Modelling residential electricity demand in the GCC countries

被引:71
|
作者
Atalla, Tarek N. [1 ]
Hunt, Lester C. [1 ,2 ]
机构
[1] KAPSARC, Riyadh, Saudi Arabia
[2] Univ Surrey, SEEC, Guildford GU2 5XH, Surrey, England
关键词
GCC residential electricity demand; Structural time series model; Impact of weather and exogenous underlying energy demand trend (UEDT); UNDERLYING ENERGY DEMAND; PANEL COINTEGRATION ANALYSIS; ASYMMETRIC PRICE RESPONSES; DYNAMIC REGRESSION-MODELS; TRANSPORT OIL DEMAND; CLIMATE-CHANGE; CONSUMPTION; TRENDS; UK; SEASONALITY;
D O I
10.1016/j.eneco.2016.07.027
中图分类号
F [经济];
学科分类号
02 ;
摘要
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). (C) 2016 King Abdullah Petroleum Studies and Research Center (KAPSARC). Published by Elsevier B.V.
引用
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页码:149 / 158
页数:10
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