Accurate intercensal estimates of energy access to track Sustainable Development Goal 7.

ABSTRACT: Intercensal estimates of access to electricity and clean cooking fuels at policy planning microregions in a country are essential for understanding their evolution and tracking progress towards Sustainable Development Goals (SDG) 7. Surveys are prohibitively expensive to get such intercensal microestimates. Existing works, mainly, focus on electrification rates, make predictions at the coarse spatial granularity, and generalize poorly to intercensal periods. Limited works focus on estimating clean cooking fuel access, which is one of the crucial indicators for measuring progress towards SDG 7. We propose a novel spatio-temporal multi-target Bayesian regression model that provides accurate intercensal microestimates for household electrification and clean cooking fuel access by combining mu

SUBMITTER: Pokhriyal N 

PROVIDER: S-EPMC9734985 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature