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Patterns and predictors of household fuel choices in Maswa District, Tanzania

Bibliographic Data

ID22110574
AuthorsJohn G Safari (Moshi Co-operative University), J Safari (0000-0002-5580-1070, Moshi Co-operative University, corresponding author), Juliana K Mwongerezi (Ministry of Health, Community Development, Gender, Elderly and Children), Canute Hyandye (0000-0003-3998-3908, Institute of Rural Development Planning), Canute B Hyandye (Institute of Rural Development Planning)
Year2022
Volume8
Issue1
Publication date2022-12-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCogent Social Sciences (JOURNAL)
Journal identifiersISSN: 2331-1886 • E-ISSN: 2331-1886
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/23311886.2022.2137963
OpenAlexW4307137718
LanguageEN
Citations received1
References cited34

This study assessed the spatial and non-spatial patterns of household fuel choice and the factors influencing choices using data from rural and urban areas of Maswa District, Tanzania. Household spatial information was collected using a handheld Garmin Trex Global Positioning System to enable modeling and visualization of energy consumption. The Hot Spot Analysis (Getis-Ord Gi*) method was used to map the clusters of different types of cooking fuels. The non-spatial data were fitted to a Multinomial Logit model to estimate the significance of the factors that influence the choice of cooking fuels. A transition from traditional to modern fuels as explained in the “energy ladder” model suggests that with increasing affluence, a progression is expected from traditional biomass fuels to more advanced and less polluting fuels. Contrary to this model, however, multiple-fuel use or fuel stacking was more prevalent than fuel switching. Fuel stacking constituted traditional (firewood, 63.9% of the households), transitional (charcoal, 66.6%), and modern (kerosene, liquefied petroleum gas, and electricity, 25.4%) fuels. Demographic and socio-economic factors were essential in household fuel choices. Overall, biofuels are the most common energy sources both in rural and urban areas, albeit at a varying degree of magnitude and significance. These results suggest the need to increase the production of biomass resources and end-use efficiency while promoting the use of clean fuels

Agricultural economics · Biofuel · Economics · Firewood · Greenhouse gas · Kerosene · Liquefied petroleum gas · Multinomial logistic regression · Renewable energy · Waste management · Electric Vehicles and Infrastructure · Energy and Environment Impacts · Engineering · Hybrid Renewable Energy Systems

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo

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