Modelling residential electricity demand in the GCC countries

This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series model. In addition to the economic variables of GDP and real electricity prices, the model accounts for population, weather, and a stochasti...

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Published inEnergy economics Vol. 59; pp. 149 - 158
Main Authors Atalla, Tarek N., Hunt, Lester C.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier B.V 01.09.2016
Elsevier Science Ltd
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Abstract This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series model. In addition to the economic variables of GDP and real electricity prices, the model accounts for population, weather, and a stochastic underlying energy demand trend as a proxy for efficiency and human behaviour. The resulting income and price elasticities are informative for policy makers given the paucity of previous estimates for a region with particular political structures and economies subject to large shocks. In particular, the estimates allow for a sound assessment of the impact of energy-related policies suggesting that if policy makers in the region wish to curtail future residential electricity consumption they would need to improve the efficiency of appliances and increase energy using awareness of consumers, possibly by education and marketing campaigns. Moreover, even if prices were raised the impact on curbing residential electricity growth in the region is likely to be very small given the low estimated price elasticities—unless, that is, prices were raised so high that expenditure on electricity becomes such a large proportion of income that the price elasticities increase (in absolute terms). •Residential electricity demand for Bahrain, Kuwait, Oman, and Saudi Arabia•Estimated residential electricity demand relationships using STSM/UEDT approach•LR income and price elasticities from 0.43 to 0.71 and −0.16 to zero respectively•Impact CDD elasticities from 0.2 to 0.7•Estimated UEDTs suggest exogenous electricity using behaviour.
AbstractList This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series model. In addition to the economic variables of GDP and real electricity prices, the model accounts for population, weather, and a stochastic underlying energy demand trend as a proxy for efficiency and human behaviour. The resulting income and price elasticities are informative for policy makers given the paucity of previous estimates for a region with particular political structures and economies subject to large shocks. In particular, the estimates allow for a sound assessment of the impact of energy-related policies suggesting that if policy makers in the region wish to curtail future residential electricity consumption they would need to improve the efficiency of appliances and increase energy using awareness of consumers, possibly by education and marketing campaigns. Moreover, even if prices were raised the impact on curbing residential electricity growth in the region is likely to be very small given the low estimated price elasticities--unless, that is, prices were raised so high that expenditure on electricity becomes such a large proportion of income that the price elasticities increase (in absolute terms). All rights reserved, Elsevier
This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series model. In addition to the economic variables of GDP and real electricity prices, the model accounts for population, weather, and a stochastic underlying energy demand trend as a proxy for efficiency and human behaviour. The resulting income and price elasticities are informative for policy makers given the paucity of previous estimates for a region with particular political structures and economies subject to large shocks. In particular, the estimates allow for a sound assessment of the impact of energy-related policies suggesting that if policy makers in the region wish to curtail future residential electricity consumption they would need to improve the efficiency of appliances and increase energy using awareness of consumers, possibly by education and marketing campaigns. Moreover, even if prices were raised the impact on curbing residential electricity growth in the region is likely to be very small given the low estimated price elasticities--unless, that is, prices were raised so high that expenditure on electricity becomes such a large proportion of income that the price elasticities increase (in absolute terms).[web URL:http://www.sciencedirect.com]
This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series model. In addition to the economic variables of GDP and real electricity prices, the model accounts for population, weather, and a stochastic underlying energy demand trend as a proxy for efficiency and human behaviour. The resulting income and price elasticities are informative for policy makers given the paucity of previous estimates for a region with particular political structures and economies subject to large shocks. In particular, the estimates allow for a sound assessment of the impact of energy-related policies suggesting that if policy makers in the region wish to curtail future residential electricity consumption they would need to improve the efficiency of appliances and increase energy using awareness of consumers, possibly by education and marketing campaigns. Moreover, even if prices were raised the impact on curbing residential electricity growth in the region is likely to be very small given the low estimated price elasticities—unless, that is, prices were raised so high that expenditure on electricity becomes such a large proportion of income that the price elasticities increase (in absolute terms). •Residential electricity demand for Bahrain, Kuwait, Oman, and Saudi Arabia•Estimated residential electricity demand relationships using STSM/UEDT approach•LR income and price elasticities from 0.43 to 0.71 and −0.16 to zero respectively•Impact CDD elasticities from 0.2 to 0.7•Estimated UEDTs suggest exogenous electricity using behaviour.
Author Atalla, Tarek N.
Hunt, Lester C.
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Keywords Impact of weather and exogenous underlying energy demand trend (UEDT)
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Structural time series model
GCC residential electricity demand
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Snippet This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series...
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SubjectTerms Consumers
Consumption
Demand
Economic models
Efficiency
Electric appliances
Electric power demand
Electricity
Electricity consumption
Electricity pricing
Energy consumption
Energy demand
Energy economics
Energy policy
GCC residential electricity demand
GDP
Gross Domestic Product
Guanosine diphosphate
Household appliances
Human behavior
Impact of weather and exogenous underlying energy demand trend (UEDT)
Income
International cooperation
Marketing
Policy making
Price elasticity
Price increases
Prices
Real variables
Residential energy
Stochasticity
Structural time series model
Studies
Weather
Title Modelling residential electricity demand in the GCC countries
URI https://dx.doi.org/10.1016/j.eneco.2016.07.027
https://www.proquest.com/docview/1832794652
https://www.proquest.com/docview/1847487283
Volume 59
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