DOI: 10.1016/j.enpol.2020.111650
论文题名: Slipping through the net: Can data science approaches help target clean cooking policy interventions?
作者: Neto-Bradley A.P. ; Choudhary R. ; Bazaz A.
刊名: Energy Policy
ISSN: 03014215
出版年: 2020
卷: 144 语种: 英语
中文关键词: Cooking fuel
; Energy access
; Energy poverty
; India
; Urban analytics
英文关键词: Biomass
; Liquefied petroleum gas
; Clustering analysis
; Descriptive analysis
; Local variations
; Policy intervention
; Socio-economic consequences
; Transition pathway
; Tree-based ensembles
; Two-step approach
; Stoves
; biofuel
; biomass
; cooking appliance
; household energy
; liquefied petroleum gas
; India
英文摘要: Reliance on solid biomass cooking fuels in India has negative health and socio-economic consequences for households, yet policies aimed at promoting uptake of LPG for cooking have not always been effective at promoting sustained transition to cleaner cooking amongst intended beneficiaries. This paper uses a two step approach combining predictive and descriptive analyses of the IHDS panel dataset to identify different groups of households that switched stove between 2004/5 and 2011/12. A tree-based ensemble machine learning predictive analysis identifies key determinants of a switch from biomass to non-biomass stoves. A descriptive clustering analysis is used to identify groups of stove-switching households that follow different transition pathways. There are three key findings of this study: firstly non-income determinants of stove switching do not have a linear effect on stove switching, in particular variables on time of use and appliance ownership which offer a proxy for household energy practices; secondly location specific factors including region, infrastructure availability, and dwelling quality are found to be key determinants and as a result policies must be tailored to take into account local variations; thirdly some groups of households that adopt non-biomass stoves continue using biomass and interventions should be targeted to reduce their biomass use. © 2020 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/167382
Appears in Collections: 气候变化与战略
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作者单位: Department of Engineering, University of Cambridge, Cambridge, United Kingdom; Data Centric Engineering, Alan Turing Institute, London, United Kingdom; Indian Institute for Human Settlements, Bangalore, India
Recommended Citation:
Neto-Bradley A.P.,Choudhary R.,Bazaz A.. Slipping through the net: Can data science approaches help target clean cooking policy interventions?[J]. Energy Policy,2020-01-01,144