Household Fuel Choice and Use: A Multiple Discrete-Continuous Framework

Aemiro Melkamu Daniel
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引用次数: 1

Abstract

This paper provides a joint analysis of multiple fuel types and use choices and explores the socio-demographic and housing characteristics that affect household fuel use decisions. Using household survey data from urban Ethiopia, this paper estimates a mixed multiple discretecontinuous extreme value (MMDCEV) model. The results indicate that households with a female head are more likely to combine traditional biomass fuels (firewood and charcoal) and electricity for different uses, while households with less-educated heads, larger families, and poorer living conditions (fewer rooms) tend to rely on traditional biomass fuels. The results also show that households with an individual electricity meter are significantly less likely to use charcoal. Further, the results show that the satiation effect from increased use of a fuel is relatively higher for firewood and lower for electricity. The findings in this paper can be useful to inform energy policy, including more effective targeting of subsidies for liquefied petroleum gas (LPG) purchases and private electricity meter installations, and for interventions that promote adoption of improved biomass cookstoves.
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家用燃料的选择和使用:一个多重离散-连续的框架
本文提供了多种燃料类型和使用选择的联合分析,并探讨了影响家庭燃料使用决策的社会人口和住房特征。本文利用埃塞俄比亚城市住户调查数据,估计了一个混合多元离散连续极值(MMDCEV)模型。结果表明,女性户主的家庭更有可能将传统的生物质燃料(木柴和木炭)和电力结合起来用于不同用途,而户主受教育程度较低、家庭人口较多和生活条件较差(房间较少)的家庭则倾向于依赖传统的生物质燃料。调查结果还显示,拥有单独电表的家庭使用木炭的可能性明显降低。此外,结果表明,增加使用一种燃料对木柴的饱和效应相对较高,而对电力的饱和效应相对较低。本文的研究结果可以为能源政策提供有用的信息,包括更有效地针对液化石油气(LPG)购买和私人电表安装的补贴,以及促进采用改进的生物质炉灶的干预措施。
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