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dc.contributor.authorZhang, Rui
dc.contributor.authorWei, Taoyuan
dc.contributor.authorSun, Jie
dc.contributor.authorShi, Qinghua
dc.date.accessioned2017-11-13T09:25:23Z
dc.date.available2017-11-13T09:25:23Z
dc.date.created2015-08-27T07:05:50Z
dc.date.issued2016
dc.identifier.citationTechnological forecasting & social change. 2016, 102 297-308.nb_NO
dc.identifier.issn0040-1625
dc.identifier.urihttp://hdl.handle.net/11250/2465709
dc.descriptionThe final publication is available at Elseviernb_NO
dc.description.abstractThe energy ladder model and energy stacking model have been proposed in the literature to describe the relations between income growth and transition of energy consumed by households. Both models are largely descriptive and provide limited guidelines for quantitative verification. By contrast, the logistic substitution model has been adopted much earlier to depict the long-run energy transition of a society over time. This model assumes that substitute technologies in energy sources are available in the energy market. In the present paper, we argue that household energy transition over income can follow the same pattern as energy dynamics over time in the logistic substation model. Hence, we construct a new model, energy wave transition model, by adapting the logistic substitution model to describe household energy transition both over time and over income. The new model not only captures the features presented in the energy ladder and stacking models, but also provides methods for quantitative verification.We illustrate the new model using the energy consumption pattern of Chinese households as an example.nb_NO
dc.language.isoengnb_NO
dc.titleWave transition in household energy usenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber297-308nb_NO
dc.source.volume102nb_NO
dc.source.journalTechnological forecasting & social changenb_NO
dc.identifier.doi10.1016/j.techfore.2015.08.014
dc.identifier.cristin1260187
dc.relation.projectNorges forskningsråd: 209701nb_NO
dc.relation.projectNorges forskningsråd: 244119nb_NO
cristin.unitcode7475,0,0,0
cristin.unitnameCICERO Senter for klimaforskning
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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