Drivers of variation in fuel choice for cooking: From the selected towns of North Shoa, Oromia Regional State, Ethiopia

This study aimed to examine household fuel choice behaviour and drivers of variation in fuel choice for cooking. It utilizes descriptive statistics, ordered logit model and generalized ordered logit model to analyze the influence of independent variables upon dependent variables. The result shows that, mixed fuels are the dominant sources of energy with 43.75 % followed by unclean fuel with 33.25 % and then clean fuel with 23 %. This confirms 'households' Fuel-Stacking behaviour. The result of the ordered logit model suggest that variables like family size, per monthly income, the gender of household head, household ownership of electric meter, ownership of housing unit, marital status, age, occupation, educational levels of household heads, and the number of the adult females are statistically significant at 1 %, 5 %, and 10 % while, place of residence and occupation (self-non agriculture) are statistically insignificant to determine fuel choice. Identifying the fuels which are chosen by households should serve as a guide for government and policymakers in the formulation and implementation of policies and strategies that will guarantee optimal access to clean energy sources. Therefore, the government should improve the supply and distribution of electric meters by subsidizing them.

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Publication Details

Journal
Heliyon
Published
2024-09-19
DOI
https://doi.org/10.1016/j.heliyon.2024.e38109
Citations
3
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
0.40
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article

Drivers of variation in fuel choice for cooking: From the selected towns of North Shoa, Oromia Regional State, Ethiopia

Toleshi Wakjira Adugna
3 citations
Heliyon
Energy and Environment Impacts
0.40
article

Drivers of variation in fuel choice for cooking: From the selected towns of North Shoa, Oromia Regional State, Ethiopia

Toleshi Wakjira Adugna
article en
3 citations

Abstract

This study aimed to examine household fuel choice behaviour and drivers of variation in fuel choice for cooking. It utilizes descriptive statistics, ordered logit model and generalized ordered logit model to analyze the influence of independent variables upon dependent variables. The result shows that, mixed fuels are the dominant sources of energy with 43.75 % followed by unclean fuel with 33.25 % and then clean fuel with 23 %. This confirms 'households' Fuel-Stacking behaviour. The result of the ordered logit model suggest that variables like family size, per monthly income, the gender of household head, household ownership of electric meter, ownership of housing unit, marital status, age, occupation, educational levels of household heads, and the number of the adult females are statistically significant at 1 %, 5 %, and 10 % while, place of residence and occupation (self-non agriculture) are statistically insignificant to determine fuel choice. Identifying the fuels which are chosen by households should serve as a guide for government and policymakers in the formulation and implementation of policies and strategies that will guarantee optimal access to clean energy sources. Therefore, the government should improve the supply and distribution of electric meters by subsidizing them.

HeliyonVol. 10(19)
DeSales University (US)
Zero hunger
Openalex Percentile: Top 47%
Energy and Environment Impacts
0.40
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Drivers of variation in fuel choice for cooking: From the selected towns of North Shoa, Oromia Regional State, Ethiopia — Toleshi Wakjira Adugna · Heliyon (2024) | TGRS Research Map | TGRS