has been verified in empirical studies in various countries [6][7][8][9]. Both fossil fuel and carbon emission allowances remain an important part of the cost of power generation worldwide at this stage.…”
Section: Introductionmentioning
confidence: 86%
“…This long memory feature has been observed in time series data referring to many different disciplines, including economics and finance [7][8][9], energy [10][11][12][13], tourism [14,15], environmental issues [16] and climatology [3,[17][18][19] among many others.…”
Section: Methodology and Data: Long Memorymentioning
confidence: 99%