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The objective of the study was to identify the determinants of household energy choice in Ambo town. Both primary and secondary data were gathered from respondents through questionnaires and interviews. The secondary data was collected from the Ambo administration, the Ambo health office, and the Ambo town energy and mineral office. Descriptive statistics and Multinomimial logistics regression were used to analyze the data. Multiple stage sampling was used to draw the sample. Firstly, three Kebeles were purposively selected from six Kebeles as center and distance from the center of town, and then systematic sampling was employed to collect data from 201 sample size. The result of descriptive statistics showed that gender, educational level, income, occupation, and livestock affect the energy choice whereas the F-test result showed that gender and educational level, income, occupation, and livestock were significant variables. In econometrics analysis, the results of multinomial logistics regression the analysis showed that gender, education, and income were statistically significant at a 5% level of significance. Occupation and marital status were significant at a 5% and 10% level of significance with different signs of coefficient, respectively. Based on the findings, the study suggests that influencing households’ energy choice and improvement of modern energy accessibility will play a critical role in the transition of households from traditional to modern energy sources to protect the health and environment of the residents of the town.

Determinants of household energy choice in West Shoa Zone: in the case of Ambo Town