This paper examines the factors that Uganda’s households consider when making fuel choices for cooking and investigates the key drivers of fuel choice. The study adopts a quantitative cross sectional research design....This paper examines the factors that Uganda’s households consider when making fuel choices for cooking and investigates the key drivers of fuel choice. The study adopts a quantitative cross sectional research design. The dependent variable of the empirical model is a qualitative response variable which defines three mutually exclusive and highly differentiated discrete choices for cooking fuels, namely: the traditional fuel (firewood), the transitional fuel (charcoal), and the modern (LPG & electricity). Results from the study show that the most important drivers of fuel choice for cooking in Uganda’s households are: household income, age of household head, gender of household head, marital status, education levels of household head and location of a household. Results also reveal high dependency of firewood as cooking energy source among households in Uganda.展开更多
Renewable technologies such as solar present some of the possibilities for indoor and outdoor lighting in the remotest rural Africa where grid connections may take ages.This paper examined the key determinants that dr...Renewable technologies such as solar present some of the possibilities for indoor and outdoor lighting in the remotest rural Africa where grid connections may take ages.This paper examined the key determinants that drive household lighting fuel using a nationally representative sample(14,415 households)across Rwanda.Results from a multinomial probit regression show that rural location,house ownership,household wealth,and nonfarm work are some of significant factors that influence lighting fuel choices in Rwanda.Robustness of the results indicates that household wealth levels and other regional differences are likely to influence choice probability for using clean energy sources such as solar confirming the need to priotise wealth generation.The study’s findings suggest the need for joint efforts by government and non-state actors to priotise household wealth generation,promotion of non-farm activities and improvement of infrastructures to reduce rural-urban bias and differences across the regions,assuming that wealth will motivate rural households to switch to clean energy sources.展开更多
文摘This paper examines the factors that Uganda’s households consider when making fuel choices for cooking and investigates the key drivers of fuel choice. The study adopts a quantitative cross sectional research design. The dependent variable of the empirical model is a qualitative response variable which defines three mutually exclusive and highly differentiated discrete choices for cooking fuels, namely: the traditional fuel (firewood), the transitional fuel (charcoal), and the modern (LPG & electricity). Results from the study show that the most important drivers of fuel choice for cooking in Uganda’s households are: household income, age of household head, gender of household head, marital status, education levels of household head and location of a household. Results also reveal high dependency of firewood as cooking energy source among households in Uganda.
文摘Renewable technologies such as solar present some of the possibilities for indoor and outdoor lighting in the remotest rural Africa where grid connections may take ages.This paper examined the key determinants that drive household lighting fuel using a nationally representative sample(14,415 households)across Rwanda.Results from a multinomial probit regression show that rural location,house ownership,household wealth,and nonfarm work are some of significant factors that influence lighting fuel choices in Rwanda.Robustness of the results indicates that household wealth levels and other regional differences are likely to influence choice probability for using clean energy sources such as solar confirming the need to priotise wealth generation.The study’s findings suggest the need for joint efforts by government and non-state actors to priotise household wealth generation,promotion of non-farm activities and improvement of infrastructures to reduce rural-urban bias and differences across the regions,assuming that wealth will motivate rural households to switch to clean energy sources.
