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Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study

تنبؤات الأسر والمجتمعات المحلية ودون الوطنية والقطرية لتبديل وقود الطهي الأساسي في تسعة بلدان من الدراسة الصرفة
Authors: Shupler, Matthew; Hystad, Perry; Gustafson, Paul; Rangarajan, Sumathy; Mushtaha, Maha; Jayachtria, KG; Mony, Prem K; +193 Authors

Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study

Abstract

Abstract Introduction. Switching from polluting (e.g. wood, crop waste, coal) to clean (e.g. gas, electricity) cooking fuels can reduce household air pollution exposures and climate-forcing emissions. While studies have evaluated specific interventions and assessed fuel-switching in repeated cross-sectional surveys, the role of different multilevel factors in household fuel switching, outside of interventions and across diverse community settings, is not well understood. Methods. We examined longitudinal survey data from 24 172 households in 177 rural communities across nine countries within the Prospective Urban and Rural Epidemiology study. We assessed household-level primary cooking fuel switching during a median of 10 years of follow up (∼2005–2015). We used hierarchical logistic regression models to examine the relative importance of household, community, sub-national and national-level factors contributing to primary fuel switching. Results. One-half of study households (12 369) reported changing their primary cooking fuels between baseline and follow up surveys. Of these, 61% (7582) switched from polluting (wood, dung, agricultural waste, charcoal, coal, kerosene) to clean (gas, electricity) fuels, 26% (3109) switched between different polluting fuels, 10% (1164) switched from clean to polluting fuels and 3% (522) switched between different clean fuels. Among the 17 830 households using polluting cooking fuels at baseline, household-level factors (e.g. larger household size, higher wealth, higher education level) were most strongly associated with switching from polluting to clean fuels in India; in all other countries, community-level factors (e.g. larger population density in 2010, larger increase in population density between 2005 and 2015) were the strongest predictors of polluting-to-clean fuel switching. Conclusions. The importance of community and sub-national factors relative to household characteristics in determining polluting-to-clean fuel switching varied dramatically across the nine countries examined. This highlights the potential importance of national and other contextual factors in shaping large-scale clean cooking transitions among rural communities in low- and middle-income countries.

Countries
United Kingdom, Colombia, South Africa, Colombia
Keywords

Economics, Health, Toxicology and Mutagenesis, Organic chemistry, Combustion, Health Effects of Air Pollution, Environmental technology. Sanitary engineering, Primary cooking fuel switching, Engineering, Electricity, GE1-350, Rebound Effect on Energy Efficiency and Consumption, TD1-1066, Agricultural economics, clean cooking, Energy, Physics, primary cooking fuel switching, Q, Multilevel modeling, Liquefied petroleum gas, Clean cooking, Pollution, Chemistry, Coal, Environmental health, Physical Sciences, Medicine, Science, QC1-999, Population, household air pollution, Solid fuel, Environmental science, Kerosene, Indoor Air Pollution in Developing Countries, Waste management, multilevel modeling, Household Fuel Use, Renewable Energy, Sustainability and the Environment, 420, Household air pollution, Environmental sciences, Electrical engineering, Environmental Science

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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