Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)

Ngui, Dianah; Mutua, John; Osiolo, Helen Hoka; Aligula, Eric

doi:10.1016/j.enpol.2011.08.015

Cited by 71 publications

(32 citation statements)

References 29 publications

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“…At the household level, energy demand may be determined by economic, geographic, housing and demographic characteristics (Pachauri, 2004;IEA, 2006;Hosier et al, 1993) as well as by natural factors like temperature (Xiaohua and Jingfei, 2005). To some extent, socio-cultural factors also play an essential role in determining household energy choice (Ogwumike et al, 2014;Sehjpal et al, 2014;Akpalu et al, 2011;Ngui et al, 2011;Peng et al, 2010;Masera and Navia, 1997). In rural areas of developing countries, modern fuels play a relatively modest role and are often confined to the top income groups (Heltberg, 2004).…”

Section: Figure 2: Energy Ladder Hypothesis Source: Constructed By Thmentioning

confidence: 99%

Energy: An Exploratory Study on the Experience of Developing Countries in the Context of Development and the State of the Environment

Das

Talukdar

Mahanta

2019

SACI

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Energy is required for development because it facilitates production and makes day to day activity less cumbersome. The industrial revolution and the progress after that would not have been possible without increased energy use. Issues related to energy use in developing countries are complicated. These countries use energy derived mostly from non-renewable sources such as petroleum, coal and inefficient fuels like firewood, and biomass. Thus, energy use leads to environmental pollution. Hence, policy measures aimed at the development imperative may conflict with policies relating to conserving the environment. Against this background, the paper tries to examine the relationship between energy use and development at the macro and micro levels and how energy use affects the environment. This study is exploratory and relies on traditional literature review. Our study relates to nonrenewable energy sources in the context of developing countries. We find that there is no uniformity of results in the relationship between energy use, development and the state of the environment. We recommend further studies to ascertain the causes of such inconclusiveness. At the household level, people are deprived of the assured and adequate supply of efficient fuels for domestic use. Hence, policy measures should strive to ensure ease of access to reliable and affordable energy sources as development proceeds.

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Section: Figure 2: Energy Ladder Hypothesis Source: Constructed By Thmentioning

confidence: 99%

Energy: An Exploratory Study on the Experience of Developing Countries in the Context of Development and the State of the Environment

Das

Talukdar

Mahanta

2019

SACI

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“…4 Another definition of fuel stacking is that households use more than one fuel in their energy consumption (Ngui et al 2011) without a differentiating according to the purpose it is used for. However, this fact alone is not sufficient for fuel stacking in our context.…”

Section: Evidencementioning

confidence: 99%

Renewables in the Energy Transition: Evidence on Solar Home Systems and Lighting-Fuel Choice in Kenya

2012

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We study the determinants of households' choices of lighting fuels in Kenya, including the option of using solar home systems (SHSs). The paper adds new evidence on the factors that influence the introduction and adoption of decentralized and less carbon-intensive energy sources in developing countries. We capitalize on a unique representative survey on energy use and sources from Kenya, one of the few relatively well-established SHSs markets in the world. Our results reveal some very interesting patterns in the fuel transition in the context of lighting-fuel choices. While we find clear evidence for a crosssectional energy ladder, the income threshold for modern fuel use -including solar energy use -is very high. Income and education turn out to be key determinants of SHSs adoption, but we also find a very pronounced effect of SHSs clustering. In addition, we do not find a negative correlation between grid access and SHSs use.

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“…A more recent application modelled Kenyan household demand for different energy products (e.g. kerosene) through the use of a conditional LA-AIDS (Ngui et al 2011). In the present paper, the conditional LA-AIDS model only considers expenditure on milk products.…”

Section: Demand Modellingmentioning

confidence: 99%

The implications of empirical and 1:1 substitution ratios for consequential LCA: using a 1 % tax on whole milk as an illustrative example

Chalmers

Brander

Revoredo‐Giha

2015

Int J Life Cycle Assess

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Purpose There is an apparent convention within both consequential and attributional life cycle assessment (LCA) to assume a 1:1 substitution ratio between functionally equivalent product systems. However, this convention may not be compatible with the purpose of consequential LCA, which is to model the actual consequences of the decision at hand. This paper explores the implications of the convention using the illustrative example of a 1 % tax on whole milk. Methods A consequential LCA which assumes a 1:1 substitution ratio between two functionally equivalent product systems is compared with the results of an analysis that estimates the actual substitution ratio based on empirical data. Crossprice elasticities of demand for possible competitor products are modelled using a linear approximated almost ideal demand system (LA-AIDS). Results and discussion The results show a 1:0.52 substitution ratio between whole and low fat milk, rather than a 1:1 substitution ratio. Depending on the consequential LCA values for whole and low fat milk, the 1:1 convention could underestimate the greenhouse gas emission reductions from the tax by over 400 %. Conclusions The results suggest that it is highly important to model actual substitution ratios between competing product systems in order to capture the consequences of the decision at hand. As a subsidiary contribution, the paper also shows the importance of modelling the displacement effects of milk fat co-products, which are generally not considered in the existing LCA literature on milk.

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Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)

Cited by 71 publications

References 29 publications

Energy: An Exploratory Study on the Experience of Developing Countries in the Context of Development and the State of the Environment

Energy: An Exploratory Study on the Experience of Developing Countries in the Context of Development and the State of the Environment

Renewables in the Energy Transition: Evidence on Solar Home Systems and Lighting-Fuel Choice in Kenya

The implications of empirical and 1:1 substitution ratios for consequential LCA: using a 1 % tax on whole milk as an illustrative example

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