气候变化领域集成服务门户(CCPortal): Slipping through the net: Can data science approaches help target clean cooking policy interventions?

CCPortal

DOI	10.1016/j.enpol.2020.111650
	Slipping through the net: Can data science approaches help target clean cooking policy interventions?
	Neto-Bradley A.P.; Choudhary R.; Bazaz A.
发表日期	2020
ISSN	03014215
卷号	144
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
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
语种	英语
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/204795
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
推荐引用方式 GB/T 7714	Neto-Bradley A.P.,Choudhary R.,Bazaz A.. Slipping through the net: Can data science approaches help target clean cooking policy interventions?[J],2020,144.
APA	Neto-Bradley A.P.,Choudhary R.,&Bazaz A..(2020).Slipping through the net: Can data science approaches help target clean cooking policy interventions?.Energy Policy,144.
MLA	Neto-Bradley A.P.,et al."Slipping through the net: Can data science approaches help target clean cooking policy interventions?".Energy Policy 144(2020).