Slipping through the net: can data science approaches help target clean cooking policy interventions?

by   André Paul Neto-Bradley, et al.

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 clean cooking interventions must enact a range of measures to address the barriers faced by households on different energy transition pathways.


Group segmentation and heterogeneity in the choice of cooking fuels in post-earthquake Nepal

Segmenting population into subgroups with higher intergroup, but lower i...

Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques

Policy Planning have the potential to contribute to the strategic develo...

On the Capacity Region of Bipartite and Tripartite Entanglement Switching

We study a quantum switch serving a set of users. The function of the sw...

Impact of Interventional Policies Including Vaccine on Covid-19 Propagation and Socio-Economic Factors

A novel coronavirus disease has emerged (later named COVID-19) and cause...

A Switching State-Space Transmission Model for Tracking Epidemics and Assessing Interventions

The effective control of infectious diseases relies on accurate assessme...

The Impact of Socioeconomic Factors on Health Disparities

High-quality healthcare in the US can be cost-prohibitive for certain so...

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts

Legged robots often use separate control policies that are highly engine...

Please sign up or login with your details

Forgot password? Click here to reset