Reassessing the “energy ladder”: Household energy use in Maun, Botswana

Horst, Greg Hiemstra-van der; Hovorka, Alice J.

doi:10.1016/j.enpol.2008.05.006

Cited by 225 publications

(92 citation statements)

References 44 publications

(153 reference statements)

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“…Several empirical studies of varying size and representativeness have examined fuel switching at the household level, mainly using data sets from developing countries (Davis 1998;Hanna and Oliva 2015;Heltberg 2004;Hiemstra-van der Horst and Hovorka 2008;Hosier and Dowd 1987;Masera, Saatkamp, and Kammen 2000;Pachauri and Jiang 2008;Sathaye and Tyler 1991). These studies have made clear the importance of access to modern fuels and household income in determining take-up and increased use of modern fuels.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Composition and Sensitivity of Residential Energy Consumption

Jiménez¹,

Yépez-García²

2016

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in IDB-WP-690Copyright © Inter-American Development Bank. This work is licensed under a Creative Commons IGO 3.0 AttributionNonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose, as provided below. No derivative work is allowed.Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license. AbstractUnderstanding how energy use evolves at different stages of development is essential for reliable prospective analysis and planning. With that aim in mind, this paper examines the composition of residential energy consumption and its sensitivity to income changes, distinguishing fuel types and accounting for complete heterogeneity of the income coefficient. The focus on domestic energy use allows for the examination of fuel transition under the conceptual framework of the energy ladder and energy portfolio hypotheses, showing the increasing need for modern fuels in the household sector. The results indicate a nonlinear relationship between income and domestic energy consumption that can be attributed to two factors. First, along the income distribution, consumption of modern fuels increases, replacing traditional and transitional fuels until modern fuels drive all of the growth in domestic energy demand. Second, at th...

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Section: Conceptual Frameworkmentioning

confidence: 99%

Composition and Sensitivity of Residential Energy Consumption

Jiménez¹,

Yépez-García²

2016

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“…They only studied on the factors' impact on total household energy and electricity consumption but did not analyze per capital residential electric consumption and urbanization's impact on per capita residential electricity consumption. Therefore, this paper differs from the previous studies [19][20] with a focus on the analysis of impacts on electricity consumption caused by the changes in population structure, income and electricity consumption tendency in the process of urbanization in China.…”

Section: （%）mentioning

confidence: 97%

“…Hiemstra-van der Horst and Hovorka [19] studied urbanization's influence on energy consumption in Sub-Saharan Africa and the results indicated that there was no obvious "energy transition" phenomenon, and they thought it has little to do with the change in household energy conversion mode. Liu [20] examined the relationship between urbanization and energy consumption.…”

Section: （%）mentioning

confidence: 99%

Income, Consumption Tendency and Per Capital Electricity Consumption in the Age of China' Urbanization

Wen¹,

Chong-huai²,

Yao³

et al. 2017

Proceedings of the 3rd 2017 International Conference on Sustainable Development (ICSD 2017)

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Abstract. The rapid development of urbanization in China is coupled with the increase in per capital electricity consumption. This study focuses on the impacts of residents' income change and consumption tendency change on per capital electricity consumption in the process of urbanization in China. In this paper, LMDI method is used to analyze each factor's impact on per capital electricity consumption in the process of urbanization in China. The results show that income effect is the major determinant of per capital electricity consumption which is followed by population structure effect and electricity consumption effect; income effect in the urban regions is more than that in the rural regions; electricity consumption tendency effect in the rural regions is more than that in the urban regions.

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“…For example, Hiemstra-van Der Horst and Hovorka [11] confirm that multiple energy sources are used by households in Maun, Botswana, supporting the energy stacking model, although their evidence could not deny the energy ladder model. Nansaior [4] and Gundimeda [12] support the energy ladder model because biomass use declines as households become more urbanized.…”

Section: Literature Reviewmentioning

confidence: 99%