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Cooking fuel choices of households in urban areas in Uganda: a multinomial probit regression analysis

Joseph Elasu (Faculty of Economics, Energy and Management Sciences (FEEMs), Makerere University Business School, Kampala, Uganda)
Bright Richard Kimuli (Faculty of Economics, Energy and Management Sciences (FEEMs), Makerere University Business School, Kampala, Uganda)
Muyiwa S. Adaramola (Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway)

International Journal of Building Pathology and Adaptation

ISSN: 2398-4708

Article publication date: 7 September 2021

Issue publication date: 8 March 2022

143

Abstract

Purpose

This study explores the economic and sociodemographic factors that influence households' decisions on the type of fuel used for cooking in urban areas in Uganda.

Design/methodology/approach

In total, two cross-section data surveyed by the Uganda Bureau of Statistics (UBOS) in 2012/13 and 2016/17 were used to analyze consumption of energy for cooking purposes in urban areas of Uganda. This paper employed a multinomial probit regression model and the corresponding marginal effects to analyze cooking fuel choices, which are biomass, electricity and gas and kerosene combined.

Findings

The results showed that household expenditure was statistically significant for the choice of cooking fuel chosen. Furthermore, kitchen type, dwelling type and apartment tenure type are found to be significantly influence the choice of household cooking fuel decisions.

Originality/value

This study takes into consideration the combined influence of the kitchen type, dwelling and tenure type as explanatory variables for the choice of cooking fuel for households in urban areas in Uganda. These factors have not been considered in previous studies done in Uganda, especially within the context of urban households when making choices for cooking fuel.

Keywords

Citation

Elasu, J., Kimuli, B.R. and Adaramola, M.S. (2022), "Cooking fuel choices of households in urban areas in Uganda: a multinomial probit regression analysis", International Journal of Building Pathology and Adaptation, Vol. 40 No. 2, pp. 283-298. https://doi.org/10.1108/IJBPA-12-2020-0112

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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